Content uploaded by Macarena Hirmas
Author content
All content in this area was uploaded by Macarena Hirmas on Dec 26, 2024
Content may be subject to copyright.
Navigating Through Innovation in
Elderly’s Health: A Scoping Review of
Digital Health Interventions
Macarena Hirmas-Adauy
1
*, Carla Castillo-Laborde
1
, Camila Awad
1
, Anita Jasmen
2
,
Maurizio Mattoli
3
, Xaviera Molina
1
, Andrea Olea
1
, Isabel Matute
1
, Fernando Soto
2
,
Paola Rubilar
1
, Oscar Urrejola
1
,
4
, Tania Alfaro
1
,
5
, María Teresa Abusleme Lama
6
and
Sophie Esnouf
1
1
Centro de Epidemiología y Políticas de Salud, Facultad de Medicina Clínica Alemana, Universidad del Desarrollo, Santiago, Chile,
2
Independent Research Consulting, Santiago, Chile,
3
Centro de Informática Biomédica, Instituto de Ciencias e Innovación en
Medicina, Facultad de Medicina Clínica Alemana, Universidad del Desarrollo, Santiago, Chile,
4
Escuela de Kinesiología, Facultad
de Medicina Clínica Alemana, Universidad del Desarrollo, Santiago, Chile,
5
Instituto de Salud Poblacional, Facultad de Medicina,
Universidad de Chile, Santiago, Chile,
6
Unidad de Salud Pública y Bioetica, Departamento de Formación Transversal en Salud,
Facultad de Medicina y Ciencias de la Salud, Universidad Central de Chile, Santiago, Chile
Objectives: Comprehensively map and summarize digital health initiatives for the elderly
and caregivers.
Methods: Scoping review between April and May 2022 based on Joanna
Briggs methodology. Databases used included PubMed, Cochrane
Library, CINAHL Plus, and Web of Science, along with grey literature and
hand searches. Two reviewers independently conducted screening and
eligibility phases, with a third resolving disagreements. Data were
thematically analyzed.
Results: The review included 421 documents. Most documents were
published between 2013 and 2022, with a recent increase. Most studies,
originating from high-income countries, focused on home applications and were
mainly in the testing and validation stages. Telephones and computers were the
predominant devices. Health objectives included monitoring, prevention, and
treatment, with interventions utilizing directed communication and personal health
monitoring for individuals, and telemedicine and decision support for
healthcare providers.
Conclusion: Increasing integration of technology in older adults’lives, along with their
increasing proficiency, is driving a significant rise in digital health interventions.
Despite this growth, further research in middle- and low-income countries, for
caregivers and evaluating effectiveness and feasibility of these technological
interventionsisneeded.
Keywords: digital health, elderly, caregiver, reviews, telemedicine
Edited by:
Milena Maule,
University of Turin, Italy
Reviewed by:
Maria Vittoria Bulgheroni,
Ab.Acus, Italy
Maria Bujnowska-Fedak,
Wroclaw Medical University, Poland
*Correspondence
Macarena Hirmas-Adauy,
mhirmas@udd.cl
Received: 12 July 2024
Accepted: 26 November 2024
Published: 19 December 2024
Citation:
Hirmas-Adauy M, Castillo-Laborde C,
Awad C, Jasmen A, Mattoli M,
Molina X, Olea A, Matute I, Soto F,
Rubilar P, Urrejola O, Alfaro T,
Abusleme Lama MT and Esnouf S
(2024) Navigating Through Innovation
in Elderly’s Health: A Scoping Review
of Digital Health Interventions.
Public Health Rev 45:1607756.
doi: 10.3389/phrs.2024.1607756
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 16077561
Public Health Reviews
REVIEW
published: 19 December 2024
doi: 10.3389/phrs.2024.1607756
INTRODUCTION
Population aging is a worldwide phenomenon, and it is estimated
that by 2050, two billion people will be 60 years of age and older
(22% of the population). Eighty percent of them will be living in
low- and middle-income countries [1].
Population aging signifies improved living conditions and
health status in countries; however, it also presents a series of
health and social challenges that need to be addressed. Moreover,
due to physical and functional limitations, some elderly
individuals require a caregiver, a key figure who provides care,
makes decisions, and connects them with the healthcare
system [2–4].
When examining equity in healthcare access, disparities
become evident as certain populations encounter unmet health
needs due to factors such as limited-service availability,
administrative and cultural barriers, substandard service
quality, high costs, and extended waiting times. The
implementation of digital health technologies can partially
alleviate these disparities by enhancing the interaction between
healthcare providers and the population [5].
Digital health is defined as “the use of information and
communication technology (ICT) in support of health and
related areas”[5]. Technologies provide concrete opportunities
to address health system challenges and offer possibilities to
improve access, coverage and quality of services [6]. Their use,
especially in low-resource settings, could enable progress toward
universal health coverage (UHC), with a more equitable and
resource-efficient model of care [7].
Digital health technologies have emerged as a significant area
of development and research aimed at addressing various health
needs [5]. In 2018, the World Health Assembly formally
recognized their potential in advancing towards Universal
Health Coverage (UHC). In its resolution [8], the Assembly
called upon health ministries to evaluate the use of digital
health technologies and prioritize their development,
assessment, implementation, scaling up, and increased use.
Furthermore, the resolution tasked the World Health
Organization (WHO) with providing policy guidance in
this field [5].
The utilization of digital health technologies has been
extensively acknowledged for its applicability across various
target groups, including patients, healthcare professionals, and
decision-makers. This technology encompasses a broad range of
functionalities such as electronic health records, emergency alert
systems, fall detection sensors, and remote patient monitoring, all
of which are continually advancing due to the dynamic nature of
the field [5].
The SARS-CoV-2 pandemic has notably accelerated the
adoption and development of health technologies. However,
there is a pressing need for systematic evidence, particularly
regarding vulnerable populations like the elderly, to inform
effective development and implementation strategies. Seniors
possess diverse healthcare needs but frequently encounter
difficulties in utilizing these technologies. Therefore, it is
crucial to design digital health solutions that are user-friendly
and tailored to their specific needs and preferences, ensuring that
healthcare services remain accessible, efficient, and effective.
Digital health innovations can enhance care quality for seniors
by improving service delivery, optimizing data management, and
facilitating better communication between patients and
healthcare providers [5,9].
The aim of this scoping review is to comprehensively map and
summarize digital health initiatives, strategies, programs,
innovations or policies for the elderly or their caregivers.
METHODS
The scoping review was conducted following the Joanna Briggs
Institute (JBI) Guidance for conducting systematic scoping
reviews [10] and the Preferred Reporting Items for Systematic
reviews and Meta-Analyses extension for Scoping Reviews
(PRISMA-ScR) [11].
Review Question
What initiatives, strategies, programs, innovations, or digital
health policies are aimed at older adults or their caregivers?
Inclusion Criteria
The inclusion criteria were formulated based on the components
of the Population, Concept, and Context (PCC) framework as
outlined by the JBI [10]:
−Population: elderly or their caregivers (formal and informal).
Elderly is defined as individuals at a stage of life
characterized by biological, psychological, and social
changes associated with aging. For this study, the
population aged 60 years and older was considered, in
accordance with the definition established by the World
Health Organization [12].
−Concept: the core topic or phenomenon of interest are digital
health initiatives, strategies, programs, innovations, policies,
oriented to older people or their caregivers. Digital health is
understood as “the use of information and communication
technology in support of health and related areas.”They are
considered those with which the elderly person or caregiver
interacts, or that fulfill the function of being a facilitator in
their daily life related to some area of health.
−Context: regarding geographic location and specific settings,
the scoping considers initiatives implemented in any
country or setting, including hospitals, primary care
facilities, community health services, elder care centers
and residences, other healthcare services, private homes,
and both rural and urban settings.
Exclusion Criteria
Documents were excluded if they were interviews, opinion letters,
or other types that did not contain their own methods and results;
related exclusively at other age groups, surgical practices or
pathology diagnosis; inquired exclusively into aspects of
acceptability (i.e., the degree to which population or specific
social groups accept the technology and the factors that
increase or decrease the likelihood of their use); contained
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 16077562
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
terms as ICT (which is not the subject of this review: intensive
chemotherapy, intracranial tumors, Islamabad Capital Territory,
among others); were clinical trial protocols, or only described the
technology (or its development) without having been tested or
used by elderly or caregivers.
Included terms like ICT (that, in our context, means
Information and Communication Technology) with meanings
unrelated to this review, such as “intensive chemotherapy,”
“intracranial tumors,”or “Islamabad Capital Territory,”were
excluded. This approach allowed to comprehensively capture
studies aligned with our focus while filtering out unrelated
documents using the same acronym.
Databases and Search Strategy
The following biomedical data sources were consulted: PubMed
(NCBI), CINAHL Plus with Full Text (EBSCO), Academic Search
Ultimate (EBSCO), Cochrane Library (free access by Ministry of
Health, Chile), Rehabilitation and Sports Medicine (EBSCO),
Web of Science (Clarivate), Scielo.org and Emerald.
Also, grey literature (manuals, technical documents, scientific
conference reports and conference presentations) was reviewed in
World Health Organization and Pan American Health
Organization.
Finally, a hand search was performed in OpenAire/Explore,
Working with Older People, Smart Homecare Technology and
TeleHealth, Journal of Assistive Technologies and Quality in
Ageing and Older Adults and Google Scholar.
To identify relevant studies, a seasoned biomedical librarian
(AJ) and four researchers specialized in public health and
epidemiology (XM, MTA, MM, and MHA) conducted a
comprehensive literature search following the stages
recommended by the JBI [13].
Firstly, an initial pilot study search was conducted in PubMed
(MHA and AJ) using keywords and Medical Subject Headings
(MeSH) terms associated with “elderly,”“frail,”“senior,”“frail
elderly,”“digital health,”“e-Health,”“telemedicine,”“telehealth,”
“digital therapeutics,”“virtual medicine,”“information and
communication technology,”“ICT,”“silver economy,”
“mhealth,”“mobile application.”In this study, MeSH terms
were not used in the final search as they did not effectively
discriminate between relevant and non-relevant articles. Instead,
free terms were utilized in the titles and abstracts of the
documents, allowing for a more precise and targeted search.
This approach detected a broader range of relevant studies and
sought to ensure no pertinent research was overlooked. Using free
terms refined the search criteria to better match the specific
context and nuances of the research focus.
The search strategy was implemented across additional
databases to ensure the results aligned consistently with the
research question. Subsequently, the keywords identified from
the relevant articles in the initial search were utilized to formulate
a comprehensive and planned search strategy (Appendix
search strategy).
A language filter was applied to include documents in English,
French, Portuguese, and Spanish, and only studies in humans
were included. There was no restriction by publication year.
Finally, a review of the references of the included documents
was conducted.
The search was conducted from 4 to 15 April 2022, for indexed
literature, and 25 April to 26 May 2022, for grey literature and
hand search. Reference management software was used to
organize the reference database. Additionally, the search
results were managed in Microsoft Excel v.2108, with separate
sheets created for the search and review processes.
The titles and abstracts of the documents obtained from the
identification phase were screened, selecting those to be
reviewed in full text during the eligibility phase. Each
document, at both stages, was reviewed by two independent
researchers, and disagreements were resolved by a third
reviewer, all from the research team (IM, CCL, AJ, CA, AO,
PR, XM, MM, MHA, OU, TA, FS, and SE). Most of the
reviewers have extensive experience in public health
research, epidemiology, and literature reviews.
Full text was searched through open access, by requesting
assistance from the Biomedical Library of our university or asking
directly from the authors. The entire selection process was
diagrammed in a flow chart identifying each stage
(identification, screening, and eligibility) (Figure 1).
Data Extraction
Data extraction from the selected studies followed the
methodology outlined by Peters et al. [13]. The research team
initially piloted and implemented the extraction process, testing
the designed matrix and refining it based on received feedback.
This approach facilitated the standardization of criteria for the
final data extraction. Upon completion, six researchers (CCL, CA,
AO, XM, IM, MHA) reviewed this phase, validating the
information extracted from the documents and adjusting
as needed.
Data were compiled in a single spreadsheet
(Supplementary Material), containing the articles’main
characteristics, along with specific aspects of the review
question. Data extraction categories included a detailed
overview of each study’s bibliographic information, context,
objectives, research design, outcomes, and key findings related
to this scoping review [10]. To classify digital health
interventions, the WHO’sclassification of interventions,
services, and applications in health was used [14], and was
considered those aimed at person and healthcare providers.
Three stages were considered for the level of technological
development: conceptualization and design (focus on the
generation and initial formulation of the intervention,
ranging from the initial idea to the design of a functional
prototype), testing and validation (includes pilot tests and
clinical evaluations aimed at testing the intervention in
controlled settings or with small groups to validate its
efficacy, usability, and safety), and implementation and
scaling (cover both small and large-scale implementation,
commercialization, and post-implementation evaluation,
focusing on bringing the intervention into wider use and
evaluating its impact and effectiveness in real-world, long-
term settings) [15].
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 16077563
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
FIGURE 1 | Flowchart of study selection according to scoping review process (Worldwide, 2022).
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 16077564
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
Analysis and Presentation of Results
Data from the selected studies and documents were
synthesized by four researchers (CCL, CA, XM, MHA)
through an iterative process, according to the
research question.
RESULTS
Overview
A total of 4,401 records were identified, obtaining 3,471 (78.8%)
after eliminating duplicates. Those 3,471 were reviewed in title
and abstract (screening). Of them, 853 (24.6%) were selected to
continue with the full-text review (eligibility). Finally, 421
(49.4%) documents were included in the analysis and came
from: indexed databases 288 (68.4%); grey literature 7 (1.7%);
hand search 7 (1.7%) and references review 119 (28.3%) [3,
4,16–434].
When categorized according to indexed articles or grey
literature, 97.6% (n = 411) and 2.4% (n = 10) were identified,
respectively. Documents published from 1988 to 2022 (the year
the review was in progress), with almost 90% of the publications
since 2008 (Table 1).
For the 411 indexed articles, the sex of the corresponding
author and the study design were recorded. Grey literature was
excluded from this analysis due to the nature of the authorships
and the type of scientific communication. In this regard, it was
found that 47.3% (n = 194) of the corresponding authors were
female. About the study design, 51.1% (n = 210) were clinical
trials or experimental and 20.2% (n = 83) were
observational (Table 1).
Population
The interventions were primarily aimed at the elderly population
(93.3%, n = 393), followed by healthcare professionals (48.0%, n =
202), and caregivers (43.0%, n = 179). Among the interventions
focused on caregivers, the most studied group were family or
informal caregivers (40.8%, n = 73) (Table 2).
Twenty documents focused exclusively on interventions for
healthcare professionals. These interventions included
teleophthalmology, emergency triage, cognitive assessments
and development of technologies for care and tele-
rehabilitation systems. Other areas addressed include reducing
emergency admissions, using wearable devices for health
monitoring, supporting caregivers with digital tools, and
adapting tele-neuropsychology for the COVID-19 pandemic.
Only five documents focused specifically on caregivers. These
studies examined the effectiveness of a platform to enhance
caregiver competence, satisfaction, and coping abilities,
identified mobile apps for caregivers, and outlined best
practices from successful interventions. They also analyzed
psychosocial interventions using technology, examined web-
based interventions, focusing on their development, delivery,
and impact on caregiver health outcomes. Additionally, they
explored how technology can improve caregivers’quality of life.
Chronic diseases were the most studied condition, accounting
for 51.8% (n = 218) of the total, with hypertension, diabetes,
obesity, chronic obstructive pulmonary disease, chronic pain, and
joint issues being the most common. Fragility-related issues,
including low grip strength, falls, and balance disorders, were
the focus of 27.1% (n = 114) of studies. Neurological conditions,
such as Alzheimer’s and dementia were examined in 24.0% (n =
101) of the cases. Mental health including depression, anxiety,
social isolation, and loneliness comprised 17.8% (n = 75). Studies
on healthy ageing and quality of life made up 13.1% (n = 55) of
the total. Less than 2% of the studies focused on sensory
impairment and infectious disease, respectively (Table 2).
Other conditions were accounted for in 5.0% (n = 21) of the
studies and were related to medication problems, acute illnesses,
nutrition and dietary status, specific pathologies, medical and
hospital care, health awareness and education.
Context
The studied countries classified by income and region according
to the World Bank [435], are presented in Table 2. Of the total of
TABLE 1 | Summary of characteristics of the included documents (Worldwide,
2022).
Characteristic of included documents (n = 421)*
Characteristic N %
Publication year
1988–2002 13 3.1
2003–2007 33 7.8
2008–2012 86 20.4
2013–2017 136 32.3
2018–2022 153 36.3
Publication type
Indexed (n = 411)
Research article 398 96.8
Congress abstract 8 1.9
Poster 1 0.2
PhD thesis 1 0.2
Special communication 2 0.5
Dissertation 1 0.2
Grey literature (n = 10)
Technical report 6 60.0
Recommendations 2 20.0
Country report 1 10.0
Position paper 1 10.0
Study design (n = 411)
Clinical trials, Experimental and Quasi experimental 210 51.1
Report, review or discussion article 33 8.0
Systematic review (with or without metanalisis) and scoping review 27 6.6
Case series 26 6.3
Cross-sectional study 25 6.1
Literature review or Narrative review 25 6.1
Cohort study 17 4.1
Mixed method 15 3.6
Qualitative study 12 2.9
Case-control study 9 2.2
Observational not specified 6 1.5
Other
a
61.5
Corresponding author sex (n = 411)
Female 194 47.2
Male 217 52.8
*[3,4,16–434].
a
Indexed articles that could not be classified such as: based case management,
retrospective descriptive study, technology model User-Centred Design, assistive
technology project.
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 16077565
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
TABLE 2 | Summary of characteristics of included documents according to PCC model (Population, Context, Concept) (Worldwide, 2022).
Characteristic of included documents (n = 421)*
Characteristic N%
Population
Elderly 393 93.3
Healthcare professionals 202 48.0
Caregivers
Family/Informal 73 17.3
Formal 52 12.4
Not specified 54 12.8
Disease or condition
Chronic disease (hypertension, diabetes, cancer, obesity, chronic obstructive pulmonary disease, chronic pain,
musculoskeletal, etc.)
218 51.8
Fragility (low grip strength, falls, balance disorders, etc.) 114 27.1
Neurological (Alzheimer’s, dementia, etc.) 101 24.0
Mental health (depression, anxiety, social isolation, loneliness, etc.) 75 17.8
Healthy ageing and quality of life 55 13.1
Other
a
21 5.0
Sensory impairment 81.9
Infectious disease 61.4
Context
Region of Country (World Bank Region)
Europe and Central Asia 149 35.4
North America 114 27.1
East Asia and Pacific78 18.5
Other
b
22 5.2
Middle East and North Africa 61.4
Latin America and the Caribbean 51.2
Sub-Saharan Africa 30.7
South Asia 10.2
Worldwide 39 9.3
Not specified 41.0
Income of Country (World Bank Income)
High 337 80.0
Upper-middle 28 6.7
Lower-middle 41.0
Low 10.2
Other
c
81.9
Worldwide 39 9.3
Not specified 41.0
Setting
Home 320 76.0
Nursing home (Retirement home, Community care Veterans’home, Senior living centers, Day care) 120 28.5
Healthcare facility 111 26.4
Other
d
13 3.1
Healthcare level (n = 111)
Primary 71 64.0
Secondary 61 55.0
Tertiary 53 47.7
Concept
Health objective of the digital tool
Monitoring or follow-up 265 62.9
Prevention 201 47.7
Therapy or treatment 200 47.5
Promotion 86 20.4
Diagnosis 80 19.0
Rehabilitation 70 16.6
Digital health interventions for persons
Targeted communication to Persons 259 61.5
Personal health tracking 190 45.1
On demand communication with persons 97 23.0
Person to Person communication 81 19.2
Other
e
38 9.0
Digital health interventions for healthcare providers
Telemedicine 239 56.8
Healthcare provider decision support 200 47.5
(Continued on following page)
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 16077566
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
421 records, it was possible to classify 378 documents (89.8%), the
rest did not specify countries (1.0%, n = 4) or referred to the world
level (9.3%, n = 39).
When analyzing income, 80.0% (n = 337) were from high-
income countries (HIC), 6.7% (n = 28) from upper-middle-
income economies (UMIC), 1.0% (n = 4) from lower-middle-
income (LMIC), and only 0.2% (n = 1) from low-income
countries (LIC). A 1.9% (n = 8) were a combination of high/
upper-middle and high/upper-middle/lower middle.
The most studied regions, accounting for 62.5%, with Europe
and Central Asia (35.4%, n = 149), and North America (27.1%,
n = 114), followed by East Asia and Pacific (18.5%, n = 78).
It was also studied whether the technology was applied at
home, in care centers and residences for the elderly, healthcare
facilities or other places. It was found that 76,0% (n = 320)
declared a home context, 28.5% (n = 120) care centers and
residences for the elderly, 26.4% (n = 111) healthcare facilities
and 3.1% (n = 13) others (public transportation, hospital at home,
community centers, university, outpatient rehabilitation sports
club, welfare centers and a facility designed to research providing
an authentic home environment).
Of those who studied a healthcare facility (n = 111), it was
found that the level of healthcare corresponded to 64.0% (n = 71)
primary, 55.0% (n = 61) secondary and 47.7% (n = 53) tertiary.
Concept
Despite the diverse methodologies and study designs in the
reviewed documents, the reported results related to the use of
TABLE 2 | (Continued) Summary of characteristics of included documents according to PCC model (Population, Context, Concept) (Worldwide, 2022).
Characteristic of included documents (n = 421)*
Characteristic N%
Prescription and medication management 113 26.8
Referral coordination 78 18.5
Other
f
13 3.1
Healthcare technologies results
Positive 366 86.9
No differences 36 8.6
Partially positive 11 2.6
Negative 81.9
Type of digital health tools
Hardware or physical devices
Telephone (cell phone, smart phone, landline phone) 216 51.3
Desktop or laptop computer 166 39.4
Wearable activity monitors (wrist-worn devices, or step counters) 98 23.3
Tablet 91 21.6
Sensors and positioning system 89 21.1
Video game consoles, exergames, balance board, dance mat, handheld remotes, fitness board, buzz controller, force
platforms, cameras with gesture recognition, virtual environment non-immersive and immersive
55 13.1
Telehealth devices (with or without health measurement) 50 11.9
Other
g
37 8.8
Interactive TV 34 8.1
Robots, social robots, robotic rollators, industrial and service robots, assistive telepresence robot 11 2.6
Radio RX/TX with interaction 20.5
Software, platforms
Videoconference platforms 153 36.3
Text/Audio Messaging (SMS, Chat, etc.) 110 26.1
Digital health portals 91 21.6
Health and fitness apps 81 19.2
Video game 63 15.0
Electronic mail 50 11.9
Digital community or groups 35 8.3
Other
h
34 8.1
*[3,4,16–434].
a
Medication problems, acute illnesses, nutrition and dietary status, specific pathologies, medical and hospital care, and health awareness and education.
b
Combination of region.
c
Combination of high/upper-middle and high/upper-middle/lower middle.
d
Public transportation, hospital at home, community centers, day care center, university, outpatient rehabilitation sports club, welfare centers, Aware Home Research Initiative (AHRI) at the
Georgia Institute of Technology is a facility designed to facilitate research, while providing an authentic home environment.
e
Digital therapeutics based on: therapies based on virtual technology and games, home-based exercise and rehabilitation programs, guided and personalized therapies, interventions
based on robotics, emotional support and communication, medical devices and telemedicine applications.
f
Healthcare provider training, Healthcare provider communication, Person-centered health records, Laboratory and Diagnostics Imaging Management, Scheduling and activity planning
for healthcare providers, Person-Centered Health Records, Professional advisory roles.
g
Communication Devices, Recording Devices and Cameras, Emergency and Alarm Systems, Reminders, Virtual and Augmented Reality Devices, Storage and Playback Devices, Personal
Devices.
h
Records and data management software or platforms, interactive and cognitive assistants, telephone services, websites and online platforms, exercise and educational content.
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 16077567
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
healthcare technologies were predominantly positive (86.9%, n =
366). Additionally, 11% (n = 47) reported no differences or
partially positive results, and only 1.9% (n = 8) negative
results (Table 2).
When analyzing the level of technological development, 97.4%
(n = 410) of the documents indicated some level. Specifically, 18.8%
(n = 79) were at the conceptualization and design stage, 69.1% (n =
291) were in testing and validation, and 25.9% (n = 109) were in the
implementation and scalability stage. Documents reporting multiple
levels of development were mostly reviews (Table 2).
In relation to the health objective sought by the technological
tool, it was found that 62.9% (n = 265) addressed monitoring/
follow-up; 47.7% (n = 201) prevention; 47.5% (n = 221)
treatment; 20.4% (n = 86) promotion; 19.0% (n = 80)
diagnosis, and 16.6% (n = 70) rehabilitation (Table 2).
By classifying digital health interventions, services, and
applications in health, of the 421 documents, 61.5% (n = 259)
focused on targeted communication to persons; 45.1% (n = 190) on
personal health tracking; 23.0% (n = 97) on demand communication
with persons; 19.2% (n = 81) on person-to-person communication;
and 9.0% (n = 38) on other categories. This last category includes
digital therapeutics based on virtual technology and games, home-
based exercise and rehabilitation programs, guided and personalized
therapies, interventions based on robotics, emotional support and
communication, and medical devices and telemedicine applications.
Of those interventions aimed at healthcare providers, 56.8% (n =
239) were related to telemedicine; 47.5% (n = 200) to healthcare
provider decision support; 26.8% (n = 113) to prescription and
medication management; 18.5% (n = 78) to referral coordination
and 3.1% (n = 13) to other classifications. The latter category
considered healthcare provider training, healthcare provider
communication, person-centered health records, laboratory and
diagnostics imaging management, scheduling and activity
planning for healthcare providers, person-centered health records,
professional advisory roles (Table 2).
The type of technology related to hardware and software was
analyzed. Regarding hardware, 51.3% (n = 216) referred to
telephone (cell phone, smart phone, landline phone); 39.4%
(n = 166) to desktop or laptop computer; similar proportions
(close to 20%) were found for wearables (wrist-worn devices or
step counters); Tablet and sensors and positioning system. Less
than 15% was found for video game consoles (exergames, balance
board, dance mat), interactive TV, robots (social robots, robotic
rollators, assistive telepresence robot), and radio RX/TX with
interaction. Telehealth devices (with or without health
measurement) were found on 11.9% (n = 50). On the other
category was found communication and recording devices,
cameras, emergency and alarm systems, reminders, storage
and playback devices (Table 2).
In terms of software, it was found that the most widely used
was videoconference platforms with 36.6% (n = 153); followed
by text/audio messaging with 26.1% (n = 110); digital health
portals with 21.6% (n = 91), and less than 20% each of the
following: health and fitness apps, video games, email, and
digital community or groups. In the other category was found
records and data management software or platforms
interactive and cognitive assistants telephone services
websites and online platforms, exercise and educational
content (Table 2).
In relation to the health objective and the condition under
study, for chronic diseases, the most prevalent objective was
treatment (76.1%), for fragility was prevention (63.2%),
whereas for infectious diseases, it is monitoring/follow-up
(83.3%). Meanwhile, prevention and monitoring/follow-up
highlight their primary objective in the case of healthy aging
and quality of life (69.1% and 60.0%, respectively). The category
named other is not described due to the diversity of
situations. Figure 2.
When the year of publication and type of device studied were
analyzed (Figure 3), it was found that over the years, there is a
FIGURE 2 | Summary of characteristics of included documents according to Population, Context, Concept (PCC) model (Worldwide, 2022).
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 16077568
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
noticeableincreaseintheuseoftelephones, especially in the
recent period from 2020 to 2022, suggesting a massive adoption
of this technology in the analyzed studies (mostly driven by cell
phone and smartphone). The use of desktop or laptop
computers remains constant over the years, with significant
peaks around 2011 and 2022. Activity monitors and sensors
show an increasing trend from 2010 onwards, indicating a rise
in the analysis of these technologies, particularly in the years
2015, 2017, and 2021. There is a sustained use of telehealth
devices over the years, with a notable increase in 2022, possibly
reflecting the response to the COVID-19 pandemic and the need
for remote health solutions.
Figure 4 illustrates the utilization of various technological
devices across different health objectives, including promotion,
prevention, diagnosis, treatment, monitoring/follow-up, and
rehabilitation. Telephones and computers are the most used
devices for all health objectives analyzed. However, in the case
of promotion, video game consoles (31.4%) and wearables
(27.9%) also have a significant presence. For prevention and
diagnosis, sensors and positioning systems (32.8% and 28.8%,
respectively) and wearables (26.4% and 28.8%, respectively) are
also prominent. In the case of therapy or treatment, Tablets rank
third (26.0%). For monitoring/follow-up, wearable activity
monitors (31.3%) and sensors and positioning systems (25.3%)
are also considered important, and finally, for rehabilitation,
interactive TV (22.9%) is significant. Overall, the figure
highlights the diverse roles of these devices in healthcare, with
some being more versatile and widely used across
multiple functions.
The frequency and distribution of technological devices across
multiple diseases, highlights the prominent role of telephones and
computers. The data reveals that these devices are extensively
used to address chronic diseases (62.8% and 42.2%, respectively),
fragility (46.5% and 43.0%) and mental health issues (64.0% and
46.7%). Infectious diseases show same proportion for telephones,
computers and Tablets (50.0%, each one). Additionally,
telephones show the highest usage for sensory impairments
(87.5%). Tablets, wearables and sensors also play a vital role,
particularly in neurological conditions (30.7%, 20.8%, and 21.8%)
and healthy aging (20.0%, 20.0%, and 25.5%).
DISCUSSION
There has been an exponential increase in the number of
publications on digital health and elderly in recent years.
Interventions mainly targeted older adults and healthcare
professionals, focusing on chronic conditions, frailty, and
neurological diseases. Most studies originated from high-
income countries, primarily in Europe and Central Asia, with
home being the main application context. Technological
development was mostly in the testing and validation stages,
with fewer in implementation and scalability. The main objectives
were monitoring/follow-up, prevention, and treatment.
Interventions focused on directed communication and
personal health monitoring for individuals, and telemedicine
and decision support for healthcare providers. Throughout the
period analyzed, telephones and computers were the most used
devices, with videoconferencing and text/audio messaging being
the most common software. Over the past decade, there has been
an increase in the study of wearables, sensors and positioning
systems, and a significant rise in telemedicine in 2022, likely due
to the COVID-19 pandemic, highlighting the growing adoption
of health technologies and positive trends in reported outcomes.
By 2050, 80% of older people will be living in low- and middle-
income countries [1]. Despite this, this study found that most
technologies designed to assist the elderly are developed and
tested in high-income countries. To enhance access to health
FIGURE 3 | Number of documents by year of publication and type of device studied (Worldwide, 2022).
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 16077569
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
services for the elderly, it is important to ensure that these
technological solutions are available and accessible where most
of this population will reside.
An interesting finding were the context in which the studies
were conducted, with 76% stating home as their setting, well
above healthcare facilities or elderly residences. This aligns closely
with older adults’preferences to stay in their own homes for as
long as possible [436,437]. In this context, digital health, such as
receiving remote care, and preparing homes as smart homes, can
become a significant ally in supporting elderly to remain in their
homes, helping live as independently as possible.
Most documents indicated some level of development,
specifically, in testing and validation. These findings suggest a
robust pipeline of technological innovations but also raise
questions about their maturity and evaluation. The predominance
of projects in the testing and validation phase implies many
innovations are still in their early stages and may not have
demonstrated efficacy in long-term, real-world environments.
This focus on early stages suggests a landscape where
technologies are frequently conceptualized and prototyped, but
fewer are rigorously evaluated and scaled. It is essential to
scrutinize whether these technologies are primarily tested with
commercial intentions without thorough evaluations of their
long-term impact and effectiveness. Moving forward, it is crucial
to emphasize comprehensive evaluation and scalability to ensure
technological advancements transition from promising prototypes
to impactful solutions that withstandreal-worldapplication.
One of the key findings is the high number of interventions
targeting chronic diseases focusing on treatment. This indicates a
strong emphasis on managing long-term conditions through
continuous treatment and monitoring, showcasing the
potential of technology to support chronic disease
management effectively. For neurological diseases, documents
emphasize monitoring/follow-up. This suggests a critical role for
technology in tracking disease progression and patient status,
which is essential for conditions that require constant observation
and timely intervention. Mental health conditions showed a
similar trend, focusing on monitoring/follow-up. This
highlights the importance of sustained surveillance in mental
health to provide timely support and intervention, reflecting the
need for persistent engagement and assessment in mental
healthcare. When examining interventions for fragility
conditions, most documents aimed at prevention. This
underscores the proactive approach necessary in addressing
issues related to frailty, emphasizing the role of technology in
preventing falls, improving balance, and maintaining overall
health among the elderly. In the same way, healthy aging and
quality of life are more related to prevention, highlights the
potential of technology to enhance the quality of life and
health outcomes for the aging population, aiming to delay the
onset of age-related issues and promote wellness. In any case, all
the conditions studied show, to a greater or lesser extent, potential
for the use of digital technologies for each of the health objectives.
This diversity indicates the multifaceted role of technology in
managing any condition, from early detection to comprehensive
care and education.
Digital health interventions aimed at treatments, including
virtual reality, images, videos, and app prescriptions, do not
currently have a corresponding category within the existing
WHO framework [14]. However, for those digital
FIGURE 4 | Proportion of documents by health objective and hardware (Worldwide, 2022).
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 160775610
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
interventions with a therapeutic purpose, this classification might
need to be reviewed to include a category or type of application or
system related to this purpose, likely within the “Services and
Application Types”section. Including such a category or type
dimension would enhance our understanding of digital health
applications’scope and highlight the potential of emerging
technologies to address health treatment and management
challenges more effectively with innovative and patient-
centered solutions. We have submitted this proposal to WHO
through the respective form.
It is important to consider the increasing integration of
technology in elderly daily lives, recognizing the growing
familiarity and comfort of the aging population with
technological tools. As today’s older adults have a greater
proficiency with technology, their use of digital health
interventions is expected to continue rising [438]. This shift
presents opportunities to enhance health outcomes through
personalized, accessible, and efficient care. However, it also
underscores the need for tailored solutions that address the
unique needs and preferences of older adults, ensuring that
digital health tools are user-friendly and effectively support
their health and wellbeing. Healthcare systems will
increasingly need to consider these findings to design and
implement effective digital health policies for older adults,
overcoming various barriers to accessing healthcare services
and digital health for this population group.
The evidence in this area is expanding quickly, not only
thanks to rapid advances in technology, but also due to the
global aging population and a rising interest in meeting the
health and quality-of-life needs of elderly. There is very recent
literature on this topic [439–441]; however, these studies
primarily focus on specific conditions or isolated contexts. In
contrast, this review offers a comprehensive approach, while
addressing a wide range of technologies, health conditions and
diverse contexts for older adults and their caregivers. This
broader scope offers a more comprehensive understanding,
addressing key gaps in the existing body of research and
providing a crucial foundation for designing interventions
and strategies that effectively respond to the complex and
interconnected needs of these populations.
However, this study has limitations. Since assessing the quality
of the evidence is optional in this type of reviews, low-quality
studies are not identified. Detailed information on types of
telephones and caregivers was also lacking due to incomplete
data in the documents. Additionally, the impact of age is an aspect
that warrants special consideration, as it helps to explain the
growing number of studies in this area. Elderly individuals are
increasingly becoming familiar with technology, which reflects an
important shift in their interaction with digital health solutions.
Few publications exclusively address caregivers of elderly, even
though globally, many people provide care for family members
with chronic illnesses, disabilities, or aging-related needs. High-
income regions, despite having more developed and
institutionalized care systems, also rely on family caregivers
[442,443]. A study found that over 50% of elderly (OECD
countries) preferred family care over formal help, influenced
by socioeconomic level and cultural values [444]. In Latin
America and the Caribbean, the caregiving burden is especially
significant, with family members, particularly women,
shouldering most responsibilities, often involving extensive
unpaid work. This demanding role often results in high levels
of stress, burnout, and health issues among caregivers,
underscoring the urgent need for enhanced support and
resources tailored to family caregivers in these regions [445].
Finally, the high proportion of documents presenting positive
results (86.9%), is consistent with the literature trend where
positive results are much more represented than negative ones,
indicating a potential publication bias [446]. This, among other
issues related to underreporting negative results, introduces bias
in analyses and misinforms researchers and, consequently,
decision-makers.
Conclusion
Increasing integration of technology in older adults’lives, along
with their increasing proficiency, is driving a significant rise in
digital health interventions. Despite this growth, further research
in middle- and low-income countries, for caregivers and
evaluating effectiveness and feasibility of these technological
interventions is needed. The future of digital health for elderly
population, caregivers and healthcare professionals presents
challenges that must be addressed to realize its full potential.
One major issue is accessibility, as these technologies evolve it will
be essential ensuring that they are user-friendly and inclusive for
all older adults, regardless of their technical skills. Data privacy
and security also become critical concerns as more personal
health information is shared through digital platforms,
demanding robust protections to build and maintain trust among
users. Additionally, healthcare providers will face the challenge of
integrating digital health tools effectively within traditional care
settings, which may require new training and adaptation to
evolving workflows. Finally, supporting caregivers and family
members in adopting these technologies could be complex, as
they often have diverse needs and limited time. Addressing these
challenges will be key to harnessing the power of digital health to
improve care and quality of life for aging populations.
AUTHOR CONTRIBUTIONS
Conceptualization: AJ, MM, XM, and MH-A; Search: AJ, MM,
MH-A, XM, and MT-A; Selection: AJ, AO, XM, MH-A, IM, CC-
L, CA, PR, OU, TA, FS, and SE; Extraction: AO, CA, CC-L, MH-
A, PR, OU, FS, and XM. Manuscript: AO, AJ, MM, MH-A, IM,
CC-L, CA, TA, FS, SE, PR, MT-A, OU, and XM. All authors
contributed to the article and approved the submitted version.
FUNDING
The author(s) declare that financial support was received for the
research, authorship, and/or publication of this article. The
financial support for this manuscript was provided by the
Dirección de Investigación y Doctorados at Universidad del
Desarrollo.
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 160775611
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
CONFLICT OF INTEREST
The authors declare that the research was conducted in the
absence of any commercial or financial relationships that
could be construed as a potential conflict of interest.
ACKNOWLEDGMENTS
We would like to thank Jenifer Putz, librarian at the
Faculty of Medicine, Clínica Alemana Universidad del
Desarrollo, for her assistance in retrieving scientific
articles throughout the review process. ChatGPT 4o was
used as an English check in some paragraphs and to
summarize others.
SUPPLEMENTARY MATERIAL
The Supplementary Material for this article can be found online at:
https://www.ssph-journal.org/articles/10.3389/phrs.2024.1607756/
full#supplementary-material
REFERENCES
1. World Health Organization. Ageing and Health (2022). Available from:
https://www.who.int/news-room/fact-sheets/detail/ageing-and-health
(Accessed November 14, 2022).
2. Riffin C, Van Ness PH, Iannone L, Fried T. Patient and Caregiver
Perspectives on Managing Multiple Health Conditions HHS Public
Access. J Am Geriatr Soc (2018) 66(10):1992–7. doi:10.1111/jgs.1550
3. Weiss EF, Malik R, Santos T, Ceide M, Cohen J, Verghese J, et al. Telehealth
for the Cognitively Impaired Older Adult and Their Caregivers: Lessons
From a Coordinated Approach. Neurodegener Dis Manag (2021) 11(1):83–9.
doi:10.2217/nmt-2020-0041
4. Piette JD, Striplin D, Marinec N, Chen J, Trivedi RB, Aron DC, et al. A Mobile
Health Intervention Supporting Heart Failure Patients and Their Informal
Caregivers: A Randomized Comparative Effectiveness Trial. J Med Internet
Res (2015) 17(6):e142. doi:10.2196/jmir.4550
5. Organización Mundial de la Salud. WHO Guideline: Recommendations on
Digital Interventions for Health System Strengthening (2019). Available
from: https://www.who.int/publications/i/item/9789241550505 (Accessed
November 14, 2022).
6. Rivoir A, Morales MJ, Casamayou A. Usos y Percepciones de las Tecnologías
Digitales en Personas Mayores. Limitaciones y Beneficios para su Calidad de
Vida. Revista Austral de Ciencias Sociales (2019) 36:295–313. doi:10.4206/rev.
austral.cienc.soc.2019.n36-15
7. Evans DB, Hsu J, Boerma T. Universal Health Coverage and Universal
Access. Bull World Health Organ (2013) 91(8):546–A. doi:10.2471/BLT.13.
125450
8. World Health Organization (WHO). The Seventy-First World Health
Assembly. Digital health (2018) 4.
9. Evangelista L, Steinhubl SR, Topol EJ. Digital Health Care for Older Adults.
The Lancet (2019) 393(10180):1493. doi:10.1016/S0140-6736(19)30800-1
10. Peters M, Godfrey C, McInerney P, Munn Z, Tricco A, Khalil H. In:
Aromataris E, Munn Z, editors. Chapter 11: Scoping Reviews
(2020 Version). JBI Manual for Evidence Synthesis (2020). Available from:
https://synthesismanual.jbi.global (Accessed June 12, 2024).
11. Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al.
PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and
Explanation. Ann Intern Med (2018) 169:467–73. doi:10.7326/M18-0850
12. Organización Mundial de la Salud (OMS). Envejecimiento y Salud. World
Health Organization (2024). Available from: https://www.who.int/es/news-
room/fact-sheets/detail/ageing-and-health (Accessed February 2, 2020).
13. Peters MDJ, Godfrey CM, Khalil H, McInerney P, Parker D, Soares CB.
Guidance for Conducting Systematic Scoping Reviews. Int J Evid Based
Healthc (2015) 13:141–6. doi:10.1097/XEB.0000000000000050
14. World Health Organization. Classification of Digital Interventions, Services
and Applications in Health. In: A Shared Language to Describe the Uses of
Digital Technology for Health. 2nd ed. (2023). Available from: https://iris.
who.int/bitstream/handle/10665/373581/9789240081949-eng.pdf?
sequence=1 (Accessed February 29, 2024).
15. Bhattacharya S, Kumar V, Narayan NS. Technology Readiness Level: An
Assessment of the Usefulness of This Scale for Translational Research.
Productivity (2022) 62(2):106–18. doi:10.32381/PROD.2021.62.02.2
16. Burdese E, Testa M, Raucci P, Ferreri C, Giovannini G, Lombardo E, et al.
Usefulness of a Telemedicine Program in Refractory Older Congestive
Heart Failure Patients. Diseases (2018) 6(1):10. doi:10.3390/
diseases6010010
17. Tomita MR, Mann WC, Stanton K, Tomita AD, Sundar V, Stanton M. Use of
Currently Available Smart Home Technology by Frail Elders Process and
Outcomes. Top Geriatr Rehabil (2007) 23(1):24–34. doi:10.1097/00013614-
200701000-00005
18. Blanson Henkemans OA, Rogers WA, Fisk AD, Neerincx MA, Lindenberg
J, Van Der Mast CAPG. Usability of an Adaptive Computer Assistant That
Improves Self-Care and Health Literacy of Older Adults. Methods Inf Med
(2008) 47:82–8. doi:10.3414/me9105
19. Harerimana B, Forchuk C, O’Regan T. The Use of Technology for Mental
Healthcare Delivery Among Older Adults With Depressive Symptoms: A
Systematic Literature Review. Int J Ment Health Nurs (2019) 28:657–70.
doi:10.1111/inm.12571
20. Kim J, Son J, Ko N, Yoon B. Unsupervised Virtual Reality-Based Exercise
Program Improves Hip Muscle Strength and Balance Control in Older
Adults: A Pilot Study. Arch Phys Med Rehabil (2013) 94(5):937–43.
doi:10.1016/j.apmr.2012.12.010
21. Barrett D. The Role of Telemonitoring in Caring for Older People With Long-
Term Conditions. Nurs Old People (2012) 24(7):21–5. doi:10.7748/nop2012.
09.24.7.21.c9257
22. Hee CHo G, HwanGbo G, Soo SHin H. The Effects of Virtual Reality-Based
Balance Training on Balance of the Elderly. Phys Ther Sci (2014) 26(4):615–7.
doi:10.1589/jpts.26.615
23. Park EC, Kim SG, Lee CW. The Effects of Virtual Reality Game Exercise on
Balance and Gait of the Elderly. Phys Ther Sci (2015) 27(4):1157–9. doi:10.
1589/jpts.27.1157
24. Larsen LH, Schou L, Lund HH, Langberg H, The Physical Effect of Exergames
in Healthy Elderly - A Systematic Review. Games Health J (2013). 2, 205–12.
doi:10.1089/g4h.2013.0036
25. Jung H, Lee JE. The Impact of Community-Based eHealth Self-Management
Intervention Among Elderly Living Alone With Hypertension. J Telemed
Telecare (2017) 23(1):167–73. doi:10.1177/1357633X15621467
26. Nakamura K, Takano T, Akao C. The Effectiveness of Videophones in Home
Healthcare for the Elderly. Care (1999) 37:117–25. doi:10.1097/00005650-
199902000-00002
27. Bainbridge E, Bevans S, Keeley B, Oriel K. The Effects of the Nintendo Wii Fit
on Community-Dwelling Older Adults With Perceived Balance Deficits: A
Pilot Study. Phys Occup Ther Geriatr (2011) 29(2):126–35. doi:10.3109/
02703181.2011.569053
28. Rendon AA, Lohman EB, Thorpe D, Johnson EG, Medina E, Bradley B. The
Effect of Virtual Reality Gaming on Dynamic Balance in Older Adults. Age
Ageing (2012) 41(4):549–52. doi:10.1093/ageing/afs053
29. Teixeira E, Fonseca H, Diniz-Sousa F, Veras L, Boppre G, Oliveira J, et al.
Wearable Devices for Physical Activity and Healthcare Monitoring in Elderly
People: A Critical Review. Geriatrics (Basel) (2021) 6:38, doi:10.3390/
geriatrics6020038
30. Barnett TE, Chumbler NR, Bruce Vogel W, Beyth RJ, Qin H, Kobb R. The
Effectiveness of a Care Coordination Home Telehealth Program for Veterans
With Diabetes Mellitus: A 2-Year Follow-Up. Am J Manag Care (2006) 12(8):
467–74.
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 160775612
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
31. Franco JR, Jacobs K, Inzerillo C, Kluzik J. The Effect of the Nintendo Wii Fit
and Exercise in Improving Balance and Quality of Life in Community
Dwelling Elders. Tech Health Care (2012) 20:95–115. doi:10.3233/THC-
2011-0661
32. Williams B, Doherty NL, Bender A, Mattox H, Tibbs JR. The Effect of
Nintendo Wii on Balance: A Pilot Study Supporting the Use of the Wii in
Occupational Therapy for the Well Elderly. Occup Ther Health Care (2011)
25(2–3):131–9. doi:10.3109/07380577.2011.560627
33. Kim H, Jhoo JH, Jang JW. The Effect of Telemedicine on Cognitive Decline in
Patients With Dementia. J Telemed Telecare (2017) 23(1):149–54. doi:10.
1177/1357633X15615049
34. Guderian B, Borreson A, Sletten LE, Cable K, Stecker P, Probst MA, et al.
The Cardiovascular and Metabolic Responses to Wii Fit Video Game
Playing in Middle-Aged and Older Adults. Sports Med Phys Fitness
(2010) 50:436–42.
35. Daniel K. Wii-Hab for Pre-frail Older Adults. Rehabil Nurs (2012) 37(4):
195–201. doi:10.1002/rnj.25
36. Toulotte C, Toursel C, Olivier N. Wii Fit®Training vs. Adapted Physical
Activities: Which One Is the Most Appropriate to Improve the Balance of
Independent Senior Subjects? A Randomized Controlled Study. Clin Rehabil
(2012) 26(9):827–35. doi:10.1177/0269215511434996
37. Wasilewski MB, Stinson JN, Cameron JI. Web-Based Health Interventions
for Family Caregivers of Elderly Individuals: A Scoping Review. Int J Med
Inform (2017) 103:109–38. doi:10.1016/j.ijmedinf.2017.04.009
38. Hsieh WM, Chen CC, Wang SC, Tan SY, Hwang YS, Chen SC, et al. Virtual
Reality System Based on Kinect for the Elderly in Fall Prevention. Tech Health
Care (2014) 22(1):27–36. doi:10.3233/THC-130769
39. Molina KI, Ricci NA, De Moraes SA, Perracini MR. Virtual Reality Using Games
for Improving Physical Functioning in Older Adults: A Systematic Review.
J NeuroEngineering Rehabil (2014) 11:156. doi:10.1186/1743-0003-11-156
40. Pietrzak E, Cotea C, Pullman S. Using Commercial Video Games for Falls
Prevention in Older Adults: The Way for the Future? J Geriatr Phys Ther
(2014). 37:166–77.
41. Kruse C, Fohn J, Wilson N, Patlan EN, Zipp S, Mileski M. Utilization Barriers
and Medical Outcomes Commensurate With the Use of Telehealth Among
Older Adults: Systematic Review. JMIR Med Inform (2020) 8(8):e20359.
doi:10.2196/20359
42. Chatterjee S, Byun J, Pottathil A, Moore MN, Dutta K, Qi H, et al. Persuasive
Sensing: A Novel in-Home Monitoring Technology to Assist Elderly Adult
Diabetic Patients. Springer (2012). p. 31–42.
43. Maust DT, Mavandadi S, Benson A, Streim JE, DiFilippo S, Snedden T, et al.
Telephone-Based Care Management for Older Adults Initiated on
Psychotropic Medication. Int J Geriatr Psychiatry (2013) 28(4):410–6.
doi:10.1002/gps.3839
44. Brignell M, Wootton R, Gray L. The Application of Telemedicine to Geriatric
Medicine. Age and Ageing (2007) 36:369–74. doi:10.1093/ageing/afm045
45. Salles N, Baudon MP, Caubet C, Dallay F, Chaleuil M, Magne S, et al.
Telemedicine Consultations for the Elderly With Chronic Wounds,
Especially Pressure Sores. Eur Res Telemed (2013) 2(3–4):93–100. doi:10.
1016/j.eurtel.2013.06.001
46. Forducey PG, Glueckauf RL, Bergquist TF, Maheu MM, Yutsis M. Telehealth
for Persons With Severe Functional Disabilities and Their Caregivers:
Facilitating Self-Care Management in the Home Setting. Psychol Serv
(2012) 9(2):144–62. doi:10.1037/a0028112
47. Hamilton T, Johnson L, Quinn BT, Coppola J, Sachs D, Migliaccio J, et al.
Telehealth Intervention Programs for Seniors: An Observational Study of a
Community-Embedded Health Monitoring Initiative. Telemed e-Health
(2020) 26(4):438–45. doi:10.1089/tmj.2018.0248
48. Czaja SJ, Rubert MP. Telecommunications Technology as an Aid to Family
Caregivers of Persons With Dementia. Psychosom Med (2002) 64:469–76.
doi:10.1097/00006842-200205000-00011
49. Williams KN, Perkhounkova Y, Shaw CA, Hein M, Vidoni ED, Coleman CK.
Supporting Family Caregivers With Technology for Dementia Home Care: A
Randomized Controlled Trial. Innov Aging (2019) 3(3):igz037. doi:10.1093/
geroni/igz037
50. Webster D, Celik O. Systematic Review of Kinect Applications in Elderly Care
and Stroke Rehabilitation. J NeuroEng Rehabil (2014) 11:108. doi:10.1186/
1743-0003-11-108
51. Kim BYB, Lee J. Smart Devices for Older Adults Managing Chronic Disease:
A Scoping Review, JMIR Mhealth Uhealth (2017) 5:e69, doi:10.2196/mhealth.
7141
52. Harbig P, Barat I, Damsgaard EM. Suitability of an Electronic Reminder
Device for Measuring Drug Adherence in Elderly Patients With Complex
Medication. J Telemed Telecare (2012) 18(6):352–6. doi:10.1258/jtt.2012.
120120
53. De Leo D, Buono Dello M, Dwyer J. Suicide Among the Elderly: The Long-
Term Impact of a Telephone Support and Assessment Intervention in
Northern Italy. Br J Psychiatry (2002) 181:226–9. doi:10.1192/bjp.181.3.226
54. Keogh JWL, Power N, Wooller L, Lucas P, Whatman C. Physical and
Psychosocial Function in Residential Aged-Care Elders: Effect of
Nintendo Wii Sports Games. J Aging Phys Act (2014) 22(2):235–44.
doi:10.1123/japa.2012-0272
55. Regterschot GRH, Folkersma M, Zhang W, Baldus H, Stevens M, Zijlstra W.
Sensitivity of Sensor-Based Sit-To-Stand Peak Power to the Effects of
Training Leg Strength, Leg Power and Balance in Older Adults. Gait
Posture (2014) 39(1):303–7. doi:10.1016/j.gaitpost.2013.07.122
56. Anderson-Hanley C, Snyder AL, Nimon JP, Arciero PJ. Social Facilitation in
Virtual Reality-Enhanced Exercise: Competitiveness Moderates Exercise
Effort of Older Adults. Clin Interv Aging (2011) 6(1):275–80. doi:10.2147/
CIA.S25337
57. Kuwahara N, Yasuda K, Tetsutani N, Morimoto K. Remote Assistance for
People With Dementia at Home Using Reminiscence Systems and a
Schedule Prompter. Int J Comput Healthc (2010) 1:126. doi:10.1504/ijcih.
2010.037458
58. Vincent C, Reinharz D, Deaudelin I, Garceau M, Talbot LR. Public
Telesurveillance Service for Frail Elderly Living at Home, Outcomes and
Cost Evolution: A Quasi Experimental Design With Two Follow-Ups. Health
Qual Life Outcomes (2006) 4:41. doi:10.1186/1477-7525-4-41
59. Campbell AJ, Robertson MC, La Grow SJ, Kerse NM, Sanderson GF, Jacobs
RJ, et al. Randomised Controlled Trial of Prevention of Falls in People Aged >
or =75 With Severe Visual Impairment: The VIP Trial. Br Med J (2005)
331(7520):817–20. doi:10.1136/bmj.38601.447731.55
60. Wollersheim D, Merkes M, Shields N. Physical and Psychosocial Effects of
Wii Video Game Use Among Older Women. Aust J Emerging Tech Soc (2010)
8(2):85–98. Available from: https://www.researchgate.net/publication/
232613430 (Accessed June 1, 2023).
61. Gellis ZD, Kenaley B, McGinty J, Bardelli E, Davitt J, Ten Have T. Outcomes
of a Telehealth Intervention for Homebound Older Adults With Heart or
Chronic Respiratory Failure: A Randomized Controlled Trial. Gerontologist
(2012) 52(4):541–52. doi:10.1093/geront/gnr134
62. Tetley J, Hanson E, Clarke A. Older People, Telematics and Care. In: Warnes T,
Warren L, Nolan M editors. Care Services for Later Life: Transformations and
Critiques. London, UK: Jessica Kinglsey (2001). p. 243–58.
63. Sun C, Sun L, Xi S, Zhang H, Wang H, Feng Y, et al. Mobile Phone–Based
Telemedicine Practice in Older Chinese Patients With Type 2 Diabetes
Mellitus: Randomized Controlled Trial. JMIR Mhealth Uhealth (2019)
7(1):e10664. doi:10.2196/10664
64. Joe J, Demiris G. Older Adults and Mobile Phones for Health: A Review.
J Biomed Inform (2013) 46:947–54. doi:10.1016/j.jbi.2013.06.008
65. Sun R, Sosnoff JJ. Novel Sensing Technology in Fall Risk Assessment in Older
Adults: A Systematic Review. BMC Geriatr (2018) 18:14. doi:10.1186/s12877-
018-0706-6
66. Quinn CC, Khokhar B, Weed K, Barr E, Gruber-Baldini AL. Older Adult Self-
Efficacy Study of Mobile Phone Diabetes Management. Diabetes Technol
Ther (2015) 17(7):455–61. doi:10.1089/dia.2014.0341
67. Forsetlund L, Bjørndal A, Rashidian A, Jamtvedt G, O’Brien MA, Wolf F,
et al. Continuing Education Meetings and Workshops: Effects on
Professional Practice and Health Care Outcomes. Cochrane Database Syst
Rev (2009) 2009:CD003030. doi:10.1002/14651858.CD003030.pub2
68. Chen PY, Wei SH, Hsieh WL, Cheen JR, Chen LK, Kao CL. Lower Limb
Power Rehabilitation (LLPR) Using Interactive Video Game for
Improvement of Balance Function in Older People. Arch Gerontol Geriatr
(2012) 55(3):677–82. doi:10.1016/j.archger.2012.05.012
69. Kamimura T, Ishiwata R, Inoue T. Medication Reminder Device for the
Elderly Patients With Mild Cognitive Impairment. Am J Alzheimers Dis Other
Demen (2012) 27(4):238–42. doi:10.1177/1533317512450066
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 160775613
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
70. Center for Technology and Aging. mHealth Technologies: Applications to
Benefit Older Adults. 2011.
71. Tamura T, Yonemitsu S, Itoh A, Oikawa D, Kawakami A, Higashi Y, et al. Is
an Entertainment Robot Useful in the Care of Elderly People With Severe
Dementia? J Gerontol A Biol Sci Med Sci (2004) 59:83–5. doi:10.1093/gerona/
59.1.m83
72. Dear BF, Zou J, Titov N, Lorian C, Johnston L, Spence J, et al. Internet-
Delivered Cognitive Behavioural Therapy for Depression: A Feasibility Open
Trial for Older Adults. Aust New Zealand J Psychiatry (2013) 47(2):169–76.
doi:10.1177/0004867412466154
73. Wu YH, Faucounau V, De Rotrou J, Riguet M, Rigaud AS. Intervention
Psychosociale Auprès d’Aidants Familiaux de Patients Atteints de la Maladie
d’Alzheimer et Technologies de l’Information et de la Communication: Une
Revue de la Littérature. Psychol NeuroPsychiatrie du Vieillissement (2009)
7(3):185–92.
74. Chopik WJ. The Benefits of Social Technology Use Among Older Adults Are
Mediated by Reduced Loneliness. Cyberpsychol Behav Soc Netw (2016) 19(9):
551–6. doi:10.1089/cyber.2016.0151
75. Jorgensen MG, Laessoe U, Hendriksen C, Nielsen OBF, Aagaard P. Efficacy of
Nintendo Wii Training on Mechanical Leg Muscle Function and Postural
Balance in Community-Dwelling Older Adults: A Randomized Controlled
Trial. Journals Gerontol - Ser A Biol Sci Med Sci (2013) 68(7):845–52. doi:10.
1093/gerona/gls222
76. Siegel C, Dorner TE. Information Technologies for Active and Assisted
Living—Influences to the Quality of Life of an Ageing Society. Int J Med
Inform (2017) 100:32–45. doi:10.1016/j.ijmedinf.2017.01.012
77. Kaye JA, Maxwell SA, Mattek N, Hayes TL, Dodge H, Pavel M, et al.
Intelligent Systems for Assessing Aging Changes: Home-Based,
Unobtrusive, and Continuous Assessment of Aging. J Gerontol B Psychol
Sci Soc Sci (2011) 66(Suppl. 1):i180–i190. doi:10.1093/geronb/gbq095
78. Cotten SR, Anderson WA, McCullough BM. Impact of Internet Use on
Loneliness and Contact With Others Among Older Adults: Cross-Sectional
Analysis. J Med Internet Res (2013) 15(2):e39. doi:10.2196/jmir.2306
79. Barnason S, Zimmerman L, Schulz P, Tu C. Influence of an Early Recovery
Telehealth Intervention on Physical Activity and Functioning After Coronary
Artery Bypass Surgery Among Older Adults With High Disease Burden.
Heart Lung J Acute Crit Care (2009) 38(6):459–68. doi:10.1016/j.hrtlng.2009.
01.010
80. Sato K, Kuroki K, Saiki S, Nagatomi R. Improving Walking, Muscle Strength,
and Balance in the Elderly with an Exergame Using Kinect: A Randomized
Controlled Trial. Games Health J (2015) 4(3):161–7. doi:10.1089/g4h.2014.
0057
81. Barnason S, Zimmerman L, Nieveen J, Schulz P, Miller C, Hertzog M, et al.
Influence of a Symptom Management Telehealth Intervention on Older
Adults’Early Recovery Outcomes After Coronary Artery Bypass Surgery.
Heart Lung J Acute Crit Care (2009) 38(5):364–76. doi:10.1016/j.hrtlng.2009.
01.005
82. Trief PM, Teresi JA, Eimicke JP, Shea S, Weinstock RS. Improvement in
Diabetes Self-Efficacy and Glycaemic Control Using Telemedicine in a
Sample of Older, Ethnically Diverse Individuals Who Have Diabetes: The
IDEATel Project. Age Ageing (2009) 38(2):219–25. doi:10.1093/ageing/
afn299
83. Bernocchi P, Vitacca M, La Rovere MT, Volterrani M, Galli T, Baratti D, et al.
Home-Based Telerehabilitation in Older Patients With Chronic Obstructive
Pulmonary Disease and Heart Failure: A Randomised Controlled Trial. Age
Ageing (2018) 47(1):82–8. doi:10.1093/ageing/afx146
84. Pecina JL, Hanson GJ, Van Houten H, Takahashi PY. Impact of
Telemonitoring on Older Adults Health-Related Quality of Life: The Tele-
ERA Study. Qual Life Res (2013) 22(9):2315–21. doi:10.1007/s11136-013-
0361-5
85. Madigan E, Schmotzer BJ, Struk CJ, DiCarlo CM, Kikano G, Piña IL, et al.
Home Health Care With Telemonitoring Improves Health Status for Older
Adults With Heart Failure. Home Health Care Serv Q (2013) 32(1):57–74.
doi:10.1080/01621424.2012.755144
86. Ludwig W, Wolf KH, Duwenkamp C, Gusew N, Hellrung N, Marschollek M,
et al. Health-Enabling Technologies for the Elderly - An Overview of Services
Based on a Literature Review. Comput Methods Programs Biomed (2012)
106(2):70–8. doi:10.1016/j.cmpb.2011.11.001
87. Caljouw SR, Vuijk PJ, Lamoth C. Exergaming: Interactive Balance Training in
Healthy Community-Dwelling Older Adults (2011). Available from: https://
www.researchgate.net/publication/51994865 (Accessed August 16, 2023).
88. Salles N, Lafargue A, Cressot V, Glenisson L, Barateau M, Thiel E, et al. Global
Geriatric Evaluation Is Feasible during Interactive Telemedicine in Nursing
Homes. Eur Res Telemed (2017) 6(2):59–65. doi:10.1016/j.eurtel.2017.06.002
89. Grindrod KA, Li M, Gates A. Evaluating User Perceptions of Mobile
Medication Management Applications With Older Adults: A Usability
Study. JMIR Mhealth Uhealth (2014) 2(1):e11. doi:10.2196/mhealth.3048
90. Van Diest M, Lamoth CJ, Stegenga J, Verkerke GJ, Postema K. Exergaming
for Balance Training of Elderly: State of the Art and Future Developments.
J NeuroEngineering Rehabil (2013) 10:101. doi:10.1186/1743-0003-10-101
91. Rosenberg D, Depp CA, Vahia IV, Reichstadt J, Palmer BW, Kerr J, et al.
Exergames for Subsyndromal Depression in Older Adults: A Pilot Study of a
Novel Intervention. Am J Geriatr Psychiatry (2010) 18(3):221–6. doi:10.1097/
JGP.0b013e3181c534b5
92. Brox E, Luque LF, Evertsen GJ, Hernandez JEG. Exergames for Elderly: Social
Exergames to Persuade Seniors to Increase Physical Activity. In: 2011 5th
International Conference on Pervasive Computing Technologies for
Healthcare (PervasiveHealth) and Workshops, Dublin, Ireland, May
23–26, 2011 (IEEE) (2011). p. 546–9.
93. Upton D, Upton P, Jones T, Jutlla K, Brooker D. Evaluation of the Impact of
Touch Screen Technology on People With Dementia and Their Caregivers
Within Care Home Settings. 2011.
94. Maseda A, Millán-Calenti JC, Lorenzo-López L, Núñez-Naveira L. Efficacy of
a Computerized Cognitive Training Application for Older Adults With and
Without Memory Impairments. Aging Clin Exp Res (2013) 25(4):411–9.
doi:10.1007/s40520-013-0070-5
95. Rodrigues E, Valderramas S, Rossetin L, Gomes AR. Effects of Video Game
Training on the Musculoskeletal Function of Older Adults: A Systematic
Review and Meta-Analysis. Top Geriatr Rehabil (2014) 30(4):238–45. doi:10.
1097/tgr.0000000000000040
96. Hagedorn DK, Holm E. Effects of Traditional Physical Training and Visual
Computer Feedback Training in Frail Elderly Patients. A Randomized
Intervention Study. Eur J Phys Rehabil Med (2010) 46:159–68.
97. Geraedts H, Zijlstra A, Bulstra SK, Stevens M, Zijlstra W. Effects of Remote
Feedback in Home-Based Physical Activity Interventions for Older Adults: A
Systematic Review. Patient Educ Couns (2013) 91:14–24. doi:10.1016/j.pec.
2012.10.018
98. Maillot P, Perrot A, Hartley A. Effects of Interactive Physical-Activity Video-
Game Training on Physical and Cognitive Function in Older Adults. Psychol
Aging (2012) 27(3):589–600. doi:10.1037/a0026268
99. Lai CH, Peng CW, Chen YL, Huang CP, Hsiao YL, Chen SC. Effects of
Interactive Video-Game Based System Exercise on the Balance of the Elderly.
Gait Posture (2013) 37(4):511–5. doi:10.1016/j.gaitpost.2012.09.003
100. Muellmann S, Forberger S, Möllers T, Bröring E, Zeeb H, Pischke CR.
Effectiveness of eHealth Interventions for the Promotion of Physical
Activity in Older Adults: A Systematic Review. Prev Med (2018) 108:
93–110. doi:10.1016/j.ypmed.2017.12.026
101. Changizi M, Kaveh MH. Effectiveness of the mHealth Technology in
Improvement of Healthy Behaviors in an Elderly Population—A
Systematic Review. Mhealth (2017) 3:51. doi:10.21037/mhealth.2017.08.06
102. Studenski S, Perera S, Hile E, Keller V, Spadola-Bogard J, Garcia J. Interactive
Video Dance Games for Healthy Older Adults. Nutr Health Aging (2010)
14(10):850–2. doi:10.1007/s12603-010-0119-5
103. Lee S, Shin S. Effectiveness of Virtual Reality Using Video Gaming
Technology in Elderly Adults With Diabetes Mellitus. Diabetes Technol
Ther (2013) 15(6):489–96. doi:10.1089/dia.2013.0050
104. Mulas I, Putzu V, Asoni G, Viale D, Mameli I, Pau M. Clinical Assessment of
Gait and Functional Mobility in Italian Healthy and Cognitively Impaired
Older Persons Using Wearable Inertial Sensors. Aging Clin Exp Res (2021)
33(7):1853–64. doi:10.1007/s40520-020-01715-9
105. Kueider AM, Parisi JM, Gross AL, Rebok GW. Computerized Cognitive
Training With Older Adults: A Systematic Review. PLoS One (2012) 7(7):
e40588. doi:10.1371/journal.pone.0040588
106. Botsis T, Hartvigsen G. Current Status and Future Perspectives in Telecare for
Elderly People Suffering from Chronic Diseases. J Telemed Telecare (2008)
14(4):195–203. doi:10.1258/jtt.2008.070905
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 160775614
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
107. Tsai HH, Tsai YF. Changes in Depressive Symptoms, Social Support, and
Loneliness Over 1 Year After a Minimum 3-Month Videoconference
Program for Older Nursing Home Residents. J Med Internet Res (2011)
13(4):e93. doi:10.2196/jmir.1678
108. Ejupi A, Brodie M, Gschwind YJ, Schoene D, Lord S, Delbaere K. Choice
Stepping Reaction Time Test Using Exergame Technology for Fall Risk
Assessment in Older People. Annu Int Conf IEEE Eng Med Biol Soc (2014)
2014:6957–60. doi:10.1109/EMBC.2014.6945228
109. Leng FY, Yeo D, George S, Barr C. Comparison of iPad Applications With
Traditional Activities Using Person-Centred Care Approach: Impact on
Well-Being for Persons With Dementia. Dementia (2014) 13(2):265–73.
doi:10.1177/1471301213494514
110. Bateni H. Changes in Balance in Older Adults Based on Use of Physical
Therapy vs the Wii Fit Gaming System: A Preliminary Study. Physiotherapy
(United Kingdom) (2012) 98(3):211–6. doi:10.1016/j.physio.2011.02.004
111. Banbury A, Chamberlain D, Nancarrow S, Dart J, Gray L, Parkinson L. Can
Videoconferencing Affect Older People’s Engagement and Perception of
Their Social Support in Long-Term Conditions Management: A Social
Network Analysis From the Telehealth Literacy Project. Health Soc Care
Community (2017) 25(3):938–50. doi:10.1111/hsc.12382
112. Jenkins C, Amella E, Mueller M, Moore M, Hathaway D. An Internet-
Assisted Weight Loss Intervention for Older Overweight and Obese Rural
Women A Feasibility Study. Comput Inform Nurs (2016) 34:513–9. doi:10.
1097/CIN.0000000000000275
113. Bradley N, Poppen W. Assistive Technology, Computers and Internet May
Decrease Sense of Isolation for Homebound Elderly and Disabled Persons.
Technol Disabil (2003) 15:19–25. doi:10.3233/tad-2003-15104
114. Tedesco S, Barton J, O’Flynn B. A Review of Activity Trackers for Senior
Citizens: Research Perspectives, Commercial Landscape and the Role of the
Insurance Industry. Sensors (Switzerland); 2017.17, 1277, doi:10.3390/
s17061277
115. Kirk A, MacMillan F, Rice M, Carmichael A. An Exploratory Study
Examining the Appropriateness and Potential Benefit of the Nintendo Wii
as a Physical Activity Tool in Adults Aged ≥55 Years. Interact Comput (2013)
25(1):102–14. doi:10.1093/iwc/iws004
116. Lamoth C, Caljouw SR, Postema K. Active Video Gaming to Improve Balance
in the Elderly. Stud Health Technol Inform (2011) 167:159–64. Available
from: https://www.researchgate.net/publication/51231122 (Accessed April
11, 2023).
117. Cheek P, Nikpour L, Nowun HD. Aging Well with Smart Technology. Nurs
Admin Q (2005) 29:329–38. doi:10.1097/00006216-200510000-00007
118. Piau A, Campo E, Rumeau P, Vellas B, Nourhasheim F. Aging Society and
Gerontechnology: A Solution for an Independent Living? Nutr Health Aging
(2013). doi:10.1007/s12603-013-0356-5
119. Vaportzis E, Martin M, Gow AJ. A Tablet for Healthy Ageing: The Effect of a
Tablet Computer Training Intervention on Cognitive Abilities in Older
Adults. Am J Geriatr Psychiatry (2017) 25(8):841–51. doi:10.1016/j.jagp.
2016.11.015
120. Infante-Rivard C, Krieger M, Petitclerc M, Baumgarten M. A Telephone
Support Service to Reduce Medical Care Use Among the Elderly. J Am Geriatr
Soc (1988) 36(4):306–11. doi:10.1111/j.1532-5415.1988.tb02356.x
121. Lee JH, Kim H, Jhoo H, Lee U, Kim W, Lee Y, et al. A Telemedicine System as
a Care Modality for Dementia Patients in Korea. Alzheimer Dis Assoc Disord
(2000) 14:94–101. doi:10.1097/00002093-200004000-00007
122. Barlow J, Singh D, Bayer S, Curry R. A Systematic Review of the Benefits of
Home Telecare for Frail Elderly People and Those With Long-Term
Conditions. J Telemed Telecare (2007) 13:172–9. doi:10.1258/
135763307780908058
123. Chau JP, Lee DT, Yu DS, Chow A, Yu WC, Chair S, et al. A Feasibility Study
to Investigate the Acceptability and Potential Effectiveness of a Telecare
Service for Older People With Chronic Obstructive Pulmonary Disease. Int J
Med Inform (2012) 81(10):674–82. doi:10.1016/j.ijmedinf.2012.06.003
124. Jerant AF, Azari R, Martinez C, Nesbitt TS. A Randomized Trial of
Telenursing to Reduce Hospitalization for Heart Failure: Patient-Centered
Outcomes and Nursing Indicators. Home Health Care Serv Q (2003) 22(1):
1–20. doi:10.1300/J027v22n01_01
125. Shea S, Weinstock RS, Teresi JA, Palmas W, Starren J, Cimino JJ, et al. A
Randomized Trial Comparing Telemedicine Case Management With Usual
Care in Older, Ethnically Diverse, Medically Underserved Patients With
Diabetes Mellitus: 5 Year Results of the IDEATel Study. J Am Med Inform
Assoc (2009) 16(4):446–56. doi:10.1197/jamia.M3157
126. Shea S, Weinstock RS, Starren J, Teresi J, Palmas W, Field L, et al. A
Randomized Trial Comparing Telemedicine Case Management With
Usual Care in Older, Ethnically Diverse, Medically Underserved Patients
With Diabetes Mellitus. J Am Med Inform Assoc (2006) 13(1):40–51. doi:10.
1197/jamia.M1917
127. Agmon M, Perry CK, Phelan E, Demiris G, Nguyen HQ. A Pilot Study of Wii
Fit Exergames to Improve Balance in Older Adults. J Geriatr Phys Ther (2011)
34(4):161–7. doi:10.1519/JPT.0b013e3182191d98
128. Schoene D, Lord SR, Delbaere K, Severino C, Davies TA, Smith ST. A
Randomized Controlled Pilot Study of Home-Based Step Training in Older
People Using Videogame Technology. PLoS One (2013) 8(3):e57734. doi:10.
1371/journal.pone.0057734
129. Schoene D, Lord SR, Verhoef P, Smith ST. A Novel Video Game-Based
Device for Measuring Stepping Performance and Fall Risk in Older People.
Arch Phys Med Rehabil (2011) 92(6):947–53. doi:10.1016/j.apmr.2011.01.012
130. Diao Y, Lou N, Liang S, Zhang Y, Ning Y, Li G, et al. A Novel Environment-
Adaptive Timed Up and Go Test System for Fall Risk Assessment With
Wearable Inertial Sensors. IEEE Sens J (2021) 21(16):18287–97. doi:10.1109/
jsen.2021.3082982
131. Ohta S, Nakamoto’H, Shinagawa Y, Tanikawa T. A Health Monitoring
System for Elderly People Living Alone. J Telemed Telecare (2001) 8:151–6.
doi:10.1177/1357633X0200800305
132. Alm N, Dye R, Gowans G, Campbell J, Astell A, Ellis M. A Communication
Support System for Older People With Dementia. Computer (2007) 40:35–41.
doi:10.1109/mc.2007.153
133. Pichierri G, Murer K, De Bruin ED. A Cognitive-Motor Intervention Using a
Dance Video Game to Enhance Foot Placement Accuracy and Gait Under
Dual Task Conditions in Older Adults: A Randomized Controlled Trial. BMC
Geriatr (2012) 12:74. doi:10.1186/1471-2318-12-74
134. Haines TP, Russell T, Brauer SG, Erwin S, Lane P, Urry S, et al. Effectiveness
of a Video-Based Exercise Programme to Reduce Falls and Improve Health-
Related Quality of Life Among Older Adults Discharged From Hospital: A
Pilot Randomized Controlled Trial. Clin Rehabil (2009) 23(11):973–85.
doi:10.1177/0269215509338998
135. World Health Organization. WHO Clinical Consortium on Healthy Ageing
2019. In: Report of Consortium meeting; 21–22 November 2019; Geneva,
Switzerland (2019). Available from: http://apps.who.int/bookorders
(Accessed June 12, 2024).
136. World Health Organization. Regional Action Plan on Healthy Ageing in the
Western Pacific. 2021.
137. World HealthOrganization. Integrated Care for Older People(ICOPE):Guidance
for Person-Centred Assessment and Pathways in Primary Care. 2019.
138. Wambui N. Medical Identification and Sensing Technology for Assisting and
E-Health Monitoring Systems for Disabled and Elderly Persons. J Biomed
Sustain Healthc Appl (2022) 5:9–17. doi:10.53759/0088/jbsha202202002
139. Graham CM, Jones N. Impact of IoT on Geriatric Telehealth. Working Old
People (2020) 24(3):231–43. doi:10.1108/wwop-04-2020-0012
140. Wang CC, Chen JJ. Overcoming Technophobia in Poorly-Educated Elderly -
the HELPS-Seniors Service Learning Program. Int J Automation Smart Tech
(2015) 5(3):173–82. doi:10.5875/ausmt.v5i3.980
141. Etchemendy D, Baños RM, Botella C, Castilla D. Programa de Revisión de
Vida Apoyado en las Nuevas Tecnologías para las Personas Mayores: Una
Aplicación de Tecnologías Positivas. Escr Psicol (2010) 3(2):1–7. doi:10.
24310/espsiescpsi.v3i2.13336
142. Spinsante S. Home Telehealth in Older Patients With Heart Failure –Costs,
Adherence, and Outcomes. Smart Homecare Technol Telehealth (2014) 93:93.
doi:10.2147/shtt.s45318
143. Giovanni L, Frédérique L-G, Andrea S, Francesco B, Clara C, Stewart J, et al.
Can Technology-Based Services Support Long-Term Care Challenges in Home
Care? Analysis of Evidence From Social Innovation Good Practices Across the
EU: CARICT Project Summary Report. Luxembourg: Publications Office
(2012). p. 108.
144. John O, Yadufashije C. E-health Biosensor Platform for Noninvasive Health
Monitoring for the Elderly in Low Resource Setting. Int J Biomed Eng Sci
(2018) 5(3/4):15–30. doi:10.5121/ijbes.2018.5402
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 160775615
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
145. Knight A, Fouyaxis J, Jarrad G, Beski K, Cho G, Bidargaddi N. Systems to
Harness Digital Footprint to Elucidate and Facilitate Ageing in Place. In:
Studies in Health Technology and Informatics. IOS Press (2018). p. 91–101.
doi:10.3233/978-1-61499-845-7-91
146. World Health Organization and International Telecommunication Union. Be
He@lthy Be Mobile. In: A Handbook on How to Implement mDementia
(2021). Available from: http://apps.who.int/bookorders (Accessed June 12,
2024).
147. Watson P, Bearpark T, Ling J. The Impact of Rapid Response and Telecare
Services on Elderly and Vulnerable Residents. Health Soc Care Community
(2021) 29(4):897–904. doi:10.1111/hsc.13123
148. Pergolotti M, Deal AM, Bryant AL, Bennett AV, Farley E, Covington K, et al.
Senior Sway: Using a Mobile Application to Measure Fall Risk. J Geriatr Phys
Ther (2019) 42(3):E101–7. doi:10.1519/JPT.0000000000000223
149. Santana RF, Dantas RV, Soares TDS, Delphino TM, Hercules ABS, Leite
Junior HMT. Telecuidado para Idosos com Azheimer e seus Cuidadores:
Revisão Sistemática/Telecare to Elderly People With Alzheimer and Their
Caregivers: Systematic Review. Ciência, Cuidado e Saúde (2018) 17(4). doi:10.
4025/cienccuidsaude.v17i4.41653
150. Courtney KL, Lingler JH, Mecca LP, Garlock LA, Schulz R, Dick AW, et al.
Older Adults’and Case Managers’Initial Impressions of Community-Based
Telehealth Kiosks. Res Gerontol Nurs (2010) 3(4):235–9. doi:10.3928/
19404921-20100504-03
151. Kang GR, Kim IK, Kim WJ, Lee DY. Promotion of Adequate Exercise for
Chronic Disorders’Elderly Through Paced Music. In: Studies in Health
Technology and Informatics. IOS Press (2017). p. 136–40. doi:10.3233/978-1-
61499-830-3-136
152. Lind L, Carlgren G, Karlsson D, Old-and With Severe Heart Failure.
Telemonitoring by Using Digital Pen Technology in Specialized
Homecare: System Description, Implementation, and Early Results.
Comput Inform Nurs (2016). doi:10.1097/CIN.0000000000000252
153. Ogawa EF, Harris R, Dufour AB, Morey MC, Bean J. Reliability of Virtual
Physical Performance Assessments in Veterans During the COVID-19
Pandemic. Arch Rehabil Res Clin Transl (2021) 3(3):100146. doi:10.1016/j.
arrct.2021.100146
154. Ziegler P, Stierand K, Bahrs C, Ahrend MD.Mid-Term Results After Proximal
Humeral Fractures Following Angular Stable Plate Fixation in ElderlyPatients -
Which Scores Can Be Evaluated by a Telephone-Based Assessment? JOrthop
Surg Res (2020) 15(1):6. doi:10.1186/s13018-019-1536-8
155. Pinero De Plaza MA, Beleigoli A, Mudd A, Tieu M, McMillan P, Lawless M,
et al. Not Well Enough to Attend Appointments: Telehealth Versus Health
Marginalisation. In: Studies in Health Technology and Informatics.
Amsterdam, Netherlands: IOS Press BV (2021). p. 72–9.
156. Tousignant M, Boissy P, Corriveau H, Moffet H. In Home Telerehabilitation
for Older Adults After Discharge From an Acute Hospital or Rehabilitation
Unit: A Proof-Of-Concept Study and Costs Estimation. Disabil Rehabil Assist
Technol (2006) 1(4):209–16. doi:10.1080/17483100600776965
157. World Health Organization. Be He@lthy Be Mobile: A Handbook on How to
Implement mAgeing (2018). Available from: http://apps.who.int/bookorders.
158. World Health Organization. Age-Friendly Environments in Europe: A
Handbook of Domains for Policy Action. Copenhagen, Denmark: Health
Organization Regional Office for Europe (2017). Available from: http://www.
euro.who.int/pubrequest (Accessed June 12, 2024).
159. Damant J, Knapp M, Watters S, Freddolino P, Ellis M, King D. The Impact of
ICT Services on Perceptions of the Quality of Life of Older People. J Assist
Technol (2013) 7(1):5–21. doi:10.1108/17549451311313183
160. Mele C, Russo-Spena T, Marzullo ML, Ruggiero A. Boundary Work in Value
Co-Creation Practices: The Mediating Role of Cognitive Assistants. J Serv
Manag (2022) 33(2):342–62. doi:10.1108/josm-10-2020-0381
161. Marra DE, Hamlet KM, Bauer RM, Bowers D. Validity of
Teleneuropsychology for Older Adults in Response to COVID-19: A
Systematic and Critical Review. Clin Neuropsychologist (2020) 34:1411–52.
doi:10.1080/13854046.2020.1769192
162. Aily JB, Barton CJ, Mattiello SM, Silva Dde O, De Noronha M.
Telerehabilitation for Knee Osteoarthritis in Brazil: A Feasibility Study.
Int J Telerehabil (2020) 12(2):137–48. doi:10.5195/ijt.2020.6323
163. Hosteng KR, Simmering JE, Polgreen LA, Cremer JF, Segre AM, Francis SL,
et al. Multilevel Mhealth Intervention Increases Physical Activity of Older
Adults Living in Retirement Community. J Phys Act Health (2021) 18(7):
851–7. doi:10.1123/jpah.2020-0592
164. Harada ND, Dhanani S, Elrod M, Hahn T, Kleinman L, Fang M. Feasibility
Study of Home Telerehabilitation for Physically Inactive Veterans. J Rehabil
Res Dev (2010) 47(5):465–75. doi:10.1682/jrrd.2009.09.0149
165. Tousignant M, Marquis N, Pagé C, Imukuze N, Métivier A, St-Onge V, et al.
In-home Telerehabilitation for Older Persons With Chronic Obstructive
Pulmonary Disease: A Pilot Study. Int J Telerehabil (2012) 13:15–24. doi:10.
5195/ijt.2012.6083
166. Levy CE, Silverman E, Jia H, Geiss M, Omura D. Effects of Physical Therapy
Delivery via Home Video Telerehabilitation on Functional and Health-
Related Quality of Life Outcomes. J Rehabil Res Dev (2015) 52(3):361–70.
doi:10.1682/JRRD.2014.10.0239
167. Moffet H, Tousignant M, Nadeau S, Mérette C, Boissy P, Corriveau H, et al.
In-Home Telerehabilitation Compared With Faceto-Face Rehabilitation
After Total Knee Arthroplasty: A Noninferiority Randomized Controlled
Trial. J Bone Jt Surg - Am (2015) 97(14):1129–41. doi:10.2106/JBJS.N.01066
168. Flynn A, Preston E, Dennis S, Canning CG, Allen NE. Home-Based Exercise
Monitored With Telehealth Is Feasible and Acceptable Compared to Centre-
Based Exercise in Parkinson’s Disease: A Randomised Pilot Study. Clin
Rehabil (2021) 35(5):728–39. doi:10.1177/0269215520976265
169. Besnier F, Gayda M, Nigam A, Juneau M, Bherer L. Cardiac Rehabilitation
During Quarantine in COVID-19 Pandemic: Challenges for Center-Based
Programs. Arch Phys Med Rehabil (2020) 101:1835–8. doi:10.1016/j.apmr.
2020.06.004
170. Turner AP, Wallin MT, Sloan A, Maloni H, Kane R, Martz L, et al. Clinical
Management of Multiple Sclerosis Through Home Telehealth Monitoring
Results of a Pilot Project. Int J MS Care (2013) 15(1):8–14. doi:10.7224/1537-
2073.2012-012
171. Dahlgren K, Holzmann MJ, Carlsson AC, Wändell P, Hasselström J, Ruge T.
The Use of a Swedish Telephone Medical Advice Service by the Elderly–A
Population-Based Study. Scand J Prim Health Care (2017) 35(1):98–104.
doi:10.1080/02813432.2017.1288816
172. Hutchinson M, Wendt N, Smith ST. Trial Implementation of a
Telerehabilitation Exercise System in Residential Aged Care. In: Studies in
Health Technology and Informatics. IOS Press (2018). p. 62–74. doi:10.3233/
978-1-61499-845-7-62
173. Waterson P, Eason K, Tutt D, Dent M. Using HIT to Deliver Integrated Care
for the Frail Elderly in the UK: Current Barriers and Future Challenges. In:
Work (2012). p. 4490–3.
174. Söderlund R. The Role of Information and Communication Technology in
Home Services: Telecare Does Not Satisfy the Needs of the Elderly. Health
Inform J (2004) 10(2):127–37. doi:10.1177/1460458204042237
175. Unbehaun D, Taugerbeck S, Aal K, Vaziri DD, Lehmann J, Tolmie P, et al.
Notes of Memories: Fostering Social Interaction, Activity and Reminiscence
Through an Interactive Music Exergame Developed for People With
Dementia and Their Caregivers. Hum Comput Interact (2021) 36(5–6):
439–72. doi:10.1080/07370024.2020.1746910
176. Lexis M, Everink I, Van Der Heide L, Spreeu wenberg M, Willems C, De Witte
L. Activity Monitoring Technology to Support Homecare Delivery to Frail
and Psychogeriatric Elderly Persons Living at Home Alone. Technol Disabil
(2013) 25(3):189–97. doi:10.3233/tad-130377
177. Queyroux A, Saricassapian B, Herzog D, Müller K, Herafa I, Ducoux D, et al.
Accuracy of Teledentistry for Diagnosing Dental Pathology Using Direct
Examination as a Gold Standard: Results of the Tel-E-Dent Study of Older
Adults Living in Nursing Homes. J Am Med Dir Assoc (2017) 18(6):528–32.
doi:10.1016/j.jamda.2016.12.082
178. Jaana M, Sherrard H, Paré G. A Prospective Evaluation of Telemonitoring
Use by Seniors With Chronic Heart Failure: Adoption, Self-Care, and
Empowerment. Health Inform J. (2019) 25(4):1800–14. doi:10.1177/
1460458218799458
179. Suh MK, Chen CA, Woodbridge J, Tu MK, Kim JI, Nahapetian A, et al. A
Remote Patient Monitoring System for Congestive Heart Failure. J Med Syst
(2011). p. 1165–79. doi:10.1007/s10916-011-9733-y
180. De Luca R, Torrisi M, Bramanti A, Maggio MG, Anchesi S, Andaloro A, et al.
A Multidisciplinary Telehealth Approach for Community Dwelling Older
Adults. Geriatr Nurs (Minneap) (2021) 42(3):635–42. doi:10.1016/j.gerinurse.
2021.03.015
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 160775616
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
181. Lee DTF, Leung DYP, Lee IFK, Lam LW, Lee SWY, Chan MWM, et al. The
Impact of Virtual Wards on Frail Older Patients With Chronic Diseases at
Home: A Pre and Post Study. Age Ageing (2014) 43:i4. doi:10.1093/ageing/
afu036.15
182. Barrett E, Burke M, Whelan S, Santorelli A, Oliveira BL, Cavallo F, et al.
Evaluation of a Companion Robot for Individuals With Dementia:
Quantitative Findings of the MARIO Project in an Irish Residential Care
Setting. J Gerontol Nurs (2019) 47(7):36–45. doi:10.3928/00989134-
20190531-01
183. Graham SA, Jeste DV, Lee EE, Wu TC, Tu X, Kim HC, et al. Associations
Between Heart Rate Variability Measured With a Wrist-Worn Sensor and
Older Adults’Physical Function: Observational Study. JMIR Mhealth Uhealth
(2019) 7(10):e13757. doi:10.2196/13757
184. Grossman MR, Zak DK, Zelinski EM. Mobile Apps for Caregivers of Older
Adults: Quantitative Content Analysis. JMIR Mhealth Uhealth (2018) 6(7):
e162. doi:10.2196/mhealth.9345
185. Sadasivam RS, Luger TM, Coley HL, Taylor BB, Padir T, Ritchie CS, et al.
Robot-Assisted Home Hazard Assessment for Fall Prevention: A Feasibility
Study. J Telemed Telecare (2014) 20(1):3–10. doi:10.1177/1357633X13517350
186. Haux R, Hein A, Kolb G, Künemund H, Eichelberg M, Appell JE, et al.
Information and Communication Technologies for Promoting and
Sustaining Quality of Life, Health and Self-Sufficiency in Ageing Societies-
Outcomes of the Lower Saxony Research Network Design of Environments
for Ageing (GAL). Inform Health Soc Care (2014) 39(3–4):166–87. doi:10.
3109/17538157.2014.931849
187. Hanton CR, Kwon YJ, Aung T, Whittington J, High RR, Goulding EH, et al.
Mobile Phone-Based Measures of Activity, Step Count, and Gait Speed:
Results From a Study of Older Ambulatory Adults in a Naturalistic Setting.
JMIR Mhealth Uhealth (2017) 5(10):e104. doi:10.2196/mhealth.5090
188. Blixen CE, Bramstedt KA, Hammel JP, Tilley BC. A Pilot Study of Health
Education via a Nurse-Run Telephone Self-Management Programme for
Elderly People With Osteoarthritis. J Telemed Telecare (2004) 10:44–9. doi:10.
1258/135763304322764194
189. Ni Q, Hernando ABG, de la Cruz IP. The Elderly’s Independent Living in
Smart Homes: A Characterization of Activities and Sensing Infrastructure
Survey to Facilitate Services Development. Sensors (Switzerland) (2015) 15:
11312–62. doi:10.3390/s150511312
190. Suzuki R, Hasegawa T. Evaluation of a One-Dose Package Medication
Support System for Community-Based Elderly Patients and Eldercare
Facilities. Am J Health-System Pharm (2018) 75(9):e202–12. doi:10.2146/
ajhp170176
191. Becker TAC, Teixeira CRde S, Zanetti ML, Pace AE, Almeida FA, Torquato
MT, et al. Effects of Supportive Telephone Counseling in the Metabolic
Control of Elderly People With Diabetes Mellitus. Rev Bras Enferm (2017)
70(4):704–10. doi:10.1590/0034-7167-2017-0089
192. Van Doorn-Van Atten MN, Haveman-Nies A, Van Bakel MM, Ferry M,
Franco M, De Groot LCPGM, et al. Effects of a Multi-Component Nutritional
Telemonitoring Intervention on Nutritional Status, Diet Quality, Physical
Functioning and Quality of Life of Community-Dwelling Older Adults. Br J
Nutr (2018) 119(10):1185–94. doi:10.1017/S0007114518000843
193. Mullen EC. Effect of Telephone Counseling on Physical Activity Among
Older Effect of Telephone Counseling on Physical Activity Among Older
Adult Cancer Survivors Adult Cancer Survivors. Available from: http://hdl.
handle.net/10950/97 (Accessed March 5, 2024).
194. Chang KC, Hung SH, Hsueh SJ, Chao SF, Huang WL, Chen HS, et al.
Development of the Houston–Apollo Model for Older People Living in
Remote Areas in Taiwan. Geriatr Gerontol Int (2021) 21(3):299–305. doi:10.
1111/ggi.14130
195. Borda A, Gilbert C, Gray K, Prabhu D. In: van den Berg MEL, Maeder AJ,
editors. Consumer Wearable Information and Health Self Management by
Older Adults. IOS Press (2018). doi:10.3233/978-1-61499-845-7-42
196. Steils N, Woolham J, Fisk M, Porteus J, Forsyth K. Carers’Involvement in
Telecare Provision by Local Councils for Older People in England:
Perspectives of Council Telecare Managers and Stakeholders. Ageing Soc
(2021) 41(2):456–75. doi:10.1017/s0144686x1900120x
197. Zacharopoulou G, Zacharopoulou V, Dermatis Z, Lazakidou A. Adoption of
ICT by Elderly With Hip Fracture After a Fall. Stud Health Technol Inform
(2018) 251:191–4.
198. Volandes AE, Zupanc SN, Paasche-Orlow MK, Lakin JR, Chang Y, Burns EA,
et al. Association of an Advance Care Planning Video and Communication
Intervention With Documentation of Advance Care Planning Among Older
Adults: A Nonrandomized Controlled Trial. JAMA Netw Open (2022) 5(2):
e220354. doi:10.1001/jamanetworkopen.2022.0354
199. Bendixen RM. Assessment of a Telerehabilitation and a Telehomecare
Program for Veterans With Chronic Illnesses. Florida, United States:
University of Florida (2006).
200. Yasini M, Marchand G. Adoption and Use of a Mobile Health Application in
Older Adults for Cognitive Stimulation. In: Studies in Health Technology and
Informatics. IOS Press (2016). p. 13–7. doi:10.3233/978-1-61499-633-0-13
201. Goumopoulos C, Papa I, Stavrianos A. Development and Evaluation of a
Mobile Application Suite for Enhancing the Social Inclusion and Well-Being
of Seniors. Informatics (2017) 4(3):15. doi:10.3390/informatics4030015
202. Vaziri DD, Aal K, Gschwind YJ, Delbaere K, Weibert A, Annegarn J, et al.
Analysis of Effects and Usage Indicators for a ICT-Based Fall Prevention
System in Community Dwelling Older Adults. Int J Hum Comput Stud (2017)
106:10–25. doi:10.1016/j.ijhcs.2017.05.004
203. Kleinpell RM, Avitall B. Integrating Telehealth as a Strategy for Patient
Management After Discharge for Cardiac Surgery Results of a Pilot Study.
J Cardiovasc Nurs (2007) 22:38–42. doi:10.1097/00005082-200701000-00006
204. Resnick HE, Ilagan PR, Kaylor MB, Mehling D, Alwan M. TEAhM-
Technologies for Enhancing Access to Health Management: A Pilot Study
of Community-Based Telehealth. Telemed e-Health (2012) 18(3):166–74.
doi:10.1089/tmj.2011.0122
205. Jarvis MA, Chipps J, Padmanabhanunni A. “This Phone Saved My Life”:
Older Persons Experiences and Appraisals of an mHealth Intervention
Aimed at Addressing Loneliness. J Psychol Africa (2019) 29(2):159–66.
doi:10.1080/14330237.2019.1594650
206. Etchemendy E, Baños RM, Botella C, Castilla D, Alcañiz M, Rasal P, et al. An
E-Health Platform for the Elderly Population: The Butler System. Comput
Educ (2011) 56(1):275–9. doi:10.1016/j.compedu.2010.07.022
207. Zulfiqar AA, Hajjam A, Talha S, Hajjam M, Hajjam J, Ervé S, et al.
Telemedicine and Geriatrics in France: Inventory of Experiments. Curr
Gerontol Geriatr Res (2018) 2018:9042180. doi:10.1155/2018/9042180
208. Kang HG, Mahoney DF, Hoenig H, Hirth VA, Bonato P, Hajjar I, et al. In Situ
Monitoring of Health in Older Adults: Technologies and Issues. J Am Geriatr
Soc (2010) 58:1579–86. doi:10.1111/j.1532-5415.2010.02959.x
209. Parfitt J, Wan A, Darzi A, Parfitt J, ShafiA, de Caux R, et al. The Use of
Wireless Telemedicine Equipment in the Senior Assessment of Surgical
Patients in an Accident and Emergency Department. J Telemed Telecare
(2001) 7:82. doi:10.1177/1357633x010070s140
210. Yoshida K, Yamaoka Y, Eguchi Y, Sato D, Iiboshi K, Kishimoto M, et al.
Remote Neuropsychological Assessment of Elderly Japanese Population
Using the Alzheimer’s Disease Assessment Scale: A Validation Study.
J Telemed Telecare (2020) 26(7–8):482–7. doi:10.1177/1357633X19845278
211. Geraedts HAE, Dijkstra H, Zhang W, Ibarra F, Far IK, Zijlstra W, et al.
Effectiveness of an Individually Tailored Home-Based Exercise Rogramme
for Pre-Frail Older Adults, Driven by a Tablet Application and Mobility
Monitoring: A Pilot Study. Eur Rev Aging Phys Activity (2021) 18(1):10.
doi:10.1186/s11556-021-00264-y
212. Mshali H, Lemlouma T, Moloney M, Magoni D. A Survey on Health
Monitoring Systems for Health Smart Homes. Int J Ind Ergon (2018) 66:
26–56. doi:10.1016/j.ergon.2018.02.002
213. Choi SD, Guo L, Kang D, Xiong S. Exergame Technology and Interactive
Interventions for Elderly Fall Prevention: A Systematic Literature Review.
Appl Ergon (2017) 65:570–81. doi:10.1016/j.apergo.2016.10.013
214. Werner C, Moustris GP, Tzafestas CS, Hauer K. User-Oriented Evaluation of
a Robotic Rollator That Provides Navigation Assistance in Frail Older Adults
With and Without Cognitive Impairment. Gerontology (2018) 64(3):278–90.
doi:10.1159/000484663
215. Piette JD, Striplin D, Marinec N, Chen J, Aikens JE. A Randomized Trial of
Mobile Health Support for Heart Failure Patients and Their Informal
Caregivers Impacts on Caregiver-Reported Outcomes. Med Care (2015)
53:692–9. doi:10.1097/MLR.0000000000000378
216. Sparsa A, Doffoel-Hantz V, Bonnetblanc JM. Assessment of Tele-Expertise
Among Elderly Subjects in Retirement Homes (EHPAD). Ann Dermatol
Venereol (2013) 140(3):165–9. doi:10.1016/j.annder.2012.11.008
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 160775617
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
217. Shahbazi M, Bagherian H, Sattari M, Saghaeiannejad-Isfahani S. The
Opportunities and Challenges of Using Mobile Health in Elderly Self-
Care. J Educ Health Promot (2021) 10(1):80. doi:10.4103/jehp.jehp_871_20
218. Intawong K, Boonchieng W, Lerttrakarnnon P, Boonchieng E, Puritat K. A-
SA SOS: A Mobile and IoT-Based Pre-Hospital Emergency Service for the
Elderly and Village Health Volunteers. Int J Adv Comput Sci Appl (2021)
12(4):513–8. doi:10.14569/ijacsa.2021.0120465
219. Tindall LR, Huebner RA, Stemple JC, Kleinert HL. Videophone-Delivered
Voice Therapy: A Comparative Analysis of Outcomes to Traditional Delivery
for Adults With Parkinson’s Disease. Telemed e-Health (2008) 14(10):
1070–7. doi:10.1089/tmj.2008.0040
220. Nancarrow S, Banbury A, Buckley J. Evaluation of a National Broadband
Network-Enabled Telehealth Trial for Older People With Chronic Disease.
Aust Health Rev (2016) 40(6):641–8. doi:10.1071/AH15201
221. Grossi G, Lanzarotti R, Napoletano P, Noceti N, Odone F. Positive
Technology for Elderly Well-Being: A Review. Pattern Recognit Lett
(2020) 137:61–70. doi:10.1016/j.patrec.2019.03.016
222. Reading Turchioe M, Grossman LV, Baik D, Lee CS, Maurer MS, Goyal P, et al.
OlderAdultsCanSuccessfullyMonitorSymptomsUsinganInclusivelyDesigned
Mobile Application. JAmGeriatrSoc(2020) 68(6):1313–8. doi:10.1111/jgs.16403
223. Whitehouse CR, Long JA, Maloney LM, Daniels K, Horowitz DA, Bowles
KH. Feasibility of Diabetes Self-Management Telehealth Education for Older
Adults During Transitions in Care. Res Gerontol Nurs (2020) 13(3):138–45.
doi:10.3928/19404921-20191210-03
224. Zhou S, Ogihara A, Nishimura S, Jin Q. Analyzing the Changes of Health
Condition and Social Capital of Elderly People Using Wearable Devices.
Health Inf Sci Syst (2018) 6(1):4. doi:10.1007/s13755-018-0044-2
225. Hsu MH, Chu TB, Yen JC, Chiu WT, Yeh GC, Chen TJ, et al. Development
and Implementation of a National Telehealth Project for Long-Term Care: A
Preliminary Study. Comput Methods Programs Biomed (2010) 97(3):286–92.
doi:10.1016/j.cmpb.2009.12.008
226. Kim HH, Cho NB, Kim J, Kim KM, Kang M, Choi Y, et al. Implementation of
a Home-Based Mhealth App Intervention Program With Human Mediation
for Swallowing Tongue Pressure Strengthening Exercises in Older Adults:
Longitudinal Observational Study. JMIR Mhealth Uhealth (2020) 8(10):
e22080. doi:10.2196/22080
227. Hong E, Jakacic AN, Sahoo A, Breyman E, Ukegbu G, Tabacof L, et al. Use of
Fitbit Technology Does Not Impact Health Biometrics in a Community of
Older Adults. Telemed e-Health (2021) 27(4):409–13. doi:10.1089/tmj.2020.
0060
228. Rocha LA, Almeida SS. Saphiraweb: An Open-Source Cloud Platform for
E-Health Analysis. Instrum Sci Technol (2020) 48(6):583–600. doi:10.1080/
10739149.2020.1761380
229. Cid A, Sotelo R, Leguisamo M, Ramírez-Michelena M. Tablets for Deeply
Disadvantaged Older Adults: Challenges in Long-Term Care Facilities. Int J
Hum Comput Stud (2020) 144. doi:10.1016/j.ijhcs.2020.102504
230. Zulfiqar AA, Massimbo DND, Hajjam M, Geny B, Talha S, Hajjam J, et al.
Results of the Second Phase of the Ger-E-Tec Experiment Concerning the
Telemonitoring of Elderly Patients Affected by Covid-19 Disease to Detect
the Exacerbation of Geriatric Syndromes. J Pers Med (2021) 11(11):1117.
doi:10.3390/jpm11111117
231. Zulfiqar AA, Vaudelle O, Hajjam M, Geny B, Talha S, Letourneau D, et al.
Results of the “GER-e-TEC”Experiment Involving the Use of an Automated
Platform to Detect the Exacerbation of Geriatric Syndromes. J Clin Med
(2020) 9(12):3836–17. doi:10.3390/jcm9123836
232. Tabbara M, Özgüler OS, Exadaktylos AK. New Freedom Through Medical
Devices Based on the Global System for Mobile Communications: A
Prospective Survey of 620 Users of the Swiss Limmex Emergency
Wristwatch—An Original Study From Switzerland. Emerg Med Int (2013)
2013:563731–4. doi:10.1155/2013/563731
233. Van ’t Klooster JWJR, Van Der Heide LA, Van ’t Klooster JW, Van
Bruinessen I, Boessen A, Van Der Heide L, et al. Introducing Personalised
Self-Management to Support Physical Activity in Elderly: A Case Study. In:
International Conference E-Health (2017). Available from: https://www.
researchgate.net/publication/319137123 (Accessed July 18, 2023).
234. Dorrian C, Mcgibbon F. Lochaber Telemedicine Clinic-A New Approach
Managing Dementia in Care Homes Conference Abstract Lochaber
Telemedicine Clinic-A New Approach Managing Dementia in Care Homes.
International Congress on Telehealth and Telecare (2013). Available from:
https://www.researchgate.net/publication/296705067 (Accessed July 18,
2023). doi:10.5334/ijic.1412
235. Pearlman-Avnion S, Goldschmidt Y, Shamis N. Impacts of Urbanization and
ICT Use on Loneliness Among the Elderly in Israel. Educ Urban Soc (2020)
52(6):962–83. doi:10.1177/0013124519891998
236. Saccavini C, Mancin S. Integration of Telehealth and Telecare Service in the
Veneto Region. Int J Integr Care (2013) 13. doi:10.5334/ijic.1426
237. Stellato K, Radini D, Pellizzari M, Pordenon M, Pletti L, Humar F, et al.
Integrating Care in Complex Cardiac Care: The Tech Touch. Int J Integr Care
(2016) 16(6):383. doi:10.5334/ijic.2931
238. Gris S, Sampognaro E, Forestiero A, Saccavini C, Mancin S. Improving
Integrated Care for Frail Elderly Patients Throught Ict –The Veneto Region
Experience. Int J Integr Care (2017) 17(5):520. doi:10.5334/ijic.3840
239. Yeung A, Johnson DP, Trinh NH, Weng WCC, Kvedar J, Fava M. Feasibility and
Effectiveness of Telepsychiatry Services for Chinese Immigrants in a Nursing
Home. Telemed e-Health. (2009) 15(4):336–41. doi:10.1089/tmj.2008.0138
240. Salerno D. Development of E-Health Services and Integrated/Coordinated
Cares. Int J Integr Care (2015) 15. doi:10.5334/ijic.2144
241. RobičM, PavličDR. COVID-19 and Care for the Elderly in Long-Term Care
Facilities: The Role Information Communication Technology. Acta Med
Academica. Acad Sci Arts Bosnia Herzegovina (2021) 50:414–22. doi:10.
5644/ama2006-124.363
242. Casey J. Carers Assistive Technology Service. In: International Digital Health
and Care Congress. London (2014). Available from: http://www.ijic.org/
(Accessed July 18, 2023).
243. Slone S, Marshall K, Grace P, Wall G. Avoidance of Unnecessary Hospital
Admissions Through the Implementation of a Digital Health Programme. Int
J Integr Care (2018) 18(s2):219. doi:10.5334/ijic.s2219
244. Saracchini R, Catalina C, Bordoni L. A Mobile Augmented Reality Assistive
Technology for the Elderly. Comunicar (2015) 23(45):65–73. doi:10.3916/
C45-2015-07
245. Vázquez-De Sebastián J, Ciudin A, Castellano-Tejedor C. Analysis of
Effectiveness and Psychological Techniques Implemented in Mhealth
Solutions for Middle-Aged and Elderly Adults With Type 2 Diabetes: A
Narrative Review of the Literature. J Clin Med (2021) 10:2701. doi:10.3390/
jcm10122701
246. Scherr D, Kastner P, Kollmann A, Hallas A, Auer J, Krappinger H, et al. Effect
of Home-Based Telemonitoring Using Mobile Phone Technology on the
Outcome of Heart Failure Patients After an Episode of Acute
Decompensation: Randomized Controlled Trial. J Med Internet Res (2009)
11(3):e34. doi:10.2196/jmir.1252
247. Magnusson L, Hanson E, Borg M. A literature review study of Information
and Communication Technology as a support for frail older people living at
home and their family carers. Technology and Disability (2004) 16(4):
223–235. doi:10.3233/TAD-2004-16404
248. Egede LE, Acierno R, Knapp RG, Walker RJ, Payne EH, Christopher Frueh B.
Psychotherapy for Depression in Older Veterans via Telemedicine: Effect on
Quality of Life, Satisfaction, Treatment Credibility, and Service Delivery
Perception. J Clin Psychiatry (2016) 77(12):1704–11. doi:10.4088/JCP.
16m10951
249. Antonicelli R, Mazzanti I, Abbatecola AM, Parati G. Impact of Home Patient
Telemonitoring on Use of β-Blockers in Congestive Heart Failure. Drugs
Aging (2010) 27(10):801–5. doi:10.2165/11538210-000000000-00000
250. Trief PM, Izquierdo R, Eimicke JP, Teresi JA, Goland R, Palmas W, et al.
Adherence to Diabetes Self Care for White, African-American and
Hispanic American Telemedicine Participants: 5 Year Results From
the IDEATel Project. Ethn Health (2013) 18(1):83–96. doi:10.1080/
13557858.2012.700915
251. Carretero S, Centeno C, Stewart J. Telecare and Telehealth for Informal
Carers: A Research in 12 Member States on Their Benefits and Policy Role for
the Success. Int J Integr Care (2013) 13(7). doi:10.5334/ijic.1374
252. Poon P, Hui E, Dai D, Kwok T, Woo J. Cognitive Intervention for
Community-Dwelling Older Persons With Memory Problems:
Telemedicine Versus Face-To-Face Treatment. Int J Geriatr Psychiatry
(2005) 20(3):285–6. doi:10.1002/gps.1282
253. West SP, Lagua C, Trief PM, Izquierdo R, Weinstock RS. Goal Setting Using
Telemedicine in Rural Underserved Older Adults With Diabetes: Experiences
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 160775618
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
From the Informatics for Diabetes Education and Telemedicine Project.
Available from: www.liebertpub.com (Accessed July 19, 2023).
254. Zaccarelli C, Benati G, Boschi F, Barban F, Annicchiarico R, Lymperopoulou O.
Computer-Based Cognitive Training for Dementia. Results From a Randomized
Controlled Trial on MCI, Mild AD and Healthy Ageing. In: Journal of
Alzheimer’sDisease. IOS Press (2016). p. S56. doi:10.3233/JAD-169001
255. Comín-Colet J, Enjuanes C, Verdú-Rotellar JM, Linas A, Ruiz-Rodriguez P,
González-Robledo G, et al. Impact on Clinical Events and Healthcare Costs of
Adding Telemedicine to Multidisciplinary Disease Management
Programmes for Heart Failure: Results of a Randomized Controlled Trial.
J Telemed Telecare (2016) 22(5):282–95. doi:10.1177/1357633X15600583
256. Jenkins R, McSweeney M. Assessing Elderly Patients With Congestive Heart
Failure via in-Home Interactive Telecommunication. J Gerontol Nurs (2001)
27:21–7. doi:10.3928/0098-9134-20010101-09
257. Gathercole R, Bradley R, Harper E, Davies L, Pank L, Lam N, et al. Assistive
Technology and Telecare to Maintain Independent Living at Home for
People With Dementia: The ATTILA RCT. Health Technol Assess (Rockv)
(2021) 25(19):1–156. doi:10.3310/hta25190
258. Pedone C, Chiurco D, Scarlata S, Incalzi RA. Efficacy of Multiparametric
Telemonitoring on Respiratory Outcomes in Elderly People With COPD: A
Randomized Controlled Trial. BMC Health Serv Res (2013) 13:82. doi:10.
1186/1472-6963-13-82
259. Antonicelli R, Testarmata P, Spazzafumo L, Gagliardi C, Bilo G, Valentini M,
et al. Impact of Telemonitoring at Home on the Management of Elderly
Patients With Congestive Heart Failure. J Telemed Telecare (2008) 14(6):
300–5. doi:10.1258/jtt.2008.071213
260. Sabatier R, Coutance G, Belin A, Biannic C, Loiselet P, Pradere G, et al. Three
Months Educational Remote Telemonitoring in Elderly Patients With Heart
Failure Reduces Hospitalizations for Acute Heart Failure at One Year: A
Randomized Trial. P666. In: European Journal of Heart Failure. Wiley (2013).
261. Mavandadi S, Benson A, DiFilippo S, Streim JE, Oslin D. A Telephone-Based
Program to Provide Symptom Monitoring Alone vs Symptom Monitoring
Plus Care Management for Late-Life Depression and Anxiety a Randomized
Clinical Trial. JAMA Psychiatry (2015) 72(12):1211–8. doi:10.1001/
jamapsychiatry.2015.2157
262. Zeghari R, Guerchouche R, Tran Duc M, Bremond F, Lemoine MP,
Bultingaire V, et al. Pilot Study to Assess the Feasibility of a Mobile Unit
for Remote Cognitive Screening of Isolated Elderly in Rural Areas. Int J
Environ Res Public Health (2021) 18(11):6108. doi:10.3390/ijerph18116108
263. Sharma Y, Thompson CH, Kaambwa B, Shahi R, Hakendorf P, Miller M.
Investigation of the Benefits of Early Malnutrition Screening With Telehealth
Follow up in Elderly Acute Medical Admissions. QJM: Int J Med (2017)
110(10):639–47. doi:10.1093/qjmed/hcx095
264. Trief PM, Teresi JA, Izquierdo R, Morin PC, Goland R, Field L, et al.
Psychosocial Outcomes of Telemedicine Case Management for Elderly
Patients With Diabetes: The Randomized IDEATel Trial. Diabetes Care
(2007) 30:1266–8. doi:10.2337/dc06-2476
265. Mandal A, Ng N, Mok V, Lantz M, Sinai M, Israel B, et al. “Put It on Mi Tab”:
Assessing the Cost of Geriatric “Regulars”in the Psychiatric Emergency
Department. In: AAGP Annual Meeting (2019).
266. Noel HC, Vogel DC, Erdos JJ, Cornwall D, Levin F. Home Telehealth Reduces
Healthcare Costs. Telemed J E Health (2004) 10:170–83. doi:10.1089/tmj.
2004.10.170
267. Hirani SP, Beynon M, Cartwright M, Rixon L, Doll H, Henderson C, et al. The
Effect of Telecare on the Quality of Life and Psychological Well-Being of
Elderly Recipients of Social Care over a 12-Month Period: The Whole
Systems Demonstrator Cluster Randomised Trial. Age Ageing (2014)
43(3):334–41. doi:10.1093/ageing/aft185
268. Gellis ZD, Kenaley BL, Have TT. Integrated Telehealth Care for Chronic
Illness and Depression in Geriatric Home Care Patients: The Integrated
Telehealth Education and Activation of Mood (I-TEAM) Study. J Am Geriatr
Soc (2014) 62(5):889–95. doi:10.1111/jgs.12776
269. Sorknaes AD, Bech M, Madsen H, Titlestad IL, Hounsgaard L, Hansen-Nord
M, et al. The Effect of Real-Time Teleconsultations Between Hospital-Based
Nurses and Patients With Severe COPD Discharged After an Exacerbation.
J Telemed Telecare (2013) 19(8):466–74. doi:10.1177/1357633X13512067
270. Lin FC, Chien HY, Chen SH, Kao YC, Cheng PW, Te WC. Voice Therapy for
Benign Voice Disorders in the Elderly: A Randomized Controlled Trial
Comparing Telepractice and Conventional Face-To-Face Therapy.
J Speech, Lang Hearing Res (2020) 63(7):2132–40. doi:10.1044/
2020_JSLHR-19-00364
271. Cassel S. A Comparison of Traditional Face-To-Face and Tele-Dysphagia
Instructional Methods in Geriatric TBI and CVA Populations. Arch Phys Med
Rehabil (2016) 97(10):e16–7. doi:10.1016/j.apmr.2016.08.046
272. Titov N, Dear BF, Ali S, Zou JB, Lorian CN, Johnston L, et al. Clinical and
Cost-Effectiveness of Therapist-Guided Internet-Delivered Cognitive
Behavior Therapy for Older Adults With Symptoms of Depression: A
Randomized Controlled Trial. Behav Ther (2015) 46:193–205. doi:10.1016/
j.beth.2014.09.008
273. Pedone C, Rossi FF, Cecere A, Costanzo L, Antonelli Incalzi R. Efficacy of a
Physician-Led Multiparametric Telemonitoring System in Very Old Adults
With Heart Failure. J Am Geriatr Soc (2015) 63(6):1175–80. doi:10.1111/jgs.
13432
274. Choi NG, Hegel MT, Nathan Marti C, Lynn Marinucci M, Sirrianni L, Bruce
ML. Telehealth Problem-Solving Therapy for Depressed Low-Income
Homebound Older Adults. Am J Geriatr Psychiatry (2012) 1:1. doi:10.
1097/jgp.0b013e318266b356
275. Lin KH, Chen CH, Chen YY, Huang WT, Lai JS, Yu SM, et al. Bidirectional
and Multi-User Telerehabilitation System: Clinical Effect on Balance,
Functional Activity, and Satisfaction in Patients With Chronic Stroke
Living in Long-Term Care Facilities. Sensors (Switzerland) (2014) 14(7):
12451–66. doi:10.3390/s140712451
276. Baker K, LaValley MP, Brown C, Felson DT, Ledingham A, Keysor JJ. Efficacy
of Computer-Based Telephone Counseling on Long-Term Adherence to
Strength Training in Elderly Patients With Knee Osteoarthritis: A
Randomized Trial. Arthritis Care Res (Hoboken) (2020) 72(7):982–90.
doi:10.1002/acr.23921
277. Sparrow D, Gottlieb DJ, Demolles D, Fielding RA. Increases in Muscle
Strength and Balance Using a Resistance Training Program Administered
via a Telecommunications System in Older Adults. Journals Gerontol - Ser A
Biol Sci Med Sci (2011) 66 A(11):1251–7. doi:10.1093/gerona/glr138
278. Jakobsen AS, Laursen LC, Rydahl-Hansen S, Østergaard B, Gerds TA, Emme
C, et al. Home-Based Telehealth Hospitalization for Exacerbation of Chronic
Obstructive Pulmonary Disease: Findings From “The Virtual Hospital Trial”.
Telemed e-Health (2015) 21(5):364–73. doi:10.1089/tmj.2014.0098
279. Olivari Z, Giacomelli S, Gubian L, Mancin S, Visentin E, Di Francesco V, et al.
The Effectiveness of Remote Monitoring of Elderly Patients After
Hospitalisation for Heart Failure: The Renewing Health European Project.
Int J Cardiol (2018) 257:137–42. doi:10.1016/j.ijcard.2017.10.099
280. Tieu C, Chaudhry R, Schroeder DR, Bock FA, Hanson GJ, Tung EE.
Utilization of Patient Electronic Messaging to Promote Advance Care
Planning in the Primary Care Setting. Am J Hosp Palliat Med (2017)
34(7):665–70. doi:10.1177/1049909116650237
281. Valdivieso B, García-Sempere A, Sanfélix-Gimeno G, Faubel R, Librero J,
Soriano E, et al. The Effect of Telehealth, Telephone Support or Usual Care on
Quality of Life, Mortality and Healthcare Utilization in Elderly High-Risk
Patients With Multiple Chronic Conditions. A Prospective Study. Med Clin
(Barc) (2018) 151(8):308–14. doi:10.1016/j.medcli.2018.03.013
282. Barnason S, Zimmerman L, Nieveen J, Hertzog M. Impact of a Telehealth
Intervention to Augment Home Health Care on Functional and Recovery
Outcomes of Elderly Patients Undergoing Coronary Artery Bypass Grafting.
Heart Lung J Acute Crit Care (2006) 35(4):225–33. doi:10.1016/j.hrtlng.2005.
10.003
283. Pandey A, Choudhry N. An M-Health Application of Daily Text Messages to
Address Forgetfulness as Contributor to Non-Adherence to Medications
Post-Myocardial Infarction. In: Welcome to the Future: Technological
Changes to Cardiovascular Health and Health Care (2015).
284. Guo Y, Lip GYH. Improving Outcomes With Integrated Care of Patients
With Atrial Fibrillation and Multimorbidity Using Mobile Health
Technology: A Report From the mAFA II Trial. Available from: https://
academic.oup.com/eurheartj/article/42/Supplement_1/ehab724.3114/
6391995 (Accessed July 5, 2023).
285. Zimmerman L, Barnason S, Nieveen J, Schmaderer M. Symptom
Management Intervention in Elderly Coronary Artery Bypass Graft Patients.
286. Shany T, Hession M, Pryce D, Galang R, Roberts M, Lovell N, et al. Home
Telecare Study for Patients With Chronic Lung Disease in the Sydney West
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 160775619
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
Area Health Service. In: Studies in Health Technology and Informatics.IOS
Press (2010). p. 139–48. doi:10.3233/978-1-60750-659-1-139
287. Fottrell E, Ahmed N, Morrison J, Kuddus A, Shaha SK, King C, et al.
Community Groups or Mobile Phone Messaging to Prevent and Control
Type 2 Diabetes and Intermediate Hyperglycaemia in Bangladesh (DMagic):
A Cluster-Randomised Controlled Trial. Lancet Diabetes Endocrinol (2019)
7(3):200–12. doi:10.1016/S2213-8587(19)30001-4
288. De Kluiver EP, Van Der Velde AE, Meindersma EP, Prins LF, Wilhelm M,
Iliou MC, et al. A European Randomised Controlled Trial for M-Health
Guided Cardiac Rehabilitation in the Elderly; Results of the EU-CaRE RCT
Study. In: ESC Congress 2019 Together with World Congress of Cardiology
(2019). Available from: https://academic.oup.com/eurheartj/article/40/
Supplement_1/ehz748.0674/5597461 (Accessed July 5, 2023).
289. Yu F, Mathiason MA, Johnson K, Gaugler JE, Klassen D. Memory Matters in
Dementia: Efficacy of a Mobile Reminiscing Therapy App. Alzheimer’s
Demen Translational Res Clin Interventions (2019) 5:644–51. doi:10.1016/
j.trci.2019.09.002
290. Gschwind YJ, Eichberg S, Ejupi A, de Rosario H, Kroll M, Marston HR, et al.
ICT-Based System to Predict and Prevent Falls (iStoppFalls): Results From an
International Multicenter Randomized Controlled Trial. Eur Rev Aging Phys
Activity (2015) 12(1):10. doi:10.1186/s11556-015-0155-6
291. Núñez-Naveira L, Alonso-Búa B, De Labra C, Gregersen R, Maibom K, Mojs
E, et al. UnderstAID, an ICT Platform to Help Informal Caregivers of People
With Dementia: A Pilot Randomized Controlled Study. Biomed Res Int
(2016) 2016:5726465. doi:10.1155/2016/5726465
292. Brath H, Morak J, Kästenbauer T, Modre-Osprian R, Strohner-
Kästenbauer H, Schwarz M, et al. Mobile Health (mHealth) Based
Medication Adherence Measurement - A Pilot Trial Using Electronic
Blisters in Diabetes Patients. Br J Clin Pharmacol (2013) 76(S1):47–55.
doi:10.1111/bcp.12184
293. Chan MHM, Keung DTF, Lui SYT, Cheung RTH. A Validation Study of a
Smartphone Application for Functional Mobility Assessment of the Elderly.
Hong Kong Physiother J (2016) 35:1–4. doi:10.1016/j.hkpj.2015.11.001
294. Wade M, Desai A, Spettell CM, Snyder AD, McGowan-Stackewicz V,
Kummer PJ, et al. Telemonitoring With Case Management for Seniors
With Heart Failure. Am J Manag Care (2011) 17(3):e71–e79.
295. Shapira S, Yeshua-Katz D, Cohn-Schwartz E, Aharonson-Daniel L, Sarid O,
Clarfield AM. A Pilot Randomized Controlled Trial of a Group Intervention
via Zoom to Relieve Loneliness and Depressive Symptoms Among Older
Persons During the COVID-19 Outbreak. Internet Interv (2021) 24. doi:10.
1016/j.invent.2021.100368
296. Chan JYC, Chan TK, Wong MPF, Cheung RSM, Yiu KKL, Tsoi KKF. Effects
of Virtual Reality on Moods in Community Older Adults. A Multicenter
Randomized Controlled Trial. Int J Geriatr Psychiatry (2020) 35(8):926–33.
doi:10.1002/gps.5314
297. Pérez-Rodríguez R, Guevara-Guevara T, Moreno-Sánchez PA, Villalba-Mora
E, Valdés-Aragonés M, Oviedo-Briones M, et al. Monitoring and
Intervention Technologies to Manage Diabetic Older Persons: The
CAPACITY Case—A Pilot Study. Front Endocrinol (Lausanne) (2020) 13:
11. doi:10.3389/fendo.2020.00300
298. Guo Y, Chen Y, Lane DA, Liu L, Wang Y, Lip GYH. Mobile Health
Technology for Atrial Fibrillation Management Integrating Decision
Support, Education, and Patient Involvement: mAF App Trial. Am J Med
(2017) 130(12):1388–96. doi:10.1016/j.amjmed.2017.07.003
299. Li X, Li T, Chen J, Xie Y, An X, Lv Y, et al. A Wechat-Based Self-Management
Intervention for Community Middle-Aged and Elderly Adults With
Hypertension in Guangzhou, China: A Cluster-Randomized Controlled
Trial. Int J Environ Res Public Health (2019) 16(21):4058. doi:10.3390/
ijerph16214058
300. Finkelstein SM, Speedie SM, Zhou X, Potthoff S, Ratner ER. Perception,
Satisfaction and Utilization of the VALUE Home Telehealth Service.
J Telemed Telecare (2011) 17(6):288–92. doi:10.1258/jtt.2011.100712
301. Guo Y, Lane DA, Chen Y, Lip GYHmAF-App II Trial investigators. Regular
Bleeding Risk Assessment Associated With Reduction in Bleeding Outcomes:
The mAFA-II Randomized Trial. Am J Med (2020) 133(10):1195–202.e2.
doi:10.1016/j.amjmed.2020.03.019
302. Hermes S, Lurz M, Böhm M, Krcmar H. Evaluating the Usability and Usefulness
of a Mobile Application for Training Visual Mnemonic Techniques in
Participants With Subjective Cognitive Decline: An Exploratory Pilot Study.
In: Procedia Computer Science. Elsevier B.V. (2019). p. 439–44.
303. Mira JJ, Navarro I, Botella F, Borrás F, Nuño-Solinís R, Orozco D, et al. A
Spanish Pillbox App for Elderly Patients Taking Multiple Medications:
Randomized Controlled Trial. J Med Internet Res (2014) 16(4):e99. doi:10.
2196/jmir.3269
304. Mertens A, Brandl C, Miron-Shatz T, Schlick C, Neumann T, Kribben A, et al.
A Mobile Application Improves Therapy-Adherence Rates in Elderly Patients
Undergoing Rehabilitation A Crossover Design Study Comparing
Documentation via iPad With Paper-Based Control. Medicine
(United States) (2016) 95(36):e4446. doi:10.1097/MD.0000000000004446
305. Robert P, Manera V, Derreumaux A, Montesino MFY, Leone E, Fabre R, et al.
Efficacy of a Web App for Cognitive Training (MEMO) Regarding Cognitive
and Behavioral Performance in People With Neurocognitive Disorders:
Randomized Controlled Trial. J Med Internet Res (2020) 22(3):e17167.
doi:10.2196/17167
306. Ki JY, Jo SR, Cho KS, Park JE, Cho JW, Jang JH. Effect of Oral Health
Education Using a Mobile App (Ohema) on the Oral Health and Swallowing-
Related Quality of Life in Community-Based Integrated Care of the Elderly: A
Randomized Clinical Trial. Int J Environ Res Public Health (2021) 18(21):
11679. doi:10.3390/ijerph182111679
307. Snoek JA, Prescott EI, Van Der Velde AE, Eijsvogels TMH, Mikkelsen N,
Prins LF, et al. Effectiveness of Home-Based Mobile Guided Cardiac
Rehabilitation as Alternative Strategy for Nonparticipation in Clinic-Based
Cardiac Rehabilitation Among Elderly Patients in Europe: A Randomized
Clinical Trial. JAMA Cardiol (2021) 6(4):463–8. doi:10.1001/jamacardio.
2020.5218
308. Yu J, Jeon H, Song C, Han W. Speech Perception Enhancement in Elderly
Hearing Aid Users Using an Auditory Training Program for Mobile Devices.
Geriatr Gerontol Int (2017) 17(1):61–8. doi:10.1111/ggi.12678
309. Tchalla AE, Lachal F, Cardinaud N, Saulnier I, Rialle V, Preux PM, et al.
Preventing and Managing Indoor Falls With Home-Based Technologies in
Mild and Moderate Alzheimer’s Disease Patients: Pilot Study in a
Community Dwelling. Dement Geriatr Cogn Disord (2013) 36(3–4):
251–61. doi:10.1159/000351863
310. Berkman P, Heinik J, Rosenthal M, Burke M. Supportive Telephone Outreach
as an Interventional Strategy for Elderly Patients in a Period of Crisis. Soc
Work Health Care (1999) 28(4):63–76. doi:10.1300/J010v28n04_05
311. Tchalla AE, Lachal F, Cardinaud N, Saulnier I, Bhalla D, Roquejoffre A, et al.
Efficacy of Simple Home-Based Technologies Combined With a Monitoring
Assistive Center in Decreasing Falls in a Frail Elderly Population (Results of
the Esoppe Study). Arch Gerontol Geriatr (2012) 55(3):683–9. doi:10.1016/j.
archger.2012.05.011
312. Upatising B, Hanson GJ, Kim YL, Cha SS, Yih Y, Takahashi PY. Effects of
Home Telemonitoring on Transitions Between Frailty States and Death for
Older Adults: A Randomized Controlled Trial. Int J Gen Med (2013) 6:
145–51. doi:10.2147/IJGM.S40576
313. Read Paul L, Salmon C, Sinnarajah A, Spice R. Web-Based
Videoconferencing for Rural Palliative Care Consultation With Elderly
Patients at Home. Support Care Cancer (2019) 27(9):3321–30. doi:10.
1007/s00520-018-4580-8
314. Chang R, Low H, McDonald A, Park G, Song X. Web-Based Software
Applications for Frailty Assessment in Older Adults: A Scoping Review of
Current Status With Insights Into Future Development. BMC Geriatr (2021)
21(1):723. doi:10.1186/s12877-021-02660-6
315. Kim HH, Lee SH, Cho NB, You H, Choi T, Kim J. User-Dependent Usability
and Feasibility of a Swallowing Training Mhealth App for Older Adults:
Mixed Methods Pilot Study. JMIR Mhealth Uhealth (2020) 8(7):e19585.
doi:10.2196/19585
316. Chan WM, Woo J, Hui E, Hjelm NM. The Role of Telenursing in the
Provision of Geriatric Outreach Services to Residential Homes in Hong Kong.
J Telemed Telecare (2001) 7:38–46. doi:10.1258/1357633011936129
317. Richard S, Lavandier K, Zioueche Y, Pelletier S, Vezain A, Ducrocq X. Use of
Telemedicine to Manage Severe Ischaemic Strokes in a Rural Area With an Elderl y
Population. Neurol Sci (2014) 35(5):683–5. doi:10.1007/s10072-013-1577-4
318. Güttler J, Georgoulas C, Linner T, Bock T. Towards a Future Robotic Home
Environment: A Survey. Gerontology (2015) 61:268–80. doi:10.1159/
000363698
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 160775620
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
319. Ohligs M, Stocklassa S, Rossaint R, Czaplik M, Follmann A. Employment of
Telemedicine in Nursing Homes: Clinical Requirement Analysis, System
Development and First Test Results. Clin Interv Aging (2020) 15:1427–37.
doi:10.2147/CIA.S260098
320. De Luca R, Bramanti A, De Cola MC, Trifiletti A, Tomasello P, Torrisi M,
et al. Tele-Health-Care in the Elderly Living in Nursing Home: The First
Sicilian Multimodal Approach. Aging Clin Exp Res (2016) 28(4):753–9.
doi:10.1007/s40520-015-0463-8
321. Matsumoto Y, Kizaki H, Ikeda Y, Nakamura S, Kina S, Nagai T, et al.
Telepharmacy in Mountainous Depopulated Areas of Japan: An Exploratory
Interview Study of Patients’Perspectives. Drug Discov Ther (2021) 15(6):
337–40. doi:10.5582/ddt.2021.01102
322. Persson HL, Lyth J, Lind L. The Health Diary Telemonitoring and Hospital-
Based Home Care Improve Quality of Life Among Elderly Multimorbid Copd
and Chronic Heart Failure Subjects. Int J COPD (2020) 15:527–41. doi:10.
2147/COPD.S236192
323. Goodman-Casanova JM, Dura-Perez E, Guzman-Parra J, Cuesta-Vargas A,
Mayoral-Cleries F. Telehealth Home Support During COVID-19
Confinement for Community-Dwelling Older Adults With Mild Cognitive
Impairment or Mild Dementia: Survey Study. J Med Internet Res (2020) 22:
e19434. doi:10.2196/19434
324. Hao JF, Cui HM, Han JM, Bai JX, Song X, Cao N. Tele-ICU: The Way
Forward in Geriatric Care? In: Aging Clinical and Experimental Research.
Springer International Publishing (2014). 26:575–82.
325. Choo CC, Kuek JHL, Burton AAD. Smartphone Applications for
Mindfulness Interventions With Suicidality in Asian Older Adults: A
Literature Review. Int J Environ Res Public Health MDPI AG (2018) 15:
2810. doi:10.3390/ijerph15122810
326. Sadek I, Mohktari M. Nonintrusive Remote Monitoring of Sleep in
Home-Based Situation. JMedSyst(2018) 42(4):64. doi:10.1007/
s10916-018-0917-6
327. Aanesen M, Lotherington AT, Olsen F. Smarter Elder Care? A Cost-
Effectiveness Analysis of Implementing Technology in Elder Care. Health
Inform J (2011) 17(3):161–72. doi:10.1177/1460458211409716
328. Ba rnes N, S enior S W, Tom R, R esear cher M, R esear cher JN, Reeves A.
Liverpool Telecare Pilot: Case Studies Mark Buckland Senior
Researcher.
329. Bartels SJ, DiMilia PR, Fortuna KL, Naslund JA. Integrated Care for Older
Adults With Serious Mental Illness and Medical Comorbidity: Evidence-
Based Models and Future Research Directions. Psychiatr Clin North America
(2018) 41:153–64. doi:10.1016/j.psc.2017.10.012
330. Li F, Harmer P, Voit J, Chou LS. Implementing an Online Virtual Falls
Prevention Intervention During a Public Health Pandemic for Older Adults
With Mild Cognitive Impairment: A Feasibility Trial. Clin Interv Aging
(2021) 16:973–83. doi:10.2147/CIA.S306431
331. de Batlle J, Massip M, Vargiu E, Nadal N, Fuentes A, Bravo MO, et al.
Implementing Mobile Health-Enabled Integrated Care for Complex Chronic
Patients: Intervention Effectiveness and Cost-Effectiveness Study. JMIR
Mhealth Uhealth (2021) 9(1):e22135. doi:10.2196/22135
332. Matz O, Villa L, Lecce C, Olaciregui Dague K, Haeger A, Bollheimer LC, et al.
Implementation of a Telemedicine Geriatric Co-Evaluation in the Emergency
Department: A Prospective Pilot Study. Swiss Med Wkly (2021) 151:w20500.
doi:10.4414/smw.2021.20500
333. Nogués X, Sánchez-Martinez F, Castells X, Díez-Pérez A, Sabaté RA, Petit I,
et al. Hospital-at-Home Expands Hospital Capacity During COVID-19
Pandemic. J Am Med Dir Assoc (2021) 22(5):939–42. doi:10.1016/j.jamda.
2021.01.077
334. Rubegni P, Nami N, Cevenini G, Poggiali S, Hofmann- Wellenhof R, Massone
C, et al. Geriatric Teledermatology: Store-And-Forward vs. Face-To-Face
Examination. J Eur Acad Dermatol Venereol (2011) 25(11):1334–9. doi:10.
1111/j.1468-3083.2011.03986.x
335. Kikuchi A, Taniguchi T, Nakamoto K, Sera F, Ohtani T, Yamada T, et al.
Feasibility of Home-Based Cardiac Rehabilitation Using an Integrated
Telerehabilitation Platform in Elderly Patients With Heart Failure: A Pilot
Study. J Cardiol (2021) 78(1):66–71. doi:10.1016/j.jjcc.2021.01.010
336. Hoffmann W, van den Berg N, Thyrian JR, Fiss T. Frequency and
Determinants of Potential Drug-Drug Interactions in an Elderly
Population Receiving Regular Home Visits by GPs - Results of the Home
Medication Review in the AGnES-Studies. Pharmacoepidemiol Drug Saf
(2011) 20(12):1311–8. doi:10.1002/pds.2224
337. Jelcic N, Agostini M, Meneghello F, Bussè C, Parise S, Galano A, et al.
Feasibility and Efficacy of Cognitive Telerehabilitation in Early Alzheimer’s
Disease: A Pilot Study. Clin Interv Aging (2014) 9:1605–11. doi:10.2147/CIA.
S68145
338. Skjæret N, Nawaz A, Morat T, Schoene D, Helbostad JL, Vereijken B. Exercise
and Rehabilitation Delivered Through Exergames in Older Adults: An
Integrative Review of Technologies, Safety and Efficacy. Int J Med Inform
(2016) 85:1–16. doi:10.1016/j.ijmedinf.2015.10.008
339. Choi H, Kim J. Effectiveness of Telemedicine: Videoconferencing for Low-
Income Elderly With Hypertension. Telemed e-Health (2014) 20(12):
1156–64. doi:10.1089/tmj.2014.0031
340. Scherrenberg M, Zeymer U, Schneider S, Van der Velde AE, Wilhelm M,
Van’t Hof AWJ, et al. EU-CaRE Study: Could Exercise-Based Cardiac
Telerehabilitation Also Be Cost-Effective in Elderly? Int J Cardiol (2021)
340:1–6. doi:10.1016/j.ijcard.2021.08.024
341. Persson HL, Lyth J, Wiréhn AB, Lind L. Elderly Patients With COPD Require
More Health Care Than Elderly Heart Failure Patients Do in a Hospital-
Based Home Care Setting. Int J COPD (2019) 14:1569–81. doi:10.2147/
COPD.S207621
342. Koceska N, Koceski S, Zobel PB, Trajkovik V, Garcia N. A Telemedicine
Robot System for Assisted and Independent Living. Sensors (Switzerland)
(2019) 19(4):834. doi:10.3390/s19040834
343. García-villamil G, Neira-álvarez M, Huertas-hoyas E, Ramón-jiménez A,
Rodríguez-sánchez C. A Pilot Study to Validate a Wearable Inertial Sensor for
Gait Assessment in Older Adults With Falls. Sensors (2021) 21(13):4334.
doi:10.3390/s21134334
344. Tegeler C, Beyer AK, Hoppmann F, Ludwig V, Kessler E-M. Current State of
Research on Psychotherapy for Home-Living Vulnerable Older Adults With
Depression. Z Gerontologie Geriatrie (2020) 53:721–7. doi:10.1007/s00391-
020-01805-3
345. Kraft M, Van Den Berg N, Kraft K, Schmekel S, Gärtner S, Krüger J, et al.
Development of a Telemedical Monitoring Concept for the Care of
Malnourished Geriatric Home-Dwelling Patients: A Pilot Study. Maturitas
(2012) 72(2):126–31. doi:10.1016/j.maturitas.2012.02.011
346. Abbas M, Somme D, Le Bouquin Jeannès R. D-SORM: A Digital Solution for
Remote Monitoring Based on the Attitude of Wearable Devices. Comput
Methods Programs Biomed (2021) 208. doi:10.1016/j.cmpb.2021.106247
347. Li C, Neugroschl J, Zhu CW, Aloysi A, Schimming CA, Cai D, et al. Design
Considerations for Mobile Health Applications Targeting Older Adults.
J Alzheimer’sDis(2021) 79(1):1–8. doi:10.3233/JAD-200485
348. Dang Ãwz S, Ma F, Nedd N, Florez Ãw H, Ãw EA, Roos Ãwz BA. Care
Coordination and Telemedicine Improves Glycaemic Control in Ethnically
Diverse Veterans With Diabetes. J Telemed Telecare (2007) 13:263–7. doi:10.
1258/135763307781458958
349. Gamito P, Oliveira J, Morais D, Coelho C, Santos N, Alves C, et al.
Cognitive Stimulation of Elderly Individuals With Instrumental Virtual
Reality-Based Activities of Daily Life: Pre-Post Treatment Study.
Cyberpsychol Behav Soc Netw (2019) 22(1):69–75. doi:10.1089/cyber.
2017.0679
350. Brunetti ND, De Gennaro L, Pellegrino PL, Dellegrottaglie G, Antonelli G, Di
Biase M. Atrial Fibrillation With Symptoms Other Than Palpitations:
Incremental Diagnostic Sensitivity With At-Home Tele-Cardiology
Assessment for Emergency Medical Service. Eur J Prev Cardiol (2012)
19(3):306–13. doi:10.1177/1741826711406060
351. Göransson C, Wengström Y, Hälleberg-Nyman M, Langius-Eklöf A, Ziegert K,
Blomberg K. An App for Supporting Older People Receiving Home Care -
Usage, Aspects of Health and Health Literacy: A Quasi-Experimental Study.
BMC Med Inform Decis Mak (2020) 20(1):226. doi:10.1186/s12911-020-01246-3
352. Sugihara T, Fujinami T, Phaal R, Ikawa Y. A Technology Roadmap of
Assistive Technologies for Dementia Care in Japan. Dementia (2015)
14(1):80–103. doi:10.1177/1471301213493798
353. Wong YK, Hui E, Woo J. A Community-Based Exercise Programme for
Older With Knee Pain Using Telemedicine. J Telemed Telecare (2005) 11:
310–5. doi:10.1258/1357633054893346
354. Moriichi K, Fujiya M, Ro T, Ota T, Nishimiya H, Kodama M, et al. A Novel
Telerehabilitation With an Educational Program for Caregivers Using Telelecture
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 160775621
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
Is Feasible for Fall Prevention in Elderly People: A Case Series. Medicine
(United States) (2022) 101(6):E27451. doi:10.1097/MD.0000000000027451
355. Fasilis T, Patrikelis P, Siatouni A, Alexoudi A, Veretzioti A, Zachou L, et al. A
Pilot Study and Brief Overview of Rehabilitation via Virtual Environment in
Patients Suffering From Dementia. Psychiatriki (2018) 29(1):42–51. doi:10.
22365/jpsych.2018.291.42
356. Fallah M, Yasini M. A Medication Reminder Mobile App: Does It Work for
Different Age Ranges. Stud Health Technol Inform (2017) 235:68–72.
357. Audiau S, Schmoll L, Blanc F. Déplacements et Hospitalisations Évités Grâce
aux Téléconsultations pour les Patients Hébergés en Ehpad. Geriatr Psychol
Neuropsychiatr Vieil (2021) 19(4):447–58. doi:10.1684/pnv.2021.0990
358. Andrès E, Talha S, Benyahia A, Keller O, Hajjam M, Moukadem A, et al.
Expérimentation d’une Plateforme de Détection Automatisée des Situations à
Risque de Décompensation Cardiaque (Plateforme E-Care) dans une Unité
de Médecine Interne. Revue de Medecine Interne (2016) 37(9):587–93. doi:10.
1016/j.revmed.2016.01.004
359. Brondi R, Banno F, Bendinelli S, Castelli C, Mancina A, Marinoni M, et al.
Drugs Don’t Work in Patients Who Don’t Take Them: Dr. Drin, the New ICT
Paradigm for Chronic Therapies. Stud Health Technol Inform (2013) 191:
100–4.
360. Schofield RS, Kline SE, Schmalfuss CM, Carver HM, Aranda JM, Pauly DF,
et al. Early Outcomes of a Care Coordination-Enhanced Telehome Care
Program for Elderly Veterans With Chronic Heart Failure. Telemed J E
Health (2005) 11:20–7. doi:10.1089/tmj.2005.11.20
361. Corcoran H, Hui E, Woo J. The Acceptability of Telemedicine for Podiatric
Intervention in a Residential Home for the Elderly.
362. Vestal L, Smith-Olinde L, Hicks G, Hutton T, Hart J, Jr. Efficacy of Language
Assessment in Alzheimer’s Disease: Comparing In-Person Examination and
Telemedicine. Clin Interv Aging (2006) 1(4):467–71. doi:10.2147/ciia.2006.1.
4.467
363. Duke C. The Frail Elderly Community–Based Case Management Project.
Geriatr Nurs (Minneap) (2005) 26(2):122–7. doi:10.1016/j.gerinurse.2005.
03.003
364. Moon Chae Y, Heon Lee J, Hee Ho S, Ja Kim H, Hong Jun K, Uk Won J.
Patient Satisfaction With Telemedicine in Home Health Services for the
Elderly. Int J Med Inform (2001) 61:167–73. doi:10.1016/s1386-5056(01)
00139-3
365. Hui E, Woo J, Hjelm M, Zhang YT, Tsui HT. Clinical Section Telemedicine: A
Pilot Study in Nursing Home Residents (2001). Available from: https://www.
karger.com/journals/ger (Accessed July 5, 2023).
366. Demiris G, Shigaki CL, Schopp LH. An Evaluation Framework for a Rural
Home-Based Telerehabilitation Network. J Med Syst (2005) 29:595–603.
doi:10.1007/s10916-005-6127-z
367. Schweickert PA, Rutledge CM, Cattell-Gordon DC, Div MW, Solenski NJ,
Jensen ME, et al. Telehealth Stroke Education for Rural Elderly Virginians.
368. Chumbler NR, Mann WC, Wu S, Schm id A, Kobb R. Veterans Affairs Health
Services Research and Development/Rehabilitation Research and
Development, Rehabilitation Outcomes Research Center (RORC), North
Florida/South Georgia Veterans Health System, 6 Tech Care Coordination
Program, North Florida/South Georgia Veterans Health System.
Telemedicine Journal e-Health (2004) 10.
369. Citoni B, Figliuzzi I, Presta V, Volpe M, Tocci G. Home Blood Pressure and
Telemedicine: A Modern Approach for Managing Hypertension During and
After COVID-19 Pandemic. Vol. 29, High Blood Pressure and
Cardiovascular Prevention. Adis (2022). doi:10.1007/s40292-021-00492-4
370. Rehm IC, MusićS, Carlsson A, Scanlan F, Silver M, Bhar SS. Integrating Web-
Based Applications Into Aged Care: Two Case Studies and Discussion. J Clin
Psychol Med Settings (2016) 23(3):285–97. doi:10.1007/s10880-016-9457-8
371. Fatyga E, Dzie
¸gielewska-Ge
¸siak S, WierzgońA, Stołtny D, Muc-WierzgońM
(2020).The Coronavirus Disease 2019 Pandemic: Telemedicine in Elderly
Patients With Type 2 Diabetes Polish Arch Intern Med Medycyna Praktyczna
130. 452–4. doi:10.20452/pamw.15346
372. Porath A, Irony A, Borobick AS, Nasser S, Malachi A, Fund N, et al. Maccabi
Proactive Telecare Center for Chronic Conditions - The Care of Frail Elderly
Patients. Isr J Health Pol Res (2017) 6(1):68. doi:10.1186/s13584-017-0192-x
373. Batsis JA, Pletcher SN, Stahl JE. Telemedicine and Primary Care Obesity
Management in Rural Areas - Innovative Approach for Older Adults? Vol.
BMC Geriatr (2017) 17:6. doi:10.1186/s12877-016-0396-x
374. Cardozo L, Steinberg J. Telemedicine for Recently Discharged Older Patients.
Telemed e-Health (2010) 16:49–55. doi:10.1089/tmj.2009.0058
375. Lee J, Kim J, Jeong S, Choi H, Jin M, Kim S. A Health Recreation Program for
U-Healthcare Clients: Effects on Mental Health. Telemed e-Health (2014)
20(10):930–5. doi:10.1089/tmj.2013.0323
376. Lattanzio F, Abbatecola AM, Bevilacqua R, Chiatti C, Corsonello A, Rossi L,
et al. Advanced Technology Care Innovation for Older People in Italy:
Necessity and Opportunity to Promote Health and Wellbeing. JAmMed
Dir Assoc (2014) 15(7):457–66. doi:10.1016/j.jamda.2014.04.003
377. Melander-Wikman A, Fältholm Y, Gard G. Safety vs. Privacy: Elderly
Persons’Experiences of a Mobile Safety Alarm. Health Soc Care
Community (2008) 16(4):337–46. doi:10.1111/j.1365-2524.2007.00743.x
378. Konstantinidis EI, Billis AS, Mouzakidis CA, Zilidou VI, Antoniou PE,
Bamidis PD. Design, Implementation, and Wide Pilot Deployment of
FitForAll: An Easy to Use Exergaming Platform Improving Physical
Fitness and Life Quality of Senior Citizens. IEEE J Biomed Health Inform
(2016) 20(1):189–200. doi:10.1109/JBHI.2014.2378814
379. Dang S, Dimmick S, Kelkar G, Evaluating the Evidence Base for the Use of
Home Telehealth Remote Monitoring in Elderly With Heart Failure. Telemed
J e-health 15 (2009). p. 783–96. doi:10.1089/tmj.2009.0028
380. Chen YH, Lin YH, Hung CS, Huang CC, Yeih DF, Chuang PY, et al. Clinical
Outcome and Cost-Effectiveness of a Synchronous Telehealth Service for
Seniors and Nonseniors With Cardiovascular Diseases: Quasi-Experimental
Study. J Med Internet Res (2013) 15(4):e87. doi:10.2196/jmir.2091
381. Maresca G, De Cola MC, Caliri S, De Luca R, Manuli A, Scarcella I, et al.
Moving Towards Novel Multidisciplinary Approaches for Improving Elderly
Quality of Life: The Emerging Role of Telemedicine in Sicily. J Telemed
Telecare (2019) 25(5):318–24. doi:10.1177/1357633X17753057
382. Carolan K, Grabowski DC, Mehrotra A, Hatfield LA. Use of Telemedicine for
Emergency Triage in an Independent Senior Living Community: Mixed
Methods Study. J Med Internet Res (2020) 22(12):e23014. doi:10.2196/23014
383. Stutzel MC, Filippo MP, Sztajnberg A, Da Costa RMEM, Brites ADS, Da
Motta LB, et al. Multi-Part Quality Evaluation of a Customized Mobile
Application for Monitoring Elderly Patients With Functional Loss and
Helping Caregivers. BMC Med Inform Decis Mak (2019) 19(1):140. doi:10.
1186/s12911-019-0839-3
384. Willard S, Cremers G, Man YP, Van Rossum E, Spreeuwenberg M, De Witte
L. Development and Testing of an Online Community Care Platform for Frail
Older Adults in the Netherlands: A User-Centred Design. BMC Geriatr
(2018) 18(1):87. doi:10.1186/s12877-018-0774-7
385. Torp S, Hanson E, Hauge S, Ulstein I, Magnusson L. A Pilot Study of How
Information and Communication Technology May Contribute to Health
Promotion Among Elderly Spousal Carers in Norway. Health Soc Care
Community (2008) 16(1):75–85. doi:10.1111/j.1365-2524.2007.00725.x
386. Marinello R, Brunetti E, Luppi C, Bianca D, Tibaldi V, Isaia G, et al.
Telemedicine-Assisted Care of an Older Patient With COVID-19 and
Dementia: Bridging the Gap Between Hospital and Home. Aging Clin Exp
Res (2021) 33(6):1753–6. doi:10.1007/s40520-021-01875-2
387. Shah MN, Gillespie SM, Wood N, Wasserman EB, Nelson DL, Dozier A, et al.
High-intensity Telemedicine-Enhanced Acute Care for Older Adults: An
Innovative Healthcare Delivery Model. J Am Geriatr Soc (2013) 61(11):
2000–7. doi:10.1111/jgs.12523
388. Gillespie SM, Shah MN, Wasserman EB, Wood NE, Wang H, Noyes K, et al.
Reducing Emergency Department Utilization through Engagement in
Telemedicine by Senior Living Communities. Engagement Telemed by
Senior Living Communities. Telemed e-Health (2016) 22(6):489–96. doi:10.
1089/tmj.2015.0152
389. Gaspar AGM, Lapão LV. A Digital Health Service for Elderly People With
Balance Disorders and Risk of Falling: A Design Science Approach. Int J
Environ Res Public Health (2022) 19(3):1855. doi:10.3390/ijerph19031855
390. Haimi M, Gesser-Edelsburg A. Application and Implementation of
Telehealth Services Designed for the Elderly Population During the
COVID-19 Pandemic: A Systematic Review. Health Inform J (2022) 28(1):
14604582221075561. doi:10.1177/14604582221075561
391. Shah MN, Wasserman EB, Wang H, Gillespie SM, Noyes K, Wood NE, et al.
High-Intensity Telemedicine Decreases Emergency Department Use by
Senior Living Community Residents. Telemed e-Health (2016) 22(3):
251–8. doi:10.1089/tmj.2015.0103
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 160775622
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
392. Savolainen L, Hanson E, Magnusson L, Gustavsson T. An Internet-Based
Videoconferencing System for Supporting Frail Elderly People and Their
Carers. J Telemed Telecare (2008) 14(2):79–82. doi:10.1258/jtt.2007.070601
393. Ngaruiya C, Oti S, Van De Vijver S, Kyobutungi C, Free C. Target Women:
Equity in Access to mHealth Technology in a Non-Communicable Disease
Care Intervention in Kenya. PLoS One (2019) 14(9):e0220834. doi:10.1371/
journal.pone.0220834
394. Gillespie SM, Wasserman EB, Wood NE, Wang H, Dozier A, Nelson D, et al.
High-Intensity Telemedicine Reduces Emergency Department Use by Older
Adults With Dementia in Senior Living Communities. J Am Med Dir Assoc
(2019) 20(8):942–6. doi:10.1016/j.jamda.2019.03.024
395. Sheeran T, Rabinowitz T, Lotterman J, Reilly CF, Brown S, Donehower P,
et al. Feasibility and Impact of Telemonitor-Based Depression Care
Management for Geriatric Homecare Patients. Telemed e-Health. (2011)
17(8):620–6. doi:10.1089/tmj.2011.0011
396. Ramos-Ros R, Mateos R, Lojo D, Conn DK, Patterson T.
Telepsychogeriatrics: A New Horizon in the Care of Mental Health
Problems in the Elderly. Int Psychogeriatrics (2012) 24:1708–24. doi:10.
1017/S1041610212000981
397. Marschollek M, Mix S, Wolf KH, Effertz B, Haux R, Steinhagen-Thiessen E.
ICT-Based Health Information Services for Elderly People: Past Experiences,
Current Trends, and Future Strategies. Med Inform Internet Med (2007)
32(4):251–61. doi:10.1080/14639230701692736
398. De Cola MC, De Luca R, Bramanti A, Bertè F, Bramanti P, Calabrò RS. Tele-
Health Services for the Elderly: A Novel Southern Italy Family Needs-
Oriented Model. J Telemed Telecare (2016) 22(6):356–62. doi:10.1177/
1357633X15604290
399. Adami I, Foukarakis M, Ntoa S, Partarakis N, Stefanakis N, Koutras G, et al.
Monitoring Health Parameters of Elders to Support Independent Living and
Improve Their Quality of Life. Sensors (Switzerland) (2021) 21(2):517–36.
doi:10.3390/s21020517
400. Zulfiqar AA, Hajjam A, Andrès E. Focus on the Different Projects of
Telemedicine Centered on the Elderly in France. Curr Aging Sci (2019)
11(4):202–15. doi:10.2174/1874609812666190304115426
401. Mulasso A, Brustio PR, Rainoldi A, Zia G, Feletti L, N’Dja A, et al. A
Comparison Between an ICT Tool and a Traditional Physical Measure for
Frailty Evaluation in Older Adults. BMC Geriatr (2019) 19(1):88. doi:10.
1186/s12877-019-1089-z
402. Smith AC, Gray LC. Telemedicine Across the Ages. Med J Aust (2009) 190(1):
15–9. doi:10.5694/j.1326-5377.2009.tb02255.x
403. Scalvini S, Bernocchi P, Zanelli E, Comini L, Vitacca M, Maugeri Centre for
Telehealth and Telecare MCTT. Maugeri Centre for Telehealth and Telecare:
A Real-Life Integrated Experience in Chronic Patients. J Telemed Telecare
(2018) 24(7):500–7. doi:10.1177/1357633X17710827
404. Gentry MT, Lapid MI, Rummans TA. Geriatric Telepsychiatry: Systematic
Review and Policy Considerations. Am J Geriatr Psychiatry (2019) 27(2):
109–27. doi:10.1016/j.jagp.2018.10.009
405. Elie-Lefebvre C, Schuster JP, Limosin F. Télépsychiatrie: Quelle Place dans les
Soins des Sujets Âgés. Geriatr Psychol Neuropsychiatr Vieil (2016) 14(3):
325–31. doi:10.1684/pnv.2016.0625
406. Karunanithi M. Monitoring Technology for the Elderly Patient. Expert Rev
Med Devices (2007) 4:267–77. doi:10.1586/17434440.4.2.267
407. Lyth J, Lind L, Persson HL, Wiréhn AB. Can a Telemonitoring System Lead to
Decreased Hospitalization in Elderly Patients? J Telemed Telecare (2021)
27(1):46–53. doi:10.1177/1357633X19858178
408. Tse MMY, Choi KCY, Leung RSW. E-Health for Older People: The Use of
Technology in Health Promotion. Cyberpsychology Behav (2008) 11(4):
475–9. doi:10.1089/cpb.2007.0151
409. Baxter KE, Kochar S, Williams C, Blackman C, Himmelvo J. Development of
a Palliative Telehealth Pilot to Meet the Needs of the Nursing Home
Population. J Hosp Palliat Nurs (2021) 23(5):478–83. doi:10.1097/NJH.
0000000000000784
410. Khosravi P, Ghapanchi AH. Investigating the Effectiveness of Technologies
Applied to Assist Seniors: A Systematic Literature Review. Int J Med Inform
(2015) 85(1):17–26. doi:10.1016/j.ijmedinf.2015.05.014
411. Van Den BN, Schumann M, Kraft K, Hoffmann W. Telemedicine and
Telecare for Older Patients - A Systematic Review. Maturitas (2012) 73:
94–114. doi:10.1016/j.maturitas.2012.06.010
412. Kim H, Jung YI, Kim GS, Choi H, Park YH. Effectiveness of a Technology-
Enhanced Integrated Care Model for Frail Older People: A Stepped-Wedge
Cluster Randomized Trial in Nursing Homes. Gerontologist (2021) 61(3):
460–9. doi:10.1093/geront/gnaa090
413. Wass S, Vimarlund V. The Role of ICT in Home Care. In: Studies in Health
Technology and Informatics. IOS Press BV (2017). p. 153–8. doi:10.3233/978-
1-61499-794-8-153
414. Marcelino I, Laza R, Domingues P, Gómez-Meire S, Fdez-Riverola F, Pereira
A. Active and Assisted Living Ecosystem for the Elderly. Sensors (Switzerland)
(2018) 18(4):1246. doi:10.3390/s18041246
415. Linn N, Goetzinger C, Regnaux JP, Schmitz S, Dessenne C, Fagherazzi G,
et al. Digital Health Interventions Among People Living With Frailty: A
Scoping Review. J Am Med Directors Assoc (2021) 22:1802–12.e21. doi:10.
1016/j.jamda.2021.04.012
416. Calvillo-arbizu J, Naranjo-hernández D, Barbarov-rostán G, Talaminos-barroso
A, Roa-romero LM, Reina-tosina J. A Sensor-based Mhealth Platform for
Remote Monitoring and Intervention of Frailty Patients at Home. Int J
Environ Res Public Health (2021) 18(21):11730. doi:10.3390/ijerph182111730
417. Bon V, Ghemame M, Fantou P, Philliponnet A, Mouriaux F. Feedback on
Ophthalmologic Telemedicine in a Nursing Home. J Fr Ophtalmol (2020)
43(9):e293–7. doi:10.1016/j.jfo.2020.09.002
418. Jaana M, Paré G. Comparison of Mobile Health Technology Use for Self-
Tracking Between Older Adults and the General Adult Population in Canada:
Cross-Sectional Survey. JMIR Mhealth Uhealth (2020) 8(11):e24718. doi:10.
2196/24718
419. Lee S, Yu S. Effectiveness of Information and Communication Technology
(Ict) Interventions in Elderly’s Sleep Disturbances: A Systematic Review and
Meta-Analysis. Sensors (2021) 21:6003. doi:10.3390/s21186003
420. Glomsås HS, Knutsen IR, Fossum M, Halvorsen K. They Just Came With the
Medication Dispenser-a Qualitative Study of Elderly Service Users’
Involvement and Welfare Technology in Public Home Care Services.
BMC Health Serv Res (2021) 21(1):245. doi:10.1186/s12913-021-06243-4
421. Kruse CS, Mileski M, Moreno J. Mobile Health Solutions for the Aging
Population: A Systematic Narrative Analysis. J Telemed Telecare (2017) 23(4):
439–51. doi:10.1177/1357633X16649790
422. Lapão LV, Peyroteo M, Maia M, Seixas J, Gregório J, Mira da Silva M, et al.
Implementation of Digital Monitoring Services During the COVID-19
Pandemic for Patients With Chronic Diseases: Design Science Approach.
J Med Internet Res (2021) 23(8):e24181. doi:10.2196/24181
423. Lang C, Roessler M, Schmitt J, Bergmann A, Holthoff-Detto V. Health-
Related Quality of Life in Elderly, Multimorbid Individuals With and
Without Depression And/or Mild Cognitive Impairment Using a
Telemonitoring Application. Qual Life Res (2021) 30(10):2829–41. doi:10.
1007/s11136-021-02848-8
424. Joosen P, Piette D, Buekers J, Taelman J, Berckmans D, De Boever P. A
Smartphone-Based Solution to Monitor Daily Physical Activity in a Care
Home. J Telemed Telecare (2019) 25(10):611–22. doi:10.1177/
1357633X18790170
425. Andrès E, Zulfiqar AA, Talha S, Hajjam M, Hajjam J, Ervé S, et al.
Télémédecine et Insuffisance Cardiaque du Sujet âgé, 16. Geriatrie et
Psychologie Neuropsychiatrie du Vieillissement (2018). p. 341–8. NLM
(Medline). doi:10.1089/dia.2009.0102
426. Liu L, Stroulia E, Nikolaidis I, Miguel-Cruz A, Rios Rincon A. Smart Homes and
Home Health Monitoring Technologies for Older Adults: A Systematic Review.
Int J Med Inform (2016) 91:44–59. doi:10.1016/j.ijmedinf.2016.04.007
427. Majumder S, Aghayi E, Noferesti M, Memarzadeh-Tehran H, Mondal T,
Pang Z, et al. Smart Homes for Elderly Healthcare—Recent Advances and
Research Challenges. Sensors (Switzerland) (2017) 17:2496. doi:10.3390/
s17112496
428. Alsaqer M. Aging and Technology: Understanding the Issues and Creating a
Base for Technology Designers. J Med Eng Technol (2021) 45(4):258–83.
doi:10.1080/03091902.2021.1891313
429. Chelongar K, Ajami S. Using Active Information and Communication
Technology for Elderly Homecare Services: A Scoping Review. Home
Health Care Serv Q (2021) 40:93–104. doi:10.1080/01621424.2020.1826381
430. Gokalp H, De Folter J, Verma V, Fursse J, Jones R, Clarke M. Integrated
Telehealth and Telecare for Monitoring Frail Elderly With Chronic Disease.
Telemed J E Health (2018) 24:940–57. doi:10.1089/tmj.2017.0322
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 160775623
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
431. Sekhon H, Sekhon K, Launay C, Afililo M, Innocente N, Vahia I, et al.
Telemedicine and the Rural Dementia Population: A Systematic Review.
Maturitas (2021) 143:105–14. doi:10.1016/j.maturitas.2020.09.001
432. Brooks SE, Burruss SK, Mukherjee K. Suicide in the Elderly: A
Multidisciplinary Approach to Prevention. Clin Geriatr Med (2019) 35:
133–45. doi:10.1016/j.cger.2018.08.012
433. Chen YRR, Schulz PJ. The Effect of Information Communication Technology
Interventions on Reducing Social Isolation in the Elderly: A Systematic
Review. J Med Internet Res (2016) 18(1):e18. doi:10.2196/jmir.4596
434. WHO Global Observatory for eHealth. Global Diffusion of eHealth:
Making Universal Health Coverage Achievable. Rep third Glob Surv
eHealth (2016).
435. World Bank. Data Blog. New World Bank Country Classifications by Income
Level: 2022-2023 (2022). Available from: https://blogs.worldbank.org/en/
opendata/new-world-bank-country-classifications-income-level-2022-2023
(Accessed May 9, 2024).
436. National Institutes of Health. Aging in Place: Growing Older at Home. Natl
Inst Aging (2023). Available from: https://www.nia.nih.gov/health/aging-
place/aging-place-growing-older-home (Accessed July 4, 2024).
437. Ratnayake M, Lukas S, Brathwaite S, Neave J, Henry H. Aging in Place: Are
We Prepared? Dela J Public Health (2022) 8(3):28–31. doi:10.32481/djph.
2022.08.007
438. Mace RA, Mattos MK, Vranceanu AM. Older Adults Can Use Technology:
Why Healthcare Professionals Must Overcome Ageism in Digital Health.
Transl Behav Med (2022) 12(12):1102–5. doi:10.1093/tbm/ibac070
439. de Siqueira Silva Í, de Araújo AJ, Lopes RH, Silva CRDV, Xavier PB, de
Figueirêdo RC, et al. Digital Home Care Interventions and Quality of Primary
Care for Older Adults: A Scoping Review. BMC Geriatr (2024) 24(1):507–19.
doi:10.1186/s12877-024-05120-z
440. Tsai YIP, Beh J, Ganderton C, Pranata A. Digital Interventions for Healthy
Ageing and Cognitive Health in Older Adults: A Systematic Review of Mixed
Method Studies and Meta-Analysis. BMC Geriatr (2024) 24(1):217. doi:10.
1186/s12877-023-04617-3
441. Alruwaili MM, Shaban M, Elsayed Ramadan OM. Digital Health
Interventions for Promoting Healthy Aging: A Systematic Review of
Adoption Patterns, Efficacy, and User Experience. Sustainability
(Switzerland) (2023) 15(23):16503. doi:10.3390/su152316503
442. Lee SH, Chon Y, Kim YY. Comparative Analysis of Long-Term Care in
OECD Countries: Focusing on Long-Term Care Financing Type. Healthcare
(2023) 11(2):206. doi:10.3390/healthcare11020206
443. Mounier-Jack S, Mayhew SH, Mays N. Integrated Care: Learning
Between High-Income, and Low- and Middle-Income Country Health
Systems. Health Policy Plan (2017) 32(Suppl. 4):iv6–iv12. doi:10.1093/
heapol/czx039
444. Fang F, Yang X. Socioeconomic Status , Cultural Values, and Elderly Care: An
Examination of Elderly Care Preference in OECD Countries. Aging Health
Res (2023) 3(3):100153. doi:10.1016/j.ahr.2023.100153
445. Huenchuan S. Envejecimiento, Personas Mayores y Agenda 2030 para el
Desarrollo Sostenible. Perspectiva regional y de Derechos Humanos. Desarrollo
Social. Santiago: Naciones Unidas (2018). Available from: www.cepal.org/es/
suscripciones (Accessed July 8, 2024).
446. MlinarićA, Horvat M, VšS. Dealing With the Positive Publication Bias: Why
You Should Really Publish Your Negative Results. Biochem Med (Zagreb)
(2017) 27(3):30201. doi:10.11613/BM.2017.030201
Copyright © 2024 Hirmas-Adauy, Castillo-Laborde, Awad, Jasmen, Mattoli,
Molina, Olea, Matute, Soto, Rubilar, Urrejola, Alfaro, Abusleme Lama and
Esnouf. This is an open-access article distributed under the terms of the Creative
Commons Attribution License (CC BY). The use, distribution or reproduction in
other forums is permitted, provided the original author(s) and the copyrigh t owner(s)
are credited and that the original publication in this journal is cited, in accordance
with accepted academic practice. No use, distribution or reproduction is permitted
which does not comply with these terms.
PHR is edited by the Swiss School of Public Health (SSPH+) in a partnership with
the Association of Schools of Public Health of the European Region (ASPHER)+
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 160775624
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
APPENDIX: SEARCH STRATEGY
Database: PubMed (The strategy created for PubMed was
modified to suit the requirements of the other databases.)
Date: 06 April 2022.
Key words: elderly OR frail OR senior OR frail elderly.
AND
digital health OR e-Health OR telemedicine OR telehealth OR
digital therapeutics OR virtual medicine OR information and
communication technology OR ICT OR silver economy OR
mhealth OR mobile application.
Filters: humans and languages (English, French,
Portuguese, Spanish)
Strategy:
(“elderly”[Title/Abstract] OR “frail”[Title/Abstract] OR
“senior”[Title/Abstract] OR “frail elderly”[Title/Abstract])
AND (“digital health”[Title/Abstract] OR “e-Health”[Title/
Abstract] OR “telemedicine”[Title/Abstract] OR
“telehealth”[Title/Abstract] OR “digital therapeutics”[Title/
Abstract] OR “virtual medicine”[Title/Abstract] OR
“ICT”[Title/Abstract] OR “Information and Communication
Technology”OR “silver economy”[Title/Abstract] OR
“mhealth”[Title/Abstract] OR “mobile
application”[Title/Abstract])
Public Health Reviews | Owned by SSPH+ | Published by Frontiers December 2024 | Volume 45 | Article 160775625
Hirmas-Adauy et al. Scoping Review: Elderly Digital Health
