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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.
Marsden, Antonia M; Hann, Mark; Barron, Emma; Ross, Jamie; Valabhji, Jonathan; Murray, Elizabeth; Cotterill, Sarah.
Afiliação
  • Marsden AM; Centre for Biostatistics, School of Health Sciences, University of Manchester, Oxford Road, Manchester M13 9PL, UK.
  • Hann M; Centre for Primary Care and Health Services Research, School of Health Sciences, University of Manchester, Oxford Road, Manchester M13 9PL, UK.
  • Barron E; NHS England, London SE1 6LH, UK.
  • Ross J; Centre for Primary Care, Wolfson Institute of Population Health Science, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AD, UK.
  • Valabhji J; NHS England, London SE1 6LH, UK.
  • Murray E; Imperial College Healthcare NHS Trust, The Bays, S Wharf Rd, London W2 1NY, UK.
  • Cotterill S; Imperial College London, Exhibition Rd, South Kensington, London SW7 2BX, UK.
Prev Med Rep ; 32: 102161, 2023 Apr.
Article em En | MEDLINE | ID: mdl-36926593
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 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.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Prev Med Rep Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Prev Med Rep Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido