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The development of the ProMAS: a Probabilistic Medication Adherence Scale
Mieke Kleppe1, Joyca Lacroix2, Jaap Ham3
1Human Technology Interaction, Eindhoven University of Technology, Eindhoven, the Netherlands ; Behavior, Cognition and Perception, Philips Research, Eindhoven, the Netherlands.
Patient Preference and Adherence
|March 19, 2015
Summary
This study introduces the Patient Medication Adherence Scale (ProMAS), a new self-report tool. ProMAS offers a wider range of adherence behaviors, reducing skewness and improving accuracy in measuring medication adherence.
Area of Science:
- Health outcomes research
- Psychometrics
- Geriatric medicine
Background:
- Current self-report medication adherence measures often yield skewed data with limited variance, contradicting objective findings.
- A key limitation is the restricted range of behaviors assessed, leading to a ceiling effect in self-reported adherence.
Purpose of the Study:
- To introduce and validate a new self-reported medication adherence scale, the Patient Medication Adherence Scale (ProMAS).
- To address the limitations of existing measures by covering a broader spectrum of adherence behaviors using the Rasch model.
Main Methods:
- Development of the ProMAS using the Rasch model approach.
- Validation of the ProMAS with 370 elderly individuals undergoing medication for chronic conditions.
Main Results:
- The ProMAS demonstrated sufficient fit to the Rasch model, providing reliable adherence scores.
- ProMAS covered a wider range of adherence behaviors than the Medication Adherence Report Scale (MARS).
- ProMAS resulted in less skewness and greater variance in adherence scores compared to MARS.
Conclusions:
- The ProMAS is a more effective tool for measuring medication adherence in elderly populations with chronic conditions.
- ProMAS offers improved discrimination between individuals with varying adherence rates compared to the MARS.
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