Grace M Perez-Benzo1, Kimberly Muellers2, Shiqi Chen3, Bian Liu4, Emilia Bagiella5, Rachel O'Conor6, Michael S Wolf6, Juan P Wisnivesky7, Alex D Federman8. 1. Icahn School of Medicine at Mount Sinai, New York, NY, United States. 2. Department of Psychology, Pace University, New York, NY, United States. 3. ISO, Verisk Analytics, Jersey City, NJ, United States. 4. Institute for Translational Epidemiology, Department of Population Health Science and Policy, The Icahn School of Medicine at Mount Sinai, New York, NY, United States. 5. International Center for Health Outcomes and Innovation Research, the Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States. 6. Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States. 7. Division of Pulmonary and Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States. 8. Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States. Electronic address: alex.federman@mssm.edu.
Abstract
OBJECTIVES: To identify and characterize the constellation, or clusters, of self-management behaviors in patients with chronic obstructive pulmonary disease (COPD) and comorbid hypertension. METHODS: Cluster analysis (n = 204) was performed with standardized scores for medication adherence to COPD and hypertension medications, inhaler technique, and diet as well as self-reported information on physical activity, appointment keeping, smoking status, and yearly influenza vaccination for a total of eight variables. Classification and regression tree analysis (CART) was performed to further characterize the resulting clusters. RESULTS: Patients were divided into three clusters based on eight self-management behaviors, which included 95 patients in cluster 1, 42 in cluster 2, and 67 in cluster 3. All behaviors except for inhaler technique differed significantly among the three clusters (P's<0.005). CART indicated physical activity was the first differentiating variable. CONCLUSIONS: Patients with COPD and hypertensioncan be separated into those with adequate and inadequate adherence. The group with inadequate adherence can further be divided into those with poor adherence to medical behaviors compared to those with poor adherence to lifestyle behaviors. PRACTICE IMPLICATIONS: Once validated in other populations, the identification of patient clusters using patient self-management behaviors could be used to inform interventions for patients with multimorbidity.
OBJECTIVES: To identify and characterize the constellation, or clusters, of self-management behaviors in patients with chronic obstructive pulmonary disease (COPD) and comorbid hypertension. METHODS: Cluster analysis (n = 204) was performed with standardized scores for medication adherence to COPD and hypertension medications, inhaler technique, and diet as well as self-reported information on physical activity, appointment keeping, smoking status, and yearly influenza vaccination for a total of eight variables. Classification and regression tree analysis (CART) was performed to further characterize the resulting clusters. RESULTS: Patients were divided into three clusters based on eight self-management behaviors, which included 95 patients in cluster 1, 42 in cluster 2, and 67 in cluster 3. All behaviors except for inhaler technique differed significantly among the three clusters (P's<0.005). CART indicated physical activity was the first differentiating variable. CONCLUSIONS: Patients with COPD and hypertensioncan be separated into those with adequate and inadequate adherence. The group with inadequate adherence can further be divided into those with poor adherence to medical behaviors compared to those with poor adherence to lifestyle behaviors. PRACTICE IMPLICATIONS: Once validated in other populations, the identification of patient clusters using patient self-management behaviors could be used to inform interventions for patients with multimorbidity.
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