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.

Antonia Marsden, Mark Hann, Emma Barron, Jamie Ross, Jonathan Valabhji, Elizabeth Murray, Sarah Cotterill

Research output: Contribution to journalArticlepeer-review

Abstract

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 65741 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.
Original languageEnglish
Article number102161
JournalPreventive Medicine Reports
Volume32
Early online date20 Feb 2023
DOIs
Publication statusPublished - 1 Apr 2023

Keywords

  • weight loss
  • Diabetes Mellitus, Type 2
  • National Health Programs
  • eHealth: Telemedicine
  • Diet, Healthy
  • Preventive health services
  • Self-management
  • Non-inferiority
  • cohort analysis
  • method for dealing with missing data

Fingerprint

Dive into the research topics of '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.'. Together they form a unique fingerprint.

Cite this