Breeze Penny, Pidd Katharine, Pollard Daniel, Ren Shijie, Bates Sarah, Thomas Chloe, Ahern Amy, Griffin Simon, Brennan Alan
Sheffield Centre of Health and related Research School of Medicine and Population Health, University of Sheffield, Sheffield, United Kingdom.
MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Int J Obes (Lond). 2025 May 22. doi: 10.1038/s41366-025-01804-7.
To analyse whether conducting a randomised controlled trial (RCT) to evaluate an online weight maintenance guided self-help intervention (Supporting Weight Management (SWiM)) would offer good value for money in the United Kingdom.
We examined 24 RCT designs by varying inclusion criteria (participants completing behavioural weight management, specialist-led weight management, diabetes prevention programme, type 2 diabetes remission, digital weight management, all weight management services), trial duration (1-2 years), and sample size (n = 500 or 2000). Trial benefits were estimated by the method of expected value of sample information analysis using a health economic model. The model examines how the proposed intervention affects weight maintenance over time (with uncertainty), and generates estimated lifetime Quality Adjusted Life Years (QALYs) and National Health Service (NHS) costs. Structured expert elicitation with 4 experts was undertaken to quantify pre-trial uncertainty in the effectiveness of SWiM compared with usual care. All trial designs were simulated to estimate trial benefits: the reduction in the costs of an inefficient decision for future populations over 10 years. Trial designs offer value for money if trial benefits exceed trial costs.
For three inclusion criteria options (groups recently completing 'diabetes remission', 'digital weight management' or 'specialist weight management'), the cost of the proposed trials was estimated to exceed the estimated trial benefit (value of the reduction in decision uncertainty) over 10 years. For the other three inclusion criteria options (groups recently completed 'behavioural weight management', 'diabetes prevention programme', or 'all weight loss programmes'), 12 trial designs produced greater benefits than costs. The optimal trial design option would include 'all weight loss programmes', with 2 years follow-up and sample size n = 2000.
Investment in a large RCT to evaluate the SWiM intervention for patients completing a range of weight loss interventions offers the greatest value to the NHS.
分析在英国开展一项随机对照试验(RCT)以评估在线体重维持引导自助干预措施(支持体重管理(SWiM))是否具有成本效益。
我们通过改变纳入标准(完成行为体重管理、专家主导的体重管理、糖尿病预防计划、2型糖尿病缓解、数字体重管理、所有体重管理服务的参与者)、试验持续时间(1 - 2年)和样本量(n = 500或2000)来研究24种RCT设计。使用健康经济模型通过样本信息分析期望值方法估计试验效益。该模型研究拟议的干预措施如何随时间影响体重维持(存在不确定性),并生成估计的终生质量调整生命年(QALY)和国民医疗服务体系(NHS)成本。与4位专家进行结构化专家咨询,以量化SWiM与常规护理相比在试验前有效性方面的不确定性。对所有试验设计进行模拟以估计试验效益:未来10年低效决策成本的降低。如果试验效益超过试验成本,则试验设计具有成本效益。
对于三种纳入标准选项(最近完成“糖尿病缓解”“数字体重管理”或“专家体重管理”的组),预计拟议试验的成本在10年内将超过估计的试验效益(决策不确定性降低的价值)。对于其他三种纳入标准选项(最近完成“行为体重管理”“糖尿病预防计划”或“所有减肥计划”的组),12种试验设计产生的效益大于成本。最佳试验设计选项将包括“所有减肥计划”,随访2年,样本量n = 2000。
对一项大型RCT进行投资,以评估针对完成一系列减肥干预措施的患者的SWiM干预措施,对NHS具有最大价值。