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Diabetes Coaching for Individuals with Type 2 Diabetes: A state-of-the-science review and rationale for a coaching model

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Journal of Diabetes
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Abstract and Figures

Diabetes coaching is emerging as an important role in self-management and care. The conceptualization of coaching, and how to implement and evaluate coaching has not been articulated in the literature. The aim of the study was to review the literature to: (i) identify the components of coaching using a validated framework, including the description of the role of technology; (ii) describe the implementation and evaluation measures for diabetes coaching; and (iii) propose a diabetes coaching model for future implementation. The EMBASE, MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsychINFO and Cochrane Central Register of Controlled Trials databases were searched from inception to January 2015. Two evaluators independently screened and extracted data from eligible studies for descriptions of coaching. Eight trials met the selection criteria, with no consistency in the core components of coaching. However, elements noted across all studies included goal setting, diabetes knowledge acquisition, individualized care, and frequent follow-up. Only two studies leveraged technology for coaching communication purposes. Diabetes coaching is an intervention that can support the ongoing and complex needs of patients; however, implementation and evaluation strategies are limited in the literature. A diabetes coaching model is presented, derived from components identified throughout the literature with direction for implementation and evaluation approaches, and optimal integration into the healthcare system.
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REVIEW ARTICLE
Diabetes coaching for individuals with type 2 diabetes: A
state-of-the-science review and rationale for a coaching
model
Diana SHERIFALI
Faculty of Health Sciences, Diabetes Care and Research Program, Hamilton Health Sciences, and McMaster Evidence Review and Synthesis
Centre, McMaster University, Hamilton, Canada
Correspondence
Diana Sherifali, HSC-3N28F, McMaster
University, 1280 Main Street West, L8S
4K1, Hamilton, Ontario, Canada.
Tel: +1 905 525 9140 extn 21435
Fax: +1 905 521 8834
Email: dsherif@mcmaster.ca
Received 24 October 2016; revised 15
December 2016; accepted 9
January 2017.
doi: 10.1111/1753-0407.12528
Abstract
Diabetes coaching is emerging as an important role in self-management and
care. The conceptualization of coaching, and how to implement and evaluate
coaching has not been articulated in the literature. The aim of the study was to
review the literature to: (i) identify the components of coaching using a vali-
dated framework, including the description of the role of technology;
(ii) describe the implementation and evaluation measures for diabetes coach-
ing; and (iii) propose a diabetes coaching model for future implementation.
The EMBASE, MEDLINE, Cumulative Index to Nursing and Allied Health
Literature (CINAHL), PsychINFO and Cochrane Central Register of Con-
trolled Trials databases were searched from inception to January 2015. Two
evaluators independently screened and extracted data from eligible studies for
descriptions of coaching. Eight trials met the selection criteria, with no consist-
ency in the core components of coaching. However, elements noted across all
studies included goal setting, diabetes knowledge acquisition, individualized
care, and frequent follow-up. Only two studies leveraged technology for coach-
ing communication purposes. Diabetes coaching is an intervention that can
support the ongoing and complex needs of patients; however, implementation
and evaluation strategies are limited in the literature. A diabetes coaching
model is presented, derived from components identied throughout the litera-
ture with direction for implementation and evaluation approaches, and optimal
integration into the healthcare system.
Keywords: coaching, model, systematic review, type 2 diabetes.
Introduction
Individuals with type 2 diabetes mellitus (T2DM) are
responsible for overseeing the day-to-day management
of their diabetes; improving their self-management
knowledge and skills are foundational to diabetes care.
Unfortunately, the engagement of individuals with
T2DM in self-management programs has been marred
by the following barriers: (i) time-limited education and
support; (ii) minimal case management or individua-
lized care; and (iii) limited access and availability of
specialized diabetes programs.
18
Diabetes education
programs typically offer self-management classes of
short duration and generally do not provide long-term
support based on an individuals needs and goals.
Rather, individuals in need of diabetes education and
Highlights
This review critically examines the literature to provide an evidence-based model of diabetes coaching, com-
prising self-management education, case management, behavior change, and psychosocial support.
This paper identies implementation and evaluation measures, as well as opportunities to implement technol-
ogy to facilitate coaching.
Journal of Diabetes 9(2017), 547554
© 2017 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and John Wiley & Sons Australia, Ltd 547
support turn to other avenues for self-management edu-
cation and support that may not always be effective
(e.g. non-specialized healthcare providers), efcient
(e.g. appointment with primary care provider or hospi-
tal visit when in crisis), or evidence based
(e.g. unreliable websites).
8,9
A growing body of evidence pertaining to health
coaching for chronic conditions, including T2DM, sug-
gests that individuals achieve better health outcomes
with health coaching than with traditional education
and support programs.
1015
Health coaching has
emerged from motivational interviewing techniques and
has been described as helping the individual to achieve
his or her goals by facilitating the learning process
within a framework of behavioral change, and by pro-
viding support and resources in order to improve a
patients own health.
16,17
Health coaches support
patients by increasing their motivation and enhancing
self-efcacy, reducing perceived or real barriers to tak-
ing action, promoting problem solving skills, allowing
individuals to choose an area on which to concentrate
efforts for change, and providing tailored feedback or
customized recommendations to individuals who are at
risk.
1824
Techniques used in the coaching approach
include active listening, working with the patients
agenda, recognizing patient beliefs, values and readiness
for change, and behavioral change modication.
2330
Health coaching has been shown to improve clinical
health outcomes (i.e. glycemic control), medication or
treatment adherence, healthcare utilization
(i.e. emergency department visits), and adherence to
evidence-based practices.
9,16,17,31
Despite the increase in literature pertaining to diabetes
coaching, the conceptualization of a coaching model,
how to leverage technology with this role, and how to
evaluate the implementation and effects of coaching
have not been articulated in the literature. The aim of
the present study was to review the diabetes coaching lit-
erature to identify the components of coaching using a
validated framework, including the description of the
role of technology used to facilitate coaching, describe
the implementation and evaluation measures for diabe-
tes coaching and, based on the evidence, to propose a
diabetes coaching model for future implementation.
Methods
Search strategy
The search strategy used in the present study was based on
a previous review on the effectiveness of diabetes coach-
ing.
31
In consultation with a medical librarian, a search
strategy was developed based on an analysis of MeSH
terms and key text words from 1946 onwards. A start date
of 1946 was intentionally chosen because it would include
the inception of various databases. Specically, the search
strategy included combining diabetes coaching terms such
as counseling,”“coaching,”“diabetes mellitus,
telemedicine,and consultationswith methodological
terms, and the English, published, peer-reviewed literature
wassearchedinelectronicdatabases(MEDLINE,
EMBASE, Cumulative Index to Nursing and Allied
Health Literature (CINAHL), the Cochrane Central Reg-
ister of Trials, and PsychINFO. Reference lists from rele-
vant meta-analyses, systematic reviews, and clinical
guidelines were also examined. Appendix I includes the full
search strategy across the various databases.
Study screening, data extraction, and quality assessment
All citations retrieved were reviewed using predeter-
mined eligibility criteria. Studies were included if they
written in English, published in a peer-reviewed journal
between January 1946 and 20 January 2015 and met
the following criteria: (i) were a randomized controlled
trial (RCT); (ii) reported data on adults aged 18 years
with T2DM; (iii) reported a diabetes coaching interven-
tion (in addition to usual care or self-management edu-
cation or support); (iv) the diabetes coaching was
conducted by a health professional; and (v) reported a
mean change in glycemic control to assess clinical effec-
tiveness of coaching (i.e. HbA1c). Studies were excluded
from the present analysis if: (i) they reported data on
subjects aged <18 years or who did not have T2DM;
(ii) they reported data on pregnant women;
(iii) coaching was not the primary intervention; (iv) they
did not report a change in HbA1c; (v) the study was
not a RCT or used a quasi-randomization methodol-
ogy, including cluster randomization; and (vi) there was
no statement that informed consent was obtained.
Title and abstracts were reviewed for relevance by the
lead investigator and assistants (Virginia Viscardi and
Johnny Wei Bai); full text inclusion and data extraction
were performed by VV and JWB, who resolved dis-
agreements through discussion. Data were extracted by
VV and JWB using a standard format; in cases of dis-
agreements, consensus was reached after discussion.
Items extracted pertained to study and intervention
characteristics, including implementation and evalua-
tion measures. More specically, intervention character-
istics for each study were extracted using the Template
for Intervention Description and Replication (TIDieR)
checklist to ensure adequate reporting of the diabetes
coaching intervention, including whether technology
was used and how.
32
Specically, the 12-item TIDieR
checklist includes: a brief name of the coaching
548 © 2017 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and John Wiley & Sons Australia, Ltd
Diabetes coaching review and model D. SHERIFALI
intervention, why and what materials were used, what
(procedure), who (provided the procedure or coaching
intervention), how, where, when and how much was
provided, tailoring, modications, how well (planned)
the procedure was, and how well (actual) the interven-
tion was executed. To identify relevant implementation
and evaluation measures for diabetes coaching, an
adapted version of the intervention delity framework
for technology-based behavioral interventions by
DeVito Dabbs et al. was used.
33
Results
Search results
The search yielded 3003 titles and abstracts, with the
full text of 420 of these being reviewed (Fig. 1). Of these
studies, eight RCTs
3441
were identied that met the
inclusion criteria. These studies were completed in
Turkey,
34
Korea,
35
the US,
36,38,40,41
Finland,
37
and
Australia,
39
reecting different healthcare systems,
approaches to diabetes management, and view of
patient-centered care and coaching. In the eight studies
included in the present analysis, there were 724 partici-
pants at baseline (study sample sizes ranging from 18 to
101), with 353 receiving a coaching intervention and
371 receiving usual care (control). The mean age of par-
ticipants across all studies ranged from 53.1 to
65.8 years (see Table S1, available as Supplementary
Material to this paper).
Diabetes coaching intervention characteristics
Why, what and who
Generally, the studies included indicated some training of
healthcare professionals for coaching, comprising mainly
procedural training in diabetes content areas, motivational
inquiry, and behavior change. Using the TIDieR checklist,
coaching interventions were extracted to articulate and
understand coaching in each study (Table S2). The ration-
ale or whyof the coaching interventions across the
included studies was either to directly affect glycemic con-
trol
34,35,39
or to inuence glycemic control and/or diabetes
management through self-care behaviors and facilitated
behavior change.
3638,40,41
All eight studies included an
education component to coaching;
3441
seven studies
included a behavioral component
34,3641
and two studies
included affective components to improve psychological
well being.
38,41
More specically, the whatof the coach-
ing interventions included goal setting and
attainment,
34,3641
increasing self-care knowledge
34,38,40
individualized care recommendations,
3441
and regular
and frequent follow-up.
3441
Four studies had nurses as
coaches;
3537,40
the remaining studies enrolled a dietitian,
social worker or psychologist, a medical assistant, and a
dentist.
34,38,39,41
Table 1 summarizes the coaching charac-
teristics in each study.
How, where, when and tailoring
Coaching interventions were deployed using various
strategies. Telephone-only strategies included multiple
sessions with frequency decided upon by either coaches
or participants and exibility in duration, ranging from
15 to 60 min per session.
37,39,41
A combination of tele-
phone and face-to-face strategies was used in a staged
manner, with coaching commencing with frequent face-
to-face sessions, followed by telephone follow-up later
in the coaching intervention.
34,38,40
Combinations of
Internet, telephone, and face-to-face strategies were
used with the assistance of decision support platforms
(i.e. web-based applications) or the inputting of health
parameters, such as blood pressure, to facilitate coach-
ing discussions and interactions.
35,37
Studies identied that tailoring of coaching inter-
ventions occurred as a result of patient needs,
34,41
patient and provider discussions,
3640
based on a phy-
sicians assessment.
35
However, none of the studies
included discussed why patients discontinued the
coaching intervention.
Implementation and evaluation outcomes
Of the eight studies identied, only one identied that
modications were made to the intervention from the
original plan. Specically, the study of Frosch et al.
36
Records identified through
database searching
(n = 3003)
ScreeningIncluded Eligibility Identification
Additional records identified
through other sources
(n = 0)
Records after duplicates removed
(n = 1903)
Records screened
(n = 1903)
Records excluded
(n = 1483)
Full-text articles
assessed for eligibility
(n = 420)
Full-text articles
excluded, with reasons
(n = 412)
Studies included in
review
(n = 8)
Figure 1 Diabetes coaching review study ow diagram.
© 2017 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and John Wiley & Sons Australia, Ltd 549
D. SHERIFALI Diabetes coaching review and model
planned to have coaching initiated with participants
2 weeks following enrolment; however, the mean (
SD) number of days to rst contact by a coach was
35.9 32.0 days.
36
No other studies noted modica-
tions to the intended intervention. Moreover, aside
from one study,
38
none of the studies examined how the
coaching intervention was implemented in the clinical
setting. Ruggiero et al.
38
noted that the medical assis-
tant coach was to follow a protocol for adherence and
would be examined randomly through audits and obser-
vations. However, the authors noted that the proposed
interventions were completed only 85% of the time, and
coaching protocols were followed 92% of the time.
38
Therefore, only Ruggiero et al.
38
reported any interven-
tion delity testing for coaching itself, and none of the
coaching interventions that used technology
35,37
pro-
vided any indication of technology intention to use,
adoption or acceptance for technology-based behavioral
interventions, as suggested by DeVito Dabbs et al.
33
All the studies examined physiological outcomes, such
as HbA1c, body mass index, blood pressure, or cholesterol
levels. Notably, of the eight studies, six noted a statistically
signicant reduction in HbA1c,
34,35,3739,41
whereas one
study noted an increase in HbA1c (0.1%)
36
and another
noted a non-signicant reduction HbA1c.
40
Only four
studies collected data on self-care outcomes, such as die-
tary patterns, physical activities, medication adherence, or
diabetes knowledge.
36,3941
Finally, four studies examined
psychosocial outcomes, such as quality of life, empower-
ment, and diabetes-related distress.
38,40,41
Proposed diabetes coaching model
Although there is limited published evidence of a diabe-
tes coaching model, in addition to the use of
technology, a new model for diabetes coaching is pro-
posed to recognize the necessary components and to
support implementation and evaluation. Thus, the pro-
posed diabetes coaching model (Fig. 2) comprises:
(i) personal case management and monitoring, empha-
sizing process of care issues and system navigation
related to diabetes; (ii) diabetes self-management educa-
tion and support, highlighting the need for knowledge,
skill acquisition, and problem solving related to day-to-
day management; (iii) behavior modication, goal set-
ting and reinforcement, using motivational interviewing
and theories to facilitate goal setting, attainment, and
behavior change; and (iv) general psychosocial support,
leveraging active listening and empathy to provide sup-
port. The diabetes coaching model approach is to
Table 1 Characteristics of the coaching interventions used in the eight studies included in the present analysis
References
What How Why
Goal
setting Knowledge Tailoring
Regular
follow-
up Telephone
Telephone
and face
to face Internet
Patient
needs
Both provider
and patient
needs
Physician
assessment
Cinar and Schou
34
×× ×× × ×
Cho et al.
35
×× × ×
Frosch et al.
36
×××× ×
Orsama et al.
37
××× × ×
Ruggiero et al.
38
×× ×× × ×
Varney et al.
39
×××× ×
Whittemore et al.
40
×× ×× × ×
Wolever et al.
41
×××× ×
The characteristics of the studies were evaluated using the Template for Intervention Description and Replication (TIDieR) checklist.
32
The 12-
item TIDieR checklist includes: a brief name, why and what materials were used, what (procedure), who (provided the procedure or coaching
intervention), how, where, when and how much was provided, tailoring, modications, how well (planned) the procedure was, and how well
(actual) the intervention was executed.
Diabetes
coaching
model
Case
management and
monitoring
Self-
management
education and
support
Behavior
modification
Psychosocial
support
Figure 2 Diabetes coaching model.
550 © 2017 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and John Wiley & Sons Australia, Ltd
Diabetes coaching review and model D. SHERIFALI
provide exibility and personalization, recognizing that
all four components are necessary for diabetes manage-
ment, but that each component may be required in dif-
ferent amounts and time, based on each individuals
circumstances. It is also advised that a diabetes coach
be a regulated health professional, preferably a certied
diabetes educator with training and experience in moti-
vational interviewing and behavior modication.
Technology can be leveraged to facilitate each com-
ponent of the diabetes coaching model, either for the
purposes of communication for education or support
(i.e. text messaging, videoconferencing) or for monitor-
ing and observations of real-time biometric data
(i.e. tness-tracking devices or glucose meters). Finally,
computer programs or smart phone applications are
also available to assist the diabetes coach in triaging the
frequency and/or intensity of follow-up, thus offering
timely and relevant interactions based on an indivi-
duals needs.
Finally, with articulation of the necessary compo-
nents of diabetes coaching, it is straightforward to envi-
sion the outcomes that may be assessed with each
component. For personal case management and moni-
toring, process outcomes may detect the effects of
coaching on this particular component, such as comple-
tion of necessary laboratory blood work, vaccinations
obtained, or completing necessary foot assessment. For
self-management education and support, outcomes that
would reect this cognitive component of coaching may
include summary scales of self-care or knowledge. For
behavior modication, outcomes that would highlight
changes may include dietary pattern scales, physical
activity levels (i.e. accelerometers), or achieving goals.
Finally, for the component of psychosocial support, the
use of treatment satisfaction scales, distress scales, or
quality of life scales may illustrate effects on outcomes
that reect the affective component of coaching.
Discussion
Diabetes coaching is not a novel health intervention;
rather, it is an intervention that requires further explica-
tion to understand where, when, and how it can support
individuals living with diabetes in an already complex
health system. The present review of the state-of-the-
evidence demonstrates that there is some recognition of
what diabetes coaching entails, but little agreement on
what constitutes diabetes coaching. At a very precur-
sory level, diabetes coaching comprises a variety of stra-
tegies, with most approaches comprising goal setting,
diabetes knowledge acquisition, individualized care,
and frequent follow-up. The proposed diabetes
coaching model reported herein parallels the ndings of
Wolever et al.
42
regarding key behavioral interventions
for health and wellness coaching: patient centeredness
and collaboration, encouraging active learning, and
being underscored by behavior change theory and
human motivation. Thus, despite a lack of a consensus
denition of health coaching,diabetes coaching par-
allels the literature, with an emphasis on diabetes con-
text in addition to improved health and well being.
Furthermore, most studies included in the present
analysis demonstrated the effectiveness of coaching as
an intervention on glycemic control as an outcome
measure. However, future consideration regarding
coaching evaluation measures may align with compre-
hensive diabetes care measures, such as Healthcare
Effectiveness Data and Information Sets (HEDIS)
43
process outcomes related to achieving glycemic control
targets (HbA1c), retinal eye examinations, screening
and treatment for nephropathy, and achieving optimal
blood pressure control for diabetes according to the
recommended targets.
Finally, the results of the present study also highlight
that diabetes coaching is still exploring the role of tech-
nology, with only two studies leveraging technol-
ogy.
35,37
Moving forward, diabetes coaching may
include sophisticated Internet-based platforms or appli-
cations (apps) that support the collection and analysis
of behaviors and clinical markers to support patient
accountability, initiation, and maintenance of behavior
changes
42
. However, diabetes coaching may also use
technology similar to that used in risk-modication
studies that used technology to support one of the
major components of coaching: education.
42
Therefore,
skills-based training and knowledge acquisition may be
delivered and supported through standardized educa-
tional content via technology, allowing the diabetes
coach to focus on processes and components that
require carefully nuanced and tailored support
and care.
The present study is not without limitations. First,
although multiple databases for diabetes coaching liter-
ature were comprehensively searched, only studies pub-
lished in English were included. Second, only those
studies that demonstrated either clinical or statistical
signicance for coaching were included; thus, the pres-
ent review is limited in the reporting of patient-relevant
outcomes in the literature, such as quality of life and/or
self-efcacy. However, the present study does have
strengths. This is the rst comprehensive evidence-based
review of diabetes coaching using a complex health
service interventions checklist (i.e. the TIDieR checklist)
to explicate what diabetes coaching is. Second, rigorous
systematic review procedures were used that are
© 2017 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and John Wiley & Sons Australia, Ltd 551
D. SHERIFALI Diabetes coaching review and model
consistent with conducting high-quality reviews, such as
comprehensive search strategies and citation screening
and data extraction in duplication. Finally, the present
study adds to the growing body of literature related to
diabetes coaching, specically by describing the compo-
nents of diabetes coaching. As a result of the paucity of
evidence, additional research examining the delity of
coaching, including training, implementation, and
adaptation of diabetes coaching across different health
system settings, is also needed to consider the contex-
tual factors that may facilitate or hinder the adoption
and uptake of coaching at a system, clinical or patient
level.
Finally, further research is needed to examine the
structure, process, and impact of coaching on additional
diabetes-related outcomes, such as healthcare utiliza-
tion, quality of life, and self-efcacy.
Acknowledgements
DS is supported by an Early Career Research Award
from Hamilton Health Sciences. The author acknowl-
edges the support of other McMaster Evidence Review
and Synthesis Centre contributors, including Donna
Fitzpatrick-Lewis, Sharon Peck-Reid, Andy Bayer,
Maureen Rice, Meghan Kenny, and Rachel Warren.
The author also acknowledges the support of Virginia
Viscardi and Johnny Wei Bai in screening of the
literature.
Disclosure
None declared.
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Patient self-management support programs: An
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www.ahrq.gov/sites/default/les/publications/les/ptmgmt.
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No. 08-0011.
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tes-care (accessed 14 December 2016).
Supporting information
Additional Supporting Information may be found in the
online version of this article:
Table S1. Characteristics of studies included in the review.
Table S2. Coaching characteristics.
© 2017 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and John Wiley & Sons Australia, Ltd 553
D. SHERIFALI Diabetes coaching review and model
Appendix I: Diabetes coaching search strategy
I.Medline-OVID
1946-January 20 2015
1. Diabetes Mellitus, Type 2/
2. *counseling/ or directive counseling/
3. coaching.mp.
4. "one on one".tw.
5. (individual* adj2 counsel*).tw.
6. ("face to face" not (face-to-face adj2 interview*)).tw.
7. Telemedicine/
8. *Internet/
9. diabetes specialist nurs*.tw.
10. "telephone counsel?ing".tw.
11. *telephone/
12. 2 or 3 or 4 or 5 or 6 or 7 or 8 or 10 or 11
13. 1 and 12
14. 9 or 13
15. limit 14 to (comment or editorial or letter or news)
16. 14 not 15
17. limit 16 to English language
EMBASE-OVID
1980-January 20 2015
1. *non insulin dependent diabetes mellitus/
2. directive counseling/ or patient counseling/
3. coaching.mp.
4. "one on one".tw.
5. ("face to face" not (face-to-face adj2 interview*)).tw.
6. diabetes specialist nurs*.tw.
7. Internet/
8. telemedicine/ or teleconsultation/ or telehealth/
9. "telephone counsel?ing".tw.
10. 2 or 3 or 4 or 5 or 8 or 9
11. non insulin dependent diabetes mellitus/
12. 10 and 11
13. 6 or 12
14. *internet/
15. 1 and 14
16. 13 or 15
17. limit 16 to (book or book series or conference abstract or
editorial or letter or note)
18. 16 not 17
19. limit 18 to English language
PsycInfo-OVID
1967-January 20 2015
1. diabetes mellitus/
2. counseling/ or psychotherapeutic counseling/
3. coaching/
4. coaching.mp.
5. "one on one".tw.
6. (counsel?ing not genetic counsel?ing).tw.
7. ("face to face" not (face-to-face adj2 interview*)).tw.
8. telemedicine/ or computer mediated communication/ or exp
telecommunications media/
9. 2 or 3 or 4 or 5 or 6 or 7 or 8
10. 1 and 9
11. diabetes specialist nurs*.tw.
12. 10 or 11
13. limit 12 to (chapter or "column/opinion" or "comment/reply" or
editorial or letter)
14. 12 not 13
15. limit 14 to English language
Cochrane Central-OVID
1991-January 20 2015
1. Diabetes Mellitus, Type 2/
2. counseling/ or directive counseling/
3. coaching.mp.
4. "one on one".tw.
5. (individual* adj2 counsel*).tw.
6. ("face to face" not (face-to-face adj2 interview*)).tw.
7. Telemedicine/
8. internet/
9. "telephone counsel?ing".tw.
10. telephone/
11. 2 or 3 or 4 or 5 or 6 or 7 or 8 or 9 or 10
12. 1 and 11
13. diabetes specialist nurs*.tw.
14. 12 or 13
CINAHL-EBSCO
1982-January 20 2015
S20 S18 NOT S19 Search modes - Boolean/Phrase
S19 S18 Limiters - Publication Type: Book,
Book Chapter, Commentary,
Editorial, Letter Search modes -
Boolean/Phrase
S18 S15 OR S16 Limiters - English Language;
Exclude MEDLINE records
Search modes - Boolean/Phrase
S17 S15 OR S16 Search modes - Boolean/Phrase
S16 TX diabetes specialist
nurs*
Search modes - Boolean/Phrase
S15 S13 AND S14 Search modes - Boolean/Phrase
S14 (MM "Diabetes Mellitus,
Type 2")
Search modes - Boolean/Phrase
S13 S5 OR S6 OR S8 OR
S9 OR S10 OR S11
OR S12
Search modes - Boolean/Phrase
S12 TX telephone counsel* Search modes - Boolean/Phrase
S11 (MH "Telenursing") Search modes - Boolean/Phrase
S10 (MH "Telemedicine") OR
(MH "Telehealth")
Search modes - Boolean/Phrase
S9 (MM "Internet") Search modes - Boolean/Phrase
S8 TX face to face NOT TX
face to face N2
interview*
Search modes - Boolean/Phrase
S7 TX . (individual*
N2 counsel*).
Search modes - Boolean/Phrase
S6 TX coaching OR
one on one
Search modes - Boolean/Phrase
S5 MM "Counseling" Search modes - Boolean/Phrase
S4 A nurse-coaching
intervention for
women with type 2
diabetes
Search modes - Boolean/Phrase
S3 S1 AND S2 Search modes - Boolean/Phrase
S2 TX coaching Search modes - Boolean/Phrase
S1 (MH "Diabetes
Mellitus+")
Search modes - Boolean/Phrase
554 © 2017 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and John Wiley & Sons Australia, Ltd
Diabetes coaching review and model D. SHERIFALI
... Günümüzde diyabet hemşirelerinin gelişen rolleri arasında koçluk yaklaşımı, sağlıklı yaşam biçimi davranışlarını geliştirmeye yönelik etkisiyle tercih edilen güçlü bir destek aracı olarak görülür (Sherifali, 2017). Diyabet hemşireleri, diyabet öz yönetim eğitimi ve desteği süreçlerini koçluk temelli yaklaşımla zenginleştirerek yapılandırabilir (Wong-Rieger ve Rieger, 2013). ...
... • keşfedilerek performansın arttırılmasında önemlidir (Sherifali, 2017;Hibbard, Mahoney, Stock ve Tusler, 2007). Diyabet hemşireleri, diyabet öz yönetim desteği sürecinde bireylerin eğitim gereksinimini karşılamakla birlikte; koçluk yaklaşımıyla da destek sağlayarak,koçluk teknikleri ve araçlarıyla yapılandırılmış diyabet öz yönetimi eğitimi ve desteği programları yürüterek etkinliklerini güçlendirebilirler. ...
... Reflective of a deliberate shift toward people-driven care [20], rather than merely peoplecentred care, co-design centers the expressed needs of those living with the condition in the design process. Building on existing team assets, this co-design work included the re-design of the previously applied TECC model [17,21], the use of widely available technology, the application of health coaching [22][23][24], and the use of the STOP database [25]. Further, and to support future scale-up and further testing of this program, widely used omni-channel technology was used to both deliver the program and support data collection. ...
... Health coaching uses a process of continuous feedback and improvement to provide counselling on goal-setting, negotiate action plans [28], address barriers, and monitor subsequent progress [29,30]. The evidence indicates that health coaching, which comprises 'low-touch, high-frequency' contact, supports individuals by enhancing self-efficacy, reducing barriers (real or perceived), improving problem-solving skills, supporting patient-driven goals, and offering tailored feedback and support [24]. ...
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Self-management is a necessary aim in the treatment of chronic illnesses, such as diabetes, heart disease, arthritis, lupus, and chronic obstructive pulmonary disease. Although the effective treatments are available for these serious conditions, the rate of adherence to medication, dietary changes, physical activity, blood monitoring, or attendance to regular medical screenings is reported to be approximately only 50%. The role of health professional support in effective self-management of chronic illness has been recently acknowledged. Furthermore, numerous studies on professional support for self-management of chronic illness have focused on the health professional as a "coach". Coaching has been defined as an interactive role undertaken by a peer or professional individual to support a patient to be an active participant in the self- management of a chronic illness. A review of the literature revealed a limited number of empirical studies on coaching, with these focusing on one of three areas: disease-related education; behaviour change strategies; or, psychosocial support. Due to the small number of research investigations, only tentative support can be given to the efficacy of the different coaching approaches. However, it was apparent that education-based interventions have a significant role in self-management, but that these were not sufficient by themselves. The role of behaviour change-focused coaching was also shown to be an important factor. However, not all patients are ready for change, and therefore the need for coach interactions that move a patient to a stage of action were evident, as was the need to consider the emotional state of the patient. The challenges for future research is to investigate the relative strengths of these coaching approaches for the support of patient self-management of chronic illness, and the means to effectively integrate these approaches into routine health care, through a wide range of health professional groups.
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Without a complete published description of interventions, clinicians and patients cannot reliably implement interventions that are shown to be useful, and other researchers cannot replicate or build on research findings. The quality of description of interventions in publications, however, is remarkably poor. To improve the completeness of reporting, and ultimately the replicability, of interventions, an international group of experts and stakeholders developed the Template for Intervention Description and Replication (TIDieR) checklist and guide. The process involved a literature review for relevant checklists and research, a Delphi survey of an international panel of experts to guide item selection, and a face-to-face panel meeting. The resultant 12-item TIDieR checklist (brief name, why, what (materials), what (procedure), who intervened, how, where, when and how much, tailoring, modifications, how well (planned), how well (actually carried out)) is an extension of the CONSORT 2010 statement (item 5) and the SPIRIT 2013 statement (item 11). While the emphasis of the checklist is on trials, the guidance is intended to apply across all evaluative study designs. This paper presents the TIDieR checklist and guide, with a detailed explanation of each item, and examples of good reporting. The TIDieR checklist and guide should improve the reporting of interventions and make it easier for authors to structure the accounts of their interventions, reviewers and editors to assess the descriptions, and readers to use the information.
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Background: Lifestyle interventions produce short-term improvements in glycemia and cardiovascular disease (CVD) risk factors in individuals with type 2 diabetes mellitus, but no long-term data are available. We examined the effects of lifestyle intervention on changes in weight, fitness, and CVD risk factors during a 4-year study. Methods: The Look AHEAD (Action for Health in Diabetes) trial is a multicenter randomized clinical trial comparing the effects of an intensive lifestyle intervention (ILI) and diabetes support and education (DSE; the control group) on the incidence of major CVD events in 5145 overweight or obese individuals (59.5% female; mean age, 58.7 years) with type 2 diabetes mellitus. More than 93% of participants provided outcomes data at each annual assessment. Results: Averaged across 4 years, ILI participants had a greater percentage of weight loss than DSE participants (-6.15% vs -0.88%; P < .001) and greater improvements in treadmill fitness (12.74% vs 1.96%; P < .001), hemoglobin A(1c) level (-0.36% vs -0.09%; P < .001), systolic (-5.33 vs -2.97 mm Hg; P < .001) and diastolic (-2.92 vs -2.48 mm Hg; P = .01) blood pressure, and levels of high-density lipoprotein cholesterol (3.67 vs 1.97 mg/dL; P < .001) and triglycerides (-25.56 vs -19.75 mg/dL; P < .001). Reductions in low-density lipoprotein cholesterol levels were greater in DSE than ILI participants (-11.27 vs -12.84 mg/dL; P = .009) owing to greater use of medications to lower lipid levels in the DSE group. At 4 years, ILI participants maintained greater improvements than DSE participants in weight, fitness, hemoglobin A(1c) levels, systolic blood pressure, and high-density lipoprotein cholesterol levels. Conclusions: Intensive lifestyle intervention can produce sustained weight loss and improvements in fitness, glycemic control, and CVD risk factors in individuals with type 2 diabetes. Whether these differences in risk factors translate to reduction in CVD events will ultimately be addressed by the Look AHEAD trial. Trial registration: clinicaltrials.gov Identifier: NCT00017953.
Article
Background Failure to achieve treatment targets is common among people with type 2 diabetes. Cost-effective treatments are required to delay the onset and slow the progression of diabetes-related complications.AimsThis study aimed to measure the effect of a six month telephone coaching intervention on glycaemic control, risk factor status and adherence to diabetes management practices at the intervention's conclusion (six months) and at 12 months.Method This randomised controlled trial recruited ninety-four adults with type 2 diabetes and an HbA1C >7% from the Diabetes Clinic of St Vincent's Hospital Melbourne. People who were non-English speaking, cognitively impaired, severely hearing impaired or without telephone access were excluded. Participants were randomised to receive usual care plus six months of telephone coaching focusing on achieving treatment targets and complication screening, or usual care only. The primary outcome was HbA1C at six months; secondary outcomes included other physiological and monitoring measures.ResultsSignificant interaction effects were observed between group and time at six months, demonstrating improvement in HbA1C, fasting glucose, diastolic blood pressure and physical activity. The intervention's effect on these parameters was not sustained at 12 months. Intervention group participants also improved compliance with foot examinations and pneumococcal vaccination by six months and retinal screening by 12 months.Conclusions Telephone coaching improved glycaemic control and adherence to complication screening in people with type 2 diabetes, for the duration of its delivery, but these effects were not maintained upon withdrawal of the intervention. Strategies that assist patients to sustain these benefits are required.
Article
Purpose: The purpose of this study was to determine if a Health Coaching (HC) approach compared with formal health education (HE) resulted in better health outcomes among type II diabetes (T2DM) patients in improving glycaemic control and oral health, by use of clinical and subjective outcome measures. Methods: The study is part of a prospective intervention among randomly selected T2DM patients (n = 186) in Istanbul, Turkey. The data analysed were clinical [glycated haemoglobin (HbA(1C)), clinical attachment loss (CAL)] and psychological measures [tooth-brushing self efficacy (TBSES)]. Data were collected initially and at the end of intervention. Participants were allocated randomly to HC (intervention) (n = 77) and HE (control) (n = 111) groups. Results: At baseline, there was no statistical difference between HC and HE regarding clinical and psychological measures, (P > 0.05). At post-intervention the HC group had significantly lower HBA(1C) and CAL (reduction: 7%, 56%) than the HE group (reduction: HbA(1C) 0%; CAL 26%), (P ≤ 0.01). Similarly, HC group, compared with HE group, had better TBSES (increase: 61% vs. 25%) and stress (reduction: 16% vs. 1%), (P ≤ 0.01). Among high-risk group patients, the HC patients had significant improvements compared with the HE group (reduction: HbA(1C) 16% vs. 5%; CAL 63% vs. 18%; stress 39% vs. 2%; fold increase: TBSES 6.6 vs. 3.6) (P ≤ 0.01). Conclusions: The present findings may imply that HC has a significantly greater impact on better management of oral health and glycaemic control than HE. It is notable that the impact was more significant among high-risk group patients, thus HC may be recommended especially for high-risk group patients.
Article
Background: Communication problems in health care may arise as a result of healthcare providers focusing on diseases and their management, rather than people, their lives and their health problems. Patient-centred approaches to care delivery in the patient encounter are increasingly advocated by consumers and clinicians and incorporated into training for healthcare providers. However, the impact of these interventions directly on clinical encounters and indirectly on patient satisfaction, healthcare behaviour and health status has not been adequately evaluated. Objectives: To assess the effects of interventions for healthcare providers that aim to promote patient-centred care (PCC) approaches in clinical consultations. Search methods: For this update, we searched: MEDLINE (OvidSP), EMBASE (OvidSP), PsycINFO (OvidSP), and CINAHL (EbscoHOST) from January 2000 to June 2010. The earlier version of this review searched MEDLINE (1966 to December 1999), EMBASE (1985 to December 1999), PsycLIT (1987 to December 1999), CINAHL (1982 to December 1999) and HEALTH STAR (1975 to December 1999). We searched the bibliographies of studies assessed for inclusion and contacted study authors to identify other relevant studies. Any study authors who were contacted for further information on their studies were also asked if they were aware of any other published or ongoing studies that would meet our inclusion criteria. Selection criteria: In the original review, study designs included randomized controlled trials, controlled clinical trials, controlled before and after studies, and interrupted time series studies of interventions for healthcare providers that promote patient-centred care in clinical consultations. In the present update, we were able to limit the studies to randomized controlled trials, thus limiting the likelihood of sampling error. This is especially important because the providers who volunteer for studies of PCC methods are likely to be different from the general population of providers. Patient-centred care was defined as a philosophy of care that encourages: (a) shared control of the consultation, decisions about interventions or management of the health problems with the patient, and/or (b) a focus in the consultation on the patient as a whole person who has individual preferences situated within social contexts (in contrast to a focus in the consultation on a body part or disease). Within our definition, shared treatment decision-making was a sufficient indicator of PCC. The participants were healthcare providers, including those in training. Data collection and analysis: We classified interventions by whether they focused only on training providers or on training providers and patients, with and without condition-specific educational materials. We grouped outcome data from the studies to evaluate both direct effects on patient encounters (consultation process variables) and effects on patient outcomes (satisfaction, healthcare behaviour change, health status). We pooled results of RCTs using standardized mean difference (SMD) and relative risks (RR) applying a fixed-effect model. Main results: Forty-three randomized trials met the inclusion criteria, of which 29 are new in this update. In most of the studies, training interventions were directed at primary care physicians (general practitioners, internists, paediatricians or family doctors) or nurses practising in community or hospital outpatient settings. Some studies trained specialists. Patients were predominantly adults with general medical problems, though two studies included children with asthma. Descriptive and pooled analyses showed generally positive effects on consultation processes on a range of measures relating to clarifying patients' concerns and beliefs; communicating about treatment options; levels of empathy; and patients' perception of providers' attentiveness to them and their concerns as well as their diseases. A new finding for this update is that short-term training (less than 10 hours) is as successful as longer training.The analyses showed mixed results on satisfaction, behaviour and health status. Studies using complex interventions that focused on providers and patients with condition-specific materials generally showed benefit in health behaviour and satisfaction, as well as consultation processes, with mixed effects on health status. Pooled analysis of the fewer than half of included studies with adequate data suggests moderate beneficial effects from interventions on the consultation process; and mixed effects on behaviour and patient satisfaction, with small positive effects on health status. Risk of bias varied across studies. Studies that focused only on provider behaviour frequently did not collect data on patient outcomes, limiting the conclusions that can be drawn about the relative effect of intervention focus on providers compared with providers and patients. Authors' conclusions: Interventions to promote patient-centred care within clinical consultations are effective across studies in transferring patient-centred skills to providers. However the effects on patient satisfaction, health behaviour and health status are mixed. There is some indication that complex interventions directed at providers and patients that include condition-specific educational materials have beneficial effects on health behaviour and health status, outcomes not assessed in studies reviewed previously. The latter conclusion is tentative at this time and requires more data. The heterogeneity of outcomes, and the use of single item consultation and health behaviour measures limit the strength of the conclusions.