Cesar I Fernandez-Lazaro1, David P Adams2, Diego Fernandez-Lazaro3, Juan M Garcia-González4, Alberto Caballero-Garcia5, Jose A Miron-Canelo6. 1. Department of Biomedical and Diagnostic Sciences, School of Medicine, University of Salamanca, C/ Alfonso X El Sabio s/n., 37007, Salamanca, Spain; Department of Health Sciences, Armstrong State University, 11935 Abercorn St, Savannah, GA, 31419, USA. Electronic address: fernandezlazaro@usal.es. 2. Department of General Studies, Point University-Savannah Campus, 55 Al Henderson Blvd, Savannah, GA, 31419, USA. 3. Department of Biochemistry and Physiology, School of Physical Therapy, University of Valladolid, Campus Duques de Soria, 42003, Soria, Spain. Electronic address: diego.fernandez.lazaro@uva.es. 4. Department of Sociology, Pablo de Olavide University, Ctra. de Utrera, 1, 41013, Sevilla, Spain. Electronic address: jmgargon@upo.es. 5. Department of Anatomy, School of Physiotherapy, University of Valladolid, Campus Duques de Soria, 42004, Soria, Spain. Electronic address: director@iecscyl.com. 6. Department of Biomedical and Diagnostic Sciences, School of Medicine, University of Salamanca, C/ Alfonso X El Sabio s/n., 37007, Salamanca, Spain. Electronic address: miroxx@usal.es.
Abstract
BACKGROUND: Poor adherence to long-term therapies is a public health concern that affects all populations. Little is known about the context of adherence in chronic diseases for the uninsured population in the United States. OBJECTIVE: To evaluate medication adherence and barriers among low-income, uninsured adults recently initiating new therapy for a chronic disease. METHODS: A cross-sectional study in two Community Health Centers located in Chatham County, Georgia, was performed between September and December 2015. Patients, randomly selected for inclusion in the study, were eligible if they had been prescribed medication for 2 or more chronic conditions and had recently started a new medication regimen. The Morisky-Green-Levine questionnaire was used to assess adherence. Potential barriers were analyzed using the Multidimensional Model proposed by the World Health Organization-social and economic, healthcare team and system-related, condition-related, therapy-related, and patient-related factors. Multivariate logistic regression models were used to analyze factors associated with non-adherence. RESULTS: A total of 150 participants were interviewed at 6 months after treatment initiation. Non-adherence was reported by 52% of the participants. Higher adjusted odds of non-adherence were observed in participants who did not receive information about their medications (adjusted odds ratio [AOR] = 2.40, 95% confidence interval [CI] = 1.01-5.74), did not regularly visit a primary health-care provider (AOR = 2.74, 95% CI = 1.09-6.88), and had changes in their treatment (AOR = 3.75, 95% CI = 1.62-8.70). Alternatively, adjusted odds of non-adherence were lower for patients who reported using pillboxes (AOR = 0.31, 95% CI = 0.10-0.95), having help from a caregiver (AOR = 0.15, 95% CI = 0.04-0.60), and integrating medication dosing into daily routines (AOR = 0.18, 95% CI = 0.06-0.59). CONCLUSIONS: Medication non-adherence was common among low-income, uninsured patients initiating therapy for chronic conditions. Several modifiable barriers highlight opportunities to address medication non-adherence through multidisciplinary interventions.
BACKGROUND: Poor adherence to long-term therapies is a public health concern that affects all populations. Little is known about the context of adherence in chronic diseases for the uninsured population in the United States. OBJECTIVE: To evaluate medication adherence and barriers among low-income, uninsured adults recently initiating new therapy for a chronic disease. METHODS: A cross-sectional study in two Community Health Centers located in Chatham County, Georgia, was performed between September and December 2015. Patients, randomly selected for inclusion in the study, were eligible if they had been prescribed medication for 2 or more chronic conditions and had recently started a new medication regimen. The Morisky-Green-Levine questionnaire was used to assess adherence. Potential barriers were analyzed using the Multidimensional Model proposed by the World Health Organization-social and economic, healthcare team and system-related, condition-related, therapy-related, and patient-related factors. Multivariate logistic regression models were used to analyze factors associated with non-adherence. RESULTS: A total of 150 participants were interviewed at 6 months after treatment initiation. Non-adherence was reported by 52% of the participants. Higher adjusted odds of non-adherence were observed in participants who did not receive information about their medications (adjusted odds ratio [AOR] = 2.40, 95% confidence interval [CI] = 1.01-5.74), did not regularly visit a primary health-care provider (AOR = 2.74, 95% CI = 1.09-6.88), and had changes in their treatment (AOR = 3.75, 95% CI = 1.62-8.70). Alternatively, adjusted odds of non-adherence were lower for patients who reported using pillboxes (AOR = 0.31, 95% CI = 0.10-0.95), having help from a caregiver (AOR = 0.15, 95% CI = 0.04-0.60), and integrating medication dosing into daily routines (AOR = 0.18, 95% CI = 0.06-0.59). CONCLUSIONS: Medication non-adherence was common among low-income, uninsured patients initiating therapy for chronic conditions. Several modifiable barriers highlight opportunities to address medication non-adherence through multidisciplinary interventions.
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