Evidence map›Paper›PMID 42226764›Full record

ArticleDigital health

Characteristics of behavior change techniques in theory-based self-management education and support interventions for adults with type 2 diabetes using digital technology: A scoping review.

EunSeok Cha, Meihua Ji, Colleen Dawkins, Xiaoyan Qi, Hyesun Jang, Melissa Spezia Faulkner

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Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

EunSeok ChaCollege of Nursing, Chungnam National University, Daejeon, South Korea.ORCID https://orcid.org/0000-0001-6115-567X
Meihua JiSchool of Nursing, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-9421-6077
Colleen DawkinsCollege of Nursing and Health Professions, University of Southern Mississippi, Hattiesburg, MS, USA.ORCID https://orcid.org/0009-0009-7663-9875
Xiaoyan QiSchool of Nursing, Capital Medical University, Beijing, China.ORCID https://orcid.org/0009-0000-5839-6712
Hyesun JangCollege of Nursing, Chungnam National University, Daejeon, South Korea.ORCID https://orcid.org/0009-0005-8315-0809
Melissa Spezia FaulknerByrdine F. Lewis College of Nursing and Health Professions, Georgia State University, Atlanta, GA, USA.ORCID https://orcid.org/0000-0003-4483-670X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This scoping review aimed to inform the development of theory-driven, person-centered digital diabetes self-management education and support (DSME/S) programs for patients with type 2 diabetes. Methods: The Behavioral Education and Support Techniques (BEST) taxonomy, adapted from the Behavior Change Techniques Taxonomy version 1 (BCTTv1), was used to improve clarity and relevance for DSME/S. Theory-based digital DSME/S intervention studies published between 2016 and 2023 and targeting adults aged ≥20 years were included. Studies were selected and data extracted using the Population, Concept, and Context framework. Theoretical foundations and behavior change domains were analyzed through iterative consensus among the research team. Results: Of 5,181 records, 41 studies met inclusion criteria. Most of the participants in the included studies were over 40 years old. Smartphone app-based interventions predominated, accounting for 36.5%, followed by web-based interventions at 34.2%. The ADCES 7 Self-Care Behaviors framework, which underpins the National Standards for DSME/S, was the most frequently identified framework (n=14, 34%). Shaping Knowledge, Goals and Planning, Social Support, and Monitoring were the most frequently applied behavior change domains, reflecting a stronger emphasis on individual-level capabilities than on contextual or system-level changes. No single theory was consistently associated with positive clinical or behavioral outcomes across studies. Conclusions: This review identified the theoretical frameworks, behavioral domains and techniques targeted in current digital DSME/S. Future research is needed to evaluate the effectiveness of digital DSME/S interventions across diverse populations and to identify behavior change techniques tailored to specific subgroups, such as individuals with early-onset type 2 diabetes.

Indexed as

behavior change techniquesdigital healthscoping reviewtechnologytheory-driven interventiontype 2 diabetes

Identifiers

PMID42226764
PMCPMC13222451

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.