Meta-Analysis of Interventions to Improve Medication Adherence

描述（由申请人提供）：改善药物依从性干预措施的荟萃分析药物依从性不足（MA）会增加发病率、死亡率、患者和提供者的挫败感以及医疗保健成本。令人担忧的持续不依从在不同的样本中一致记录。关于干预措施有效性的科学证据对于制定改善健康结果和降低成本的综合管理干预措施至关重要。研究测试了许多MA干预措施，结果有时相互矛盾，往往不明确。这些初步研究还没有得到定量的综合，严重阻碍了实践和研究的进展。该项目的目的是整合旨在提高MA的干预措施的科学知识。该项目解决了以下具体目标：“确定干预措施的研究基础强度，以增加MA。”具体说明和量化干预措施对MA的影响。”区分可调节干预措施增加MA效果的因素（例如，干预特征，如剂量减少或包装，参与者属性，如诊断或种族）。该研究小组已经在几个综合中使用了所提出的方法，包括最近在老年人随机试验中测试的MA干预措施的初步荟萃分析。广泛而严格的文献检索将避免典型的有限检索可能引起的偏见。策略包括通过计算机和手工期刊搜索，祖先列表和注册数据库搜索，研究生项目回顾，会议/协会摘要检查，以及与检索研究的资深作者和nih资助研究的主要研究者联系。独立的数据提取器将可靠地为干预、方法和参与者属性编码。分析计划包括：d-index，用于标准化效应的大小，样本量加权计算，随机效应模型，同质性(Q)评估，发表偏倚分析（I2），以及便于解释-通用语言效应大小和转换为原始度量。使用回归和方差分析的元分析类似物的调节分析将揭示哪些干预特征（例如，MA反馈，提示）与MA的较大增加相关。少数民族和性别在干预效果方面的差异也将被审查。临时多变量调节因子分析使用元回归与选定的调节因子子集将进行。项目的主要影响将从调节分析中得出，该分析将确定哪些干预特征与最佳MA结果相关联。研究结果将通过综合各种结果来改善公共卫生，以帮助设计干预措施，帮助人们提高其MA并实现治疗目标。研究结果将通过确定尚未解决的研究问题以及科学已经解决的领域，对科学产生重大的直接影响。这项工作的重要性和广泛的范围使得实现这些重要目标需要资金。

DESCRIPTION (provided by applicant): Meta-Analysis of Interventions to Improve Medication Adherence Inadequate medication adherence (MA) contributes to increased morbidity, mortality, patient and provider frustration, and health care costs. Alarming persistent nonadherence is consistently documented in diverse samples. Scientific evidence about the efficacy of interventions is essential to develop MA interventions that improve health outcomes and reduce costs. Research testing many MA interventions has yielded results that are sometimes conflicting and often unclear. These primary studies have not been quantitatively synthesized, which seriously impedes progress in both practice and research. This project's purpose is to integrate scientific knowledge about interventions designed to increase MA. The project addresses these specific aims: " Determine the strength of the research base about interventions to increase MA. " Specify and quantify the effect of interventions on MA. " Distinguish factors (e.g., intervention characteristics such as dose reduction or packaging, participant attributes such as diagnoses or ethnicity) that moderate the effect of interventions to increase MA. This research team has used the proposed methods in several syntheses, including a recent preliminary meta- analysis of MA interventions tested in randomized trials with older adults. An extensive and rigorous literature search will avoid the bias that typical limited searches can cause. Strategies include searches by computer and journal searches by hand, searches of ancestry lists and registries databases, reviews of graduate projects, examinations of conference/association abstracts, and contacts with senior authors on retrieved studies and principal investigators of NIH-funded studies. Independent data extractors will reliably code for intervention, methodological, and participant attributes. Analysis plans include: d-index to standardize the magnitude of effect, sample size weighted calculations, random-effects models, homogeneity (Q) assessment, publication bias analysis (I2), and to facilitate interpretation - Common Language Effect Size and conversion to original metric. Moderator analyses using meta-analysis analogues of regression and ANOVA will reveal which intervention characteristics (e.g., MA feedback, prompts) are associated with larger increases in MA. Minority and gender differences in intervention effectiveness will be examined as well. Provisional multivariate moderator analyses using meta-regression with selected subsets of moderators will be conducted. The major impact of the project will be derived from the moderator analyses which will determine which intervention characteristics are linked with the best MA outcomes. Findings will improve public health by synthesizing diverse results in order to aid the design of interventions that help people increase their MA and achieve therapeutic goals. Study findings will have a major immediate impact on science by identifying unanswered research questions as well as areas in which the science has been settled. This work's compelling importance and broad scope make funding necessary to achieve these important aims. PUBLIC HEALTH RELEVANCE: This project will statistically summarize the effects of hundreds of previous studies testing interventions to improve medication adherence. The findings will clarify which interventions work best to improve medication adherence. The study will also determine if interventions work best for people with particular characteristics.