mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED): statistical analysis plan.

IF 2 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Trials Pub Date : 2025-05-20 DOI:10.1186/s13063-025-08865-z
Tomas Vetrovsky, Norbert Kral, Marketa Pfeiferova, Bohumil Seifert, Vaclav Capek, Katerina Jurkova, Michal Steffl, Richard Cimler, Jitka Kuhnova, Tess Harris, Michael Ussher, Charlotte Wahlich, Katerina Malisova, Jana Pelclova, Jan Dygryn, Steriani Elavsky, Iris Maes, Delfien Van Dyck, Alex Rowlands, Tom Yates
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引用次数: 0

Abstract

Background: Type 2 diabetes and prediabetes represent significant global health challenges, with physical activity (PA) being essential for disease management and prevention. Despite the well-documented benefits, many individuals with (pre)diabetes remain insufficiently active. General practitioners (GP) provide an accessible platform for delivering interventions; however, integrating PA interventions into routine care is hindered by resource constraints.

Objectives: The ENERGISED trial aims to address these barriers through an innovative GP-initiated mHealth intervention combining wearable technology and just-in-time adaptive interventions.

Methods: The ENERGISED trial is a pragmatic, 12-month, multicentre, randomised controlled trial, assessing a GP-initiated mHealth intervention to increase PA and reduce sedentary behaviour in patients with type 2 diabetes and prediabetes. The primary outcome is daily step count, assessed via wrist-worn accelerometry. The primary analysis follows the intention-to-treat principle, using mixed models for repeated measures. Missing data will be handled under the missing-at-random assumption, with sensitivity analyses exploring robustness through reference-based multiple imputation. The trial incorporates the estimand framework to provide transparent and structured treatment effect estimation.

Discussion: This statistical analysis plan outlines a robust approach to addressing participant non-adherence, protocol violations, and missing data. By adopting the estimand framework and pre-specified sensitivity analyses, the plan ensures methodological rigour while enhancing the interpretability and applicability of results.

Conclusions: The ENERGISED trial leverages innovative mHealth strategies within primary care to promote PA in individuals with (pre)diabetes. The pre-specified statistical framework provides a comprehensive guide for analysing trial data and contributes to advancing best practices in behavioural intervention trials for public health.

Trial registration: ClinicalTrials.gov NCT05351359 . Registered on April 28, 2022.

在一般实践中提供移动健康干预,以增加糖尿病前期和2型糖尿病患者的身体活动和减少久坐行为(ENERGISED):统计分析计划。
背景:2型糖尿病和前驱糖尿病代表着重大的全球健康挑战,体育活动(PA)对于疾病管理和预防至关重要。尽管有充分的证据证明这些益处,但许多糖尿病患者(前期)仍然缺乏足够的运动。全科医生(GP)为提供干预措施提供了一个无障碍的平台;然而,将PA干预措施纳入常规护理受到资源限制的阻碍。目的:ENERGISED试验旨在通过结合可穿戴技术和即时适应性干预的创新gp发起的移动健康干预来解决这些障碍。方法:ENERGISED试验是一项实用的、为期12个月的多中心随机对照试验,评估gp发起的移动健康干预,以增加2型糖尿病和前驱糖尿病患者的PA和减少久坐行为。主要结果是每日步数,通过腕带加速度计评估。初步分析遵循意向治疗原则,使用混合模型进行重复测量。缺失数据将在随机缺失假设下进行处理,并通过基于参考的多重插值进行敏感性分析,探索鲁棒性。该试验纳入了评估框架,以提供透明和结构化的治疗效果评估。讨论:此统计分析计划概述了解决参与者不遵守协议、违反协议和丢失数据的可靠方法。通过采用估算框架和预先指定的敏感性分析,该计划确保了方法的严谨性,同时提高了结果的可解释性和适用性。结论:ENERGISED试验在初级保健中利用创新的移动健康策略来促进(前期)糖尿病患者的PA。预先规定的统计框架为分析试验数据提供了全面指南,并有助于促进公共卫生行为干预试验的最佳做法。试验注册:ClinicalTrials.gov NCT05351359。注册于2022年4月28日。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Trials
Trials 医学-医学:研究与实验
CiteScore
3.80
自引率
4.00%
发文量
966
审稿时长
6 months
期刊介绍: Trials is an open access, peer-reviewed, online journal that will encompass all aspects of the performance and findings of randomized controlled trials. Trials will experiment with, and then refine, innovative approaches to improving communication about trials. We are keen to move beyond publishing traditional trial results articles (although these will be included). We believe this represents an exciting opportunity to advance the science and reporting of trials. Prior to 2006, Trials was published as Current Controlled Trials in Cardiovascular Medicine (CCTCVM). All published CCTCVM articles are available via the Trials website and citations to CCTCVM article URLs will continue to be supported.
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