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Interventions to Improve Medication Adherence in Hypertensive Patients: Systematic Review and Meta-analysis

机译:改善高血压患者药物依从性的干预措施:系统评价和荟萃分析

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摘要

This systematic review applied meta-analytic procedures to synthesize medication adherence interventions that focus on adults with hypertension. Comprehensive searching located trials with medication adherence behavior outcomes. Study sample, design, intervention characteristics, and outcomes were coded. Random-effects models were used in calculating standardized mean difference effect sizes. Moderator analyses were conducted using meta-analytic analogues of ANOVA and regression to explore associations between effect sizes and sample, design, and intervention characteristics. Effect sizes were calculated for 112 eligible treatment-vs.-control group outcome comparisons of 34,272 subjects. The overall standardized mean difference effect size between treatment and control subjects was 0.300. Exploratory moderator analyses revealed interventions were most effective among female, older, and moderate- or high-income participants. The most promising intervention components were those linking adherence behavior with habits, giving adherence feedback to patients; self-monitoring of blood pressure, using pill boxes and other special packaging, and motivational interviewing. The most effective interventions employed multiple components and were delivered over many days. Future research should strive for minimizing risks of bias common in this literature, especially avoiding self-report adherence measures.
机译:这项系统的审查应用了荟萃分析程序来综合针对成年人高血压的药物依从性干预措施。全面搜索具有药物依从性行为结果的定位试验。研究样本,设计,干预特征和结果进行了编码。随机效应模型用于计算标准化的平均差异效应大小。使用ANOVA和回归分析的荟萃分析类似物进行主持人分析,以探讨效应量与样本,设计和干预特征之间的关联。计算了34,272名受试者的112例符合条件的治疗与对照组的结局比较的效应量。治疗和对照受试者之间的总体标准化平均差异作用大小为0.300。探索性主持人分析显示,干预措施在女性,年龄较大,中等或高收入参与者中最为有效。最有前途的干预措施是那些将依从行为与习惯联系起来,向患者提供依从性反馈的措施。自我监测血压,使用药盒和其他特殊包装以及动机访谈。最有效的干预措施采用了多个组成部分,并持续了几天。未来的研究应努力使文献中常见的偏见风险最小化,尤其是避免采用自我报告依从性措施。

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