Evidence map›Paper›PMID 37041541›Full record

ArticleBMC health services research2023

The influence of demographic, health and psychosocial factors on patient uptake of the English NHS diabetes prevention programme.

David Reeves, Adrine Ablitt Woodham, David French, Peter Bower, Fiona Holland, Evangelos Kontopantelis, Sarah Cotterill

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 19 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

David ReevesNational Institute for Health Research School for Primary Care Research, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK. David.reeves@manchester.ac.uk.
Adrine Ablitt WoodhamNational Institute for Health Research School for Primary Care Research, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
David FrenchManchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, University of Manchester, Manchester, UK.
Peter BowerCentre for Primary Care and Health Services Research, School of Health Sciences, NIHR ARC Greater Manchester, The University of Manchester, Manchester, UK.
Fiona HollandNational Institute for Health Research School for Primary Care Research, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Evangelos KontopantelisNational Institute for Health Research School for Primary Care Research, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Sarah CotterillCentre for Biostatistics, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Manchester Academic Health Science Centre · GBUniversity of Manchester · GBNational Institute for Health Research · GB

Funding

National Institute for Health and Care Research 16/48/07
6 · The paper itself

Abstract

backgroundThe prevention of type 2 diabetes (T2DM) is a major concern for health services around the world. The English NHS Diabetes Prevention Programme (NHS-DPP) offers a group face-to-face behaviour change intervention, based around exercise and diet, to adults with non-diabetic hyperglycaemia (NDH), referred from primary care. Previous analysis of the first 100,000 referrals revealed just over half of those referred to the NHS-DPP took up a place. This study aimed to identify the demographic, health and psychosocial factors associated with NHS-DPP uptake to help inform the development of interventions to improve uptake and address inequities between population groups.

methodsDrawing on the Behavioral Model of Health Services Utilization we developed a survey questionnaire to collect data on a wide range of demographic, health and psychosocial factors that might influence uptake of the NHS-DPP. We distributed this questionnaire to a cross-sectional random sample of 597 patients referred to the NHS-DPP across 17 general practices, chosen for variation. Multivariable regression analysis was used to identify factors associated with NHS-DPP uptake.

results325 out of 597 questionnaires were completed (54%). Only a third of responders took up the offer of a place. The best performing model for uptake (AUC = 0.78) consisted of four factors: older age; beliefs concerning personal vulnerability to T2DM; self-efficacy for reducing T2DM risk; and the efficacy of the NHS-DPP. After accounting for these, demographic and health-related factors played only a minor role.

conclusionUnlike fixed demographic characteristics, psychosocial perceptions may be amenable to change. NHS-DPP uptake rates may be improved by targeting the beliefs of patients about their risk of developing T2DM, their ability to carry out and sustain behaviours to reduce this risk, and the efficacy of the NHS-DPP in providing the necessary understanding and skills required. The recently introduced digital version of the NHS DPP could help address the even lower uptake amongst younger adults. Such changes could facilitate proportional access from across different demographic strata.

Indexed as

Diabetes Mellitus, Type 2HyperglycemiaAdultCross-Sectional StudiesDemographyHumansState MedicineDiabetesDiabetes prevention programmeNHS-DPPNon-diabetic hyperglycaemiaPre-diabetesPsychosocialRisk factors

Identifiers

PMID37041541
PMCPMC10091609
OpenAlexW4364381121

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.