Nathanial Schreiner1, Sarah DiGennaro2, Carla Harwell3, Christopher Burant2, Barbara Daly2, Sara Douglas2. 1. Case Western Reserve University, Frances Payne Bolton School of Nursing, Cleveland, OH, United States of America. Electronic address: njs90@case.edu. 2. Case Western Reserve University, Frances Payne Bolton School of Nursing, Cleveland, OH, United States of America. 3. University Hospitals, Cleveland, OH, United States of America.
Abstract
PURPOSE: We aimed to (1) describe the amount of treatment burden experienced in the primary care population diagnosed with chronic conditions and (2) examine if cumulative and task-specific treatment burden were predictors of medication, exercise, and dietary adherence in patients diagnosed with chronic conditions. DESIGN: We conducted a prospective, descriptive, cross-sectional study. METHODS: We enrolled 149 men and women from a single primary care clinic. Participants completed self-report surveys with data collected between September 2019 and December 2019. Our primary statistical analyses consisted of multivariate regression modeling. RESULTS: The sample experience a moderate amount of treatment burden (M = 38.22; SD = 31.83). We found strong, negative correlations between both cumulative and task-specific burden in relation to medication, exercise, and dietary adherence (p < .001). Significant multivariate models (p < .001), controlling for sample demographics, demonstrated cumulative treatment burden predicted medication adherence, whereas task-specific burden predicted medication, exercise, and dietary adherence outcomes, with model effect sizes ranging from moderate (0.20) to large (0.54). CONCLUSIONS: Results demonstrate higher levels of cumulative and task-specific treatment burden predict medication, exercise, and dietary adherence within a sample diagnosed with various chronic conditions. These findings indicate the potential for using treatment burden screening in the clinical setting to identify individuals at risk for poor self-management adherence. Treatment burden screening also enables the provider to determine areas of high burden affecting self-management adherence in order to design an effective treatment plan using targeted interventions, resources, or education to reduce patient burden in order to improve adherence.
PURPOSE: We aimed to (1) describe the amount of treatment burden experienced in the primary care population diagnosed with chronic conditions and (2) examine if cumulative and task-specific treatment burden were predictors of medication, exercise, and dietary adherence in patients diagnosed with chronic conditions. DESIGN: We conducted a prospective, descriptive, cross-sectional study. METHODS: We enrolled 149 men and women from a single primary care clinic. Participants completed self-report surveys with data collected between September 2019 and December 2019. Our primary statistical analyses consisted of multivariate regression modeling. RESULTS: The sample experience a moderate amount of treatment burden (M = 38.22; SD = 31.83). We found strong, negative correlations between both cumulative and task-specific burden in relation to medication, exercise, and dietary adherence (p < .001). Significant multivariate models (p < .001), controlling for sample demographics, demonstrated cumulative treatment burden predicted medication adherence, whereas task-specific burden predicted medication, exercise, and dietary adherence outcomes, with model effect sizes ranging from moderate (0.20) to large (0.54). CONCLUSIONS: Results demonstrate higher levels of cumulative and task-specific treatment burden predict medication, exercise, and dietary adherence within a sample diagnosed with various chronic conditions. These findings indicate the potential for using treatment burden screening in the clinical setting to identify individuals at risk for poor self-management adherence. Treatment burden screening also enables the provider to determine areas of high burden affecting self-management adherence in order to design an effective treatment plan using targeted interventions, resources, or education to reduce patient burden in order to improve adherence.
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