AARDEX Group Ltd., a MWV Healthcare Company, Sion, Switzerland.
Drugs. 2013 May;73(6):545-62. doi: 10.1007/s40265-013-0041-3.
Non-adherence to medications is prevalent across all medical conditions that include ambulatory pharmacotherapy and is thus a major barrier to achieving the benefits of otherwise effective medicines.
The objective of this systematic review was to identify and to compare the efficacy of strategies and components thereof that improve implementation of the prescribed drug dosing regimen and maintain long-term persistence, based on quantitative evaluation of effect sizes across the aggregated trials.
MEDLINE, EMBASE, CINAHL, the Cochrane Library, and PsycINFO were systematically searched for randomized controlled trials that tested the efficacy of adherence-enhancing strategies with self-administered medications. The searches were limited to papers in the English language and were included from database inception to 31 December 2011.
Our review included randomized controlled trials in which adherence was assessed by electronically compiled drug dosing histories. Five thousand four hundred studies were screened. Eligibility assessment was performed independently by two reviewers. A structured data collection sheet was developed to extract data from each study.
The adherence-enhancing components were classified in eight categories. Quality of the papers was assessed using the criteria of the Cochrane Handbook for Systematic Reviews of Interventions guidelines to assess potential bias. A combined adherence outcome was derived from the different adherence variables available in the studies by extracting from each paper the available adherence summary variables in a pre-defined order (correct dosing, taking adherence, timing adherence, percentage of adherent patients). To study the association between the adherence-enhancing components and their effect on adherence, a linear meta-regression model, based on mean adherence point estimates, and a meta-analysis were conducted.
Seventy-nine clinical trials published between 1995 and December 2011 were included in the review. Patients randomized to an intervention group had an average combined adherence outcome of 74.3 %, which was 14.1 % higher than in patients randomized to the control group (60.2 %). The linear meta-regression analysis with stepwise variable selection estimated an 8.8 % increase in adherence when the intervention included feedback to the patients of their recent dosing history (EM-feedback) (p < 0.01) and a 5.0 % increase in adherence when the intervention included a cognitive-educational component (p = 0.02). In addition, the effect of interventions on adherence decreased by 1.1 % each month. Sensitivity analysis by selecting only high-quality papers confirmed the robustness of the model. The random effects model in the meta-analysis, conducted on 48 studies, confirmed the above findings and showed that the improvement in adherence was 19.8 % (95 % CI 10.7-28.9 %) among patients receiving EM-feedback, almost double the improvement in adherence for studies that did not include this type of feedback [10.3 % (95 % CI 7.5-13.1 %)] (p < 0.01). The improvement in adherence was 16.1 % (95 % CI 10.7-21.6 %) in studies that tested cognitive-educational components versus 10.1 % (95 % CI 6.6-13.6 %) in studies that did not include this type of intervention (p = 0.04). Among 57 studies measuring clinical outcomes, only 8 reported a significant improvement in clinical outcome.
Despite a common measurement, the meta-analysis was limited by the heterogeneity of the pooled data and the different measures of medication adherence. The funnel plot showed a possible publication bias in studies with high variability of the intervention effect.
Notwithstanding the statistical heterogeneity among the studies identified, and potential publication bias, the evidence from our meta-analysis suggests that EM-feedback and cognitive-educational interventions are potentially effective approaches to enhance patient adherence to medications. The limitations of this research highlight the urgent need to define guidelines and study characteristics for research protocols that can guide researchers in designing studies to assess the effects of adherence-enhancing interventions.
非依从性在包括门诊药物治疗在内的所有医疗条件下都很普遍,因此是实现有效药物治疗效果的主要障碍。
本系统评价的目的是确定并比较改善药物剂量方案实施和维持长期坚持的策略和组成部分的疗效,基于对汇总试验的效果大小进行定量评估。
系统检索 MEDLINE、EMBASE、CINAHL、Cochrane 图书馆和 PsycINFO,以寻找自我管理药物的依从性增强策略的随机对照试验。搜索仅限于英语语言的论文,并包括从数据库开始到 2011 年 12 月 31 日的论文。
我们的综述包括通过电子编制药物剂量记录来评估依从性的随机对照试验。筛选了 5400 项研究。由两名评审员独立进行资格评估。开发了一个结构化的数据采集表,从每项研究中提取数据。
将依从性增强成分分为八个类别。使用 Cochrane 干预系统评价手册的标准评估论文的质量,以评估潜在的偏差。通过从每个论文中按照预定义的顺序提取可用的依从性汇总变量,从不同的依从性变量中得出一个综合的依从性结果。为了研究依从性增强成分与它们对依从性的影响之间的关联,基于平均依从性点估计进行线性荟萃回归模型和荟萃分析。
共纳入了 1995 年至 2011 年 12 月期间发表的 79 项临床试验。与对照组相比,随机分配到干预组的患者的平均综合依从性结果为 74.3%,高出 14.1%(60.2%)。通过逐步变量选择的线性荟萃回归分析估计,当干预包括对患者最近用药史的反馈(EM-反馈)时,依从性增加 8.8%(p<0.01),当干预包括认知教育成分时,依从性增加 5.0%(p=0.02)。此外,干预对依从性的影响每月减少 1.1%。通过仅选择高质量论文进行敏感性分析,证实了该模型的稳健性。荟萃分析中的随机效应模型,对 48 项研究进行了分析,证实了上述发现,并表明接受 EM-反馈的患者的依从性改善了 19.8%(95%CI 10.7-28.9%),几乎是未接受这种反馈的研究中依从性改善的两倍[10.3%(95%CI 7.5-13.1%)](p<0.01)。在测试认知教育成分的研究中,依从性的改善为 16.1%(95%CI 10.7-21.6%),而在未包括这种干预类型的研究中,依从性的改善为 10.1%(95%CI 6.6-13.6%)(p=0.04)。在 57 项测量临床结果的研究中,只有 8 项报告了临床结果的显著改善。
尽管有一个共同的衡量标准,但荟萃分析受到汇总数据的异质性和不同药物依从性衡量标准的限制。漏斗图显示,在干预效果变化较大的研究中可能存在发表偏倚。
尽管研究之间存在统计学异质性和潜在的发表偏倚,但我们的荟萃分析结果表明,EM-反馈和认知教育干预可能是增强患者药物依从性的有效方法。这项研究的局限性突出表明,迫切需要定义研究方案的指南和研究特征,以指导研究人员设计评估依从性增强干预效果的研究。