Evidence map›Paper›PMID 32269830›Full record

ReviewDigital health

A systematic review of the behaviour change techniques and digital features in technology-driven type 2 diabetes prevention interventions.

Luke Van Rhoon, Molly Byrne, Eimear Morrissey, Jane Murphy, Jenny McSharry

Registry-linked trialAbstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 18 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT06265662 naunknown statusnot on this map

A Digital Health Program for Non-Communicable Disease Prevention in a Workplace Setting in Thailand: A Quasi-Experimental Study

TypeinterventionalSponsorChulalongkorn UniversityRan2024 to 2025Enrolled150ConditionsChronic Disease, Noncommunicable DiseasesArmsA Digital Health Program for Non-Communicable Disease Prevention in a Workplace Setting in Thailand
3 · Its place in the literature

Who cites it

113 citing papers in PubMed, 18 syntheses or guidelines pooled it.

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  2. 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 · 2026
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  3. 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 · 2025
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53 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Luke Van RhoonHealth Behaviour Change Research Group, School of Psychology, National University of Ireland Galway, Ireland.ORCID https://orcid.org/0000-0003-2698-1508
Molly ByrneHealth Behaviour Change Research Group, School of Psychology, National University of Ireland Galway, Ireland.
Eimear MorrisseyHealth Behaviour Change Research Group, School of Psychology, National University of Ireland Galway, Ireland.
Jane MurphyMedication Adherence Across the Lifespan Research Group, School of Psychology, National University of Ireland Galway, Ireland.
Jenny McSharryHealth Behaviour Change Research Group, School of Psychology, National University of Ireland Galway, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

diabetes preventiondietdigital healthhealth behaviour changephysical activitySystematic reviewtype 2 diabetesweight loss

Identifiers

PMID32269830
PMCPMC7093696

What OpenQuestion holds

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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.