Leonelo E Bautista1. 1. Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, USA. lebautisa@wisc.edu
Abstract
BACKGROUND: More than 40% of treated hypertensives in the United States do not have their blood pressure under control. This is partly owing to non-persistence with prescribed medication, which occurs within 1 year in 32-53% of newly treated patients. Knowledge of factors related to non-persistence is limited, partly because previous studies have being conducted mostly in elderly patients enrolled in a single health insurance. METHODS: Weighted logistic regression was used to identify factors associated with non-persistence in hypertensive patients from National Health and Nutrition Examination Surveys III (NHANES III) and NHANES 1999-2002 who had been prescribed antihypertensive medication. RESULTS: Of 6100 participants, 903 were non-persistent (sampling weighted national prevalence of 12.5%), even though they had elevated blood pressure. Non-persistence was 12 times higher in patients <30 years than in those > or =50 years old (P < 0.001), 31% higher in men than in women (P = 0.01), and 43% higher in Hispanics, as compare to other racial groups (P = 0.03). Patients with low income were almost two times more likely to be non-persistent (P < 0.001). Having no health insurance increased non-persistence by 88% (P = 0.002), and patients who did not visit their doctor during the last year were 10 times more likely to be non-persistent than those who made at least one medical visit (P < 0.001). CONCLUSIONS: In addition to young age, factors related to access to health care and medications (low income, health insurance, and visits to the doctor) were the main predictors of non-persistence. Policies that improve access to health care and patient follow-up may be of great impact in maintaining persistence.
BACKGROUND: More than 40% of treated hypertensives in the United States do not have their blood pressure under control. This is partly owing to non-persistence with prescribed medication, which occurs within 1 year in 32-53% of newly treated patients. Knowledge of factors related to non-persistence is limited, partly because previous studies have being conducted mostly in elderly patients enrolled in a single health insurance. METHODS: Weighted logistic regression was used to identify factors associated with non-persistence in hypertensivepatients from National Health and Nutrition Examination Surveys III (NHANES III) and NHANES 1999-2002 who had been prescribed antihypertensive medication. RESULTS: Of 6100 participants, 903 were non-persistent (sampling weighted national prevalence of 12.5%), even though they had elevated blood pressure. Non-persistence was 12 times higher in patients <30 years than in those > or =50 years old (P < 0.001), 31% higher in men than in women (P = 0.01), and 43% higher in Hispanics, as compare to other racial groups (P = 0.03). Patients with low income were almost two times more likely to be non-persistent (P < 0.001). Having no health insurance increased non-persistence by 88% (P = 0.002), and patients who did not visit their doctor during the last year were 10 times more likely to be non-persistent than those who made at least one medical visit (P < 0.001). CONCLUSIONS: In addition to young age, factors related to access to health care and medications (low income, health insurance, and visits to the doctor) were the main predictors of non-persistence. Policies that improve access to health care and patient follow-up may be of great impact in maintaining persistence.
Authors: Miriam Qvarnström; Thomas Kahan; Helle Kieler; Lena Brandt; Jan Hasselström; Kristina Bengtsson Boström; Karin Manhem; Per Hjerpe; Björn Wettermark Journal: Eur J Clin Pharmacol Date: 2013-07-16 Impact factor: 2.953
Authors: Marcee E Wilder; Zhanonian Zheng; Scott L Zeger; Angelo Elmi; Richard J Katz; Yixuan Li; Melissa L Mccarthy Journal: Circ Cardiovasc Qual Outcomes Date: 2022-01-31
Authors: Elizabeth Holt; Cara Joyce; Adriana Dornelles; Donald Morisky; Larry S Webber; Paul Muntner; Marie Krousel-Wood Journal: J Am Geriatr Soc Date: 2013-03-25 Impact factor: 5.562
Authors: Will Maimaris; Jared Paty; Pablo Perel; Helena Legido-Quigley; Dina Balabanova; Robby Nieuwlaat; Martin McKee Journal: PLoS Med Date: 2013-07-30 Impact factor: 11.069