Observational studyBMJ open diabetes research & care2022
Uptake and impact of the English National Health Service digital diabetes prevention programme: observational study.
Observational study in BMJ open diabetes research & care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 67 citations in OpenAlex.
- Effectiveness of Smartphone Application-Based Interventions to Prevent Type 2 Diabetes Mellitus in Individuals With Prediabetes: A Systematic Review and Meta-Analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Pooled it
- Digital Health Interventions to Prevent Type 2 Diabetes Mellitus: Systematic Review.Journal of medical Internet research · 2025Pooled it
- A 4-week community-implemented diabetes prevention program is associated with improved metabolic outcomes at 12 months after participation.Diabetic medicine : a journal of the British Diabetic Association · 2026Trial
- Sleep Improvement for Metabolic Health: A Feasibility Trial of a Digital Sleep Treatment in People With Insomnia and Non-Diabetic Hyperglycaemia.Journal of sleep research · 2026Article
- Cost-effectiveness of implementing the National Health Service England Diabetes Prevention Programme in Canada: a modelling study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2026Article
- Banting memorial lecture 2025: Aligning clinical practice, policy and research.Diabetic medicine : a journal of the British Diabetic Association · 2026Article
- Article
- Article
- Article
- A randomised controlled trial of a low-carbohydrate digitally-supported weight loss programme for type 2 diabetes.NPJ digital medicine · 2025Article
- Effectiveness and active ingredients of digital behaviour change interventions for MASLD: A systematic review and meta-analysis.JHEP reports : innovation in hepatology · 2025Article
- Use of technology in prediabetes and precision prevention.Journal of diabetes investigation · 2025Review
- Article
- Service users' experiences of, and engagement with, a nationally implemented digital diabetes prevention programme.British journal of health psychology · 2025Article
- Uptake of Digital Health Interventions for Cardiometabolic Disease in British South Asian Individuals: Think Aloud Study.JMIR human factors · 2024Article
- Article
- Observational
- Type 2 diabetes in children and adolescents: Exploring the disease heterogeneity and research gaps to optimum management.World journal of clinical pediatrics · 2024Review
- App Engagement as a Predictor of Weight Loss in Blended-Care Interventions: Retrospective Observational Study Using Large-Scale Real-World Data.Journal of medical Internet research · 2024Observational
- Changes in Healthcare Utilization After Lifestyle Intervention for Weight Loss.American journal of preventive medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introduction'Healthier You', the National Health Service (NHS) diabetes prevention programme (DPP) offers adults in England at high risk of type 2 diabetes (T2DM) an evidence-based behavioral intervention to prevent or delay T2DM onset. This study assesses the impact of a pilot digital stream of the DPP (DDPP) on glycated hemoglobin (HbA1c) and weight. RESEARCH DESIGN AND
methodsA service evaluation employing prospectively collected data in a prospective cohort design in nine NHS local pilot areas across England. Participants were adults with non-diabetic hyperglycemia (NDH) (HbA1c 42-47 mmol/mol or fasting plasma glucose 5.5-6.9 mmol/L) in the 12 months prior to referral. The DDPP comprised five digital health interventions (DHI). Joint primary outcomes were changes in HbA1c and weight between baseline and 12 months. HbA1c and weight readings were recorded at referral (baseline) by general practices, and then at 12-month postregistration. Demographic data and service variables were collected from the DHI providers.
results3623 participants with NDH registered for the DDPP and of these, 2734 (75%) were eligible for inclusion in the analyses. Final (12-month) follow-up data for HbA1c were available for 1799 (50%) and for weight 1817 (50%) of registered participants. Mean change at 12 months was -3.1 (-3.4 to -2.8) kg, p<0.001 for weight and -1.6 (-1.8 to -1.4) mmol/mol, p<0.001 for HbA1c. Access to peer support and a website and telephone service was associated with significantly greater reductions in HbA1c and weight.
conclusionsParticipation in the DDPP was associated with clinically significant reductions in weight and HbA1c. Digital diabetes prevention can be an effective and wide-reaching component of a population-based approach to addressing type 2 diabetes prevention.
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.