PDF(Pubmed)
Abstract：
The group-based trajectory modeling (GBTM) method is increasingly used in pharmacoepidemiologic studies to describe medication adherence trajectories over time. However, assessing the associations between these medication adherence trajectories and health-related outcomes remains challenging. The purpose of this review is to identify and systematically review the methods used to assess the association between medication adherence trajectories, estimated from the GBTM method, and health-related outcomes.
We will conduct a systematic review according to the recommendations of the Cochrane handbook for systematic reviews of interventions 6.2. Results will be reported following PRISMA 2020 (Preferred Reporting Items for Systematic Reviews and Meta-analyses) recommendations. We will search in the following databases: PubMed, Embase, PsycINFO, Web of Science, CINAHL, and Cochrane Library. Two reviewers will independently select articles and extract data. Discrepancies at every step will be resolved through discussion, and consensus will be reached for all disagreed articles. A third reviewer will act as a referee if needed. We will produce tables to synthesize the modalities used to estimate medication adherence trajectories with GBTM. We will also synthesize the modalities used to assess the association between these medication adherence trajectories and health-related outcomes by identifying the types of health-related outcomes studied and how they are defined, the statistical models used, and how the medication adherence trajectories were used in these models, and the effect measure yield. We will also review the limitations and biases reported by the authors and their attempts to mitigate them. We will provide a narrative synthesis.
This review will provide a thorough exploration of the strategies and methods used in medication adherence research to estimate the associations between medication adherence trajectories, estimated with GBTM, and the different health-related outcomes. It will represent the first crucial steps toward optimizing these methods in adherence studies.
Prospero CRD42021213503 .
We will conduct a systematic review according to the recommendations of the Cochrane handbook for systematic reviews of interventions 6.2. Results will be reported following PRISMA 2020 (Preferred Reporting Items for Systematic Reviews and Meta-analyses) recommendations. We will search in the following databases: PubMed, Embase, PsycINFO, Web of Science, CINAHL, and Cochrane Library. Two reviewers will independently select articles and extract data. Discrepancies at every step will be resolved through discussion, and consensus will be reached for all disagreed articles. A third reviewer will act as a referee if needed. We will produce tables to synthesize the modalities used to estimate medication adherence trajectories with GBTM. We will also synthesize the modalities used to assess the association between these medication adherence trajectories and health-related outcomes by identifying the types of health-related outcomes studied and how they are defined, the statistical models used, and how the medication adherence trajectories were used in these models, and the effect measure yield. We will also review the limitations and biases reported by the authors and their attempts to mitigate them. We will provide a narrative synthesis.
This review will provide a thorough exploration of the strategies and methods used in medication adherence research to estimate the associations between medication adherence trajectories, estimated with GBTM, and the different health-related outcomes. It will represent the first crucial steps toward optimizing these methods in adherence studies.
Prospero CRD42021213503 .
摘要：
基于组的轨迹建模（GBTM）方法越来越多地用于药物流行病学研究中，以描述随时间的药物依从性轨迹。然而,评估这些药物依从性轨迹与健康相关结局之间的关联仍然具有挑战性.本综述的目的是确定和系统地审查用于评估药物依从性轨迹之间的关联的方法，根据GBTM方法估计，和健康相关的结果。
我们将根据Cochrane手册对干预措施6.2进行系统评价的建议进行系统评价。将根据PRISMA2020（系统审查和荟萃分析的首选报告项目）建议报告结果。我们将在以下数据库中搜索：PubMed,Embase,PsycINFO,WebofScience,CINAHL,科克伦图书馆两名审阅者将独立选择文章并提取数据。每一步的差异将通过讨论解决，所有不同意的条款都将达成共识。如果需要，第三位审稿人将担任裁判。我们将制作表格来综合用于使用GBTM估计药物依从性轨迹的方式。我们还将通过识别所研究的与健康相关的结果的类型以及如何定义它们来综合用于评估这些药物依从性轨迹和与健康相关的结果之间的关联的模式。使用的统计模型，以及如何在这些模型中使用药物依从性轨迹，和效果衡量产量。我们还将回顾作者报告的局限性和偏见，以及他们试图减轻这些局限性和偏见。我们将提供一个叙事综合。
这篇综述将全面探索药物依从性研究中使用的策略和方法，以估计药物依从性轨迹之间的关联。用GBTM估计，以及与健康相关的不同结果。它将代表在依从性研究中优化这些方法的第一个关键步骤。
ProsperoCRD42021213503。
我们将根据Cochrane手册对干预措施6.2进行系统评价的建议进行系统评价。将根据PRISMA2020（系统审查和荟萃分析的首选报告项目）建议报告结果。我们将在以下数据库中搜索：PubMed,Embase,PsycINFO,WebofScience,CINAHL,科克伦图书馆两名审阅者将独立选择文章并提取数据。每一步的差异将通过讨论解决，所有不同意的条款都将达成共识。如果需要，第三位审稿人将担任裁判。我们将制作表格来综合用于使用GBTM估计药物依从性轨迹的方式。我们还将通过识别所研究的与健康相关的结果的类型以及如何定义它们来综合用于评估这些药物依从性轨迹和与健康相关的结果之间的关联的模式。使用的统计模型，以及如何在这些模型中使用药物依从性轨迹，和效果衡量产量。我们还将回顾作者报告的局限性和偏见，以及他们试图减轻这些局限性和偏见。我们将提供一个叙事综合。
这篇综述将全面探索药物依从性研究中使用的策略和方法，以估计药物依从性轨迹之间的关联。用GBTM估计，以及与健康相关的不同结果。它将代表在依从性研究中优化这些方法的第一个关键步骤。
ProsperoCRD42021213503。
