Trajectories of Oral Anticoagulation Adherence Among Medicare Beneficiaries Newly Diagnosed With Atrial Fibrillation
Background Only 50% of atrial fibrillation ( AF ) patients recommended for oral anticoagulation ( OAC ) use these medications, and less than half of them adhere to OAC . In a cohort of Medicare beneficiaries newly diagnosed with AF , we identified groups of patients with similar trajectories of OAC...
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Published in | Journal of the American Heart Association Vol. 8; no. 12; p. e011427 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
England
John Wiley and Sons Inc
18.06.2019
Wiley |
Subjects | |
Online Access | Get full text |
ISSN | 2047-9980 2047-9980 |
DOI | 10.1161/JAHA.118.011427 |
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Abstract | Background Only 50% of atrial fibrillation ( AF ) patients recommended for oral anticoagulation ( OAC ) use these medications, and less than half of them adhere to OAC . In a cohort of Medicare beneficiaries newly diagnosed with AF , we identified groups of patients with similar trajectories of OAC use and adherence, and evaluated patient characteristics affecting group membership. Methods and Results We selected continuously enrolled Medicare Part D beneficiaries with first AF diagnosis in 2014 to 2015 (n=34 898). We calculated the proportion of days covered with OAC over the first 12 months after diagnosis and identified OAC adherence trajectories using group-based trajectory models. We constructed multinomial logistic regression models to evaluate how demographics, system-level factors, and clinical characteristics were associated with group membership. We identified 4 trajectories of OAC adherence: patients who never used OAC (43.8%), late OAC initiators (7.6%), early OAC discontinuers (8.9%), and continuously adherent patients (40.1%). Predictors such as sex, black race, residence in the South, or HAS - BLED score were associated with not only OAC use, but also the timing of initiation and the likelihood of discontinuation. For example, HAS - BLED score ≥4 was associated with a higher likelihood of not using OAC (odds ratio 1.35; 95% CI , 1.14-1.62), of late initiation (1.55; 95% CI , 1.11-2.05), and of early discontinuation (odds ratio 1.35; 95% CI , 1.01-1.84). Conclusions We identified 4 distinct trajectories of OAC adherence after first AF diagnosis, with <45% of newly diagnosed AF patients belonging to the trajectory group characterized by continuous OAC adherence. Trajectories were associated not only with demographic and clinical characteristics but also with regional factors. |
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AbstractList | Background Only 50% of atrial fibrillation ( AF ) patients recommended for oral anticoagulation ( OAC ) use these medications, and less than half of them adhere to OAC . In a cohort of Medicare beneficiaries newly diagnosed with AF , we identified groups of patients with similar trajectories of OAC use and adherence, and evaluated patient characteristics affecting group membership. Methods and Results We selected continuously enrolled Medicare Part D beneficiaries with first AF diagnosis in 2014 to 2015 (n=34 898). We calculated the proportion of days covered with OAC over the first 12 months after diagnosis and identified OAC adherence trajectories using group-based trajectory models. We constructed multinomial logistic regression models to evaluate how demographics, system-level factors, and clinical characteristics were associated with group membership. We identified 4 trajectories of OAC adherence: patients who never used OAC (43.8%), late OAC initiators (7.6%), early OAC discontinuers (8.9%), and continuously adherent patients (40.1%). Predictors such as sex, black race, residence in the South, or HAS - BLED score were associated with not only OAC use, but also the timing of initiation and the likelihood of discontinuation. For example, HAS - BLED score ≥4 was associated with a higher likelihood of not using OAC (odds ratio 1.35; 95% CI , 1.14-1.62), of late initiation (1.55; 95% CI , 1.11-2.05), and of early discontinuation (odds ratio 1.35; 95% CI , 1.01-1.84). Conclusions We identified 4 distinct trajectories of OAC adherence after first AF diagnosis, with <45% of newly diagnosed AF patients belonging to the trajectory group characterized by continuous OAC adherence. Trajectories were associated not only with demographic and clinical characteristics but also with regional factors.Background Only 50% of atrial fibrillation ( AF ) patients recommended for oral anticoagulation ( OAC ) use these medications, and less than half of them adhere to OAC . In a cohort of Medicare beneficiaries newly diagnosed with AF , we identified groups of patients with similar trajectories of OAC use and adherence, and evaluated patient characteristics affecting group membership. Methods and Results We selected continuously enrolled Medicare Part D beneficiaries with first AF diagnosis in 2014 to 2015 (n=34 898). We calculated the proportion of days covered with OAC over the first 12 months after diagnosis and identified OAC adherence trajectories using group-based trajectory models. We constructed multinomial logistic regression models to evaluate how demographics, system-level factors, and clinical characteristics were associated with group membership. We identified 4 trajectories of OAC adherence: patients who never used OAC (43.8%), late OAC initiators (7.6%), early OAC discontinuers (8.9%), and continuously adherent patients (40.1%). Predictors such as sex, black race, residence in the South, or HAS - BLED score were associated with not only OAC use, but also the timing of initiation and the likelihood of discontinuation. For example, HAS - BLED score ≥4 was associated with a higher likelihood of not using OAC (odds ratio 1.35; 95% CI , 1.14-1.62), of late initiation (1.55; 95% CI , 1.11-2.05), and of early discontinuation (odds ratio 1.35; 95% CI , 1.01-1.84). Conclusions We identified 4 distinct trajectories of OAC adherence after first AF diagnosis, with <45% of newly diagnosed AF patients belonging to the trajectory group characterized by continuous OAC adherence. Trajectories were associated not only with demographic and clinical characteristics but also with regional factors. Background Only 50% of atrial fibrillation ( AF ) patients recommended for oral anticoagulation ( OAC ) use these medications, and less than half of them adhere to OAC . In a cohort of Medicare beneficiaries newly diagnosed with AF , we identified groups of patients with similar trajectories of OAC use and adherence, and evaluated patient characteristics affecting group membership. Methods and Results We selected continuously enrolled Medicare Part D beneficiaries with first AF diagnosis in 2014 to 2015 (n=34 898). We calculated the proportion of days covered with OAC over the first 12 months after diagnosis and identified OAC adherence trajectories using group-based trajectory models. We constructed multinomial logistic regression models to evaluate how demographics, system-level factors, and clinical characteristics were associated with group membership. We identified 4 trajectories of OAC adherence: patients who never used OAC (43.8%), late OAC initiators (7.6%), early OAC discontinuers (8.9%), and continuously adherent patients (40.1%). Predictors such as sex, black race, residence in the South, or HAS - BLED score were associated with not only OAC use, but also the timing of initiation and the likelihood of discontinuation. For example, HAS - BLED score ≥4 was associated with a higher likelihood of not using OAC (odds ratio 1.35; 95% CI , 1.14-1.62), of late initiation (1.55; 95% CI , 1.11-2.05), and of early discontinuation (odds ratio 1.35; 95% CI , 1.01-1.84). Conclusions We identified 4 distinct trajectories of OAC adherence after first AF diagnosis, with <45% of newly diagnosed AF patients belonging to the trajectory group characterized by continuous OAC adherence. Trajectories were associated not only with demographic and clinical characteristics but also with regional factors. |
Author | Chen, Nemin Hernandez, Inmaculada Gellad, Walid F. Saba, Samir He, Meiqi Brooks, Maria M. |
AuthorAffiliation | 3 Heart and Vascular Institute University of Pittsburgh Medical Centre Pittsburgh PA 4 Department of General Internal Medicine School of Medicine University of Pittsburgh PA 1 Department of Pharmacy and Therapeutics School of Pharmacy University of Pittsburgh PA 5 VA Pittsburgh Healthcare System Pittsburgh PA 2 Department of Epidemiology Graduate School of Public Health University of Pittsburgh PA |
AuthorAffiliation_xml | – name: 2 Department of Epidemiology Graduate School of Public Health University of Pittsburgh PA – name: 5 VA Pittsburgh Healthcare System Pittsburgh PA – name: 1 Department of Pharmacy and Therapeutics School of Pharmacy University of Pittsburgh PA – name: 4 Department of General Internal Medicine School of Medicine University of Pittsburgh PA – name: 3 Heart and Vascular Institute University of Pittsburgh Medical Centre Pittsburgh PA |
Author_xml | – sequence: 1 givenname: Inmaculada surname: Hernandez fullname: Hernandez, Inmaculada organization: Department of Pharmacy and Therapeutics School of Pharmacy University of Pittsburgh PA – sequence: 2 givenname: Meiqi surname: He fullname: He, Meiqi organization: Department of Pharmacy and Therapeutics School of Pharmacy University of Pittsburgh PA – sequence: 3 givenname: Nemin surname: Chen fullname: Chen, Nemin organization: Department of Pharmacy and Therapeutics School of Pharmacy University of Pittsburgh PA, Department of Epidemiology Graduate School of Public Health University of Pittsburgh PA – sequence: 4 givenname: Maria M. surname: Brooks fullname: Brooks, Maria M. organization: Department of Epidemiology Graduate School of Public Health University of Pittsburgh PA – sequence: 5 givenname: Samir surname: Saba fullname: Saba, Samir organization: Heart and Vascular Institute University of Pittsburgh Medical Centre Pittsburgh PA – sequence: 6 givenname: Walid F. surname: Gellad fullname: Gellad, Walid F. organization: Department of General Internal Medicine School of Medicine University of Pittsburgh PA, VA Pittsburgh Healthcare System Pittsburgh PA |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31189392$$D View this record in MEDLINE/PubMed |
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Snippet | Background Only 50% of atrial fibrillation ( AF ) patients recommended for oral anticoagulation ( OAC ) use these medications, and less than half of them... Background Only 50% of atrial fibrillation (AF) patients recommended for oral anticoagulation (OAC) use these medications, and less than half of them adhere to... |
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SubjectTerms | adherence Administration, Oral Aged Aged, 80 and over Anticoagulants - administration & dosage anticoagulation atrial fibrillation Atrial Fibrillation - complications Cohort Studies Female Humans Male Medicare Medication Adherence - statistics & numerical data Middle Aged Original Research Stroke - etiology Stroke - prevention & control Time Factors United States |
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Title | Trajectories of Oral Anticoagulation Adherence Among Medicare Beneficiaries Newly Diagnosed With Atrial Fibrillation |
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