Statistical analysis plan for the 24-week randomised trial of hypoglycaemia prevention, awareness of symptoms, and treatment: HypoPAST

为期 24 周的低血糖预防、症状认知和治疗随机试验 HypoPAST 的统计分析计划

阅读:1

Abstract

BACKGROUND: The HypoPAST (Hypoglycaemia Prevention, Awareness of Symptoms, and Treatment) randomised controlled trial aims to examine the effectiveness of an online psycho-educational intervention for reducing fear of hypoglycaemia among adults with type 1 diabetes. This statistical analysis plan provides the framework to assess the primary, secondary, and safety outcomes of the trial. The plan was written prior to database lock and in accordance with the SPIRIT guidelines. METHODS: HypoPAST is a 24-week, two-arm, parallel-group, hybrid type 1 randomised controlled trial. The primary outcome is the difference in mean Hypoglycaemia Fear Survey II Worry subscale scores at 24 weeks between intervention and control arms. Secondary outcomes include between-arm differences in psychological, clinical and behavioural measures at mid- and end-trial. Primary and secondary outcomes will be analysed using mixed-effects models under the intention-to-treat principle. A sensitivity analysis will examine assumptions regarding missing data, and a per-protocol analysis will estimate the intervention effect among participants who engage with HypoPAST. Table shells for all prespecified analyses are provided to support transparent reporting. CONCLUSION: Consistent with best practice, all analyses described were prespecified prior to completion of trial data collection. The analysis methods were developed by statisticians, with input from trial investigators. This analysis plan provides a rigorous framework for the analysis of the HypoPAST trial data, ensuring the results will be robust and reproducible. TRIAL REGISTRATION: The trial is registered on the Australian and New Zealand Clinical Trials Registry: ACTRN12623000894695 (August 21, 2023).

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。