Gandhi Mihir, Assam Pryseley Nkouibert, Turner Elizabeth L, Morisky Donald E, Chan Edwin, Jafar Tazeen H
Department of Biostatistics, Singapore Clinical Research Institute, #02-01, Nanos, 31 Biopolis Way, Singapore, Singapore.
Centre for Quantitative Medicine, Duke-NUS Medical School, Leve 6, Academia, 20 College Road, Singapore, Singapore.
Trials. 2018 Nov 29;19(1):658. doi: 10.1186/s13063-018-3022-8.
In rural south Asia, hypertension remains a significant public health issue with sub-optimal blood pressure (BP) control rates. The goal of the trial is to evaluate the effectiveness and cost-effectiveness of a multicomponent intervention (MCI) compared to usual care on lowering BP among adults with hypertension in rural south-Asian communities. This article describes the statistical analysis plan for the primary and secondary objectives related to intervention effectiveness based on clinical and patient-reported endpoints.
METHODS/DESIGN: The study is a cluster randomized trial which will enroll 2550 participants aged ≥ 40 years with hypertension from rural communities in Bangladesh, Pakistan, and Sri Lanka. The unit of randomization is a cluster defined by 250-300 households. Thirty clusters, 10 from each country, are randomized in a 1:1 ratio to either MCI or usual care, stratified by country and their distance from the clinic. All participants will be assessed every six months over a two-year period after baseline with measurements of systolic and diastolic BP, antihypertensive and statin medication use, medication adherence, physical activity level, anthropometric parameters, smoking status, and dietary habits. The primary objective is to assess the effectiveness of MCI as compared with usual care in terms of mean change in systolic BP from baseline to final follow-up at two years. The primary outcome will be modelled using a generalized linear mixed-model for repeated measures based on a participant-level analysis. The model will include cluster random-effects and will use a non-independence residual correlation matrix to account for repeated measures on the same participant. Sensitivity analyses for the primary endpoint will be based on multiple imputation as well as pattern mixture model tipping point analyses. Secondary outcomes will be analyzed using the same modeling approach as for the primary outcome, with appropriate distributions within the exponential family and corresponding link functions.
The a priori statistical analysis plan will avoid reporting bias and data-driven analysis for the primary and key secondary outcomes. The results of the study will provide evidence of the benefits and risks of the MCI for BP control in rural communities in south Asian countries with low-resourced public health infrastructure.
Clinicaltrials.gov, NCT02657746 . Registered on 14 January 2016.
在南亚农村地区,高血压仍然是一个重大的公共卫生问题,血压控制率不理想。该试验的目的是评估多组分干预措施(MCI)与常规护理相比,对南亚农村社区高血压成年人降低血压的有效性和成本效益。本文描述了基于临床和患者报告终点的与干预效果相关的主要和次要目标的统计分析计划。
方法/设计:该研究是一项整群随机试验,将招募2550名年龄≥40岁、来自孟加拉国、巴基斯坦和斯里兰卡农村社区的高血压患者。随机分组单位是由250 - 300户家庭组成的群组。30个群组,每个国家10个,按1:1的比例随机分为MCI组或常规护理组,按国家及其与诊所的距离分层。在基线后的两年期间,所有参与者每六个月接受一次评估,测量收缩压和舒张压、抗高血压和他汀类药物使用情况、药物依从性、身体活动水平、人体测量参数、吸烟状况和饮食习惯。主要目标是评估MCI与常规护理相比,在两年内从基线到最终随访时收缩压的平均变化方面的有效性。主要结局将使用基于参与者水平分析的重复测量广义线性混合模型进行建模。该模型将包括群组随机效应,并将使用非独立残差相关矩阵来考虑对同一参与者的重复测量。主要终点的敏感性分析将基于多重填补以及模式混合模型临界点分析。次要结局将使用与主要结局相同的建模方法进行分析,在指数族内具有适当的分布和相应的连接函数。
先验统计分析计划将避免对主要和关键次要结局的报告偏倚和数据驱动分析。该研究结果将为资源匮乏的公共卫生基础设施的南亚国家农村社区中MCI对血压控制的益处和风险提供证据。
Clinicaltrials.gov,NCT02657746。于2016年1月14日注册。