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The short medication adherence scale (SMAS-7): Development and psychometric validation in a general population sample
Fouad Sakr1,2, Mariam Dabbous1,2,3, Jihan Safwan1,2,4,5
1School of Pharmacy, Lebanese International University, Beirut, Lebanon.
Exploratory Research in Clinical and Social Pharmacy
|November 17, 2025
Summary
The Short Medication Adherence Scale (SMAS-7) is a new, validated tool for measuring medication adherence. This study found suboptimal adherence in over half of Lebanese adults, highlighting the need for targeted interventions.
Area of Science:
- Psychometrics
- Health Services Research
- Behavioral Science
Background:
- Medication adherence is critical for effective treatment outcomes in various health conditions.
- Validated tools for measuring medication adherence are limited in scope and application.
- The need for a concise, multidimensional adherence measure is significant.
Purpose of the Study:
- To develop and validate the Short Medication Adherence Scale (SMAS-7).
- To assess medication adherence levels and identify associated factors in the Lebanese adult population.
Main Methods:
- A cross-sectional study involving 501 Lebanese adults aged 18 years and above.
- Development of the 7-item SMAS-7 from the LMAS-14, administered electronically.
- Psychometric evaluation including exploratory/confirmatory factor analyses, reliability (Cronbach's α, McDonald's ω, ICC), and validity (construct, criterion).
Main Results:
- The SMAS-7 exhibited a robust 3-factor structure (psychological, economic, behavioral) with excellent model fit.
- High internal consistency (α=0.889, ω=0.945) and test-retest reliability (ICC=0.779) were demonstrated.
- Suboptimal adherence was prevalent (52.3%), with gender, region, financial well-being, chronic illness, communication barriers, and patient perception identified as significant predictors.
Conclusions:
- The SMAS-7 shows strong preliminary psychometric properties for measuring medication adherence.
- The scale is a valuable tool for monitoring adherence and informing interventions.
- Further validation in diverse populations is recommended to confirm generalizability.

