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BMC Health Services Research
Information andcommunication
technology-based interventions forsuicide
prevention implemented inclinical settings:
ascoping review
Hwayeon Danielle Shin1,2*, Keri Durocher2,3,4, Lydia Sequeira2, Juveria Zaheer5,6,7, John Torous8 and
Gillian Strudwick1,2
Abstract
Background A large number of information and communication technology (ICT) based interventions exist for
suicide prevention. However, not much is known about which of these ICTs are implemented in clinical settings and
their implementation characteristics. In response, this scoping review aimed to systematically explore the breadth of
evidence on ICT-based interventions for suicide prevention implemented in clinical settings and then to identify and
characterize implementation barriers and facilitators, as well as evaluation outcomes, and measures.
Methods We conducted this review following the Joanna Briggs Institute methodology for scoping reviews. A search
strategy was applied to the following six databases between August 17–20, 2021: MEDLINE, Embase, CINAHL, Psy-
cINFO, Web of Science, and Library, Information Science and Technology Abstracts. We also supplemented our search
with Google searches and hand-searching reference lists of relevant reviews. To be included in this review, studies
must include ICT-based interventions for any spectrum of suicide-related thoughts and behaviours including non-
suicidal self-injury. Additionally, these ICTs must be implemented in clinical settings, such as emergency department
and in-patient units. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for
Scoping Reviews (PRISMA-ScR) checklist to prepare this full report.
Results This review included a total of 75 citations, describing 70 studies and 66 ICT-based interventions for suicide
prevention implemented in clinical settings. The majority of ICTs were computerized interventions and/or applica-
tions (n = 55). These ICTs were commonly used as indicated strategies (n = 49) targeting patients who were actively
presenting with suicide risk. The three most common suicide prevention intervention categories identified were post-
discharge follow-up (n = 27), screening and/or assessment (n = 22), and safety planning (n = 20). A paucity of reported
information was identified related to implementation strategies, barriers and facilitators. The most reported imple-
mentation strategies included training, education, and collaborative initiatives. Barriers and facilitators of implemen-
tation included the need for resource supports, knowledge, skills, motivation as well as engagement with clinicians
with research teams. Studies included outcomes at patient, clinician, and health system levels, and implementation
outcomes included acceptability, feasibility, fidelity, and penetration.
*Correspondence:
Hwayeon Danielle Shin
hdanielle.shin@mail.utoronto.ca
Full list of author information is available at the end of the article
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Page 2 of 60
Shinetal. BMC Health Services Research (2023) 23:281
Conclusion This review presents several trends of the ICT-based interventions for suicide prevention implemented in
clinical settings and identifies a need for future research to strengthen the evidence base for improving implementa-
tion. More effort is required to better understand and support the implementation and sustainability of ICTs in clinical
settings. The findings can also serve as a future resource for researchers seeking to evaluate the impact and imple-
mentation of ICTs.
Keywords Information communication technology, eHealth, Suicide prevention, Implementation, Digital health,
Health Informatics, Psychiatry, Mental health
Introduction
e World Health Organization (WHO) reports that
there are over 700,000 annual deaths by suicide world-
wide [1, 2]. Globally, suicide is the fourth leading cause
of deaths for youth and young adults [1], and specifically
it is the second in Canada and USA [3, 4], and the first in
Australia [5]. As such, suicide prevention is a top global
health priority [6]. Suicide is preventable with timely, evi-
dence-based interventions [2]. ere are evidence-based
interventions for suicide prevention, such as risk assess-
ment, safety planning interventions, and follow-up care
[7, 8], all of which are delivered in clinical settings, such
as emergency departments. We also recognize the impor-
tance of population-level approaches to suicide preven-
tion, such as gatekeeper training programs in schools [8].
However, clinical attention for suicide prevention cannot
be overlooked, and individuals who suffer from suicide
ideation must receive clinical attention [9, 10].
A review published in 2002 investigated 40 studies
from the United States (US), United Kingdom (UK), Can-
ada, Finland, and Sweden and found that 33% of individ-
uals who died of suicide had contact with mental health
services in the year before death and 20% in the month
before death [11]. Not much has changed since then, and
we continue to observe missed opportunities. In Can-
ada, a study in 2014 examined 8,851 suicide deaths and
found 50% of these individuals had visited an emergency
department in the year before death, and one third had
died within the month of discharge [12]. is speaks to a
critical opportunity for suicide prevention in clinical set-
tings, which will be the focus of this review.
Information and communication technology (ICT)
[13] or eHealth [14] includes a wide range of digi-
tal tools such as internet, telemedicine, and mobile
technologies. In this review, we refer to ICTs collec-
tively as technologies, advanced multimedia, software
programmes and/or telecommunications that allows
efficient communication, management, storage, dis-
semination and exchange of information [13], and
eHealth refers to use of ICTs for health [14]. ere is
a large number of ICT-based interventions for men-
tal health, including suicide prevention strategies [15,
16]. For example, Rassy etal. identified 115 ICT-based
interventions for suicide prevention, and they include
web-based tools, online programs, and mobile applica-
tions [16]. Given the widespread use of technologies in
this modern world, including mobile phones, ICTs have
the potential to improve suicide prevention by remov-
ing geographical barriers and increasing access and
availability of evidence-based interventions [16]. Addi-
tionally, ICTs may not replace clinical encounters, but
it can be augmented to expand existing suicide preven-
tion care.
ere is a growing body of evidence for the effective-
ness of ICT-based interventions for suicide preven-
tion [15, 17–21]. For example, Witt etal. identified 14
online programs and mobile apps for self-management
of suicide ideation and concluded with some evidence
of reductions in suicidal ideation associated with using
these digital interventions [20]. Arshad etal. also identi-
fied 22 clinical trials of ICT-based interventions for sui-
cide prevention, which included online support tools for
coping skills often derived from a well-established cog-
nitive behavioural therapy and concluded with a favour-
able effect on reducing suicide thoughts [19]. Despite the
clinical potential and a large number of available ICTs for
mental health, clinical integration remains limited, and
clinicians, service users, and hospitals continue to face
challenges to achieve sustainable adoption [22–24]. It has
been repeatedly reported that implementation of ICTs
rarely moves beyond feasibility trials or initial adoption,
and sometimes ICTs are abandoned [25].
Healthcare is a complex adaptive system, which is
shaped by multiple, constant interdependent interac-
tions and relationships [26, 27]. When complexities
exist related to care settings or implementation chal-
lenges, the less likely ICTs are to be adopted and sus-
tained [25, 28]. As such, research teams are required
to move beyond traditional cause-and-effect thinking,
embrace complexity, and examine dynamic processes
inherent within. Specifically for mental health apps,
there was a recent call for attention to complex con-
texts in which apps are being implemented [22]. It is
critical to prospectively assess determinants of imple-
mentation and then strategically develop implementa-
tion strategies to match the contextual needs.
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Shinetal. BMC Health Services Research (2023) 23:281
Efforts are needed to support clinical integration of
ICT-based interventions for suicide prevention as well as
their spread and maintenance to ensure that useful ICTs
are reaching people who are in need. Currently, the lit-
erature on ICT-based interventions for suicide preven-
tion describes their characteristics and/or evaluates their
effectiveness in reducing suicide behaviours and risks,
but not much is known about clinical integration of ICTs
[15–20]. For example, it remains unknown how many
of 115 ICT-based interventions for suicide prevention
identified by Rassy etal. have been implemented in clini-
cal settings [16]. Research has not yet comprehensively
explored evidence on ICTs implemented in clinical set-
tings and their implementation characteristics, including
barriers and facilitators. Given the lack of successful clin-
ical integration of ICTs [22–24], this review was needed
as a first step to inform implementation efforts for useful
ICTs for suicide prevention in clinical settings. Scoping
reviews are suggested when researchers need to identify
the types of available evidence and key characteristics
related to a concept rather than to perform a meta-analy-
sis to make practice recommendations [29, 30]. Further-
more, this review was needed to determine the range of
studies before carrying out our future multi-phase pro-
ject to develop and evaluate implementation strategies
for a mobile app-based intervention for suicide preven-
tion in clinical settings. As such, the current scoping
review aimed to systematically explore the breadth of evi-
dence on ICT-based interventions for suicide prevention
implemented in clinical settings and then to character-
ize barriers and facilitators to implementation, as well as
measures and outcomes reported in this body literature.
Research questions
To achieve the research aim stated above, this scoping
review addressed the following questions.
1. What ICT-based interventions for suicide preven-
tion have been implemented in clinical settings?
1.1. What are the reportedbarriers and facilitators
to implementing these ICT-based interventions?
1.2. What are the reported measures and outcomes
of these ICT-based interventions?
Methods
is review followed the Joanna Briggs Institute (JBI)
methodology [31, 32] and this report was prepared
following the Preferred Reporting Items for System-
atic reviews and Meta-Analyses extension for Scoping
Reviews (PRISMA-ScR) checklist [33]. Our a priori
protocol has been previously published [34]. We also
searched PROSPERO, the Cochrane Database of
Systematic Reviews and JBI Evidence Synthesis and Open
Science Framework in June-July 2021 and identified no
ongoing systematic or scoping reviews on the same topic.
Inclusion/exclusion criteria
Population
All clinicians both licenced and regulated practition-
ers were considered for inclusion in this review. Various
healthcare professionals, such as physicians, nurses and
social workers, provide direct care, and they are often
collectively referred to as ‘clinicians’ [35, 36]. Addition-
ally, unregulated clinical support team members and peer
support workers were considered for inclusion because
these roles are increasingly integrated into mental health
care settings [37, 38]. is population criterion was rela-
tively less significant than the context criterion because
who implemented ICT-based interventions was often
part of the context.
Concept
is review considered all types of ICT-based interven-
tions for suicide prevention. Routine care (i.e., treatment
as usual) provided via virtual platforms or telephones
were excluded unless an ICT-based intervention was
delivered to patients. erefore, following the WHO’s
definition for intervention, ICT-based interventions
needed to assess, improve or promote service users’
health outcomes [39]. Suicide-related thoughts and
behaviours is an umbrella term that refers to a spectrum
of suicide ideation, communication, behaviours, and
attempts with having any frequencies of suicidal thoughts
with actual, undetermined, or no suicidal intent [40]. To
be included, ICT-based interventions must be related to
any sub-category of suicide-related thoughts and behav-
iours including non-suicidal self-injury (NSSI). Although
NSSI is a unique phenomenon from actual suicide
attempt, we decided to include it because NSSI is one of
the risk factors for future attempt and suicide [41, 42].
According to WHO, there are three levels of suicide pre-
vention: 1) Universal, 2) Selective, 3) Indicated. Univer-
sal strategies for suicide prevention work at a population
level [1]. Selective prevention strategies target individuals
who may not be currently expressing suicidal behaviours
but are at a greater risk of suicide based on their char-
acteristics such as age, sex and/or medical history [1].
Indicated prevention strategies target individuals who
are presenting active risk or early signs of suicide poten-
tial, such as suicide attempt [1]. ICT-based interventions
for any levels of suicide prevention were considered for
inclusion. Suicide prevention interventions in this review
included, but were not limited to, suicide risk assessment,
safety planning intervention and lethal means restriction
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Shinetal. BMC Health Services Research (2023) 23:281
[7, 8]. Lastly, this review considered all ICT-based inter-
ventions that targeted patients of any age.
Context
All hospitals or clinical settings were considered for
inclusion. For this review, a clinical setting was defined as
any context where clinician-patient interactions occurred
in real-time. erefore, who implemented the ICT-based
intervention was part of the context. To be considered for
inclusion, ICT-based interventions needed to be imple-
mented and initiated in clinical settings. erefore, this
review excluded crisis services because they are first ini-
tiated by patients, often in a public context, which we
assumed to have different implementation characteristics
compared to ICTs initiated in clinical settings. Addition-
ally, there has already been a systematic review investi-
gating effectiveness of crisis lines [43]. Self-support tools
that patients can freely download from app stores or tools
that involved self-referrals after reading public advertise-
ments were also excluded as these were being initiated in
non-clinical settings. Further to this, studies focusing on
the development of ICT(s) without implementation were
excluded. See Table1 for summary of eligibility criteria.
Search strategy
We worked with a health sciences librarian to develop a
comprehensive search strategy to find relevant scholarly
literature in several bibliographic databases. is scop-
ing review followed a three-step search strategy outlined
in JBI methodology [31, 32]. First, a librarian devel-
oped and refined a draft strategy in Medline, then ana-
lyzed text words and index terms contained in titles and
abstracts of relevant articles as well as the subject head-
ings. Second, relevant text words and index terms from
the selected articles were used to develop a full search
strategy. ird, the search strategy comprised of all
identified keywords and index terms was adapted for all
included databases. is required iterative steps of revis-
ing and testing, and the final search strategies were peer-
reviewed by a second research librarian using the Peer
Review of Electronic Search Strategy (PRESS) guidelines
[44]. A librarian ran the search in the following databases
on August 17–20, 2021: MEDLINE (Ovid), Embase (Else-
vier), CINAHL (EBSCO), PsycINFO (EBSCO), Web of
Science, and Library, Information Science and Technol-
ogy Abstracts (LISTA). e selection of the listed data-
bases was informed by consultation with a librarian, and
they provide full coverage of literature likely to provide
information specific to ICTs in clinical settings. All final
search strategies are presented in Additional File 1.
Godin’s targeted Google search method [45] was used
to locate additional eligible sources. First, we conducted
ten unique Google searches with combinations of key-
words and then reviewed the first ten pages of each
Table 1 Inclusion criteria
Inclusion criteria
Population All members of clinical care team
• Licenced and regulated practitioners
• Unregulated practitioners or clinical support teams such as peer support workers
Concept • Information and Communication Technologies (ICTs): “A set of technologies
resulting from the convergence of information technology and advanced multi-
media and telecommunications techniques, which have enabled the emergence
of more efficient means of communication, by improving processing, storage,
distribution and exchange some information” [13]
• Suicide-related thoughts and behaviours [40]: represent a spectrum of suicide-
related ideation, communication, behaviours and attempts with having casual to
persistent suicidal thoughts with actual, undetermined or no suicidal intent (e.g.,
NSSI). This review will consider ICT-based interventions for suicide prevention
regarding any sub-category of suicide-related thoughts and behaviours
• Suicide prevention interventions included but was not limited to the following
list adapted from Wilson [7] and Zalsman [8]
• Screening and assessment
• Safety plan (e.g., identifying warning signs coping strategies, emergency con-
tacts)
• Lethal means restriction and counselling
• Discharge or post-discharge follow up
• Behaviour or cognitive therapies
Context Clinical/hospital setting or context (i.e., clinician-patient interaction in real time)
Source • Primary research studies of any design
• Study protocols
• Conference papers, reports from relevant health services organizations
Language English
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Shinetal. BMC Health Services Research (2023) 23:281
search results to identify international and national
health services websites. Second, we hand-searched rel-
evant websites identified in the first step to find eligible
sources. ese two steps were carried out in incognito’
mode, which limited the impact of previous search his-
tory on new results. is Google search was comple-
mentary to the database searches to identify additional
sources of evidence that our search strategy might have
missed.
Types ofsources
All research study designs were included (e.g., quantita-
tive, qualitative, mixed methods). Although study pro-
tocols did not have empirical data, we included them to
capture relevant details. Protocols tend to include details
on interventions and implementation, such as interven-
tion components, implementation plans, implementa-
tion blueprints, and discrete implementation strategies.
Such information is useful characteristics to identify. Fur-
thermore, by including protocols, we can reflect upcom-
ing trends, such as the most used research designs in
the upcoming years. Reference lists of relevant litera-
ture reviews, commentaries, and opinion papers were
reviewed to identify additional primary studies that met
our eligibility criteria. We also considered grey literature
for inclusion, such as conference papers and reports from
relevant health organizations. Sources had to be available
in English, and no date parameters were applied.
Study selection
All identified citations were uploaded into Covidence
[46] and duplicates were automatically removed by
Covidence. Two reviewers (HDS, LS) independently
screened titles and abstracts against the eligibility crite-
ria. Next, relevant full-text articles were retrieved into
Covidence [46], and the primary (HDS) and secondary
reviewers (KD, LS) independently assessed them in detail
against the eligibility criteria. Reasons for exclusion were
recorded at the full-text screening phase and reported in
the PRISMA flow diagram. Any discrepancies between
the reviewers (HDS and LS or HDS and KD) at each
stage were resolved either through discussion or by a
third reviewer (KD or LS). Scoping reviews generally do
not require methodological assessment [32], thus critical
appraisal was not conducted.
Data extraction
We developed an extraction tool in Covidence to capture
characteristics of the paper, setting, participating clini-
cians, implementation strategies, descriptions of ICT-
based intervention(s), patient population, barriers and
facilitators to implementing ICTs, and reported meas-
ures and outcomes. ree reviewers (HDS, KD, LS) first
pilot-tested the extraction tool on three studies to iden-
tify any discrepancies or inconsistencies prior to data
extraction. Each person extracted the same three stud-
ies independently using the extraction tool. We initially
proposed to pilot-test the extraction tool on five stud-
ies. However, after testing on three studies for calibra-
tion exercise, the team agreed that all relevant data were
captured, so we decided to start independent extraction
without testing on two more studies. Minor changes to
the original extraction tool were made, such as extract-
ing the reported use of theories, models, or frameworks.
e primary (HDS) and secondary reviewers (KD, LS)
independently extracted data using Covidence [46]. Any
conflicts in data extraction were resolved either through
discussion between the two reviewers (HDS and LS or
HDS and KD) or by a third reviewer (KD or LS). Final
version of the data extraction tool is included in Addi-
tional File 2.
Data analysis
Following data extraction, we characterized extracted
data using frameworks, typology, and taxonomy. First,
identified ICT-based interventions for suicide prevention
were categorized using a typology for e-Mental Health
created by the Mental Health Commission of Canada
(MHCC) [47]. Intervention descriptions were then char-
acterized based on the suicide prevention interventions
category adapted from Wilson [7] and Zalsman [8], and
the WHO’s three levels of suicide prevention [1].
Second, we performed directed content analysis [48]
using the Behaviour Change Wheel (BCW) [49, 50] and
the eoretical Domains Framework (TDF) [51] to map
clinician-reported barriers and facilitators to imple-
menting ICT-based interventions. ey are comprehen-
sive, evidence-based behaviour frameworks that capture
internal and external influences of behaviour change.
e Capability, Opportunity and Motivation – Behaviour
(COM-B) model within the BCW explains behaviours by
describing interactions between one’s capability, oppor-
tunity and motivation [49]. TDF is a 14-domain behav-
ioural framework that expands the COM-B [51], so when
used together, TDF allows for granularity of behaviour
analysis [52]. Furthermore, benefits of using BCW and
TDF for assessing implementation barriers and facilita-
tors have been previously documented across healthcare
disciplines [53–55]. Narrative descriptions of reported
barriers and facilitators were mapped onto the COM-B
and TDF.
ird, this review categorized reported measures and
outcomes of ICT-based interventions for suicide pre-
vention. Outcomes were categorized as either imple-
mentation outcomes or impact outcomes of the ICTs.
Implementation outcomes were further categorized
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Shinetal. BMC Health Services Research (2023) 23:281
using Proctor’s Implementation Outcomes Framework:
(1) Acceptability, (2) Adoption, (3) Appropriateness,
(4) Feasibility, (5) Fidelity, (6) Implementation cost, (7)
Penetration, and (8) Sustainability [56]. Impact out-
comes or intervention outcomes were categorized into
three levels: (1) Patient, (2) Health care provider (i.e.,
clinician), (3) Health system. Patient level impact was
further categorized into patient-reported outcomes
(PRO) [57], patient-reported experience (PRE) [58],
and patient health outcomes (e.g., mortality) [59]. PRO
comes from patients and often records patients’ view of
their health status and condition [57]. Patients’ views of
their own health can provide insight into the impact of
an intervention [58]. In contrast to PRO, PRE measures
patients’ perceptions and experiences of receiving care,
providing insight into the quality of care during the
intervention and the process of care [58]. Health care
provider level outcomes include conceptual knowl-
edge use (i.e., proximal practice change), instrumental
knowledge use (i.e., observable practice change) [60],
and other provider-reported experiences. Examples of
conceptual knowledge use include levels of knowledge,
and examples of instrumental knowledge use include
rates of completed assessments [60]. Lastly, system
level outcomes include resource utilization and eco-
nomic outcomes such as cost effectiveness, and read-
mission rates [59]. Additional File 3 provides the full
coding strategy with operationalized definitions.
e coding strategy was pilot tested on three studies
by the primary reviewer (HDS), who has experience in
qualitative research. en second reviewers (LS, KD)
who also have qualitative research experience reviewed
the coded data generated by HDS to identify discrep-
ancies and ensure consistency in coding. LS reviewed
the coded data for barriers and facilitators and KD
reviewed the categorized outcomes. LS and KD each
reviewed half of the coded data for the characteris-
tics of ICT-based interventions for suicide prevention.
No changes were made to the coding strategy after
pilot testing, and the primary reviewer (HDS) coded
the rest of the data. en the second reviewers (KD,
LS) reviewed all coded data to verify HDS’s work. Any
disagreements between the reviewers were resolved
through discussion.
Data summarizing andreporting results
We charted the data in a tabular form that aligns with the
review questions and aim. We also produced descriptive
numerical summaries of the quantitative data (i.e., fre-
quency counts) and graphical figures. We then provided
narrative summaries to accompany these presentations
and addressed the review questions and aim.
Results
Our database searches resulted in 6,008 citations. After
duplicate removal, 3,659 citations remained for assess-
ment against the eligibility criteria. After screening titles
and abstracts, 242 citations remained for full-text review,
and we identified an additional 6 relevant papers through
Google searches and reviewing references of relevant
reviews. is review included a total of 75 citations,
describing 70 studies and 66 ICT-based interventions.
See Fig.1 for the PRISMA flow chart which includes the
reasons for excluding full-text articles.
Characteristics ofincluded studies
Of the 70 papers, there were 52 research studies and
18 study protocols. ere were five protocols of com-
pleted studies (i.e., protocol-study dyads) [61–65]. Sev-
enty studies were a mix of experimental design (n = 22)
[66–87], observational design (n = 12) [88–99], qualita-
tive design (n = 3) [100–102], case study (n = 1) [103],
quality improvement report (n = 1) [104], and feasibility/
pilot trial (n = 31) [105–135] that served as a precursor
to a larger study. ese 70 studies originated from USA
(n = 32) [69, 71, 73, 75, 76, 78, 81, 83, 88–90, 94–96, 98,
103, 104, 106, 109, 112–116, 118, 120–122, 124, 125, 132,
134], France (n = 8) [68, 72, 77, 86, 87, 91, 92, 105], UK
(n = 8) [84, 97, 101, 107, 108, 131, 133, 135], Australia
(n = 5) [67, 85, 117, 126, 128], Denmark (n = 5) [66, 82,
100, 127, 130], Canada (n = 4) [74, 93, 102, 111], South
Korea (n = 2) [99, 119], Netherlands (n = 1) [129], Iran
(n = 1) [80], Sri Lanka (n = 1) [79], Japan (n = 1) [123],
Spain (n = 1) [70], and Portugal (n = 1) [110]. Studies
took place most commonly in out-patient clinical settings
(n = 43) [66, 67, 69–71, 73, 75, 76, 82–88, 90–92, 94, 96,
99–103, 105–107, 109–111, 114, 115, 117, 118, 123, 125,
127, 129–132, 134], such as emergency departments and
clinics, then in-patient clinical settings (n = 14) [77–80,
93, 97, 98, 108, 113, 120–122, 128, 135], such as in-patient
psychiatric units, and a mixture of both (n = 11) [68, 72,
74, 81, 89, 95, 104, 116, 119, 124, 133]. e remaining
two studies were conducted in mental health hospitals
but did not report specific clinical setting characteris-
tics [112, 126]. Examples of involved clinicians included
psychiatrists, nurses, physicians, social workers, and
behaviour health clinicians, such as psychologists. Lastly,
there was a lack of reported theories, models, or frame-
works (TMFs) guiding research. Seven studies explicitly
reported TMFs guiding their research [116, 118, 119, 124,
129, 131, 135], including the User-Centered Design Prin-
ciples, Proctor’s Implementation Outcomes Framework,
eory of Planned Behaviour, Interpersonal Psycho-
logical eory of Suicide, Integrated Motivational-Voli-
tional model of suicidal behaviour, Medical Research
Council, Process evaluation framework for analysis, and
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Shinetal. BMC Health Services Research (2023) 23:281
Normalisation Process eory. Table2 summarizes over-
all characteristics of included papers.
What ICT‑based interventions forsuicide prevention have
been implemented inclinical settings?
is review identified a total of 66 ICT-based interven-
tions for suicide prevention implemented in clinical
settings. Based on the WHO levels of suicide preven-
tion strategies, identified ICT-based interventions were
used as universal (n = 4), selective (n = 10), or indicated
(n = 53) strategies for suicide prevention. One ICT (i.e.,
Virtual Hope Box app) was used as both selective and
indicated strategies in different studies [69, 88, 109].
While most ICTs targeted individuals who were at an
imminent risk of suicide or were displaying early signs of
suicide potential, fewer ICTs were used as selective strat-
egies targeting at-risk populations, such as veterans, or
patients living with human immunodeficiency virus, or
cancer. A few ICT-based interventions were used as uni-
versal strategies aimed at population level, which may be
explained by this review’s inclusion criteria being clinical
context.
e 66 ICT-based interventions for suicide preven-
tion served multiple functions; they were used for sui-
cide screening and assessment (n = 22), safety planning
(n = 20), lethal means restrictions and/or counselling
(n = 3), discharge or post-discharge follow-up care
(n = 27), therapy such as dialectical behavior therapy
(n = 4), and additional resources such as wellness tips
and journals (n = 18). Other (n = 12) functions of ICTs
included reminders to appointments, care plans, and
peer supports. Following the MHCC typology, most of
the ICTs were categorized as computerized interven-
tions (e.g., web-based tools), resources, and applications
(n = 55), of which 11 were text messages, 10 were mobile
applications (apps), and two were emails. Other types
included telehealth and telemedicine (n = 16), wear-
able computing and monitoring (n = 1), virtual reality
(n = 2), peer support through social media (n = 2), and
a robot (n = 1) (i.e., chatbot). Table3 summarizes above
characteristics of ICT-based interventions for suicide
prevention.
Implementation strategies
Overall, there was a lack of reporting on the implementa-
tion strategies for the included ICTs. Of the 75 included
papers, 31 reported implementation strategies, but the
level of detail varied. Training clinicians (n = 15) was
the most commonly reported implementation strategy
for the new ICT, focusing on building new skills [62, 63,
70, 71, 75, 95, 101, 110, 114, 115, 121, 127–129, 134]. A
few studies specifically reported using demonstration
Fig. 1 PRISMA flow chart
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Table 2 Characteristics of included studies
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
Andreasson et al., 2017 [66]
(Protocol) Denmark Experimental -Investigate if a safety plan-
ning tool delivered as an
app, compared to a safety
plan delivered by paper,
can reduce suicide ideation
after 12 months of interven-
tion in patients referred to
Suicide Prevention Clinics
Patients from Suicide
Prevention Clinics Seven Suicide Prevention
Clinics and their satellite
sites. Patients are typically
referred to the clinics from
somatic and psychiatric EDs
after a self-harm episode
Out-patient
Clinicians working at the
Suicide Prevention Clinics
Bailey et al., 2020 [67] Australia Experimental -Evaluate the safety,
feasibility, and acceptability
of a MOST intervention
(“Affinity”) among a sample
of young people who were
receiving treatment for
major depressive disorder
and had also experienced
past-four-week suicidal
ideation. -Explore changes
in cognitive and interper-
sonal targets of the Affinity
intervention, as well as
changes in self-reported
depression and suicidal
ideation
Patients with suicidal idea-
tion within the past four
weeks
The Youth Mood Clinic
(YMC), a tertiary-level out-
patient mental health ser-
vice that is part of Orygen,
a state government-funded
youth mental health service
in Melbourne, Australia.
YMC specialises in the treat-
ment of young people with
complex depression
Out-patient
Youth mental health clini-
cians from the youth mood
clinic and treating clinicians
and Affinity staff
Berrouiguet and Alavi et al.,
2014 [61]
(Protocol)
HUGOPSYNetwork et al.,
2018 [68]
France Experimental
*Only reported descriptive
results on selected cases
-Determine whether the
receipt of a text message
sent regularly over a six-
month period can reduce
suicidal and self-harming
behaviour among suicide
attempters
-Identify cases of patients
recruited in the SIAM
study that may demon-
strate the capability of a
mobile-based brief contact
intervention for triggering
patient
-Initiated contact with a
crisis support team at vari-
ous time points throughout
the mobile-based follow-up
period
Patients who attempted
suicide Psychiatric EDs and
psychiatric units. Public
funded specialist mental
health services for adults
(Brest, Rennes, Nantes, Lille,
Angers, Tours, Vannes)
Mixture
Psychiatrist, general physician
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Table 2 (continued)
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
Berrouiguet and Gravey
et al., 2014 [105]France Pilot/Feasibility trial -Assess the technical
feasibility of an automated
and tailored text messaging
tool in a sample of suicidal
patients. -Assess the
patient’s acceptability of
such intervention through a
phone interview
Patients who attempted
suicide Psychiatric ED
Out-patient Psychiatrist, general physician
Betz et al., 2020 [106] United States Pilot/Feasibility trial -Test the feasibility and
acceptability of Lock to Live
(L2L) among suicidal adults
in EDs
Patients with identified
suicide risk 4 large EDs in Colorado:
A tertiary care academic
center, an urban safety net
hospital, and a regional
medical center with 2 EDs
in a geographic region with
firearm ownership rates
that are higher than state
averages. All EDs had 24/7
coverage by behavioral
health specialists
Out-patient
Not reported
Brand and Hawton,
2021[107]United Kingdom Pilot/Feasibility trial -Ascertain the usefulness
for patients and clinicians of
a digital self-monitoring sys-
tem alongside outpatient
follow-up after patients
had presented to a general
hospital with self-harm
Patients with self-harm A large general hospital
in Oxford, England. The
Emergency Department
Psychiatric Service (EDPS)
is based in a large general
teaching hospital and offers
psychosocial assessment to
anyone aged over 13 years
who presents to a hospital
ED following an episode
of self-harm or any other
mental health issue
Out-patient
Five nurses in the EDPS team
Bruen et al., 2020 [108] United Kingdom Pilot/Feasibility trial -Report the practicalities
and acceptability of setting
up and trialling digital tech-
nologies within an inpatient
mental health setting in
the United Kingdom and to
highlight the implications
of these for future studies
Services users from acute
adult mental health wards 6 National Health Service
acute mental health wards
in Northwest United
Kingdom
In-patient
Not reported
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Table 2 (continued)
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
Bush et al., 2015 [109] United States Pilot/Feasibility trial Research questions:-Can
a smartphone app be
developed that contains
the essential elements of a
hope box and associated
elements of CT/DBT in a
package acceptable to and
usable by military service
members and veterans?
-Is the VHB app as usable,
acceptable, convenient,
and ostensibly useful as a
conventional hope box to
a clinical sample of service
veterans at high risk of self-
harm and suicide and their
providers?
High-risk of self-harm vet-
erans who either had bor-
derline personality disorder,
bipolar disorder, treatment
refractory depression, or
PTSD
Large, regional Veteran
Administration (VA) behav-
ioral health clinic
Out-patient
6 Clinical social workers and
one clinical psychologist,
with a mean of 7.9 years
(range 1–16 years) in practice
Bush et al., 2017 [69] United States Experimental -Assess the primary impact
of Virtual Hope Box (VHB)
on stress coping skills over
12 weeks, the secondary
impact of VHB on suicidal
ideation and reasons for
living, the use of VHB for
addressing emotional
dis-equilibrium away from
the clinic, and the patient
experience of VHB through
objective usage patterns
and self-reported usability
and perceived benefits
Veterans who currently
expressing suicidal ideation
or had expressed suicidal
ideation within the three
months before recruitment
13 Treatment programs
within Veteran Mental
Health Care (Outpatient—
Veterans Affairs Portland
Health Care System)
Out-patient
Behavioral health clinicians
Buus et al., 2020 [100] Denmark Qualitative -Explore different stake-
holder perspectives on the
MYPLAN app for suicide
prevention safety planning
Young and adult users with
variations in psychosocial
problems
Clinics that offer short-term,
specialized psychosocial
therapy to patients at risk
of suicide
Out-patient
Clinicians with median age
of 46 (range: 37–60). Female:
n = 9 Male: n = 1
Cassola et al., 2017 [110]
(Protocol) Portugal Pilot/Feasibility trial -Understand the health pro-
fessional’s satisfaction on
the use of the platform for
depression and suicidality
Patients with depression
and suicidality Primary health care setting
Out-patient 18 Primary care health pro-
fessionals
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Table 2 (continued)
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
Cebrià 2013 [70] Spain Experimental -Determine the effec-
tiveness of this specific
telephone management on
patients
Patients who attempted
suicide Emergency room of Cor-
poracio Sanitaria Parc Taulı
(CSPT) that covers an area
of 400,000 inhabitants and
provides urgent medical
attention for all suicidal
behaviours
Out-patient
Nurse
Chen et al., 2010 [111] Canada Pilot/Feasibility trial -Determine whether a
mobile telephone mes-
sage intervention would
be acceptable to suicide
attempters
-Explore the operational
procedures of this interven-
tion to help determine the
appropriate content of
supportive messages
-Test the feasibility of cell-
phone message interven-
tions
Patients who attempted
suicide EDs of two general hos-
pitals, Tongji Hospital and
Union Hospital, in Wuhan,
China
Out-patient
Nurses and psychologists
Chen et al., 2018 [88] United States Observational -Describe usage of specific
app subcomponents and
to determine if specific
demographic and clinical
characteristics were associ-
ated with higher or lower
overall use of the VHB
-Explore the association
between usage of the VHB
and psychosocial outcomes
Patients with recent or
ongoing suicidal ideation
and were engaged in active
mental health treatment
13 Clinical programs at a
large, north-western Veter-
ans Health Administration
hospital
Out-patient
Not reported
Comtois et al., 2019 [71] United States Experimental -Test the effectiveness of
augmenting standard mili-
tary health care with Caring
Contacts delivered via text
message to reduce suicidal
thoughts and behaviors
over 12 months
Patients with suicidal idea-
tion or suicide attempt 3 Military installations: an
Army base in the southern
United States, a Marine
Corps base and air stations
in the southern United
States, and a Marine Corps
base in the western United
States
Out-patient
Licensed masters level
mental health clinicians,
who were called continuity
clinicians and credentialed as
behavioural health clinicians
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Table 2 (continued)
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
Czyz et al., 2021 [113] United States Pilot/Feasibility trial -Investigate the feasibility
and acceptability of SMART
study procedures, including
the sequencing of interven-
tion components
Patients with suicidal idea-
tion or suicide attempt In-patient psychiatric unit
In-patient A total of 3 masters level
training in psychology or
social work (Counselors)
Czyz et al., 2020 [112] United States Pilot/Feasibility trial -Describe the process of
development and report on
the feasibility and accept-
ability of the text-based
intervention as a continuity
of care strategy promoting
coping and safety plan use
following discharge
Patients with suicidal idea-
tion or suicide attempt Adolescent mental health
hospital
Undetermined
Not reported
Davis et al., 2021[89] United States Observational -Describe levels of adoles-
cent suicide risk detected
via depression screening
in a large primary care
network-Understand fidel-
ity to the system’s suicide
risk assessment procedures
Examine follow-up for
adolescents at-risk for
suicidality in the year after
risk was detected
Patients with suicidal idea-
tion or suicide attempt A large pediatric healthcare
facility
Mixture
Not reported
Depp et al., 2021[114]
(Protocol) United States Pilot/Feasibility trial -Refine intervention
content and safety protocol
with input from community
stakeholders. -Evaluate
feasibility, engagement,
impact, and preliminary
comparison of START with
Mobile Augmentation
versus START alone
Patients with DSM-5 of
bipolar disorder, schizoaf-
fective disorder, or schizo-
phrenia and having suicidal
ideation
Public mental health
system (Walk-in or same-
day clinics) in San Diego,
California
Out-patient
A triage provider (typically a
social worker)
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Table 2 (continued)
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
Dimeff et al., 2020 [116] United States Pilot/Feasibility trial TMF:
User-centered design
principles
-Design, develop, and
evaluate the feasibility of
“Dr. Dave” and the Virtual
CAMS system, including
electronic “Caring Contac ts,”
for suicidal patients in EDs,
as well as a provider-facing
clinical decision support
tool to aid in discharge dis-
position to reduce unneces-
sary hospitalization
Patients with identified
acute suicide risk EDs and 3 private outpa-
tient specialty clinics
Mixture
21 Medical providers
Dimeff et al., 2021 [115] United States Pilot/Feasibility trial -Examine the feasibility,
acceptability, and effective-
ness of Jaspr Health for
adults who were acutely
suicidal in the ED
Patients with suicide
attempt and/or a lifetime
history of engaging in
non-suicidal self-injurious
behaviors
2 EDs from large health sys-
tems in Midwest US. Each
ED offered 24/7 psychiatric
care offered by behavioral
health providers
Out-patient
Behavioural health providers,
masters level social workers
and physician, psychiatrist
and psychiatric nurse prac-
titioner
Duhem et al., 2018 [72]
(Protocol) France Experimental -Implement an adaptive
recontact system that
smoothly and effectively
combines surveillance
and different types of Brief
Contact Interventions that
fit each patient’s specific
needs.-Optimise the care
management of patients
discharged from the hospi-
tal after a suicide attempt
by providing health stake-
holders with standardised
tools, effective skills and
specialised literacy
-Offer professionals
involved in the follow-up of
suicide attempters a readily
available alert network to
improve their coordination
and reactivity in case of
new suicidal crises
Patients who attempted
suicide A total of 28 Centres in
Nord–Pas-de-Calais region:
EDs, psychiatry crisis
centres, psychiatry depart-
ments, and private clinics
Mixture
Coordination team, and a
call team consisting of 3 psy-
chologists and 3 psychiatric
nurses
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Table 2 (continued)
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
Etter et al., 2018 [90] United States Observational -Assess the use of a com-
puterized clinical decision
support system (CDSS) to
screen adolescents for sui-
cide risk, deliver follow-up
recommendations to the
provider, and document
actual provider follow-up
actions in a primary care
setting
Patients who presented to
pediatric primary care clinic
for an annual or sick visit
Federally qualified health
center clinics that utilize
Child Health Improvement
through Computer Auto-
mation (CHICA) and are
part of an urban, Midwest
County hospital system
(Eskenazi Health)
Out-patient
Physicians were primarily
trained in pediatrics, family
medicine, and combined
internal medicine and
pediatrics, with some having
completed subspecialty
fellowship training in adoles-
cent medicine
Fossi Djembi et al., 2020
[91]France Observational -Test the hypothesis of a
correlation between the
decrease of SA rate and
the amount of coverage of
VigilanS
Patients who attempted
suicide 21 hospitals (EDs) in the
Nord-Pas-de-Calais region
Out-patient
Mental health care profes-
sionals specially trained in
suicidal crisis management
Fossi et al., 2021[92] France Observational -Describe the character-
istics of the patients, to
estimate the mean time
between suicidal iterations,
and to identify the profiles
of patients who had a sui-
cide reattempt compared
to other patients
Patients who attempted
suicide Emergency Department in
regional France
Out-patient
Not reported
Goodman et al., 2020 [73]
(Protocol) United States Experimental -Examine if Veterans who
are at high-risk for suicide
will benefit from the novel
group intervention, PLF,
compared to Veterans who
receive TAU (e.g., individual
safety planning)
Patients with suicidal idea-
tion or suicide attempt Multiple sites of Veterans
Health Administration
(VHA) in New York and
Philadelphia
Out-patient
2 Therapists
Gregory et al., 2017 [93] Canada Observational -Examine whether or not
we could effectively inte-
grate smartphone-based
safety planning into the dis-
charge process on a child
and adolescent inpatient
psychiatry unit
Patients discharged from
the child and adolescent
psychiatry inpatient unit
The child and adolescent
psychiatry inpatient unit at
London (Ontario) Health
Sciences Centre
In-patient
Unit staff (either nurses or
child and youth counsellors)
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Table 2 (continued)
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
Grist et al., 2018 [101] United Kingdom Qualitative -Explore the acceptability,
usability, and safety of
BlueIce with young people
aged 12–17 years who are
self-harming and attending
child and adolescent men-
tal health services (CAMHS)
Patients with self-harm CAMHS provided by Oxford
Health NHS Foundation
Trust. The Trust provides
mental healthcare for chil-
dren and young people in
Buckinghamshire, Oxford-
shire, Swindon, Wiltshire,
and Bath and North-East
Somerset
Out-patient
37 clinicians
Gros et al., 2011 [103] United States Case study -The case report concerns a
US veteran of the Afghani-
stan war with PTSD, who
developed severe suicidal
ideation
One patient (case report)
-45yrs old
-PTSD
-Suicidal ideation-African
American -Male-Veteran
-Lived in trailer with two
adult children -Divorced
Hospital in South-east US
Out-patient 2 Therapists
Hatcher et al., 2020 [74]
(Protocol) Canada Experimental -Evaluate the relationship
between the amount
of smartphone-assisted
problem-solving therapy
(PST) and suicidal ideas in
men over a 1-year period
Patients with self-harm 10 Sites from the depart-
ment of psychiatry and
department of emergency
medicine in Ontario,
Canada
Mixture
Not reported
Hetrick et al., 2017 [117] Australia Pilot/Feasibility trial Research Questions:-
Whether the online
depression and suicidal
ideation monitoring tool
was feasible in terms of
improving monitoring,
-How acceptable and useful
the tool was for clinicians
and clients, and -Whether a
refined (shorter) tool could
be implemented
Patients with depressive
symptoms or a depressive
disorder
One primary, two enhanced
primary care, and one ter-
tiary care setting in Victoria.
In the primary care setting
within a routine general
practice, mental health care
was provided to clients of
all ages. The tertiary care
setting was a public mental
health service (Orygen
Youth Health) for young
people aged 15–24 years
Out-patient
Clinicians from a range of
backgrounds including clini-
cal psychologists and other
allied health professionals
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Table 2 (continued)
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
Hill et al., 2020 [118] United States Pilot/Feasibility trial TMF:
Proctor ‘s Implementation
Outcomes Framework
-Evaluate whether use
of the Safety Planning
Assistant resulted in high
quality, completed safety
plans in a timely manner
and to evaluate participant
satisfaction with the Safety
Planning Assistant and par-
ticipant completion of the
intervention modules
Patients with identified
suicide risk Pediatric hospital in major
metropolitan area
Out-patient
Social worker
Jeong et al., 2020 [119] Korea Pilot/Feasibility trial TMF:
Theory of Planned Behav-
iour
-Develop and evaluate a
safety plan mobile app
based on the TPB for
adolescent suicide attempt
survivors (study 1)
-Evaluate its effectiveness
for target users (study 2)
Patients who attempted
suicide A mental health promotion
center in Seoul
Mixture
Study 1: 6 healthcare profes-
sionals who all worked in
an emergency or psychiatry
department. They all were
involved in treatment,
nursing, or consultation of
adolescent suicide attempt
survivors
Jerant et al., 2020 [75] United States Experimental -Examine the effect of Men
and Providers Prevent-
ing Suicide (MAPS) on
discussion of suicide during
primary care clinician
visits by middle-aged men
with recent active suicidal
thoughts. -Explore modera-
tion of the program’s effects
by the presence of suicide
preparatory behaviours, a
risk marker for suicide
Men who were assigned
to the panel primary care
clinician
Primary care offices in Sac-
ramento (California) area
Out-patient
32 Primary care clinicians: 21
(65%) were family physicians
and 11 (35%) were general
internists; they had practiced
on aver-age for 8 years (range
1–22); their mean age was
44 (range 29–61); 21 (65%)
were female; 19 (59%) were
non-Hispanic White, 7 (22%)
non-Hispanic Other race, and
5 (26%) Hispanic
Kasckow et al., 2015 [76] United States Experimental -Test the hypothesis that
use of the telehealth system
would result in a greater
reduction in both suicidal
ideation and depressive
symptoms on standard-
ized measures following
discharge from an inpatient
service, relative to a group
that received only Usual
Care. -Assess feasibility of
telehealth monitoring for
suicidal behavior in this
population
Veterans with recent
suicidal ideation or a recent
suicide attempt and a
diagnosis of schizophrenia
or schizoaffective disorder
Veterans Affairs in Pitts-
burgh
Out-patient
Nurses
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Table 2 (continued)
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
Kasckow et al., 2016 [120] United States Pilot/Feasibility trial -Test the feasibility of the
telehealth monitoring
intervention for suicidal
behavior in this population
of Veterans with schizo-
phrenia or schizoaffective
dis-order-Assess with a
random assignment trial,
whether augmentation of
intensive care monitoring
(ICM) with our intervention
would result in a significant
reduction in suicidal idea-
tion relative to a group that
received only ICM
Admitted patients with a
diagnosis of schizophrenia/
schizoaffective disorder and
recent suicidal ideation
Inpatient psychiatric unit,
Veterans Affairs
In-patient
Nurses
Kennard et al., 2018 [121] United States Pilot/Feasibility trial -To report on a pilot study
of an inpatient intervention
for suicidal adolescents, As
Safe as Possible [ASAP], sup-
ported by a smartphone
app [BRITE] to reduce post-
discharge suicide attempts
Patients with suicidal idea-
tion, intent and/or a recent
suicide attempt
Psychiatric inpatient units
at two academic medical
centers
In-patient
A total of 5 therapist who
had at least master’s level
training in psychology/coun-
seling or were enrolled in a
clinical psychology doctoral
program
Kleiman et al., 2019 [122] United States Pilot/Feasibility trial -Examine whether par-
ticipants would wear the
monitor the majority of
each day over the course of
multiple days.-Investigate
whether participants would
interact with the monitor
(i.e., use the self-initiated
button press). -Investigate
what participants liked (or
disliked) about wearing the
monitor
Admitted patients with
severe suicidal ideation,
suicide attempt, or non-
suicidal self-injury
Psychiatric inpatient units
at two academic medical
centers in New Jersey
In-patient
Not reported
Kodama et al., 2016 [123] Japan Pilot/Feasibility trial -Identify whether suicide
interventions sent via
mobile phone text messag-
ing technologies is feasible
in changing help-seeking
and self-harming behav-
iours
Patients with a mental dis-
order and suicidal ideation University hospital, a psy-
chiatric hospital in Hyogo
Prefecture, 3 medical center
hospitals in Kobe City, a
private psychiatric hospital,
and 3 psychiatric clinics in
Kobe City
Out-patient
Psychiatrists
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Table 2 (continued)
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
Kolva et al., 2020 [94] United States Observational -Discuss an approach to
preserve patient safety
while optimizing delivery of
an online survey of suicidal-
ity in cancer survivors seek-
ing psychological care
Patients from outpatient
psycho‐oncology compre-
hensive cancer center
Outpatient psycho-oncol-
ogy clinic
Out-patient
Psycho‐oncology provider
Kroll et al., 2020 [95] United States Observational -Determine whether con-
tinuous virtual monitoring,
an intervention that facili-
tates patient observation
through video technology,
can be used to monitor
suicide risk in the general
hospital and ED
Patient who received a
psychiatric consultation
and required suicide
precautions
An academic tertiary adult
hospital (Boston, Massa-
chusetts) with 793 licensed
inpatient beds
Mixture
Nurses and psychiatrists and
psychiatry trainees
Lawrence et al., 2010 [96] United States Observational -Implement routine self-
administered computerized
screening for suicidal idea-
tion linked to automated
activation of a response
team in two high volume,
urban HIV clinics-Identify
factors associated with
self-reported suicidal
ideation as determined by
computerized screening in
a contemporary sample of
HIV-infected individuals
Patients with HIV Two geographically distinct
academic HIV primary care
clinics: University of Ala-
bama at Birmingham HIV/
AIDS Clinic Cohort and the
University of Washington
(UW) Harborview Medical
Center HIV Clinic
Out-patient
4 Licensed mental health
professional and social
worker supervisor and physi-
cian
Levine et al., 1989 [97] United Kingdom Observational -Assess the incidence of
depressive symptoms in
patients admitted following
deliberate self-harm using
a self-rating modification
of Hamilton Rating Scale
for Depression delivered
by delivered by computer-
Compare initial clinical
assessment with outcome
in those patients who went
on to commit suicide
Patients who attempted
suicide District General Hospital
In-patient Psychiatrist
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Table 2 (continued)
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
Ligier et al., 2016 [77]
(Protocol) France Experimental -Determine whether a short
message service in addition
to usual care can be used
to: keep in touch with
adolescent suicide attempt-
ers to reduce the delay
in recurrence of a suicide
attempt, and to improve
the evolution of 1) their
social network, 2) depres-
sion and 3) health-related
quality of life
Patients who attempted
suicide Pediatric and adolescent
psychiatry unit at hospitals
in eastern France: CHU
Besançon, CHU Dijon, CHR
Metz-Thionville, CHU Nancy,
CHU Reims, and CHU
Strasbourg
In-patient
Physicians
Luxton et al., 2012 [124] United States Pilot/Feasibility trial TMF:
Interpersonal Psychological
Theory of Suicide
-Evaluate the program to
determine how to best
tailor the caring letter
intervention to the military
setting-Explore preliminary
group differences related
to psychiatric rehospitaliza-
tions-Compare the use of
handwritten letters versus
e-mail correspondence
-Gather data to inform best
practices that will assist the
development of a multisite
RCT
Retirees, veterans, and
dependent family mem-
bers admitted in in-patient
psychiatric units
Veterans Hospital
Mixture Inpatient psychiatry treat-
ment team consisting of
psychiatric nurse
Luxton et al., 2014 [62]
(Protocol)
Luxton et al., 2020 [78]
United States Experimental -Determine whether the
intervention is efficacious in
preventing suicide behav-
iours among U.S. service
members and veterans
Veterans who are currently
admitted to psychiatric
inpatient units
Inpatient psychiatry units:
Madigan Army Medical
Center, Tripler Army Medical
Center, Landstuhl Regional
Medical Center, Navy
Medical Center San Diego,
Veterans Affairs Palo Alto,
and Veterans Affairs West-
ern New York
In-patient
Not reported
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Page 20 of 60
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Table 2 (continued)
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
Mackie et al., 2017 [102] Canada Qualitative -Inform the production of
a treatment manual for a
larger cluster randomised
trial of a smartphone-
assisted therapy for men
who present to hospital
after intentional self-harm.
-Describe the experience
of receiving and delivering
a novel blended therapy
combining a customised
smartphone application
with problem solving
therapy (PST) for this
population
Patients with self-harm Emergency department in a
major Canadian urban cen-
tre (The Ottawa Hospital)
Out-patient
Psychiatrists, therapists
Madan et al., 2015 [98] United States Observational -Describe integration of
an electronic suicide risk
alert system to improve
assessment of psychiatric,
high-risk patients-Provide
support of using aggregate
data over time to inform
administrative and clinical
decision-making related to
changes in the treatment
delivery system
Patients admitted at
the specialty psychiatric
hospital
Specialty psychiatric
hospital (Menninger Clinic,
Huston Texas): a 120-bed
facility that specializes in
the treatment of individuals
with serious mental illness
In-patient
Nurses
Marasinghe et al., 2012 [79] Sri Lanka Experimental -Test whether a Brief Mobile
Treatment (BMT) interven-
tion can improve outcomes
relative to usual care
among suicide attempters
Admitted patients with
self-harm Colombo South Teaching
Hospital in Kalubowila, Sri
Lanka
In-patient
Not reported
McManama O’Brien et al.,
2017 [125]United States Pilot/Feasibility trial -Test the usability, feasibility,
and acceptability of a web-
based prototype of Crisis
Care with 20 adolescents
with a history of suicidal
thoughts and their 20
parents
Patients from outpatient
psychiatry department Outpatient psychiatry
department at a general
pediatric hospital in North-
east US
Out-patient
Not reported
Melvin et al., 2019 [126] Australia Pilot/Feasibility trial -Examine the feasibility and
effectiveness of a suicide
prevention smartphone
application
Patients from tertiary
mental health service, and
most of them had depres-
sive disorder and suicide
attempt
Tertiary mental health ser-
vice in Melbourne, Australia
Undetermined
Not reported
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Table 2 (continued)
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
Morthorst et al., 2021 [127]
(Protocol) Denmark Pilot/Feasibility trial -Assess the feasibility of
methods, procedures, and
safety of internet-based
Emotion regulation indi-
vidual therapy (ERITA) in a
Danish context
Patients with non-suicidal
self-injury (NSSI) Outpatient clinics in The
Child and Adolescent Men-
tal Health Services in capital
region on Denmark
Out-patient
Psychologists and nurses
with experience within
clinical child and adoles-
cent psychiatry and with
psychotherapy and special
knowledge about NSSI
Mousavi et al., 2014 [80] Iran Experimental -Evaluate the efficacy of tel-
ephone follow up on reduc-
tion of suicidal reattempt
and their relationship with
demographic characteris-
tics of patients
Patients who attempted
suicide Intoxication emergency
services, Noor Hospital,
Isfahan
In-patient
Psychiatry last-year resident
Muscara et al., 2020 [128] Australia Pilot/Feasibility trial -Assess the feasibility and
acceptability of a combina-
tion of smartphone apps
to deliver a digitized safety
plan, BeyondNow, and
personalized management
strategies, BlueIce, with
adolescents discharged
from a mental health
inpatient ward following
self-harm, suicidal ideation
and/or behavior.-Explore
whether any changes in
suicide resilience and self-
harming behaviors were
able to be detected six
weeks following discharge
Admitted patients with
suicide attempt Inpatient mental health
ward (Banksia) at the Royal
Children’s Hospital in Mel-
bourne, Australia
In-patient
Not reported
Nuij et al., 2018 [129]
(Protocol) Netherlands Pilot/Feasibility trial TMF:
Integrated Motivational-
Volitional (IMV) model of
suicidal behaviour
-Evaluate the feasibility
of mobile safety plan-
ning and daily mobile
self-monitoring in routine
care treatment for suicidal
patients, and to conduct
fundamental research on
suicidal processes
Patient with main diag-
nosis of major depressive
disorder or dysthymia and
current suicidal ideation
3 Mental health organiza-
tions
Out-patient
Not reported
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Table 2 (continued)
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
O’Keefe et al., 2019 [81]
(Protocol) United States Experimental Evaluate which brief
interventions, alone or in
combination, have the
greater effect on suicide
ideation (primary outcome)
and resilience (secondary
outcome) among American
Indian youth ages 10–24
ascertained for suicide-
related behaviours by the
tribal surveillance system
American Indian/ Alaska
Indian youth with suicide
ideation, suicide attempt or
binge substance use with
suicide ideation
WMAT suicide surveillance
system (locally known as
“CelebratingLife”), mental
health centres located in
Fort Apache Indian Reserva-
tion in Eastern Arizona
Mixture
Trained Apache Community
mental health specialists
O’Toole et al., 2019 [82] Denmark Experimental -Compare the effect
between treatment as usual
(TAU) with (TAU + APP) and
without (TAU) the assis-
tance of the mobile app
on individuals referred to
outpatient suicide preven-
tion treatment
Patients with suicidal idea-
tion or suicide attempt A specialized outpatient
suicide prevention clinic
located at a psychiatric uni-
versity hospital in Denmark.
The clinic provides psycho-
social therapy for people
at risk of suicide, typically
presenting with adjust-
ment disorders and mild to
moderate depression
Out-patient
Therapists
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Table 2 (continued)
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
O’Connor et al., 2019 [135]
(Protocol) United Kingdom Pilot/Feasibility trial TMF:
Medical Research Council,
Process evaluation frame-
work for analysis
-Determine whether a
safety planning interven-
tion (SPI) with follow-up tel-
ephone support (SAFETEL)
is feasible and acceptable
to patients admitted to UK
hospitals following a suicide
attempt.-Adapt/tailor an
innovative SPI with follow-
up tele-phone support for
use within UK NHS hospital
settings.-Investigate how
participants engage with
the intervention. -Assess
feasibility and accept-
ability of the intervention.-
Investigate trial recruitment,
retention and other trial
processes including data
collection.-Explore the bar-
riers and facilitators to inter-
vention implementation.-
Collect data on readmission
to hospital following
self-harm in the 6 months
following the index suicide
attempt to inform the
sample size required for a
full trial.-Further develop
and test the logic model
and theoretical basis of
the intervention -Assess
whether an effectiveness
trial is warranted
Admitted patients with
suicide attempt 4 National Health Service
hospitals across two health
boards in Scotland
In-patient
The Liaison Psychiatry team
Olsen et al., 2021 [130]
(Protocol) Denmark Pilot/Feasibility trial -Assess the feasibility and
safety of Internet-based
ERITA as an add-on to
treatment as usual in
13–17-year-old patients
with NSSI referred to the
Child and Adolescent Men-
tal Health Service
Patients with non-suicidal
self-injury Child and Adolescent Men-
tal Health Services in capital
Region of Denmark
Out-patient
Therapists
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Table 2 (continued)
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
Owens and Charles, 2016
[131]United Kingdom Pilot/Feasibility trial TMF:
Normalisation Process
Theory
-Test and refine the
intervention in situ, before
proceeding to a full trial
Research question: -Can
TeenTEXT be administered
by CAMHS clinicians within
the context of everyday
clinical practice?
Patients with self-harm Three Child and Adolescent
Mental Health Services
(CAMHS) teams in South
West England
Out-patient
CAMHS Clinicians
Canady 2018 [104] United States Other: Quality improve-
ment -Describe steps in develop-
ing and implementing
this quality improvement
program
Patients in ED and in-
patient units ED and inpatient units,
Dallas-based hospital
Mixture
Nurses
Pickett et al., 2021 [132] United States Pilot/Feasibility trial -Determine the feasibility of
implementing a self-admin-
istered tablet-based suicide
screening questionnaire in
an ED
Patients in a children’s
hospital ED ED from children’s hospital
with an annual census of 70
000 patient visits
Out-patient
Nurses and nursing assistants
Sayal et al., 2019 [133] United Kingdom Pilot/Feasibility trial -Determine the acceptabil-
ity and feasibility of carrying
out an RCT of remotely
delivered (video-calling or
mobile phone) problem-
solving cognitive behaviour
therapy (PSCBT) plus treat-
ment as usual (TAU) versus
TAU in adolescents and
young adults with depres-
sion who self-harm
Patients with self-harm Adult or child and adoles-
cent mental health services
that assess people in emer-
gency rooms or hospital
wards following a self-harm
presentation, adult or child
and adolescent community
mental health services that
see people with depression
and self-harm, a third sector
organization providing
interventions and support
to people who have self-
harmed
Mixture
Cognitive behaviour therapist
Seong et al., 2021 [99] Korea Observational -Investigate the effects
of Mobile Messenger
Counseling on the post-
discharge case manage-
ment results for patients
with suicide attempts or
self-harm
Patients with self-harm or
suicide attempt Regional ED center that
operates through the use
of a dedicated medical
team for patients who have
attempted self-harm or
suicide
Out-patient
Physicians, psychiatrists, and
social workers
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Table 2 (continued)
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
Simon et al., 2016 [63]
(Protocol)
Simon et al., 2022 [83]
United States Experimental -Compare 2 low-intensity
outreach programs with
usual care for prevention
of suicidal behavior among
outpatients who report
recent frequent suicidal
thoughts
Patients from an out-
patient mental health or
general medical visit who
self-harm
3 Mental health outpatient
care in Colorado. These
health systems provide
general medical and mental
health specialty care as well
as insurance coverage to
defined member/patient
populations
Out-patient
Care managers, Skills coach
(Master’s-prepared mental
health professional)
Stallard et al., 2016 [64]
(Protocol)
Stallard et al., 2018 [84]
United Kingdom Experimental -Undertake a preliminary
evaluation of a smartphone
app (BlueIce), co-produced
with young people and
designed to help young
people manage distress
and urges to self-harm.
-Assess the acceptability,
safety, and use of BlueIce
and to explore the effects
on the primary outcome of
self-harm and the second-
ary outcomes of psycho-
logical functioning
Patients with self-harm Specialist child and adoles-
cent mental health services
provided by Oxford Health
NHS Foundation Trust. The
Trust serves a wide geo-
graphical area that includes
Bath and North East Som-
erset, Buckinghamshire,
Oxfordshire, Swindon, and
Wiltshire
Out-patient
A total of 37 clinicians: Child
psychiatrists, clinical psy-
chologists, family therapists,
child psychotherapists,
occupational therapists,
and community psychiatric
nurses
Stevens et al., 2019 [85]
(Protocol) Australia Experimental -Investigate whether
Treatment As Usual (TAU)
aftercare for DSH patients
plus supportive SMS text
messages delivered over
1-year reduce DSH re-
presentations to hospital,
compared to TAU alone
Patients with self-harm Three public hospitals (EDs)
in Western Sydney. Nepean,
Blacktown and West-mead
Hospitals (Australia): Toxicol-
ogy Centers, Psychiatric
Emergency Care Centers,
and Mental Health Triage
and Assessment Centers
Out-patient
Psychiatrists, clinical nurse
consultants, registered
nurses, psychiatry registrars
Vaiva et al., 2006 [87] France Experimental -Determine the effects over
one year of contacting
patients by telephone one
month or three months
after being discharged from
an emergency department
for deliberate self-poisoning
compared with usual treat-
ment
Patients who attempted
suicide 13 EDs from north of France
Out-patient Psychiatrists with at least five
years’ experience in manag-
ing suicidal crises
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Table 2 (continued)
Author, Year Country of origin Study design Research aim/objectives/
questions Patient population Clinical setting and type Clinician characteristics
Vaiva et al., 2011 [65]
(Protocol)
Vaiva et al., 2018 [86]
France Experimental -Assess the effectiveness
of a decision-making algo-
rithm for suicide prevention
(ALGOS) combining existing
Brief Contact Interven-
tions in reducing suicide
reattempts in patients
discharged after a suicide
attempt
Patients who attempted
suicide 23 EDs and psychiatry crisis
centers
Out-patient
Psychologists, ED physician
Wright et al., 2021 [134] United States Pilot/Feasibility trial -Verify methods for assess-
ing adolescents and young
adults who had signs or
symptoms of depression
or suicide ideation and
for training profession-
als to implement mental
health interventions using
telehealth devices
Teenage and young adult
patients prescribed lifelong
home parental nutrition
(HPN) infusions
University of Kansas Medi-
cal Center
Out-patient
A total of 4 profession-
als. They had either PhD
and extensive telehealth
experience. The other
professionals involved were
a master’s prepared pediatric
nurse observer, and home
parental nutrition counsellor,
and a mental health nurse
specialist. The psychologist
and nurse mental health
specialist were experienced
in managing suicide ideation,
and mood disorders, and
discussing sensitive topics
with adolescents
TMF Theory, Model, Framework, ED Emergency department
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Table 3 Characteristics of included ICTs
Target
age
ICT
intervention
References Suicide Prevention Intervention Category MHCC Typology WHO category
Screening
and
Assessment
Safety
Planning
Lethal
Means
Restrictions
and/or
Counselling
Discharge
or Post‑
Discharge
Follow‑Up
Therapy Resources Other Computerized
interventions,
resources, and
applications
Telehealth
and
telemedicine
Wearable
computing
and
monitoring
Virtual
reality
Peer support
through
social media
and other
technologies
Robots Universal Selective Indicated
Total
counts
(n)
66 75 22 20 3 27 4 18 12 55 16 1 2 2 1 4 10 53
Adult Addiction
Comprehen-
sive Health
Enhancement
Support
System
(ACHESS)
Mackie
et al., 2017
[102]
✓ ✓ ✓ ✓ ✓ ✓ ✓
16-25yrs Affinity Bailey et al.,
2020 [67]
✓ ✓ ✓ ✓ ✓
Adult ALGOrithm
for Suicide
prevention
(ALGOS)
Telephone
contact
Vaiva et al.,
2018 [86]
✓ ✓ ✓
Vaiva et al.,
2011[65]
Youth As Safe as Pos-
sible (ASAP)
Kennard
et al.,
2018[121]
✓ ✓ ✓ ✓ ✓
BRITE (SMS) ✓ ✓ ✓ ✓ ✓
Youth Ask Suicide
Screening
Questions
(ASQ) via
tablet
Pickett et al.,
2021[132]
✓ ✓ ✓
Adult BackUp Nuij et al.,
2018[129]
✓ ✓ ✓
mEMA app ✓ ✓ ✓
Youth Be Safe App Gregory
et al., 2017
[93]
✓ ✓ ✓
Adult BEACON
(Smartphone
assisted prob-
lem solving
therapy)
Hatcher
et al., 2020
[74]
✓ ✓ ✓ ✓
Youth BeyondNow
app
Muscara
et al., 2020
[128]
✓ ✓ ✓ ✓
≥ 16yrs Melvin et al.,
2019 [126]
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Table 3 (continued)
Target
age
ICT
intervention
References Suicide Prevention Intervention Category MHCC Typology WHO category
Screening
and
Assessment
Safety
Planning
Lethal
Means
Restrictions
and/or
Counselling
Discharge
or Post‑
Discharge
Follow‑Up
Therapy Resources Other Computerized
interventions,
resources, and
applications
Telehealth
and
telemedicine
Wearable
computing
and
monitoring
Virtual
reality
Peer support
through
social media
and other
technologies
Robots Universal Selective Indicated
Youth BlueIce Stallard
et al., 2018
[84]
✓ ✓ ✓
Stellard
et al., 2016
[64]
Grist et al.,
2018 [101]
Muscara
et al., 2020
[128]
≤ 19yrs Brake of My
Mind (BoMM)
Jeong et al.,
2020 [119]
✓ ✓ ✓
≥ 15yrs Brief Mobile
Treatment
(BMT) (SMS)
Marasinghe
et al., 2012
[79]
✓ ✓ ✓ ✓
Adult Care
management
intervention
Simon et al.,
2016 [63]
✓ ✓ ✓ ✓ ✓
Skills training
intervention
✓ ✓ ✓
Adult Caring con-
tacts via text
message
Comtois
et al., 2019
[71]
✓ ✓ ✓ ✓
Adult Caring letters
(email)
Luxton et al.,
2012 [124]
✓ ✓ ✓ ✓
Luxton et al.,
2014 [62]
Luxton et al.,
2020 [78]
Youth Child Health
Improvement
through
Computer
Automation
(CHICA)
system
Etter et al.,
2018 [90]
✓ ✓ ✓ ✓
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Table 3 (continued)
Target
age
ICT
intervention
References Suicide Prevention Intervention Category MHCC Typology WHO category
Screening
and
Assessment
Safety
Planning
Lethal
Means
Restrictions
and/or
Counselling
Discharge
or Post‑
Discharge
Follow‑Up
Therapy Resources Other Computerized
interventions,
resources, and
applications
Telehealth
and
telemedicine
Wearable
computing
and
monitoring
Virtual
reality
Peer support
through
social media
and other
technologies
Robots Universal Selective Indicated
Adult Computer
interview/
self-rating
modifica-
tion of the
Hamilton Rat-
ing Scale for
Depression
Levine et al.,
1989 [97]
✓ ✓ ✓
Adult Computerized
Self-Reported
patient-
reported
outcome
(PRO) Assess-
ment
Lawrence
et al., 2010
[96]
✓ ✓ ✓
Youth
and
their
parents
Crisis Care
(Web-based)
McManama
O’Brien
et al., 2017
[125]
✓ ✓ ✓ ✓
≥ 16yrs e-DASH
(electronic—
Depression
and Self-
Harm)
Sayal et al.,
2019 [133]
✓ ✓ ✓ ✓
Youth Emotion
regulation
individual
therapy for
adolescents
(ERITA)
Morthorst
et al., 2021
[127]
✓ ✓ ✓ ✓
Youth Empatica E4
(Empatica Srl)
Kleiman
et al., 2019
[122]
✓ ✓ ✓
Adult Enhanced
electronic
suicidality
alert system
Madan et al.,
2015 [98]
✓ ✓ ✓
Youth Internet-
based
Emotion
Regulation
Individual
Therapy for
Adolescent
(ERITA)
Olsen et al.,
2021[130]
✓ ✓ ✓
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Table 3 (continued)
Target
age
ICT
intervention
References Suicide Prevention Intervention Category MHCC Typology WHO category
Screening
and
Assessment
Safety
Planning
Lethal
Means
Restrictions
and/or
Counselling
Discharge
or Post‑
Discharge
Follow‑Up
Therapy Resources Other Computerized
interventions,
resources, and
applications
Telehealth
and
telemedicine
Wearable
computing
and
monitoring
Virtual
reality
Peer support
through
social media
and other
technologies
Robots Universal Selective Indicated
Adult Jaspr Health Dimeff et al.,
2021 [115]
✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
Adult LifeApp’tite
Mobile App
O’Toole
et al., 2019
[82]
✓ ✓ ✓ ✓ ✓ ✓
Adult Lock to Live
(L2L)
Betz et al.,
2020 [106]
✓ ✓ ✓
Youth MEDIACON-
NEX (SMS)
Ligier et al.,
2016 [77]
✓ ✓ ✓
Youth MI-SafeCope Czyz et al.,
2021[113]
✓ ✓ ✓
Post discharge
text-based
support
(Texts)
✓ ✓ ✓
Adult Mobile
Messenger
Counselling
Services
(MMC)
Seong et al.,
2021 [99]
✓ ✓ ✓
Adult Mobile
telephone
message
interventions
Chen et al.,
2010 [111]
✓ ✓ ✓
Adult
and
Youth
MyPlan Andreasson
et al., 2017
[66]
✓ ✓ ✓ ✓
Buus et al.,
2020 [100]
✓
10-24yrs New Hope O’Keefe
et al., 2019
[81]
✓ ✓ ✓
Optimized
Care Manage-
ment
✓ ✓ ✓
Adult Online
assessment of
suicidality in
patients with
cancer
Kolva et al.,
2020 [94]
✓ ✓ ✓
Adult Online dialec-
tical behavior
therapy skills
Simon 2022
[83]
✓ ✓ ✓ ✓ ✓
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Table 3 (continued)
Target
age
ICT
intervention
References Suicide Prevention Intervention Category MHCC Typology WHO category
Screening
and
Assessment
Safety
Planning
Lethal
Means
Restrictions
and/or
Counselling
Discharge
or Post‑
Discharge
Follow‑Up
Therapy Resources Other Computerized
interventions,
resources, and
applications
Telehealth
and
telemedicine
Wearable
computing
and
monitoring
Virtual
reality
Peer support
through
social media
and other
technologies
Robots Universal Selective Indicated
14-25yrs Online tool
for self-
monitoring
of depression
and suicidal
ideation
Hetrick et al.,
2017[117]
✓ ✓ ✓
Adult Post-acute
crisis text
messaging
outreach,
Suicide
intervention
assisted by
messages
(SIAM)
Berrouiguet
and Gravey
et al., 2014
[105]
✓ ✓ ✓ ✓
Berrouiguet
and Alavi
et al., 2014
[61]
HUGOPSYN-
etwork et al.,
2018 [68]
Adult Project Life
Force Safety
Planning
Mobile Apps
Goodman
et al., 2020
[73]
✓ ✓ ✓
Adult SAFETEL O’Connor
2019 [135]
✓ ✓ ✓ ✓ ✓
Adult SafeTy and
Recovery
Therapy
(START)
-Follow up
Telephone
Coaching and
Mobile aug-
mentation
Depp et al.,
2021 [114]
✓ ✓ ✓ ✓ ✓ ✓ ✓
≥ 16yrs SMS Text Mes-
saging- SMS
SOS Study
Stevens
et al., 2019
[85]
✓ ✓ ✓
Not
reported
Stop Depres-
sion platform
Cassola
et al., 2017
[110]
✓ ✓ ✓ ✓
Adult Strength
Within Me
(SWiM)
Bruen et al.,
2020 [108]
✓ ✓ ✓ ✓
Adult Suicide inter-
vention via
home-based
telehealth
Gros et al.,
2011[103]
✓ ✓ ✓ ✓
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Table 3 (continued)
Target
age
ICT
intervention
References Suicide Prevention Intervention Category MHCC Typology WHO category
Screening
and
Assessment
Safety
Planning
Lethal
Means
Restrictions
and/or
Counselling
Discharge
or Post‑
Discharge
Follow‑Up
Therapy Resources Other Computerized
interventions,
resources, and
applications
Telehealth
and
telemedicine
Wearable
computing
and
monitoring
Virtual
reality
Peer support
through
social media
and other
technologies
Robots Universal Selective Indicated
Adult Suicide inter-
ventions sent
via mobile
phone text
messaging
technologies
Kodama
et al., 2016
[123]
✓ ✓ ✓
Youth Suicide risk
detected via
adolescent
depression
screening
Davis et al.,
2021 [89]
✓ ✓ ✓
Youth TeenTEXT Owens et al.,
2016 [131]
✓ ✓ ✓
Youth
and
young
adults
Telehealth dis-
tance health
care
Wright et al.,
2021 [134]
✓ ✓ ✓ ✓
Adult Telehealth
monitoring
system using
Health Buddy
Kasckow
et al., 2015
[76]
✓ ✓ ✓ ✓
Adult Kasckow
et al.,2016
[120]
Adult Telephone
contact
Vaiva et al.,
2006 [87]
✓ ✓ ✓
≥ 15yrs Telephone
follow up
Mousavi
et al., 2014
[80]
✓ ✓ ✓
All ages Telephone
management
programme
Cebrià
2013[70]
✓ ✓ ✓
Youth TextIt Czyz et al.,
2020 [112]
✓ ✓ ✓ ✓ ✓
Adult The Parkland
Health & Hos-
pital System
(PHHS) Uni-
versal Suicide
Screening
Program
Canady
2018 [104]
✓ ✓ ✓
Youth The Safety
Planning
Assistant
Hill et al.,
2020 [118]
✓ ✓ ✓
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Table 3 (continued)
Target
age
ICT
intervention
References Suicide Prevention Intervention Category MHCC Typology WHO category
Screening
and
Assessment
Safety
Planning
Lethal
Means
Restrictions
and/or
Counselling
Discharge
or Post‑
Discharge
Follow‑Up
Therapy Resources Other Computerized
interventions,
resources, and
applications
Telehealth
and
telemedicine
Wearable
computing
and
monitoring
Virtual
reality
Peer support
through
social media
and other
technologies
Robots Universal Selective Indicated
Adult The tailored
Men and
Providers
Prevent-
ing Suicide
(MAPS)
program
Jerant et al.,
2020 [75]
✓ ✓ ✓
Adult True Colours
online
questionnaire
(digital self-
monitoring
component)
Brand et al.,
2021[107]
✓ ✓ ✓
Adult Virtual Col-
laborative
Assessment
and Manage-
ment of Suici-
dality System
(V-CAMS)
Dimeff et al.,
2020 [116]
✓ ✓ ✓ ✓ ✓ ✓
Adult VigilanS
(renamed
after ALGOS)
Duhem
et al., 2018
[72]
✓ ✓ ✓
Fossi
Djembi
et al., 2020
[91]
Fossi et al.,
2021[92]
Adult Virtual Hope
Box (VHB)
Bush et al.,
2015 [109]
✓ ✓ ✓ ✓
Bush et al.,
2017 [69]
✓
Chen et al.,
2018 [88]
Adult Virtual Moni-
toring
Kroll et al.,
2020 [95]
✓ ✓ ✓
Adult: Above 18, Youth: Below 18
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[101] and simulation methods for training [115]. Educa-
tional meetings or communication (e.g., phone, email)
(n = 12) was the next common implementation strategy
which provided clinicians with new information and/or
instructions required for the ICTs [73, 74, 84, 93, 101,
104, 108, 114, 126, 128, 131, 135]. Education or training
were sometimes accompanied by educational materials
(e.g., written handouts or supportive tools like a pocket
guide) (n = 6) [64, 73, 101, 110, 114, 131]. Training and
education were made distinct in this review; training
focused on building practical skills, whereas education
focused on providing new information or knowledge.
Eight studies reported collaborative initiatives with clini-
cians, Information Technology (IT) consultants, ministry,
institutions and/or managers [74, 91, 94, 95, 114, 123,
124, 128]. For example, collaboratives initiatives involved
nominating site staff as co-principal investigators [74],
or consulting key stakeholders before the start of the
study [123]. Six reported providing ongoing supervision
for using the ICT [63, 67, 71, 72, 104, 127], of which one
study specifically conducted audits and provided daily
reports to unit managers and nursing leaders [104]. ree
studies provided opportunities for clinicians to partici-
pate in discussion for improvement in the implementa-
tion of the ICT, contributing to iterative changes in the
implementation process during the study [67, 95, 114].
Two studies reported tailored approaches to implemen-
tation; one created a new clinical workflow to ensure that
the implementation was seamless and minimized inter-
ruptions by leveraging existing staff roles and processes
as much as possible [132], and the other provided site-
specific training [62]. Lastly, one study provided onsite
technical IT support [104].
What are thereportedbarriers andfacilitators
toimplementing these ICT‑based interventions?
Overall, there was a general lack of reporting on barri-
ers and facilitators to implementation. Nineteen studies
reported several barriers and/or facilitators with a vary-
ing level of detail. Barriers and facilitators that were most
frequently reported by identified studies were associ-
ated with physical (n = 12) or social (n = 10) opportunity
within the COM-B/TDF. TDF domains for physical (i.e.,
external) opportunities include environmental context
and resources, whereas social opportunities include the
social influences, such as norms and cultural factors
[51]. Internet instability [134], limited telephone lines
[103], lack of patients’ access to smart devices [107],
time limited nature of clinical settings [76, 82, 102, 131],
and no access to research teams to troubleshoot techno-
logical issues [108] were physical barriers described in
the included studies. Other physical barriers included
administrative challenges such as hospital policy that did
not allow patients to use smartphones in the in-patient
settings [93]. erefore, even if patients had their own
devices, hospital policy or the discharge norms limited
patients’ access and did not allow enough opportunity
for clinicians to deliver the ICTs until the moment of dis-
charge. is not only speaks to physical barriers (i.e., hos-
pital policy), but also reflects social barriers of limiting
ICT related interactions with patients [93]. Other barri-
ers to implementing ICTs related to social opportunity
included lack of engagement with clinicians in the study
and lack of buy-in and support from the clinicians [128,
131, 132]. Some of the facilitators were the direct oppo-
site of barriers. In contrast to lack of engagement with
clinicians, positive working collaborations between clini-
cians and the research team facilitated the implementa-
tion process [62, 104, 108, 131]. For example, one study
had a hospital staff member in the role of principal inves-
tigator at each study site [62]. Furthermore, leadership
engagement, such as manager approvals for implementa-
tion, facilitated ICT implementation, and some managers
insisted on circulating implementation information to
clinicians via e-mail [131].
Reflective (n = 14) and automatic (n = 3) motivations
were the next commonly coded barriers and facilita-
tors in this review. Motivation encompasses all brain
processes that direct behaviour [49]. is includes not
just reflective motivation, such as goals, analytical and
conscious decision-making that leads to behaviour, but
it also includes autonomic motivation like habits and
emotional responses [49]. Reflective motivation includes
TDF domains of professional roles and identities, beliefs
about consequences, beliefs about capabilities, optimism,
intentions and goals [51]. Defining roles and responsibil-
ity attributes [108], perceived burdens, and uncertain-
ties associated with ICTs [76, 82, 131] were examples of
barriers noted among the reflective motivation category.
For example, clinicians were worried about ICT devices
being stolen or broken [108] and perceived that that the
ICT may have a better fit in other, non-clinical settings
such as schools [131]. Clinicians also did not appreciate
the perceived burdens of implementing ICTs because
introducing new ICTs possibly created new tasks, tak-
ing extra time in their usual clinical flow [76, 82]. When
clinical settings included multi-disciplinary teams, cli-
nicians were concerned about who should be responsi-
ble for the ICT, but identifying appropriate professional
roles and having designated staff for the new ICT were
reported facilitators [78, 104, 108]. For example, one
study implemented caring emails as post-discharge fol-
low-up care for suicide prevention and reported that the
new task associated with this ICT could be reasonably
done by existing hospital staff rather than hiring new staff
[78]. Additionally, they reported minimal requirements
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Shinetal. BMC Health Services Research (2023) 23:281
for clinicians to manage the new ICT, which facilitated
implementation [78]. In contrast to uncertainties around
ICTs, perceived benefits and usefulness of ICTs were
facilitators [102, 109]. Automatic motivation refers to the
TDF domain of emotion [51]. Negative (“technophobia”)
or positive outlook about the ICTs [102, 116, 131] were
identified as barriers or facilitators.
Implementation barriers and facilitators related to psy-
chological (n = 14) capabilities were the least frequently
coded category. Psychological capabilities include one’s
knowledge, memory, and ability to make decisions and
regulate behaviours [54]. Identified papers reported bar-
riers and facilitators related to the knowledge and skills
about ICTs, awareness of necessary resources, and cli-
nicians’ cognitive load. For example, having no manual
or guidelines to instruct clinicians on how ICTs should
be introduced to patients and used for suicide preven-
tion treatment was a barrier [82, 107]. In contrast, train-
ing resources and education sessions were facilitators
that helped to build clinicians’ psychological capabili-
ties [104, 109, 116, 134]. Additionally, a few ICTs helped
to decrease clinicians’ cognitive burden [116, 131]. A
summary of the COM-B/TDF analysis can be found in
Table4, and a full breakdown of extracted and analysed
data can be found in Additional file4.
What are thereported measures andoutcomes ofthese
ICT‑based interventions?
As shown in Fig.2, studies reported PRO (n = 55), PRE
outcomes (n = 31), and patient health outcomes (e.g.,
mortality) (n = 10). Examples of PRO included assess-
ing patients’ suicide ideation, suicide risk, coping ability,
depressive symptoms, and health-related quality of life
using validated tools such as Beck Scale for Suicide Idea-
tion, Patient Health Questionnaires, Columbia Suicide
Severity Rating Scale, and Beck Depression Inventory.
Examples of PRE outcomes included assessing overall
experiences and perceptions of ICTs, patient satisfaction,
engagement with ICTs using open-ended survey ques-
tions, Likert-scale surveys, written feedback, or inter-
views. Patient health outcomes such as mortality and
adverse events often came from health administrative
data, electronic health records, or insurance claim data.
At health care provider-level outcomes, studies reported
clinician experiences (n = 7), clinicians’ instrumental
knowledge use (n = 4), such as number of documented
referrals, and conceptual knowledge use (n = 1), such as
professional knowledge about suicide. irteen studies
reported health system-level outcomes such as readmis-
sion rates and medical costs. Additionally, eight studies
specified usage data as an outcome of interest.
Following Proctor’s definitions for implementation
outcomes [56], studies reported feasibility (n = 20),
acceptability (n = 14), fidelity (n = 10), and penetra-
tion (n = 1) of the ICTs. Feasibility outcomes included
perceived compatibility of ICTs in the clinical set-
tings or practicality of ICTs assessed by surveys, open-
ended questionnaires, interviews or measuring the time
required to complete the ICT-related module. Accept-
ability of ICTs was evaluated by user experience, per-
ception, agreeableness, or satisfaction using surveys,
open-ended questionnaires, or interviews. Fidelity
outcomes included the completion of follow-ups and/
or adherence to treatments using chart reviews or self-
reported data. Penetration was measured by the propor-
tion of people who attempted suicide and were enrolled
in an ICT-based intervention (i.e., VigilanS) relative
to all included samples of people who attempted sui-
cide regardless of their enrollment. None of the studies
reported adoption, appropriateness, implementation
cost, or sustainability outcomes of implementation. See
Table5 for summaries of the outcomes of interest, out-
come measures, measurement tools, and key results of
the 70 included studies.
Discussion
Summary ofevidence
is scoping review describes characteristics of ICT-
based interventions for suicide prevention implemented
in clinical settings. In this review, we identified 75
papers that described 70 studies and 66 ICTs. Overall,
the review findings provide detailed characteristics of
the existing ICTs for suicide prevention implemented in
clinical settings. We also identified common strategies
for implementing these ICTs, related barriers and facili-
tators, as well as reported measures and outcomes of the
included ICTs. e findings offer insights into how to
better support the implementation of ICTs and highlight
the important role of collaborative initiatives in providing
both technical and social support to facilitate implemen-
tation of ICTs in clinical settings.
Characteristics ofincluded studies
Most of the included studies were experimental designs
and feasibility trials, and there were 18 protocols, indicat-
ing that many studies are currently underway. Despite the
growing evidence in this field, we found a lack of qualita-
tive evidence. is is a gap in the current literature, and
future research should consider qualitative study designs
to evaluate implementation and/or impact of ICT-based
interventions for suicide prevention on patients, health
care providers, and health systems. is is because clini-
cal practice within hospitals is an example of a complex
adaptive system [26, 27]. Evaluating and understanding
implementation of ICTs in complex systems will benefit
from using qualitative or mixed-methods designs because
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Table 4 Barriers and facilitators to implementing ICTs
COM‑B TDF Domains Denitions Frequency
of
occurrence
Examples of barriers and facilitators
Capability Knowledge An awareness of the existence of something 7 • Educating staff about the reasons for universal screening
prior to implementation (Facilitator)
• No manual or guidelines as to how the mobile app should
be introduced and used throughout treatment (Barrier)
Skills An ability or proficiency acquired through practice 5 • No access to appropriate training to ensure that nurses feel
able to use innovative technology (Barrier)
• Training health care professionals for assessing and caring
for patients from a distance using mobile telehealth iPad
interactions (Facilitator)
Memory, attention and decision processes The ability to retain information, focus selectively on
aspects of the environment and choose between two or
more alternatives
2 • Clinical decision support tool to provide a definitive
recommendation about whether to hospitalize or release a
patient, decreasing cognitive burden (Facilitators)
Motivation Social/professional role and identity A coherent set of behaviours and displayed personal
qualities of an individual in a social or work setting 6 • Concerned for who [which clinician] would be responsible
for monitoring the devices (Barrier)
• Task can be reasonably done by existing hospital staff and
the minimal requirement to manage replies from partici-
pants who were in crisis (Facilitator)
Optimism The confidence that things will happen for the best or that
desired goals will be attained 2 • Clinicians and managers agreed that the new ICT made
sense and was immediately appealing (Facilitator)
Beliefs about Consequences Acceptance of the truth, reality, or validity about out-
comes of a behaviour in a given situation 5 • Uncertainty about how well the mobile app was incorpo-
rated in the face-to-face treatment, and whether this led to
a positive or negative effect (Barrier)
• Concerns about giving service users iPhones and Fitbits for
the duration of the study, suggesting that the equipment
would either be stolen or damaged (Barrier)
• Perceived value or benefit of the tool to help patients
(Facilitator)
Goals Mental representations of outcomes or end states that an
individual wants to achieve 1 • Perception that the intervention may have better fit with
schools and universal youth services (Barrier)
Emotion A complex reaction pattern, involving experiential, behav-
ioural, and physiological elements, by which the individual
attempts to deal with a personally significant matter or
event
3 • Perceived burdensomeness and technophobia (Barrier)
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Table 4 (continued)
COM‑B TDF Domains Denitions Frequency
of
occurrence
Examples of barriers and facilitators
Opportunity Environmental context and resources (Physical) Any circumstance of a person’s situation or environment
that discourages or encourages the development of skills
and abilities, independence, social competence and adap-
tive behaviour
12 • Occasional dropped or slow connections, pixel blurring,
and the need for online security (Barrier)
• Taking extra time away from the usual therapy (Barrier)
• Using the smartphone application was more time consum-
ing (Barrier)
• No access to the research team available in participating
wards to troubleshoot technological issues in a timely man-
ner (Barrier)
• Patients’ lack of access to the technology (e.g., smart
phones) (Barrier)
• Inexpensive ICT (Facilitator)
Social influences Those interpersonal processes that can cause individuals
to change their thoughts, feelings, or behaviours 10 • Having a hospital staff member in the role of principal
investigator at each site (Facilitator)
• Positive working collaborations between clinicians and the
research team, including data scientists and technicians, to
ensure a continuous flow of data (Facilitator)
• Waiting to download the app until the moment of
discharge limits the opportunity for staff to facilitate the
adoption of a smartphone app (Barrier)
• Limited buy-in at management levels (Barrier)
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quantitative methods alone cannot capture the complex-
ity inherent within the phenomenon nor can it unpack
interplay of contextual characteristics that influence
implementation and impact of ICTs. Efforts are needed
to move beyond traditional effectiveness trials and bet-
ter understand how and why innovations bring change
in what context [136]. Qualitative research designs can
facilitate benefits of unpacking contextual factors (e.g.,
barriers and facilitators) at multiple levels (e.g., individ-
ual, system) and answering complex questions [137] that
are integral to moving ICTs forward. Moreover, qualita-
tive methods alone or in mixed-methods designs can
confirm, complement, or extend quantitative evaluation
of effectiveness, providing explanatory knowledge [138].
Based on the paucity of TMFs identified in the include
studies, future research should consider using TMFs to
guide their study. Despite the clinical potential of using
mental health apps, integrating these apps into routine
practice is limited, partly attributable to a lack of theo-
retical foundations and rigour in research for implemen-
tation [23]. Future research can benefit from leveraging
TMFs and qualitative and/or mixed methods designs
to unpack the complexity and contribute to building a
rich evidence base. Benefits of using established TMFs
in research have been well documented. For example,
TMFs can help researchers consider comprehensive list
implementation outcomes [139–141]. Furthermore,
TMFs can help researchers consider a complete list of
determinants for implementation during the planning
phase to maximize implementation success [139–141].
Implementation is a known determinant of interven-
tion effectiveness [56], and as we continue to face chal-
lenges in moving ICTs beyond pilot trials, it is necessary
to leverage TMFs to guide careful and purposeful imple-
mentation that accounts for the complex contexts in
which ICTs are implemented [22]. is will ensure that
implementation strategies are systematically selected to
address barriers in the local context. However, it is dif-
ficult to know whether authors of the included studies in
this review did not use TMFs or did not report TMFs. If
it is a reporting issue, then researchers need to improve
reporting on TMFs so we can learn how TMFs have been
applied, build knowledge base, and modify TMFs as
necessary.
Implementation ofICTs inclinical settings
irty-one studies reported implementation strategies
and 19 studies reported barriers and facilitator. Despite
the general lack of reporting details, useful insights about
implementation supports can be drawn. Of the reported
studies, education and training were the most commonly
reported implementation strategies for the ICTs. is is
Fig. 2 Reported outcome types
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Table 5 Summary of the outcomes, measures, and key results
Author, Year Outcomes of interest Outcome measures and measurement tools Key results
Andreasson et al., 2017 [66] Suicide ideation, hopelessness, depressive
symptoms, and app/user satisfaction • Beck Suicide Ideation Scale
• Beck hopelessness scale
• Major depression inventory
• Client satisfaction questionnaire
Not Applicable—protocol
Bailey et al., 2020 [67] Suicidal ideation, depression, perceived burden-
someness and thwarted belongingness, social
connectedness, mindfulness, self-compassion,
problem-solving, suicide attempts, self-harm,
feasibility, and acceptability
• Adult Suicidal Ideation Questionnaire
• Patient Health Questionnaire—9
• 15-item version of the interpersonal needs
questionnaire
• Social connectedness scale—revised
• Mindful attention awareness scale
• Self-compassion scale – short form
• Negative problem orientation questionnaire
• Columbia Suicide Severity Rating Scale
• Deliberate self-harm inventory
• Usage data and activity data
Overall, more than half of the participants logged
in at least once per week satisfying this criterion
related to acceptability. There was also signifi-
cant variability in Café activity (including posts,
replies, and likes/reactions), steps and actions
completed, and amount of user-initiated contact
with moderators
Berrouiguet and Alavi et al., 2014 [61] (protocol)
HUGOPSY Network et al., 2018 [68]Suicide reattempt, suicide deaths, suicide idea-
tion, medical costs, and satisfaction • Columbia Suicide Severity Rating Scale
• Medico-economic questionnaire
Satisfaction questionnaire
• Mini-international neuropsychiatric interview
• Narrative description of circumstances associ-
ated with their participant-initiated contact
In each case, the contact has been initiated by
the study participant immediately after receiving
a message (Case 3) or a few days later (Case 1
and 2). These cases highlight the potential for
connecting individuals to crisis services after an
SA using automated text messages. This text
message-based brief contact intervention has
demonstrated the potential to reconnect suicidal
individuals with crisis support services while they
are experiencing suicidal ideation as well as in a
period after receiving messages
Berrouiguet and Gravey et al., 2014 [105] Feasibility, acceptability • Text messages status reports and the transmis-
sion rates issued by the web server engine
• Standardized phone interview and question-
naire
Receiving text messages sent from an intranet
program after a suicide attempt is technically
possible. This post-crisis outreach program was
accepted by the patients who found it to have a
positive preventive impact
Betz et al., 2020 [106] Feasibility, acceptability, suicide severity • Minutes for the patient to complete L2L and
the completion rate
• Ottawa acceptability scale
• Decisional conflict scale
• Columbia Suicide Severity Rating Scale
The L2L decision aid appears feasible and accept-
able for use among adults with suicide risk and
may be a useful adjunct to lethal means coun-
seling and other suicide prevention interventions
Brand and Hawton 2021 [107] Patients’ and nurses’ experiences • Questionnaire (Likert-scale questions, binary
questions, and open-ended questions) All the participants who attended more than two
sessions (n = 8) found the weekly True Colours
questionnaires easy to use. Four of the five nurses
who participated in the evaluation stated that
they found it easy to recruit patients and explain
the benefits of True Colours to them. The remain-
ing nurse found registering a patient onto the
True Colours system challenging. All the nurses
who used True Colours found it useful
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Table 5 (continued)
Author, Year Outcomes of interest Outcome measures and measurement tools Key results
Bruen et al., 2020 [108] Acceptability, engagement • Fitbit data
• Brief informal exit interview A total of 61 safety plans were completed, with
an average of 2.5 plans per person. SWiM App
was helpful: The ability to write-out thoughts
suited those people who might otherwise have
had to struggle to voice these verbally. Most par-
ticipants provided positive responses about using
Fitbit, which included increased self-awareness of
levels of physical activity, goal setting, and peer
motivation
Bush et al., 2015 [109] Patients’ and clinicians’ experiences • Semi structured interview
• Self-report questionnaires (e.g., Likert-type
rating scale)
• Electronic usage log
High-risk patients and their clinicians used the
VHB more regularly and found the VHB beneficial,
useful, easy to set up, and said they were likely to
use the VHB in the future and recommend the
VHB to peers
Bush et al., 2017 [69] Coping, suicide ideation, reasons for living • Coping self-efficacy scale
• Beck Scale for Suicidal Ideation
• Brief reasons for living inventory
VHB users reported significantly greater ability to
cope with unpleasant emotions and thoughts at
three and 12 weeks compared with the control
group. No significant advantage was found on
other outcome measures for treatment aug-
mented by the VHB
Buus et al., 2020 [100] Patients’ experience • Focus group Users found that the MYPLAN app was helpful for
learning to recognize early signs of an impending
crisis, and for coping by actively finding per-
sonalized problem-solving strategies. This study
indicates that there were huge variations in users’
engagement and use of MYPLAN
Cassola et al., 2017 [110]
(Protocol with preliminary results) Satisfaction and usability • System usability scale questionnaire System usability surveys reveal that users were
pleased with the use of the system during the
Stop Depression clinical trials. Qualified users
considered the platform to be straightforward
and with a low learning curve, having felt confi-
dent while using it. Moreover, an extremely high
percentage of users claimed that they would use
the system frequently
Cebrià et al., 2013 [70] Suicide attempt and reattempt • Telephone survey The results obtained suggest that the applica-
tion of a telephone management programme to
patients discharged from an emergency room
for suicide attempts significantly delays further
attempts and decreases the rates of reattempts in
the context of a general reduction
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Table 5 (continued)
Author, Year Outcomes of interest Outcome measures and measurement tools Key results
Chen et al., 2010 [111] Patient experience, suicide attempt • Interview Mobile telephone text message interventions
could be a feasible and acceptable follow-up
method with suicide attempters. All suicide
attempters in our sample who were seen in
emergency departments have access to a mobile
telephone, and there is no charge for the user to
receive text messages. After four message con-
tacts, most of them thought it was acceptable
and said they would like to receive the messages
for a longer time
Chen et al., 2018 [88] Suicide ideation, coping, app usage • App usage logs
• Beck Scale for Suicidal Ideation
• Coping self-efficacy scale
Older age was correlated with higher levels of
usage. Participants who had 2 years or more of
college had lower levels of VHB usage. The find-
ings suggested a potential association between
usage and efficacy for stopping negative
thoughts. Usage was associated with increased
efficacy for stopping negative thoughts, though
this relationship was attenuated among partici-
pants with high levels of usage
Comtois et al., 2019 [71] Suicide ideation, suicide attempt, ED visit • Suicide status interview
• Treatment history interview
• Suicide attempt self-injury count
• Hurdle model
There was no significant effect on the likelihood
or severity of current suicidal ideation or likeli-
hood of a suicide risk incident; there was also no
effect on emergency department visits. However,
participants who received Caring Contacts had
lower odds than those receiving standard care
alone of experiencing any suicidal ideation
between baseline and follow-up and fewer had
attempted suicide since baseline in the group
receiving Caring Contacts vs the standard-care
group
Czyz et al., 2020 [112] Hopelessness, positive and negative affect,
patient perceptions and experiences with
messages
• Daily survey
• 10-item positive and negative affect
• Schedule for children
• Open ended feedback
Quantitative and qualitative feedback across the
2 study phases pointed to the acceptability of
text-based support
Czyz et al., 2021 [113] Suicide ideation, self-efficacy, coping, suicide
attempt, suicide injury, safety plan use • Efficacy to cope with suicidal
parental self-efficacy scale thoughts and urges
scale
• Columbia Suicide Severity Rating Scale
• Self-assessed expectations of suicide risk scale
• Non-suicidal self-injury portion of the self-
injurious thoughts and behaviors interview
The results from this pilot study suggest that
study procedures for optimizing interventions for
adolescents at elevated suicide risk were feasible
and acceptable. Moreover, results indicate that
specific intervention components and sequences
influenced key mechanisms of change and have
potential to reduce risk of suicidal behavior
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Table 5 (continued)
Author, Year Outcomes of interest Outcome measures and measurement tools Key results
Davis et al., 2021[89] Suicide risk, fidelity of screening process • Patient Health Questionnaire (PHQ) – modified
for teens
• Columbia diagnostic interview
• Schedule for children-depression scale
• Manual chart review
The study results indicated the high degree of
fidelity to the follow-up suicide risk questions.
Follow-up: suicide-specific follow-up actions
were relatively sparse in the year following PHQ-
9-M screening per a retrospective manual chart
review
Depp et al., 2021[114] Suicide ideation, suicide behaviour, satisfaction,
service utilization, acceptability, adherence, and
fidelity
• Scale for suicide ideation or Columbia Suicide
Severity Rating Scale
• Outpatient follow-up interval
• Composite suicide-related crises
• Ecological Momentary Assessment adherence
or outcomes
• Tablet routines questionnaire
• Brief psychiatric rating scale
• Treatment rationale scale
• Timeline follow back scale
• Intervention satisfaction questionnaire
Not Applicable—protocol
Dimeff et al., 2020 [116] Feasibility • Semi structured interview
• Usability satisfaction and acceptability ques-
tionnaire ratings
• Open ended qualitative data from Dr. Dave
(Artificial Intelligence avatar)
Technology tools including a patient-facing ava-
tar and e-caring contacts, along with provider-
facing tools may offer a powerful method of
facilitating best-practice suicide prevention
interventions and point-of-care tools for suicidal
patients seeking ED services and their medical
provider
Dimeff et al., 2021 [115] Coping, patient experience, adverse events,
acceptability, feasibility • Safety and imminent distress questionnaire
• Suicide-related coping scale
• Jaspr health patient satisfaction questionnaire
• Brief semi structured interview
Of 14 Jaspr Health patients, all completed a
comprehensive suicide assessment and created
a crisis stabilization plan, and 12 (85%) patients
engaged in lethal means counseling. Jaspr Health
participants also opted to learn 3 behavioral skills
and gave Jaspr Health high satisfaction ratings. In
addition, no adverse events occurred during its
use. Jaspr Health appeared clinically effective
Duhem et al., 2018 [72] Professional knowledge about suicide, suicide
attempt, health care pathway, acceptability,
fidelity
• Regional suicide mortality data
• Penetrance rate
• Quantitative appraisal (digital survey)
• Qualitative appraisal (semi structured inter-
views)
• Two-step medico economic assessment of the
programme
• Crisis card measures
Not Applicable—protocol
Etter et al., 2018 [90] Provider follow-up action, suicide risk, depres-
sion, substance use • A single question based on American Acad-
emy of Pediatrics
• Patient Health Questionnaire—2
• Chart abstraction (provider worksheet)
Incorporating adolescent suicide screening and
provider follow-up guidance into an existing
computer decision support system in primary
care is feasible and well utilized by providers
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Table 5 (continued)
Author, Year Outcomes of interest Outcome measures and measurement tools Key results
Fossi Djembi et al., 2020 [91] Suicide attempt, penetration of VigilianS • VigilanS database
• Health administrative data Twenty-one centers were running VigilanS in
2018, with an average penetrance of 32%. A
significant relationship was identified, showing a
sharp decrease in suicide attempt as a function
of penetrance
Fossi et al., 2021 [92] Suicide reattempt • Second entry in VigilanS Findings suggests the effectiveness of VigilanS on
suicide reattempt, from the first entry into Vigi-
lanS. Maintaining contact is of great importance
for the patient’s future
Goodman et al., 2020 [73] Suicide behaviour, depression, hopelessness,
coping and treatment utilization • Medical record abstraction
• Brief safety plan scoring form
• Columbia Suicide Severity Rating Scale
Not Applicable—protocol
Gregory et al., 2017 [93] Smartphone ownership, app usage, admission
to hospital • Questionnaires/surveys Of the 76 patients, 50 reported that they owned
a smart phone. Of the 26 who reported they did
not own a smartphone, five patients reported
that they still intended to download the Be Safe
app later. Of the 50 patients who owned a smart-
phone, nine downloaded the Be Safe app in hos-
pital. Of the 41 smartphone owners who did not
download in hospital, 34 stated they intended
to download the app later, and four additional
patients stated they would “maybe” download
the app later. Fifty-one out of 74 patients were on
their first admission to hospital
Grist et al., 2018 [101] Usability, acceptability, safety • Interview 6 key themes emerged: (1) appraisal of BlueIce,(2)
usability of BlueIce, (3) safety (4) benefits of
BlueIce, (5)agency and control, and (6) BlueIce
less helpful. Overall, BlueIce was deemed to be
helpful, easy to use, and safe
Gros et al., 2011 [103] Efficacy and symptoms • Beck’s depression inventory -2
• Beck anxiety inventory
• Post-traumatic stress disorder (PTSD) checklist
– military version
The preliminary findings in the present case
support the use of telehealth in the identification
and intervention of suicidality at home
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Table 5 (continued)
Author, Year Outcomes of interest Outcome measures and measurement tools Key results
Hatcher et al., 2020 [74] Suicide ideation, depression, anxiety, PTSD
symptoms, meaning in life, social support,
quality of life, substance use, health service use,
app usage
• Beck Scale for Suicide Ideation
• Patient Health Questionnaire
• Generalized anxiety disorder 7-item scale
• Post-traumatic stress disorder (PTSD) screen
• EuroQol 5-Dimension 5-level questionnaire
• Experienced meaning in life scale
• Multidimensional scale of perceived social
support
• Alcohol use disorders identification test
• Drug abuse screening test
• Administrative health data
• Smartphone application usage data
• Interviews
Not Applicable—protocol
Hetrick et al., 2017 [117] Feasibility, acceptability, perceived usefulness,
depression • Questionnaire about acceptability and useful-
ness including open-end-ed questions
• Suicidal Ideation Questionnaire – junior
• Patient Health Questionaries—9
The e tool was feasible to implement. Young peo-
ple and clinicians found the tool acceptable and
useful for understanding symptoms and risk
Hill et al., 2020 [118] Depression, suicide ideation, satisfaction,
patient experience, acceptability, feasibility • Time required to complete the module
• Safety plan completion
• Feedback form (open-ended questions)
satisfaction
• Short mood and feelings questionnaire
• Suicide ideation questionnaire- junior
Adolescents’ reported satisfaction with the
intervention was high at both post-treatment
and follow-up. At the follow-up assessment, 11
of the 15 adolescents reported using their safety
plan, of whom 8 (72.7%) found their safety plan
to be helpful and 7 (63.6%) reported that their
safety plan prevented them from making a sui-
cide attempt. The average time to complete the
adolescent safety plan module was 48.13 min.
Data support the preliminary feasibility of admin-
istering safety planning using the web-based
tool and the acceptability of the Safety Planning
Assistant
Jeong et al., 2020 [119] Attitudes, behaviour control, suicide attempts,
user experience • System usability scale
questionnaire Study 1: Results indicated no usability problems
or minimal usability problems with a low priority
for revision, and the level of usability of BoMM is
acceptable. Study 2: In all participants, attitude
toward suicide attempts declined at each of the
three time points
Jerant et al., 2020 [75] Whether the topic of suicide was discussed dur-
ing the visit, suicidal thought, suicide risk • Beck Scale for Suicide Ideation
• Patient Health Questionnaire
• Primary care PTSD screen
• Alcohol use disorder identification test
Any suicide discussion was more likely among
the tailored Men and Providers Preventing
Suicide (MAPS) patients than controls. In the
examination of moderation of the intervention
effect by the presence or absence of any suicide
preparatory behaviors, the interaction effect was
not statistically significant
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Table 5 (continued)
Author, Year Outcomes of interest Outcome measures and measurement tools Key results
Kasckow et al., 2015 [76] Suicide ideation, depression, feasibility • Suicide severity interview
• Beck Scale for Suicide Ideation
• Calgary depression rating scale
• Percentage of days active participants down-
loaded responses to the questions
Daily adherence in the use of the Health Buddy
(HB) system during months 1–3 was, respectively,
86.9%, 86.3%, and 84.1%. There were significant
improvements in Beck Scale for Suicide Ideation
scores in HB participants. There were no changes
in depressive symptoms. Telehealth monitoring
for this population of patients appears to be
feasible
Kasckow et al.,2016 [120] Suicide ideation, depression, user experience,
feasibility, adherence • Beck Scale for Suicidal Ideation (BSSI)
• Calgary depression rating scale
• Number of participants accessed the system
• Open-ended surveys
Our pilot findings suggest that the use of our
telehealth monitoring system is feasible in
monitoring post-discharge suicide risk in this
population. Monthly adherence for telehealth
participants was > 80%. A qualitative analysis of
endpoint surveys revealed that most participants
had positive responses. In both groups, there
were improvements in BSSI scores at endpoint
relative to baseline
Kennard et al., 2018 [121] Suicide ideation, suicide behaviour, treatment
utilization, satisfaction • Columbia Suicide Severity Rating Scale
• Suicidal Ideation Questionnaire–junior
• Child and adolescent services assessment
• Post-study satisfaction and usability question-
naire
• Client satisfaction questionnaire-8
Results show acceptability and feasibility of the
As Safe as Possible (ASAP) intervention and sup-
porting BRITE app. The RCT was not large enough
to detect even substantial clinical effects, but
the rates of suicide attempt in those assigned to
ASAP/BRITE were half of those in TAU, indicating
that this intervention is promising and may have
utility in the reduction of post-discharge suicide
attempts in hospitalized, suicidal adolescents
Kleiman et al., 2019 [122] Feasibility, acceptability, user experience • Survey
• Wearable computer comfort rating scale
• Usage data
• 4 open-ended qualitative question
Results supported the feasibility and acceptability
of this approach. Participants wore the monitor
for an average of 18 h a day and reported that
despite sometimes finding the monitor uncom-
fortable, they did not mind wearing it
Kodama et al., 2016 [123] Suicide ideation, social/personnel resources • Questionnaires (multiple choice questions and
Likert scale)
outcome data were obtained from participants’
physicians
At the 3- and 6-month time points of the
intervention, more than 85% of participants
reported that the text messages were helpful
or a little helpful. Participants who had com-
mitted self-harm during the previous 6 months
at baseline accounted for 27.6% of the sample
(n = 8), whereas the proportion at 6 months
significantly decreased. Further, the intensity of
suicidal ideation was significantly reduced after
the intervention period
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Table 5 (continued)
Author, Year Outcomes of interest Outcome measures and measurement tools Key results
Kolva et al., 2020 [94] Suicide ideation, suicide attempt • Patient Health Questionnaire (PHQ)
• Suicidal behaviors questionnaire—revised
(SBQ-R)
Online assessment of suicidality in this sample
of adults with heterogeneous cancer diagnoses
receiving outpatient psycho‐oncology care was
feasible and ethically sound. Active suicidal idea-
tion as identified by the PHQ‐9 was rare, almost
all participants denied thoughts that they would
be better off dead or active thoughts of self‐
harm. Few participants reported having these
thoughts for several days or more than half of the
days. In contrast, on the SBQ‐R, 28 participants
reported thoughts of killing oneself ranging from
rarely to very often (n = 1, 1.1%) in the previous
year
Kroll et al., 2020 [95] Adverse events and nurse preference for
observation • Software running the monitoring technician’s
interface with the mobile units automatically
logged the information
• Free text entered by monitoring technician
(MT)
• Nursing preference survey
Average daily census for the MTs during the pilot
phase was 6.2 patients. The maximum number
of patients receiving virtual monitoring for an
indication of suicide precautions at a single time
was 3. There were no adverse behavioural events.
Nurses who did and did not care for patients on
virtual monitoring both gave moderately high
favourability ratings, and no significant differ-
ences in favourability of virtual monitoring or 1:1
between nurses who did and did not care for
patients
Lawrence et al., 2010 [96] Suicide ideation • Patient Health Questionnaire—9
• Alcohol Use Disorders Identification Test-
Concise
• Alcohol, Smoking and Substance Involvement
Screening Test (ASSIST)
The odds of reporting suicidality were increased
with more severe depression and current
substance abuse, while advancing age was asso-
ciated with lower risk. Our experience supports
the use of novel technologies and user-friendly
interfaces (i.e., touchscreens or tablet comput-
ers) to facilitate the collection of self-reported
information in high volume clinical settings
Levine et al., 1989 [97] Self-harm, suicide ideation • Hamilton rating scale for depression
• Suicidal Ideation Questionnaire Study result suggests that not only is the com-
puter interview acceptable to most patients, but
the data suggest that the patients are prepared
to confide information to the computer that they
may be unwilling to tell the clinician. Further, the
data also suggest a significant pathoplastic effect
of the personality of the patient on the percep-
tion of the psychopathology by the clinician. The
computer appeared to be a better predictor of
suicidality than the interview by the clinician
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Table 5 (continued)
Author, Year Outcomes of interest Outcome measures and measurement tools Key results
Ligier et al., 2016 [77] Suicide attempt and suicide reattempt • Data from participating hospital
• Multidimensional scale of perceived social
support
• Kidscreen-27 and Vécu et Santé Perçue des
Adolescents
• Center for Epidemiologic Studies Depression
Scale
Not Applicable—protocol
Luxton et al., 2012 [124] Feasibility, readmission, length of stay, staff
experience, patient coping, depression, suicide
ideation, and adverse events
• Reasons for living inventory
• Patient Health Questionnaire—9
• Suicide ideation scale
• Phone interviews
Most participants indicated preference for
e-mail versus postal mail. Fifteen participants
were readmitted for treatment compared to 20
patients in usual care. Twenty participants sent
responses, and all were positive statements about
the program. There were no adverse events. This
program is feasible for use at a military treatment
facility
Luxton et al., 2014 [62]
(Protocol)
Luxton et al., 2020 [78]
Suicide mortality, depression, suicide ideation,
coping, belongingness, perceived burdensome-
ness, capability for lethal self-injury, positive
aspects in a person’s life, suicide behaviour,
medical/psychiatric treatment utilization
• Positive assets search semi-structured inter-
view tool
• Acquired Capability for Suicide Scale
• Patient Health Questionnaire -9
• Lifetime Parasuicide Count
• Interpersonal Needs Questionnaire
• Acquired Capability for Suicide Scale
• Death certificates recorded in the Centers for
Disease Control and prevention
• National Death Index Plus
• Rudd suicide ideation scale
• Survey (phone interview)
• Health administrative data
No firm conclusions about the efficacy of the
intervention can be made because the study was
inadequately powered. There were no adverse
events associated with the intervention, and
implementation of the procedures was feasible in
the military and veteran hospital settings
Mackie et al., 2017 [102] Staff and patient experience • Semi-structured interview
• Written participants exit questionnaire
• Patient Health Questionnaire -9 (PHQ-9)
Seven men were enrolled in the study, and
six completed the qualitative interviews. The
two main themes identified were of trust and
connection. Participants attended 85% of their
appointments
Madan et al., 2015 [98] Depression, suicide ideation and behaviour • Patient Health Questionnaire -9 (PHQ-9)
• Columbia Suicide Severity Rating Scale (CSSR-
S)
At admission, 59.0% of patients endorsed
suicidality on at least 1 of the suicide alert critical
items. Patients endorsed critical item 1 (from the
PHQ) most frequently and more often than any of
critical items 2 to 6 from the CSSR-S. Patients who
endorse more items may be experiencing more
severe suicidality
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Table 5 (continued)
Author, Year Outcomes of interest Outcome measures and measurement tools Key results
Marasinghe et al., 2012 [79] Suicide ideation, depression, social support,
alcohol use, and drug check • Beck Scale for Suicidal Ideation
• Beck depression inventory
• Medical outcomes study social support survey
• Alcohol use disorders identification test
• Drug check problem list
There were no significant differences between
the groups at baseline. Intention-to-treat analyses
showed that average scores for both conditions
improved on all outcome measures
McManamaO’Brien et al., 2017 [125] Patients and parent experience related to
usability, and satisfaction • System usability scale
• Open ended survey questions Results demonstrated acceptability and usability,
suggesting the utility of technological interven-
tions, such as Crisis Care, as an adjunct to treat-
ment for suicidal adolescents and their parents
following discharge from acute care settings
Melvin et al., 2019 [126] Suicide ideation, coping, feasibility • App usage data
• App feedback survey (closed ended and open-
ended)
• Columbia Suicide Severity Rating Scale
• Suicide related coping scale
• Suicide resilience inventory-25
• Coping strategy usage questionnaire
A vast majority of participants used the app to
view and edit their safety plans and reported
that the app was easy to use. A reduction was
observed in participant severity and intensity
of suicide ideation, and suicide-related coping
increased significantly. No significant changes
were observed in suicide resilience
Morthorst et al., 2021[127] Feasibility, clinical outcomes including NSSI,
quality of life, sick days • Phone interviews
• Completion of follow-up, compliance (comple-
tion of modules)
• deliberate self-harm inventory – youth version
• Health-related quality of life questionnaire
(kidscreen-10)
• Depression anxiety stress scale
• Number of sick days
• Difficulties in emotion regulation scale–16
item version
• Borderline symptom list
• Columbia Suicide Severity Rating Scale
• The coping with children’s negative emotions
scale
• The coping with children’s negative emotions
scale adolescent
• Negative effects questionnaire
• Strengths and difficulties questionnaire
• Working alliance inventory, short version
Not Applicable—protocol
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Table 5 (continued)
Author, Year Outcomes of interest Outcome measures and measurement tools Key results
Mousavi 2014 [80] Suicide attempts, suicide ideation, hope of life,
compliance of treatment • Phone calls (questionnaires) The only suicide attempt case in the intervention
group occurred in the 4th month after discharge,
and in the control group there was one case after
the 1st month, 2 cases after the 2nd month and
one case after the 4th month. After discharge
during the 6 month follow up, one patient in the
intervention group and 4 patients in the control
group had attempted suicide, no significant
difference of suicide reattempt has been found
between two groups. By the end of the study
period, 28 patients in the control group and 14
patients in the intervention group had suicidal
thoughts. 19 patients in the control group and 50
patients in the intervention group had increase
in hope. There was no significant difference for
the compliance to treatments after 6 months of
follow up
Muscara et al., 2020 [128] Feasibility, acceptability, suicide resilience and
self-harm • App log ins and use data
• Self-report questionnaire
• Suicide resilience inventory-25 measure
Eight participants felt that the apps would not
keep them safe when in crisis, with nine and
seven participants reported that BeyondNow and
BlueIce, respectively, did not help them to man-
age their symptoms in crisis. Most participants
rated both apps positively regarding ease of use,
and a small majority reported that they would
recommend both apps and were satisfied with
the apps. Most participants did not believe that
they would use the apps in the future. A signifi-
cant improvement was found on the Emotional
Stability Scale
Nuij et al., 2018 [129] Feasibility, level of explorative power of the
model, suicide behaviour • System usability scale
• Client satisfaction questionnaire 8
• Survey comprised of scale and question-
naires operationalised within the Integrated
Motivational-Volitional model
Not Applicable—protocol
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Table 5 (continued)
Author, Year Outcomes of interest Outcome measures and measurement tools Key results
O’Keefe et al., 2019 [81] Suicide ideation, resilience, depression, anxiety,
impulsivity, self-efficacy, communal mastery,
self-esteem, substance use
• Suicide Ideation Questionnaire
• Resiliency scales for children and adolescents
• Centers for epidemiologic studies depression
scale revised
• Children’s hope scale
• Alcohol, smoking and substance involvement
screening test
• UPPS impulsive behavior scale
• Multicultural mastery scale
• Voices of Indian teens cultural issues and
interest
• Rosenberg self-esteem scale
• Index of local indicators of well-being
• PROMIS pediatric anxiety short form
Not Applicable—protocol
O’Toole et al., 2019 [82] Suicide risk, depression, patient perception of
the app • Suicide Status Form (SSF) II–R
• Major Depression Inventory (MDI)
• Total app activity
• Unsafe of methods library
A significant main effect of time on SSF was
found across the whole intervention period,
where self-reported suicide risk decreased. Con-
cerning MDI, the main effect of time across the
whole intervention period was significant, show-
ing a large decrease across groups in depressive
symptoms. Concerning the participants who
had used the mobile app measured as any type
of clicks (N = 50), the total number of clicks was
not significant at either post-treatment. The total
number of methods used was not significantly
associated with the effect
O’Connor 2019 [135] Feasibility, acceptability, intervention adher-
ence, suicide severity, coping • Columbia Suicide Severity Rating Scale
• The entrapment scale
• The interpersonal needs questionnaire
• The ENRICHD social support instrument
• The suicide-related coping scale
• Semi-structured interview and focus group
• NHS clinical databases
Not Applicable—protocol
Olsen et al., 2021 [130] Feasibility, NSSI, quality of life, depression, anxi-
ety, and stress • Deliberate self-harm inventory–youth version
• Kidscreen-10
• Depression anxiety stress scale
• Proportion of sick days during the last month
• Difficulties in emotion regulation scale
• Borderline symptom list
• Columbia Suicide Severity Rating Scale
• Coping with children’s negative emotions
scale
• Negative effects questionnaire
Not Applicable—protocol
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Table 5 (continued)
Author, Year Outcomes of interest Outcome measures and measurement tools Key results
Owens and Charles 2016 [131] Feasibility, clinician and patient experience • Interview Clinicians all understood the purpose of the
intervention and recognised that it could be valu-
able in the management of self-harm and other
problem behaviours, but heavy workloads, high
stress levels and possibly some technophobia
contributed to a perception that too much effort
was required to master it and incorporate it into
their practice
Canady 2018 [104] Suicide risk • Columbia Suicide Severity Rating Scale
• Clinical practice screener-recent In the ED, 6.3 percent of the screens were posi-
tive, as were 1.6 percent in the inpatient units,
and 2.1 percent in the outpatient clinics
Pickett et al., 2021[132] Feasibility, rate of screening, suicide risk • Ask suicide screening questions Suicide screening increased from 1.0% to 76.5%.
The novel use of a tablet-based universal suicide
screening method was successfully implemented
in a busy ED and designed to optimize disclosure
and patient comfort, while preserving valuable
provider/nursing time
Sayal et al., 2019 [133] Depression, suicide severity, anxiety, hopeless-
ness, and health utility • Beck Depression Inventory-II
• Personal health questionnaire – 9
• Beck hopelessness scale
• Generalised Anxiety Disorder Assessment
• Columbia Suicide Severity Rating Scale
• Work and social adjustment scale
• 5-level EuroQol 5-dimensional questionnaire
• Interviews
Recruitment to RCTs of remotely delivered CBT
for young people with depression and repeat
self-harm is not feasible through recent presenta-
tions to clinicians in self-harm services. Offering
remotely delivered PSCBT did not enhance the
uptake of this intervention in participants aged
16–30 years with depression who had recently
presented to medical services following self-harm
Seong et al., 2021 [99] Successful case management rate • Case management database of the hospital The rate of patients who connected with their
local psychiatric healthcare center showed a
significant difference between the Mobile Mes-
senger Counselling (MMC) and non-MMC groups.
The use of mobile messengers for counseling
self-harm or suicide attempters leads to higher
case management success rates by increasing
their likelihood of connecting to a local psychiat-
ric healthcare center
Simon et al., 2016 [63](protocol)
Simon 2022 [83]Self-harm, mortality
suicide attempt • Electronic health record data
• Death certificate
• Insurance claim data
Risk of fatal or nonfatal self-harm over 18 months
did not differ significantly between the care
management and usual care groups but was
significantly higher in the skills training group
than in usual care
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Table 5 (continued)
Author, Year Outcomes of interest Outcome measures and measurement tools Key results
Stallard et al., 2016 [64] protocol
Stallard et al., 2018 [84]Depression, anxiety, suicide behaviour, safety,
acceptability, and self-harm, usability, feasibility • Mood and feelings questionnaire
• Revised child anxiety and depression scale
• Strengths and difficulties questionnaire
• Rating questionnaires
• Semi-structured interviews
• Referral pathways
No safety issues were identified and there were
no unintended negative effects on self-harm.
Almost three-quarters of those who had recently
self-harmed reported reductions in self-harm
after using BlueIce for 12 weeks. There was a
statistically significant mean difference on post
use symptoms of depression and symptoms
of anxiety, which was evident across all anxiety
subscales. Ratings of app acceptability and use-
fulness were high
Stevens et al., 2019 [85] Hospitalization, mortality • Routinely collected data sources through New
South Wales (NSW) health, other government
agencies, and the centre for health record
linkage
Not Applicable—protocol
Vaiva et al., 2006 [87] Suicide reattempt, death, number and type of
health care contact • Telephone interviews
• Electronic health record data
• Emergency departments health records on
all suicide attempts, deaths, or further suicide
attempts
70% of participants in both intervention groups
were successfully contacted by telephone. Six
participants died. On an intention to treat basis,
the three groups did not differ significantly
for proportion with an adverse outcome. The
number of participants contacted at one month
who reattempted suicide was significantly lower
than that of controls. For participants contacted
at three months, the number who attempted
further suicide was not significantly lower than
that of controls. Participants in the intervention
groups talked about their attempted suicide with
their general practitioner more often than the
controls
Vaiva et al., 2011 [65] (protocol)
Vaiva et al., 2018 [86]Suicide reattempt, adverse events such death
by suicide • Mini-international neuropsychiatric interview
• Phone survey After 6 months, 58 participants in the interven-
tion group reattempted suicide compared with
77 in the control group. The difference between
groups was not significant
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Table 5 (continued)
Author, Year Outcomes of interest Outcome measures and measurement tools Key results
Wright et al., 2021 [134] Depression, suicidality, and patient experience • Beck depression inventory-II
• Questions/observations during sessions (gen-
eral comments on iPad use)
Of the 40 patient participants, 25% selected one
of the depressive symptoms or one of the suicide
responses on the depression inventory, made
comments or displayed depressive symptoms in
the audio-visual group sessions, or wrote about
issues that caused the professionals to be con-
cerned about possible suicidal ideation. All the
patients commented on the iPad delivery being
easy com-pared with some other open-source
methods they had used. Various types of support-
ive interactions were observed among the group
participants, including affirmations, humor, and
emotional and in-formational support
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consistent with the current literature for implementa-
tion practice and knowledge translation [142, 143]. Edu-
cational meetings and training workshops are less costly
and more accessible to support implementation than
complex strategies requiring organizational-level change
[144]. erefore, educational meetings and training
workshops could have been feasible options. However,
barriers related to psychological capabilities were the
least frequently coded category in the included studies.
It is important to note that improving clinicians’ level of
knowledge and skills does not always lead to observable
practice changes leading to successful implementation of
innovations [145]. erefore, we recommend strategically
considering diverse types of implementation strategies,
other than education and training, to target both clini-
cian- and external-level barriers for a given context. Sec-
ondly, collaborative initiatives were the next commonly
reported strategy for implementation identified in this
review. While partnership approaches such as co-design
are common for innovation development, people often
think that implementing what has been designed is the
responsibility of others [146]. is is not true; researchers
can co-create changes in the workflow to support imple-
mentation [147]. We encourage researchers to continue
to leverage collaborative initiatives within their studies as
they can foster important relationships between knowl-
edge users and researchers. is will allow researchers to
focus on real-world needs and facilitating implementa-
tion efforts [148, 149].
Researchers need to consider the complex contexts in
which apps are being implemented [22]. As such, report-
ing details of implementation plans are strongly encour-
aged to advance our understanding of implementation
processes and context. During implementation, the influ-
ence of context, such as barriers and facilitators, and
interactions between them, are necessary to explain how
or why certain outcomes are achieved, as well as varia-
tions in outcomes across studies [150, 151]. Furthermore,
implementation is a known determinant of intervention
effectiveness, and barriers can significantly reduce the
effectiveness of an intervention [56]. Not knowing con-
textual influences may limit the generalizability of study
findings to different settings. In response to the general
lack of reporting details identified in this review, we
encourage future studies to consider Proctor’s recom-
mendations for specifying and reporting implementation
strategies [152] and the Expert Recommendations for
Implementing Change (ERIC) taxonomy for implementa-
tion strategies [153]. Furthermore, considering the itera-
tive nature of the implementation process, any changes
to original implementation plans are also encouraged to
be reported. Future studies can consider the Framework
for Reporting Adaptations and Modifications–Enhanced
(FRAME) to guide the reporting of adaptations and
modifications to the design or delivery of an intervention
[154].
It has been reported that researchers are faced with
challenges of selecting implementation strategies [155].
Furthermore, implementation strategies have often been
mismatched to existing barriers [156, 157]. For example,
a review of 20 quality improvement studies found that
many studies utilized clinician-oriented (individual-level)
strategies, such as education, to address organizational-
level barriers [156]. Similarly, the current review identi-
fied that the three most reported categories of barriers
were related to physical opportunity, social opportunity
and reflective motivation, and examples included poor
internet connection, busy clinical settings, lack of buy-
in from and engagement with clinicians, and perceived
uncertainties around ICTs. However, the most reported
implementation strategies were education and training
support, all of which cannot address the barriers stated
above. is is an example of missed opportunities and an
area for future research efforts.
Guided by the BCW, we can identify intervention
options that can address the barriers identified in this
review. To overcome physical opportunity, Training,
Enablement, Environment Restructuring, or Restriction
are recommended [49]. To overcome social opportunity,
Restriction, Environment Restructuring, Modelling, or
Enablement are suggested [49]. e use of evidenced-
based theories like the BCW can improve the selection of
implementation strategies and subsequent integration of
ICTs in clinical settings [139, 141]. Additionally, clinical
practice within health systems as well as human behav-
iour are complex; it is not individual factors that facilitate
implementation of a new innovation, but the dynamic
interaction between them [28, 158]. Nonetheless, the
BCW accounts for interactions between both internal
(i.e., capability, motivation) and external (i.e., opportu-
nity) factors that influence behaviour change [49]. Use of
behaviour change theories will not downgrade the com-
plexity, but rather it can help researchers organize com-
plex data in a comprehensive way that is also accessible to
work with. As such, we recommend future studies to use
TMFs to guide the selection of implementation strategies
to overcome existing barriers.
Consistent with the current review findings, other
external barriers associated with implementing ICTs are
related to limited access to ICTs and internet, and digi-
tal literacy skills [159]. Despite the widespread use of
mobile phones, a phenomenon called the ‘digital divide’
can occur due to social equity factors such as educa-
tion, income, age, and urban/rural residence [160–162].
Digital divide refers to inequities in accessing and using
ICTs as well as associated outcomes of using ICTs [162].
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Page 55 of 60
Shinetal. BMC Health Services Research (2023) 23:281
To prevent digital divide amplification and to avoid
unintended harm, implementation efforts for new inno-
vations must account for digital equity considerations
[163]. However, very few included studies considered
equity concerns and provided patients with ICT devices
[74, 101, 114, 134], free data plans [111], or options
for alternative ICTs (e.g., email instead of texts) as per
patients’ preferences [71, 133]. In contrast, several stud-
ies made ownership of ICT devices as one of the inclu-
sion criteria [61, 69, 78, 82, 85, 88, 102, 105, 111, 113, 120,
128, 129, 131, 135], and one study excluded participants
who reported difficulty using a computer [117]. is is
a critical area of future efforts for minimizing the digital
divide. Van Dijk [164, 165], and Selwyn [166] recommend
addressing the digital divide through assessing patient
ICT access, use, competence, and reasons for divided
outcomes. As many ICTs are rapidly being adopted and
implemented for suicide prevention, this review identi-
fied a lack of attention to equity-related considerations in
the current literature. is highlights a critical direction
for future research, as efforts are needed to prevent digi-
tal divide amplification and avoid unintended harm while
advancing ICT use.
Reported measures andoutcomes
We identified that studies of ICT-based interventions for
suicide prevention reported implementation outcomes
and/or interventions’ impact on patients, clinicians,
and/or health systems. Most studies reported patient-
level outcomes, such as suicide risk and behaviours, and
implementation outcomes of feasibility. However, no
studies reported long-term outcomes of implementation
such as sustainability. is is a gap in the current litera-
ture, and future research should consider assessing long-
term outcomes, or at least should consider sustainability
potential beyond feasibility. e end goal of implement-
ing new innovations in clinical settings is routinization,
achieving seamless integration of ICT use in routine clin-
ical flow [167]. Despite the promising clinical benefits of
ICTs for suicide prevention, clinical integration remains
limited [22–24]. is problem is consistent across ICTs
in general. It has been repeatedly reported that ICTs are
not fully implemented, not moving beyond pilot trials,
or being abandoned [25, 168]. To move beyond initial
adoption of useful ICTs, we encourage future research
to consider sustainability outcomes early on. Proctor’s
Implementation Outcomes Framework [56] and the
Reach, Effectiveness, Adoption, Implementation Main-
tenance (RE-AIM) [169] are example tools to guide
outcome selections related to implementation and sus-
tainability of interventions. Several studies included in
this review measured both intervention outcomes and
implementation outcomes in one study [67, 76, 80, 84, 89,
91, 101, 106, 114, 115, 117, 118, 120, 122, 124, 126–132,
135]. Similarly, future research can benefit from lever-
aging effectiveness-implementation hybrid designs that
have a dual focus of evaluating intervention effectiveness
and implementation outcomes simultaneously [170, 171].
Hybrid designs are encouraged to move interventions
to the real-world more rapidly because the traditional
research approach of keeping efficacy, effectiveness, and
implementation research separate and sequential slows
down the process and overlooks complex contexts inher-
ent within [170, 171].
Limitations
Several limitations may affect the interpretation and use
of our review findings. Many papers lacked detail on the
barriers and facilitator to implementation, which made
challenging to categorize them into the three overarching
domains of capability, opportunity, and motivation. We
conducted directed content analysis of the barriers and
facilitators, and we report the frequency counts of these
barriers and facilitators. However, this may not be a com-
plete list of barrier and facilitators to implementation.
Additionally, the categories within the COM-B and TDF
are not mutually exclusive; many barriers and facilitators
interact with each other, and this is one of the underlin-
ing assumptions of the human behaviour [49].
Secondly, our search strategy was limited to papers
published in English. is may partly explain our find-
ing that most studies originated from North America and
Europe. As shown in the Fig.1, we excluded eight papers
written in non-English languages. We also acknowledge
that our search strategies may not have captured stud-
ies conducted in low and middle-income countries. As
a result, this review does not reflect evidence of ICTs
for suicide prevention written in non-English languages
or low- and middle-income countries, possibly result-
ing in underrepresentation and/or underreporting of the
authorship and the amount of literature.
ird, we did not include ICT-based interven-
tions in non-clinical settings such as schools. ere
are many other ICT-based interventions for suicide
prevention that exist beyond what is included in this
review. Lastly, despite our comprehensive search strat-
egy, which included varied terms to describe ICTs, it
is possible that relevant literature was not captured.
To mitigate this limitation, we used Google search as
a complementary to locate additional studies that our
search strategy might have missed. We believe that our
final search strategies were sensitive enough to pro-
vide full coverage of relevant literature because many
papers identified during the second step of Google
search were already captured by our main database
searches. It is also important to recognize the inherent
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Page 56 of 60
Shinetal. BMC Health Services Research (2023) 23:281
limitation of Google searches related to reproducibility
of results [172]. A researcher from a different country
may receive different results with the same steps, which
is why Google search was complementary to full search
strategies and not used alone.
Conclusions
is scoping review provides a comprehensive over-
view of published literature on the ICTs for suicide pre-
vention implemented in clinical settings. e findings
revealed the most common types of ICTs for suicide
prevention, including apps, text messages, and telemed-
icine. ese ICTs were commonly used as a targeted
strategy for suicide prevention and served multiple
functions, including suicide screening and assessment,
safety planning, and post-discharge follow-up care.
Additionally, the findings revealed that the most com-
mon strategies for implementing these ICTs included
education, training, and collaborative initiatives. How-
ever, barriers collectively influenced clinicians’ capabil-
ity, opportunity, and motivation to implement ICTs for
suicide prevention. erefore, implementation strate-
gies must be tailored and multi-faceted to target spe-
cific barriers in a given context in order to facilitate
implementation efforts for ICTs in clinical settings.
Along with the lack of qualitative evidence in this field,
the lack of reporting of implementation strategies and
related barriers and facilitators was an evident gap in
this body of literature, highlighting the need for more
explorative research and a call for better reporting.
Additionally, the lack of theoretical frameworks iden-
tified in included studies encourages the use of estab-
lished TMFs to guide future work. Lastly, the absence
of sustainability outcomes and digital equity consid-
erations identified in the current literature highlights a
critical direction for future research.
Abbreviations
ICT Information and communication technology
BCW Behaviour change wheel
COM-B Capability opportunity motivation – behaviour
TDF Theoretical domains framework
JBI Joanna Briggs Institute
TMF Theory, model, framework
Supplementary Information
The online version contains supplementary material available at https:// doi.
org/ 10. 1186/ s12913- 023- 09254-5.
Additional le1.
Additional le2.
Additional le3.
Additional le4.
Acknowledgements
We wish to thank the librarians for generating and peer-reviewing compre-
hensive search strategies in this review.
Authors’ contributions
HDS designed the scoping review protocol including data collection and
interpretation planning. HDS, LS performed the title and abstract screening
and HDS, LS, KD performed full-text screening. HDS, KD, LS performed data
extraction. HDS conducted data analysis and LS, KD verified analyzed data.
HDS wrote the first draft of the manuscript and worked on revisions. GS
supervised all phases of the work. All authors (HDS, KD, LS, JZ, JT, GS) critically
reviewed and provided feedback on the manuscript. The author(s) read and
approved the final manuscript.
Funding
As a PhD in Health Services Research trainee, HDS was funded through the
Queen Elizabeth II/Mary Beck Queen Elizabeth II Graduate Scholarships in
Science and Technology and the Koerner Scholarship from the Centre for
Addiction and Mental Health. The funders did not have any role in content
development.
Availability of data and materials
All data generated or analysed during this study are included in this published
article [and its Additional files].
Declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Author details
1 Institute of Health Policy, Management and Evaluation, University of Toronto,
Toronto, Ontario, Canada. 2 Campbell Family Mental Health Research Institute,
Centre for Addiction and Mental Health, Toronto, Ontario, Canada. 3 Arthur
Labatt Family School of Nursing, Western University, London, Ontario, Canada.
4 School of Health, Community Service & Creative Design, Lambton College,
Sarnia, Ontario, Canada. 5 Health Outcomes and Performance Evaluation
(HOPE) Research Unit, Institute for Mental Health Policy Research, Centre
for Addiction and Mental Health, Toronto, Ontario, Canada. 6 Gerald Sheff
and Shanitha Kachan Emergency Department, Centre for Addiction and Men-
tal Health, Toronto, Ontario, Canada. 7 Department of Psychiatry, University
of Toronto, Toronto, Ontario, Canada. 8 Department of Psychiatry, Beth Israel
Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts,
USA.
Received: 29 July 2022 Accepted: 7 March 2023
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