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Kwan YH, Weng SD, Loh DHF, Phang JK, Oo LJY, Blalock DV, Chew EH, Yap KZ, Tan CYK, Yoon S, Fong W, Østbye T, Low LL, Bosworth HB, Thumboo J. Measurement Properties of Existing Patient-Reported Outcome Measures on Medication Adherence: Systematic Review. J Med Internet Res 2020; 22:e19179. [PMID: 33034566 PMCID: PMC7584986 DOI: 10.2196/19179] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2020] [Revised: 07/05/2020] [Accepted: 08/08/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Medication adherence is essential for improving the health outcomes of patients. Various patient-reported outcome measures (PROMs) have been developed to measure medication adherence in patients. However, no study has summarized the psychometric properties of these PROMs to guide selection for use in clinical practice or research. OBJECTIVE This study aims to evaluate the quality of the PROMs used to measure medication adherence. METHODS This study was guided by the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) guidelines. Relevant articles were retrieved from the EMBASE, PubMed, Cochrane Library, Web of Science, and CINAHL (Cumulative Index to Nursing and Allied Health Literature) databases. The PROMs were then evaluated based on the COnsensus-based Standards for the selection of health Measurement Instruments (COSMIN) guidelines. RESULTS A total of 121 unique medication adherence PROMs from 214 studies were identified. Hypotheses testing for construct validity and internal consistency were the most frequently assessed measurement properties. PROMs with at least a moderate level of evidence for ≥5 measurement properties include the Adherence Starts with Knowledge 20, Compliance Questionnaire-Rheumatology, General Medication Adherence Scale, Hill-Bone Scale, Immunosuppressant Therapy Barrier Scale, Medication Adherence Reasons Scale (MAR-Scale) revised, 5-item Medication Adherence Rating Scale (MARS-5), 9-item MARS (MARS-9), 4-item Morisky Medication Adherence Scale (MMAS-4), 8-item MMAS (MMAS-8), Self-efficacy for Appropriate Medication Adherence Scale, Satisfaction with Iron Chelation Therapy, Test of Adherence to Inhalers, and questionnaire by Voils. The MAR-Scale revised, MMAS-4, and MMAS-8 have been administered electronically. CONCLUSIONS This study identified 121 PROMs for medication adherence and provided synthesized evidence for the measurement properties of these PROMs. The findings from this study may assist clinicians and researchers in selecting suitable PROMs to assess medication adherence.
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Affiliation(s)
- Yu Heng Kwan
- Program in Health Services and Systems Research,, Duke-NUS Medical School, Singapore, Singapore
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Si Dun Weng
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Dionne Hui Fang Loh
- PULSES Centre Grant, SingHealth Regional Health System, Singapore, Singapore
| | - Jie Kie Phang
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore
| | - Livia Jia Yi Oo
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Dan V Blalock
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Health Care System, Durham, NC, United States
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
| | - Eng Hui Chew
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Kai Zhen Yap
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Corrinne Yong Koon Tan
- Pharmacy Transformation Office, National Healthcare Group Pharmacy, Singapore, Singapore
| | - Sungwon Yoon
- Program in Health Services and Systems Research,, Duke-NUS Medical School, Singapore, Singapore
- PULSES Centre Grant, SingHealth Regional Health System, Singapore, Singapore
| | - Warren Fong
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Truls Østbye
- Program in Health Services and Systems Research,, Duke-NUS Medical School, Singapore, Singapore
| | - Lian Leng Low
- PULSES Centre Grant, SingHealth Regional Health System, Singapore, Singapore
- Department of Family Medicine and Continuing Care, Singapore General Hospital, Singapore, Singapore
- Post Acute and Continuing Care, Outram Community Hospital, Singapore, Singapore
| | - Hayden Barry Bosworth
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Health Care System, Durham, NC, United States
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
- Department of Population Health Sciences, Duke University Medical Center, Durham, NC, United States
- School of Nursing, Duke University Medical Center, Durham, NC, United States
| | - Julian Thumboo
- Program in Health Services and Systems Research,, Duke-NUS Medical School, Singapore, Singapore
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore
- NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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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:e19089. [PMID: 33030441 PMCID: PMC7582150 DOI: 10.2196/19089] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 06/12/2020] [Accepted: 06/14/2020] [Indexed: 02/06/2023] Open
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 We aim 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 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. Results 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). 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.
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Affiliation(s)
- Yu Heng Kwan
- Program in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.,Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Livia Jia Yi Oo
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Dionne Hui Fang Loh
- PULSES Centre Grant, SingHealth Regional Health System, Singapore, Singapore
| | - Jie Kie Phang
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore
| | - Si Dun Weng
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Dan V Blalock
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Health Care System, Durham, NC, United States.,Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
| | - Eng Hui Chew
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Kai Zhen Yap
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
| | - Corrinne Yong Koon Tan
- Pharmacy Transformation Office, National Healthcare Group Pharmacy, Singapore, Singapore
| | - Sungwon Yoon
- Program in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.,PULSES Centre Grant, SingHealth Regional Health System, Singapore, Singapore
| | - Warren Fong
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore.,NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Truls Østbye
- Program in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore
| | - Lian Leng Low
- PULSES Centre Grant, SingHealth Regional Health System, Singapore, Singapore.,Department of Family Medicine and Continuing Care, Singapore General Hospital, Singapore, Singapore.,Post Acute and Continuing Care, Outram Community Hospital, Singapore, Singapore
| | - Hayden Barry Bosworth
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Health Care System, Durham, NC, United States.,Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States.,School of Nursing, Duke University Medical Center, Durham, NC, United States.,Department of Population Health Sciences, Duke University Medical Center, Durham, NC, United States
| | - Julian Thumboo
- Program in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.,Department of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore.,NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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Adherence to Polyethylene Glycol Treatment in Children with Functional Constipation Is Associated with Parental Illness Perceptions, Satisfaction with Treatment, and Perceived Treatment Convenience. J Pediatr 2018; 199:132-139.e1. [PMID: 29754864 DOI: 10.1016/j.jpeds.2018.03.066] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2017] [Revised: 02/28/2018] [Accepted: 03/27/2018] [Indexed: 12/22/2022]
Abstract
OBJECTIVES To assess treatment adherence in children with functional constipation and to evaluate the association with parental beliefs about medication, illness perceptions, treatment satisfaction, and satisfaction with information about medication. STUDY DESIGN A cross-sectional survey was administered among parents of children with functional constipation treated with polyethylene glycol. Adherence was measured via the Medication Adherence Report Scale (MARS-5, score 5-25), with greater scores indicating better adherence (scores ≥23 were defined as adherent). Beliefs about medication, illness perceptions, satisfaction with treatment, and satisfaction with information about treatment were measured with the Beliefs about Medication Questionnaire, the Brief Illness Perception Questionnaire, the Treatment Satisfaction Questionnaire for Medication (TSQM), and the Satisfaction with Information about Medication Questionnaire. Associations between the questionnaire scores and adherence (MARS-5 score as a continuous variable) were analyzed with regression analyses. RESULTS In total, 43 of 115 included children (37%) were adherent (MARS-5 ≥23). Spearman rank correlation test revealed a statistically significant correlation between TSQM-convenience, TSQM-satisfaction, Brief Illness Perception Questionnaire question 8 (emotions), and the MARS-5 score (rs 0.342, P = .000; rs 0.258, P = .006; rs -0.192, P = .044), which suggests that parental perceived treatment convenience, satisfaction with treatment, and illness perceptions may affect adherence in children with functional constipation. In the hierarchical multivariate regression model, 22% of the variability of the MARS-5 score could be explained by the selected predictors. The TSQM-convenience score contributed the most to the model (β: 0.384, P = .000). CONCLUSIONS Parents reported low adherence rates in their children with functional constipation. Treatment inconvenience, dissatisfaction with treatment, and the emotional impact of functional constipation may negatively influence treatment adherence.
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