ReviewDigital health
A systematic review of the behaviour change techniques and digital features in technology-driven type 2 diabetes prevention interventions.
Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06265662 (A Digital Health Program for Non-Communicable Disease Prevention in a Workplace Setting in Thailand), which is not on this map. Cited by 113 papers, 18 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Digital Health Program for Non-Communicable Disease Prevention in a Workplace Setting in Thailand: A Quasi-Experimental Study
Who cites it
113 citing papers in PubMed, 18 syntheses or guidelines pooled it.
- Technology-Based Interventions for Prevention of Type 2 Diabetes Following Gestational Diabetes: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Identifying Social Media-Based Interactions That Help Adults to Adhere to Weight Loss Goals: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Pooled it
- Behavior change techniques in low-calorie and very low-calorie diet interventions for weight loss: A systematic review with meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Pooled it
- Use of Behavior Change Techniques in Digital HIV Prevention Programs for Adolescents and Young People: Systematic Review.JMIR public health and surveillance · 2025Pooled it
- Digital Health Interventions to Prevent Type 2 Diabetes Mellitus: Systematic Review.Journal of medical Internet research · 2025Pooled it
- A meta-analysis of behaviour change techniques in social interventions targeting improved cognitive function in older adults.BMC public health · 2025Pooled it
- Assessing the Effectiveness of Digital Health Behavior Strategies on Type 2 Diabetes Management: Systematic Review and Network Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Pooled it
- Behavior Change Techniques Within Digital Interventions for the Treatment of Eating Disorders: Systematic Review and Meta-Analysis.JMIR mental health · 2024Pooled it
- Cross-Cutting mHealth Behavior Change Techniques to Support Treatment Adherence and Self-Management of Complex Medical Conditions: Systematic Review.JMIR mHealth and uHealth · 2024Pooled it
- Behavior Change Techniques in Digital Health Interventions for Midlife Women: Systematic Review.JMIR mHealth and uHealth · 2022Pooled it
- The Use of Mobile Health Interventions for Outcomes among Middle-Aged and Elderly Patients with Prediabetes: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- The Effectiveness of Physical Activity-Promoting Web- and Mobile-Based Distance Weight Loss Interventions on Body Composition in Rehabilitation Settings: Systematic Review, Meta-analysis, and Meta-Regression Analysis.Journal of medical Internet research · 2022Pooled it
- Facilitators and barriers for lifestyle change in people with prediabetes: a meta-synthesis of qualitative studies.BMC public health · 2022Pooled it
- Behaviour change interventions to increase physical activity in hospitalised patients: a systematic review, meta-analysis and meta-regression.Age and ageing · 2022Pooled it
- Pooled it
- Efficacy of Interventions That Incorporate Mobile Apps in Facilitating Weight Loss and Health Behavior Change in the Asian Population: Systematic Review and Meta-analysis.Journal of medical Internet research · 2021Pooled it
- Effectiveness of Mobile Apps to Promote Health and Manage Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials.JMIR mHealth and uHealth · 2021Pooled it
- Mobile Phone App to Promote Lifestyle Change in People at Risk of Type 2 Diabetes: Feasibility 3-Arm Randomized Controlled Trial.JMIR formative research · 2025Trial
- A digitally supported multimodal lifestyle program to promote brain health among older adults (the LETHE randomized controlled feasibility trial): study design, progress, and first results.Alzheimer's research & therapy · 2024Trial
53 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesOur aim was to conduct a systematic review to determine which technology-driven diabetes prevention interventions were effective in producing clinically significant weight loss, and to identify the behaviour change techniques and digital features frequently used in effective interventions.
methodsWe searched five databases (CINAHL, EMBASE, MEDLINE, PsychINFO, and Pubmed) from inception to September 2018 and reviewed 19 experimental and non-experimental studies of 21 technology-driven diet plus physical activity interventions for adults (≥18 years) at risk of developing type 2 diabetes. Behaviour change techniques were coded using the BCT taxonomy v1, and digital features were identified via thematic analysis of intervention descriptions.
resultsSixty-three per cent of interventions were effective in the short term (achieving ≥3% weight loss at ≤6 months), using an average of 5.6 more behaviour change techniques than non-effective interventions, and 33% were effective in the long term (achieving ≥5% weight loss at ≥12 months), using 3.7 more behaviour change techniques than non-effective interventions. The techniques of social support (unspecified), goal setting (outcome/behaviour), feedback on behaviour, and self-monitoring of outcome(s) of behaviour were identified in over 90% of effective interventions. Interventions containing digital features that facilitated health and lifestyle education, behaviour/outcome tracking, and/or online health coaching were most effective.
conclusionThe integration of specific behaviour change techniques and digital features may optimise digital diabetes prevention interventions to achieve clinically significant weight loss. Additional research is needed to identify the mechanisms in which behaviour change techniques and digital features directly influence physical activity, dietary behaviours, and intervention engagement.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.