Comparison of weight change between face-to-face and digital delivery of the English National Health service diabetes prevention programme: An exploratory non-inferiority study with imputation of plausible weight outcomes.
(BMI), Body Mass Index
CCG, Clinical Commissioning Group
CI, Confidence interval
Cohort studies
DIPLOMA, Diabetes Prevention – Long Term Multimethod Assessment
Diabetes mellitus, Type 2
Diet, healthy
FPG, Fasting Blood Glucose (a test for diagnosing diabetes and the risk of diabetes)
HbA1c, Haemoglobin A1c (a test for diagnosing diabetes and the risk of diabetes)
IMD, Index of Multiple deprivation
Method for dealing with missing data
NHS DPP, National Health Service Diabetes Prevention Programme
National health programs
Non-inferiority
Preventive health services
STP, Sustainability and Transformation Partnership
Self-management
Weight loss
eHealth: Telemedicine
Journal
Preventive medicine reports
ISSN: 2211-3355
Titre abrégé: Prev Med Rep
Pays: United States
ID NLM: 101643766
Informations de publication
Date de publication:
Apr 2023
Apr 2023
Historique:
received:
11
10
2022
revised:
17
02
2023
accepted:
19
02
2023
entrez:
17
3
2023
pubmed:
18
3
2023
medline:
18
3
2023
Statut:
epublish
Résumé
Worldwide evidence suggests face-to-face diabetes prevention programmes are effective in preventing and delaying the onset of type 2 diabetes by encouraging behaviour change towards weight loss, healthy eating, and increased exercise. There is an absence of evidence on whether digital delivery is as effective as face-to-face. During 2017-18 patients in England were offered the National Health Service Diabetes Prevention Programme as group-based face-to-face delivery, digital delivery ('digital-only') or a choice between digital and face-to-face ('digital-choice'). The contemporaneous delivery allowed for a robust non-inferiority study, comparing face-to-face with digital only and digital choice cohorts. Changes in weight at 6 months were missing for around half of participants. Here we take a novel approach, estimating the average effect in all 65,741 individuals who enrolled in the programme, by making a range of plausible assumptions about weight change in individuals who did not provide outcome data. The benefit of this approach is that it includes everyone who enrolled in the programme, not restricted to those who completed. We analysed the data using multiple linear regression models. Under all scenarios explored, enrolment in the digital diabetes prevention programme was associated with clinically significant reductions in weight which were at least equivalent to weight loss in the face-to-face programme. Digital services can be just as effective as face-to-face in delivering a population-based approach to the prevention of type 2 diabetes. Imputation of plausible outcomes is a feasible methodological approach, suitable for analysis of routine data in settings where outcomes are missing for non-attenders.
Identifiants
pubmed: 36926593
doi: 10.1016/j.pmedr.2023.102161
pii: S2211-3355(23)00052-9
pmc: PMC10011422
doi:
Types de publication
Journal Article
Langues
eng
Pagination
102161Informations de copyright
© 2023 The Authors. Published by Elsevier Inc.
Déclaration de conflit d'intérêts
AM, MH, EB, BM and SC declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. EM is managing director of a not-for-profit Community Interest Company, HeLP-Digital, which exists to disseminate a digital diabetes self-management programme, HeLP-Diabetes, across the NHS. JV is the national clinical director for diabetes and obesity at NHS England.
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