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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Apr 7, 2020
Date Accepted: Jun 14, 2020

The final, peer-reviewed published version of this preprint can be found here:

Development of an Item Bank to Measure Medication Adherence: Systematic Review

Kwan YH, Oo LJY, Loh DHF, Phang JK, Weng SD, Blalock DV, Chew EH, Yap KZ, Tan CYK, Yoon S, Fong W, Østbye T, Low LL, Bosworth HB, Thumboo J

Development of an Item Bank to Measure Medication Adherence: Systematic Review

J Med Internet Res 2020;22(10):e19089

DOI: 10.2196/19089

PMID: 33030441

PMCID: 7582150

Development of an Item Bank to Measure the Extent of and Reasons for Medication Adherence

  • Yu Heng Kwan; 
  • Livia Jia Yi Oo; 
  • Dionne Hui Fang Loh; 
  • Jie Kie Phang; 
  • Si Dun Weng; 
  • Dan V Blalock; 
  • Eng Hui Chew; 
  • Kai Zhen Yap; 
  • Corrinne Yong Koon Tan; 
  • Sungwon Yoon; 
  • Warren Fong; 
  • Truls Østbye; 
  • Lian Leng Low; 
  • Hayden Barry Bosworth; 
  • Julian Thumboo

ABSTRACT

Background:

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.

Objective:

To develop an item bank to measure general medication adherence.

Methods:

Using the preferred reporting items for systematic review and meta-analysis (PRISMA), articles published until October 2019 were retrieved from PubMed®, Embase®, CINAHL®, the Cochrane® Library, and Web of Science®. Items from existing PROMs were “binned” and “winnowed” according to standards published by the Patient Reported Outcomes Measurement Information System (PROMIS) Cooperative Group.

Results:

A total of 126 unique PROMs were identified from 213 studies in 48countries. 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).

Conclusions:

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.


 Citation

Please cite as:

Kwan YH, Oo LJY, Loh DHF, Phang JK, Weng SD, Blalock DV, Chew EH, Yap KZ, Tan CYK, Yoon S, Fong W, Østbye T, Low LL, Bosworth HB, Thumboo J

Development of an Item Bank to Measure Medication Adherence: Systematic Review

J Med Internet Res 2020;22(10):e19089

DOI: 10.2196/19089

PMID: 33030441

PMCID: 7582150

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