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英国国家医疗服务体系糖尿病预防计划面对面交付与数字交付之间体重变化的比较:一项对似是而非的体重结果进行插补的探索性非劣效性研究。

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.

作者信息

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

机构信息

Centre for Biostatistics, School of Health Sciences, University of Manchester, Oxford Road, Manchester M13 9PL, UK.

Centre for Primary Care and Health Services Research, School of Health Sciences, University of Manchester, Oxford Road, Manchester M13 9PL, UK.

出版信息

Prev Med Rep. 2023 Feb 20;32:102161. doi: 10.1016/j.pmedr.2023.102161. eCollection 2023 Apr.

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.

摘要

全球证据表明,面对面的糖尿病预防项目通过鼓励人们在体重减轻、健康饮食和增加运动方面改变行为,在预防和延缓2型糖尿病发病方面是有效的。目前尚无证据表明数字化交付是否与面对面交付同样有效。在2017 - 18年期间,英格兰的患者可以选择参加国民保健署糖尿病预防项目,该项目有基于小组的面对面交付、数字化交付(“仅数字化”)或数字化与面对面之间的选择(“数字化选择”)。同期交付使得进行一项有力的非劣效性研究成为可能,该研究将面对面交付组与仅数字化交付组和数字化选择组进行比较。约一半参与者缺少6个月时的体重变化数据。在此,我们采用一种新颖的方法,通过对未提供结果数据的个体的体重变化做出一系列合理假设,来估计所有65741名参与该项目个体的平均效果。这种方法的好处是它涵盖了所有参与该项目的人,而不仅限于完成项目的人。我们使用多元线性回归模型分析了数据。在所有探索的情景下,参与数字化糖尿病预防项目都与临床上显著的体重减轻相关,且至少等同于面对面项目中的体重减轻。在采用基于人群的方法预防2型糖尿病方面,数字服务与面对面服务同样有效。对合理结果进行插补是一种可行的方法,适用于分析非参与者缺少结果数据的常规数据。

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