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Meta-Regression Analyses to Explain Statistical Heterogeneity in a Systematic Review of Strategies for Guideline Implementation in Primary Health Care

机译:系统回归评估初级卫生保健指南实施策略的系统分析中的Meta回归分析解释了统计异质性

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摘要

This study is an in-depth-analysis to explain statistical heterogeneity in a systematic review of implementation strategies to improve guideline adherence of primary care physicians in the treatment of patients with cardiovascular diseases. The systematic review included randomized controlled trials from a systematic search in MEDLINE, EMBASE, CENTRAL, conference proceedings and registers of ongoing studies. Implementation strategies were shown to be effective with substantial heterogeneity of treatment effects across all investigated strategies. Primary aim of this study was to explain different effects of eligible trials and to identify methodological and clinical effect modifiers. Random effects meta-regression models were used to simultaneously assess the influence of multimodal implementation strategies and effect modifiers on physician adherence. Effect modifiers included the staff responsible for implementation, level of prevention and definition pf the primary outcome, unit of randomization, duration of follow-up and risk of bias. Six clinical and methodological factors were investigated as potential effect modifiers of the efficacy of different implementation strategies on guideline adherence in primary care practices on the basis of information from 75 eligible trials. Five effect modifiers were able to explain a substantial amount of statistical heterogeneity. Physician adherence was improved by 62% (95% confidence interval (95% CI) 29 to 104%) or 29% (95% CI 5 to 60%) in trials where other non-medical professionals or nurses were included in the implementation process. Improvement of physician adherence was more successful in primary and secondary prevention of cardiovascular diseases by around 30% (30%; 95% CI -2 to 71% and 31%; 95% CI 9 to 57%, respectively) compared to tertiary prevention. This study aimed to identify effect modifiers of implementation strategies on physician adherence. Especially the cooperation of different health professionals in primary care practices might increase efficacy and guideline implementation seems to be more difficult in tertiary prevention of cardiovascular diseases.
机译:这项研究是一项深入分析,目的是在对实施策略的系统评价中解释统计异质性,以改善基层医疗医生治疗心血管疾病患者的指南依从性。系统评价包括对MEDLINE,EMBASE,CENTRAL,会议记录和进行中研究的登记进行系统检索的随机对照试验。在所有研究的策略中,实施策略均显示出有效的治疗效果异质性。这项研究的主要目的是解释合格试验的不同效果,并确定方法学和临床效果的改进剂。随机效应元回归模型用于同时评估多模式实施策略和效应修饰剂对医师依从性的影响。效果修饰语包括负责实施的人员,主要结果的预防水平和定义,随机分组,随访时间和偏倚风险。根据来自75项合格试验的信息,对六个临床和方法学因素进行了调查,以研究不同实施策略对基础治疗实践中指南依从性的疗效的潜在影响调节剂。五个效果修饰符能够解释大量的统计异质性。在实施过程中包括其他非医学专业人士或护士的试验中,医师依从性提高了62%(95%置信区间(95%CI)29%至104%)或29%(95%CI 5-60%) 。与三级预防相比,在心血管疾病的一级和二级预防中,医师依从性的改善更为成功,分别达到30%(30%; 95%CI -2至71%和31%; 95%CI 9至57%)。本研究旨在确定实施策略对医师依从性的影响。特别是在初级保健实践中不同卫生专业人员的合作可能会提高疗效,指南的实施似乎在三级预防心血管疾病方面更加困难。

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