Development of an Item Bank to Measure Medication Adherence: Systematic Review (Preprint)
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2020-04-07
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Abstract
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.
OBJECTIVEWe aim to develop an item bank to measure general medication adherence.
METHODSUsing 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.
RESULTSA 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).
CONCLUSIONSWe 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.
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Kwan, Yu Heng, Livia Jia Yi Oo, Dionne Hui Fang Loh, Jie Kie Phang, Si Dun Weng, Dan V Blalock, Eng Hui Chew, Kai Zhen Yap, et al. (2020). Development of an Item Bank to Measure Medication Adherence: Systematic Review (Preprint). 10.2196/preprints.19089 Retrieved from https://hdl.handle.net/10161/34393.
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Daniel Blalock
I am a research scientist and Licensed Clinical Psychologist with a background in health services research, clinical psychology, and experimental psychology. My research interests include 1) the evaluation of current integrated behavioral health settings in health care systems to optimize future implementation efforts, 2) the development of novel integrated behavioral health strategies tailored to specific populations and healthcare system needs, 3) broad processes of behavior change and self-regulation, and 4) psychometric measurement of patient reported outcomes and research methods/statistics.
These interests have taken the form of specific research endeavors involving: a) large nonrandomized investigations of electronic health records data, b) development and evaluation of telehealth interventions to improve self-management of mental and physical health behaviors, and c) evaluation of patient-reported outcomes through telehealth modalities and in primary care, specialty care, and higher level of care settings.
To date, the content domains of most of my research have involved substance use (specifically alcohol, opioids, and tobacco), health behaviors (specifically medication adherence), mental health (specifically anxiety, depression, PTSD, and eating disorders), and health services utilization.
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