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Self-report measures of medication adherence behavior: recommendations on optimal use
Michael J Stirratt1, Jacqueline Dunbar-Jacob2, Heidi M Crane3
1NIH/National Institute of Mental Health Division of AIDS Research, Bethesda, MD USA.
Self-report medication adherence measures are common but often overestimate adherence. Despite limitations, they offer valuable, low-cost insights for chronic illness management when validated scales and improved methods are used.
Area of Science:
- Health Services Research
- Clinical Pharmacy
- Patient Adherence
Background:
- Medication adherence is crucial for managing chronic illnesses effectively.
- Self-report is the most prevalent method for assessing adherence in research and clinical settings.
- Concerns exist regarding the validity and precision of self-report adherence measures.
Purpose of the Study:
- To review self-report medication adherence measures and their validity.
- To identify factors influencing the quality and utility of self-report adherence data.
- To provide recommendations for enhancing the use of self-report adherence measures.
Main Methods:
- A panel of adherence research experts across various chronic illnesses was convened.
- Review of existing literature on self-report medication adherence measures and their validity.
- Analysis of variations in question phrasing, recall periods, and response items in self-report measures.
Main Results:
- Self-report measures tend to overestimate adherence compared to other methods.
- These measures generally exhibit high specificity but low sensitivity.
- Evidence suggests moderate correspondence with other adherence measures and predictive value for clinical outcomes.
Conclusions:
- Self-report medication adherence measures provide actionable information despite inherent limitations.
- Enhancements can be achieved through validated scales, improved estimation, recall facilitation, bias reduction, and technological delivery.
- Self-report measures remain valuable for situations requiring speed, efficiency, and low-cost assessment in clinical care.
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