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自动化远程通讯干预以促进心脏代谢药物的依从性:有效性的荟萃分析和行为改变技术的荟萃回归。

Automated telecommunication interventions to promote adherence to cardio-metabolic medications: meta-analysis of effectiveness and meta-regression of behaviour change techniques.

机构信息

a Behavioural Science Group , University of Cambridge , Cambridge , UK.

出版信息

Health Psychol Rev. 2018 Mar;12(1):25-42. doi: 10.1080/17437199.2017.1365617. Epub 2017 Sep 12.

Abstract

Automated telecommunication interventions, including short message service and interactive voice response, are increasingly being used to promote adherence to medications prescribed for cardio-metabolic conditions. This systematic review aimed to comprehensively assess the effectiveness of such interventions to support medication adherence, and to identify the behaviour change techniques (BCTs) and other intervention characteristics that are positively associated with greater intervention effectiveness. Meta-analysis of 17 randomised controlled trials showed a small but statistically significant effect on medication adherence, OR = 1.89, 95% CI [1.51, 2.36], I = 89%, N = 25,101. Multivariable meta-regression analysis including eight BCTs explained 88% of the observed variance in effect size (ES). The BCTs 'tailored' and 'information about health consequences' were positively and significantly associated with ES. Future studies could explore whether the inclusion of these and/or additional techniques (e.g., 'implementation intentions') would increase the effect of automated telecommunication interventions, using rigorous designs and objective outcome measures.

摘要

自动化远程通讯干预,包括短信服务和互动语音应答,越来越多地被用于促进遵守针对心脏代谢疾病的处方药物。本系统评价旨在全面评估此类干预措施在支持药物依从性方面的有效性,并确定与更大干预效果呈正相关的行为改变技术(BCTs)和其他干预特征。对 17 项随机对照试验的荟萃分析显示,药物依从性有较小但具有统计学意义的影响,OR=1.89,95%CI [1.51, 2.36],I=89%,N=25101。包括 8 个 BCT 的多变量荟萃回归分析解释了观察到的效应大小(ES)变异的 88%。BCTs“量身定制”和“关于健康后果的信息”与 ES 呈正相关且有统计学意义。未来的研究可以探索使用严格的设计和客观的结果测量,是否纳入这些和/或其他技术(例如“实施意图”)会增加自动化远程通讯干预的效果。

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