Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Second Nature, London, UK.
Trials. 2024 Jul 13;25(1):477. doi: 10.1186/s13063-024-08320-5.
Digitally delivered weight loss programmes can provide a convenient, potentially cheaper, and scalable treatment option for people who may need to lose weight. However, outcomes are often inferior to in-person interventions in the long-term. This trial will use principles from the Multiphase Optimisation Strategy (MOST) framework to test whether it can enhance the effectiveness of a commercial digital behavioural weight loss programme. This trial aims to identify an optimised combination of four intervention components to enhance weight loss over a 24-week period. We will also explore which components contribute to improvements in participant retention and engagement with the programme.
Approximately 1400 adults with a BMI > 21 kg/m will be enrolled and randomised to one of 16 experimental conditions in a 2 factorial cluster design. The trial will test four intervention components: an introductory video call with the health coach, drop-in webchat sessions with the health coach, goal setting statements, and food diary review and feedback. All participants will receive the core digital behavioural weight loss programme and up to four new intervention components. Participation in the trial will last for 24 weeks. The primary outcome will be weight change at 16 weeks. Other outcomes, measured at 4, 16, and 24 weeks, include programme drop-out and engagement (number of interactions with the three main app functions). Fidelity and acceptability will be assessed using data on component adherence and self-report questionnaires. Decision-making for the enhanced programme will be based on components that contribute to at least a minimal improvement in weight loss, defined as ≥ 0.75kg, alone or in combination with other components.
The factorial design is an efficient way to test the efficacy of behavioural components alone, or in combination, to improve the effectiveness of digital weight loss programmes. This trial will test the implementation of the MOST framework in an industry setting, using routinely collected data, which may provide a better way to refine and evaluate these types of interventions in a model of continuous service improvement.
Trial registration: ISRCTN, ISRCTN14407868. Registered 5 January 2024, 10.1186/ISRCTN14407868.
数字化减肥项目可以为那些需要减肥的人提供便捷、潜在更便宜且可扩展的治疗选择。然而,长期来看,其效果往往逊于面对面干预。本试验将利用多阶段优化策略 (MOST) 框架的原则来测试其是否能增强商业数字化行为减肥项目的效果。本试验旨在确定增强 24 周减肥效果的最佳组合,其中包括四个干预成分。我们还将探索哪些成分有助于提高参与者对项目的保留率和参与度。
约 1400 名 BMI>21kg/m2 的成年人将被纳入并随机分配到 2 因子聚类设计的 16 个实验组中。试验将测试四个干预成分:与健康教练的介绍视频通话、与健康教练的即时网络聊天会话、目标设定陈述、以及食物日记审查和反馈。所有参与者将获得核心数字化行为减肥项目以及最多四个新的干预成分。试验参与期为 24 周。主要结局为 16 周时的体重变化。其他结局,在 4、16 和 24 周时测量,包括项目退出和参与度(与三个主要应用程序功能交互的次数)。使用关于成分坚持性和自我报告问卷的数据来评估保真度和可接受性。增强型方案的决策将基于单独或与其他成分结合至少能使体重减轻至少 0.75kg 的成分。
因子设计是测试行为成分单独或组合的有效性,以提高数字化减肥项目效果的有效方法。本试验将在行业环境中测试 MOST 框架的实施,使用常规收集的数据,这可能为在持续服务改进模型中优化和评估这些类型的干预提供更好的方法。
试验注册:ISRCTN,ISRCTN14407868。于 2024 年 1 月 5 日注册,10.1186/ISRCTN14407868。