Robert J Mentz1, Melissa A Greiner2, Paul Muntner3, Daichi Shimbo4, Mario Sims5, Tanya M Spruill6, Benjamin F Banahan7, Wei Wang5, Stanford Mwasongwe8, Karen Winters5, Adolfo Correa5, Lesley H Curtis9, Emily C O'Brien9. 1. Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina; Department of Medicine, Duke University School of Medicine, Durham, North Carolina. Electronic address: robert.mentz@duke.edu. 2. Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina. 3. Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, AL. 4. Department of Medicine, Columbia University Medical Center, NY, New York. 5. Department of Medicine, University of Mississippi Medical Center, Jackson, MS. 6. Department of Population Health, NYU School of Medicine, New York, NY. 7. Center for Pharmaceutical Marketing and Management, University of Mississippi, Jackson, MS. 8. Field Center, Jackson Heart Study, Jackson State University, Jackson, MS. 9. Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina; Department of Medicine, Duke University School of Medicine, Durham, North Carolina.
Abstract
BACKGROUND: Non-adherence to medications is common and leads to suboptimal outcomes. Non-adherence can be intentional (e.g., deciding to skip dosages) or unintentional (e.g., forgetting), yet few studies have distinguished these reasons. An improved understanding of the reasons for non-adherence could inform the development of effective interventions. METHODS AND RESULTS: We analyzed data from African Americans in the Jackson Heart Study who were prescribed medications for one or more chronic conditions. Participants were grouped by patient-reported adherence with non-adherence categorized as being intentional, unintentional or both. We used modified Poisson regression models to examine the factors associated with types of non-adherence. Of 2933 participants taking medication, 2138 (72.9%) reported non-adherence with 754 (35.3%) reporting only unintentional non-adherence, 263 (12.3%) only intentional non-adherence, and 1121 (52.4%) both. Factors independently associated with intentional non-adherence included female sex and depressive symptoms while factors associated with unintentional non-adherence included younger age and separated relationship status. Unintentional and intentional non-adherence was more common among participants taking anti-arrhythmic and anti-asthmatic medications, respectively. Higher levels of global perceived stress was associated with both types of non-adherence. The adjusted models for intentional and unintentional non-adherence had c-statistics of 0.65 and 0.66, respectively, indicating modest discrimination. CONCLUSION: Specific patient factors and individual medication classes were associated with distinct patterns of intentional and unintentional non-adherence, yet the overall modest discrimination of the models suggests contributions from other unmeasured factors. These findings provide a construct for understanding reasons for non-adherence and provide rationale to assess whether personalized interventions can improve adherence.
BACKGROUND: Non-adherence to medications is common and leads to suboptimal outcomes. Non-adherence can be intentional (e.g., deciding to skip dosages) or unintentional (e.g., forgetting), yet few studies have distinguished these reasons. An improved understanding of the reasons for non-adherence could inform the development of effective interventions. METHODS AND RESULTS: We analyzed data from African Americans in the Jackson Heart Study who were prescribed medications for one or more chronic conditions. Participants were grouped by patient-reported adherence with non-adherence categorized as being intentional, unintentional or both. We used modified Poisson regression models to examine the factors associated with types of non-adherence. Of 2933 participants taking medication, 2138 (72.9%) reported non-adherence with 754 (35.3%) reporting only unintentional non-adherence, 263 (12.3%) only intentional non-adherence, and 1121 (52.4%) both. Factors independently associated with intentional non-adherence included female sex and depressive symptoms while factors associated with unintentional non-adherence included younger age and separated relationship status. Unintentional and intentional non-adherence was more common among participants taking anti-arrhythmic and anti-asthmatic medications, respectively. Higher levels of global perceived stress was associated with both types of non-adherence. The adjusted models for intentional and unintentional non-adherence had c-statistics of 0.65 and 0.66, respectively, indicating modest discrimination. CONCLUSION: Specific patient factors and individual medication classes were associated with distinct patterns of intentional and unintentional non-adherence, yet the overall modest discrimination of the models suggests contributions from other unmeasured factors. These findings provide a construct for understanding reasons for non-adherence and provide rationale to assess whether personalized interventions can improve adherence.
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