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Journal of Aging Research
Volume 2015 (2015), Article ID 682503, 6 pages
Research Article

Self-Assessment of Adherence to Medication: A Case Study in Campania Region Community-Dwelling Population

1Center of Pharmacoeconomics (CIRFF), Federico II University, 80131 Naples, Italy
2Research and Development Board, Federico II University Hospital, 80131 Naples, Italy
3Translational Medical Sciences (DISMET), Federico II University, 80131 Naples, Italy
4IRCCS SDN, 80131 Naples, Italy
5Department of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA 90095-1772, USA
6Department of Clinical Medicine and Surgery, Federico II University, 80131 Naples, Italy

Received 12 December 2014; Revised 17 March 2015; Accepted 17 March 2015

Academic Editor: F. R. Ferraro

Copyright © 2015 Enrica Menditto et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Objectives. The aim of the study was to assess self-reported medication adherence measure in patients selected during a health education and health promotion focused event held in the Campania region. The study also assessed sociodemographic determinants of adherence. Methods. An interviewer assisted survey was conducted to assess adherence using the Italian version of the 8-item Morisky Medication Adherence Scale (MMAS-8). Participants older than 18 years were interviewed by pharmacists while waiting for free-medical checkup. Results. A total of 312 participants were interviewed during the Health Campus event. A total of 187 (59.9%) had low adherence to medications. Pearson’s bivariate correlation showed positive association between the MMAS-8 score and gender, educational level and smoking (). A multivariable analysis showed that the level of education and smoking were independent predictors of adherence. Individuals with an average level of education (odds ratio (OR), 2.21, 95% confidence interval (CI), 1.08–4.52) and nonsmoker (odds ratio (OR) 1.87, 95% confidence interval (CI), 1.04–3.35) were found to be more adherent to medication than those with a lower level of education and smoking. Conclusion. The analysis showed very low prescription adherence levels in the interviewed population. The level of education was a relevant predictor associated with that result.