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Meta-analyses of Theory Use in Medication Adherence Intervention Research

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Objective: This systematic review applied meta-analytic procedures to integrate primary research that examined theory- or model-linked medication adherence interventions. Methods: Extensive literature searching strategies were used to locate trials testing interventions with medication adherence behavior outcomes measured by electronic event monitoring, pharmacy refills, pill counts, and self-reports. Random-effects model analysis was used to calculate standardized mean difference effect sizes for medication adherence outcomes. Results: Codable data were extracted from 146 comparisons with 19,348 participants. The most common theories and models were social cognitive theory and motivational interviewing. The overall weighted effect size for all interventions comparing treatment and control participants was 0.294. The effect size for interventions based on single-theories was 0.323 and for multiple-theory interventions was 0.214. Effect sizes for individual theories and models ranged from 0.041 to 0.447. The largest effect sizes were for interventions based on the health belief model (0.477) and adult learning theory (0.443). The smallest effect sizes were for interventions based on PRECEDE (0.041) and self-regulation (0.118). Conclusion: These findings suggest that theory- and model-linked interventions have a significant but modest effect on medication adherence outcomes.

Keywords: MEDICATION ADHERENCE; META-ANALYSIS; THEORY

Document Type: Research Article

Affiliations: 1: Professor, University of Missouri School of Nursing, Columbia, MO;, Email: [email protected] 2: Associate Professor, University of Missouri School of Nursing, Columbia, MO 3: Assistant Professor, University of Missouri School of Nursing, Columbia, MO 4: Senior Research Specialist, University of Missouri School of Nursing, Columbia, MO

Publication date: 01 March 2016

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  • The American Journal of Health Behavior seeks to improve the quality of life through multidisciplinary health efforts in fostering a better understanding of the multidimensional nature of both individuals and social systems as they relate to health behaviors.

    The Journal aims to provide a comprehensive understanding of the impact of personal attributes, personality characteristics, behavior patterns, social structure, and processes on health maintenance, health restoration, and health improvement; to disseminate knowledge of holistic, multidisciplinary approaches to designing and implementing effective health programs; and to showcase health behavior analysis skills that have been proven to affect health improvement and recovery.

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