Program in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.
Department of Pharmacy, National University of Singapore, Singapore, Singapore.
J Med Internet Res. 2020 Oct 8;22(10):e19089. doi: 10.2196/19089.
Medication adherence is important in managing the progression of chronic diseases. A promising approach to reduce cognitive burden when measuring medication adherence lies in the use of computer-adaptive tests (CATs) or in the development of shorter patient-reported outcome measures (PROMs). However, the lack of an item bank currently hampers this progress.
We aim to develop an item bank to measure general medication adherence.
Using the preferred reporting items for systematic review and meta-analysis (PRISMA), articles published before October 2019 were retrieved from PubMed, Embase, CINAHL, the Cochrane Library, and Web of Science. Items from existing PROMs were classified and selected ("binned" and "winnowed") according to standards published by the Patient-Reported Outcomes Measurement Information System (PROMIS) Cooperative Group.
A total of 126 unique PROMs were identified from 213 studies in 48 countries. Items from the literature review (47 PROMs with 579 items for which permission has been obtained) underwent binning and winnowing. This resulted in 421 candidate items (77 extent of adherence and 344 reasons for adherence).
We developed an item bank for measuring general medication adherence using items from validated PROMs. This will allow researchers to create new PROMs from selected items and provide the foundation to develop CATs.
药物依从性对于控制慢性病的进展非常重要。减少测量药物依从性时认知负担的一种很有前途的方法是使用计算机自适应测试（CAT）或开发更简短的患者报告结局测量（PROM）。但是，目前缺乏项目库阻碍了这一进展。
我们旨在开发一个用于测量一般药物依从性的项目库。
使用系统评价和荟萃分析的首选报告项目（PRISMA），从 PubMed、Embase、CINAHL、Cochrane 图书馆和 Web of Science 检索了截至 2019 年 10 月之前发表的文章。根据患者报告结局测量信息系统（PROMIS）合作组发布的标准，对现有 PROM 中的项目进行分类和选择（“分类”和“筛选”）。
共从 48 个国家的 213 项研究中确定了 126 个独特的 PROM。文献综述中的项目（47 个 PROM，有 579 个已获得许可的项目）进行了分类和筛选。这产生了 421 个候选项目（77 个依从性程度和 344 个依从性原因）。
我们使用经过验证的 PROM 中的项目开发了一个用于测量一般药物依从性的项目库。这将允许研究人员从选定的项目中创建新的 PROM，并为开发 CAT 提供基础。
