Characterizing Active Ingredients of eHealth Interventions Targeting Persons With Poorly Controlled Type 2 Diabetes Mellitus Using the Behavior Change Techniques Taxonomy: Scoping Review

Kebede, Mihiretu M; Liedtke, Tatjana P; Möllers, Tobias; Pischke, Claudia R

doi:10.2196/jmir.7135

Cited by 69Mobile Health and mHealth ApplicationsDiabetes Management and EducationBehavioral Health and Interventions

Characterizing Active Ingredients of eHealth Interventions Targeting Persons With Poorly Controlled Type 2 Diabetes Mellitus Using the Behavior Change Techniques Taxonomy: Scoping Review

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Kebede, Mihiretu M, Liedtke, Tatjana P, Möllers, Tobias, Pischke, Claudia R·2017·Journal of Medical Internet Research

DOI 10.2196/jmir.7135PMC PMC5658649

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Abstract

BACKGROUND: The behavior change technique taxonomy v1 (BCTTv1; Michie and colleagues, 2013) is a comprehensive tool to characterize active ingredients of interventions and includes 93 labels that are hierarchically clustered into 16 hierarchical clusters. OBJECTIVE: The aim of this study was to identify the active ingredients in electronic health (eHealth) interventions targeting patients with poorly controlled type 2 diabetes mellitus (T2DM) and relevant outcomes. METHODS: We conducted a scoping review using the BCTTv1. Randomized controlled trials (RCTs), studies with or pre-post-test designs, and quasi-experimental studies examining efficacy and effectiveness of eHealth interventions for disease management or the promotion of relevant health behaviors were identified by searching PubMed, Web of Science, and PsycINFO. Reviewers independently screened titles and abstracts for eligibility using predetermined eligibility criteria. Data were extracted following a data extraction sheet. The BCTTv1 was used to characterize active ingredients of the interventions reported in the included studies. RESULTS: Of the 1404 unique records screened, 32 studies fulfilled the inclusion criteria and reported results on the efficacy and or or effectiveness of interventions. Of the included 32 studies, 18 (56%) were Web-based interventions delivered via personal digital assistant (PDA), tablet, computer, and/or mobile phones; 7 (22%) were telehealth interventions delivered via landline; 6 (19%) made use of text messaging (short service message, SMS); and 1 employed videoconferencing (3%). Of the 16 hierarchical clusters of the BCTTv1, 11 were identified in interventions included in this review. Of the 93 individual behavior change techniques (BCTs), 31 were identified as active ingredients of the interventions. The most common BCTs identified were instruction on how to perform behavior, adding objects to the environment, information about health consequences, self-monitoring of the outcomes and/or and prefers to be explicit to avoid ambiguity. Response: Checked and avoided of a certain behavior Author: Please note that the journal discourages the use of parenthesis to denote either and/or and prefers to be explicit to avoid ambiguity. Response: Checked and avoided "and/or" and prefers to be explicit to avoid ambiguity. Response: Checked and avoided, and feedback on outcomes of behavior. CONCLUSIONS: Our results suggest that the majority of BCTs employed in interventions targeting persons with T2DM revolve around the promotion of self-regulatory behavior to manage the disease or to assist patients in performing health behaviors necessary to prevent further complications of the disease. Detailed reporting of the BCTs included in interventions targeting this population may facilitate the replication and further investigation of such interventions.

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Tailored design and personalized contents for patients is a facilitator, and one-for-all unified contents and designs could be a barrier.
“Tailored design and personalized contents for patients is a facilitator, and one-for-all unified contents and designs could be a barrier.”
From Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries (2023) · cites this paper as [39]
Incorporating behavioral theories in digital health design is a facilitator, and the absence of that could be a barrier.
“Incorporating behavioral theories in digital health design is a facilitator, and the absence of that could be a barrier.”
From Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries (2023) · cites this paper as [39]

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Research works printed but not linked: 2

[4]International Diabetes Federation Diabetes Atlas, 7th Edition 2015 http://www.diabetesatlas.org/component/attachments/?task=download&id=116
[94]Orsama A Lähteenmäki J Harno K Kulju M Wintergerst E Schachner H Stenger P Leppänen J Kaijanranta H Salaspuro V Fisher WA Active assistance technology reduces glycosylated hemoglobin and weight in individuals with type 2 diabetes: results of a theory-based randomized trial Diabetes Technol Ther 2013 8 15 8 662 669 10.1089/dia.2013.0056 23844570 23844570 · DOI · Paper page

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Additional file 3 of Standardization of the assessment process within telerehabilitation in chronic diseases: a scoping meta-review
Chapel, B., Alexandre, F., Heraud, N., Ologeanu‐Taddei, R., Cases, A.-S., Bughin, F., & Hayot, M. (2022) · Figshare · doi:10.6084/m9.figshare.20423695
Additional file 3 of Public target interventions to reduce the inappropriate use of medicines or medical procedures: a systematic review
Lin, L., Alam, P., Fearon, E., & Hargreaves, J. R. (2020) · Figshare · doi:10.6084/m9.figshare.13120782
Additional file 4 of Public target interventions to reduce the inappropriate use of medicines or medical procedures: a systematic review
Lin, L., Alam, P., Fearon, E., & Hargreaves, J. R. (2020) · Figshare · doi:10.6084/m9.figshare.13120785
Additional file 1 of Public target interventions to reduce the inappropriate use of medicines or medical procedures: a systematic review
Lin, L., Alam, P., Fearon, E., & Hargreaves, J. R. (2020) · Figshare · doi:10.6084/m9.figshare.13120776
Additional file 2 of Standardization of the assessment process within telerehabilitation in chronic diseases: a scoping meta-review
Chapel, B., Alexandre, F., Heraud, N., Ologeanu‐Taddei, R., Cases, A.-S., Bughin, F., & Hayot, M. (2022) · Figshare · doi:10.6084/m9.figshare.20423692
Additional file 2 of Public target interventions to reduce the inappropriate use of medicines or medical procedures: a systematic review
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Additional file 4 of Standardization of the assessment process within telerehabilitation in chronic diseases: a scoping meta-review
Chapel, B., Alexandre, F., Heraud, N., Ologeanu‐Taddei, R., Cases, A.-S., Bughin, F., & Hayot, M. (2022) · Figshare · doi:10.6084/m9.figshare.20423698
Additional file 5 of Standardization of the assessment process within telerehabilitation in chronic diseases: a scoping meta-review
Chapel, B., Alexandre, F., Heraud, N., Ologeanu‐Taddei, R., Cases, A.-S., Bughin, F., & Hayot, M. (2022) · Figshare · doi:10.6084/m9.figshare.20423701
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Effectiveness of behavioral change techniques employed in eHealth interventions designed to improve glycemic control in persons with poorly controlled type 2 diabetes: a systematic review and meta-analysis protocol
Kebede, M., Christianson, L., Khan, Z., Heise, T. L., & Pischke, C. (2017) · Systematic Reviews · doi:10.1186/s13643-017-0609-1 · Cited by 12 · see citing works
Self-citation
e-Health Interventions for Community-Dwelling Type 2 Diabetes: A Scoping Review
Seo, H., Kim, S. Y., Sheen, S. S., & Cha, Y.-J. (2020) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2019.0263 · Cited by 10 · see citing works
Additional file 2: of Effectiveness of behavioral change techniques employed in eHealth interventions designed to improve glycemic control in persons with poorly controlled type 2 diabetes: a systematic review and meta-analysis protocol
Kebede, M. M., Christianson, L., Khan, Z., Heise, T. L., & Pischke, C. (2017) · Figshare · doi:10.6084/m9.figshare.5537068
Self-citation
Additional file 3: of Effectiveness of behavioral change techniques employed in eHealth interventions designed to improve glycemic control in persons with poorly controlled type 2 diabetes: a systematic review and meta-analysis protocol
Kebede, M. M., Christianson, L., Khan, Z., Heise, T. L., & Pischke, C. R. (2017) · Figshare · doi:10.6084/m9.figshare.c.3912877_d3
Self-citation
Additional file 1: of Effectiveness of behavioral change techniques employed in eHealth interventions designed to improve glycemic control in persons with poorly controlled type 2 diabetes: a systematic review and meta-analysis protocol
Kebede, M. M., Christianson, L., Khan, Z., Heise, T. L., & Pischke, C. (2017) · Figshare · doi:10.6084/m9.figshare.5537065
Self-citation

Authors: Kebede, M. M., Liedtke, T. P., Möllers, T., & Pischke, C. R.
Affiliations: University of Bremen (DE)
Fulda University of Applied Sciences (DE)
Leibniz Institute for Prevention Research and Epidemiology - BIPS (DE)
Corresponding author: Kebede, Mihiretu M
ORCID: Kebede, Mihiretu M
Liedtke, Tatjana P
Möllers, Tobias
Pischke, Claudia R
Venue: Journal of Medical Internet Research
Publisher: JMIR Publications Inc.
Published: 2017-10-12
Volume: 19
Issue: 10
Pages: e348
ISSN: 1438-8871 (ISSN-L)
DOI: 10.2196/jmir.7135
PMC: PMC5658649
OpenAlex: W2763955561
Cited by: 69
References: 89
Citations by year: 2026: 5 · 2025: 4 · 2024: 2 · 2023: 5 · 2022: 16 · 2021: 7 · 2020: 15 · 2019: 10 · 2018: 4 · 2017: 1
FWCI: 1.44
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
Locations: Journal of Medical Internet Research (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
Informationszentrum Lebenswissenschaften (ZB MED) (submittedVersion, cc-by)
Topics: Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
Keywords: digital health interventions, type 2 diabetes, uncontrolled diabetes, behaviour change techniques, BCT taxonomy, active ingredients, self-regulation, self-monitoring, mobile health, telemedicine, text messaging, online intervention, diabetes self-management, health behavior promotion, disease management
MeSH terms: Behavior Therapy, Classification, Diabetes Mellitus, Type 2, Humans, Health Behavior, Telemedicine

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Characterizing Active Ingredients of eHealth Interventions Targeting Persons With Poorly Controlled Type 2 Diabetes Mellitus Using the Behavior Change Techniques Taxonomy: Scoping Review

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