Literature DB >> 22441507

Predictors of antihypertensive medication adherence in two urban health-care systems.

Larissa Grigoryan1, Valory N Pavlik, David J Hyman.   

Abstract

BACKGROUND: Most studies on patient-related predictors of adherence used self-reported measures or pharmacy databases to measure adherence. We identified predictors of antihypertensive medication adherence measured by Medication Event Monitoring System (MEMS), the gold standard for adherence assessment, in uncontrolled, predominantly African-American (AA) hypertensives from large urban public and private primary care clinics.
METHODS: As part of the baseline data collection of a cluster-randomized trial for hypertension control, we measured adherence in a random sample of 124 participants using MEMS caps. We also included the data of 52 patients in intervention clinics who subsequently completed MEMS monitoring on referral from their provider. Participants were classified as adherent if they took ≥ 80% of all prescribed doses. Multivariate logistic regression was used to predict adherence.
RESULTS: Of 176 patients monitored, 61 (34.6%) took <80% of prescribed doses. AA ethnicity (odds ratio (OR) AA vs. Hispanic = 0.36; 95% confidence interval (CI) 0.15-0.86), female sex (OR = 0.38; 95% CI 0.15-0.91), and public clinics as source of care (OR public clinics vs. private clinics = 0.45; 95% CI 0.20-0.97) were independently associated with lower adherence. Higher adherence was seen in patients monitored by clinician order in the intervention clinics (OR intervention sample vs. random baseline sample = 2.15; 95% CI 0.96-4.81) and diabetic patients (OR = 2.05; 95% CI 1.01-4.15). All analyses were adjusted for education, employment status, and other potentially confounding factors.
CONCLUSIONS: AA ethnicity, female gender and attending a publicly funded primary care clinic were associated with lower adherence. Whether targeting these groups for special interventions would improve overall adherence needs further study.

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Year:  2012        PMID: 22441507     DOI: 10.1038/ajh.2012.30

Source DB:  PubMed          Journal:  Am J Hypertens        ISSN: 0895-7061            Impact factor:   2.689


  10 in total

1.  The 11-item Medication Adherence Reasons Scale: reliability and factorial validity among patients with hypertension in Malaysian primary healthcare settings.

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2.  Predictors of medication adherence: fact or artifact.

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Review 3.  Improving Medication Adherence in Cardiometabolic Disease: Practical and Regulatory Implications.

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4.  Association Between Health Literacy and Medication Adherence Among Hispanics with Hypertension.

Authors:  Maichou Lor; Theresa A Koleck; Suzanne Bakken; Sunmoo Yoon; Ann-Margaret Dunn Navarra
Journal:  J Racial Ethn Health Disparities       Date:  2019-01-03

5.  Patterns of nonadherence to antihypertensive therapy in primary care.

Authors:  Larissa Grigoryan; Valory N Pavlik; David J Hyman
Journal:  J Clin Hypertens (Greenwich)       Date:  2012-10-26       Impact factor: 3.738

6.  Characteristics, drug combinations and dosages of primary care patients with uncontrolled ambulatory blood pressure and high medication adherence.

Authors:  Larissa Grigoryan; Valory N Pavlik; David J Hyman
Journal:  J Am Soc Hypertens       Date:  2013-07-23

7.  Medication adherence in chronic illness: do beliefs about medications play a role?

Authors:  Jacinthe Lemay; Mohammad Waheedi; Sarah Al-Sharqawi; Tania Bayoud
Journal:  Patient Prefer Adherence       Date:  2018-09-05       Impact factor: 2.711

8.  Medication Adherence In Patients With Arterial Hypertension: The Relationship With Healthcare Systems' Organizational Factors.

Authors:  Ana Sofia Carvalho; Paulo Santos
Journal:  Patient Prefer Adherence       Date:  2019-10-17       Impact factor: 2.711

9.  Exploring gender differences in medication consumption and mortality in a cohort of hypertensive patients in Northern Italy.

Authors:  David Consolazio; Maria Elena Gattoni; Antonio Giampiero Russo
Journal:  BMC Public Health       Date:  2022-04-15       Impact factor: 4.135

10.  Potential contribution of lifestyle and socioeconomic factors to healthy user bias in antihypertensives and lipid-lowering drugs.

Authors:  Mitsuyo Kinjo; Edward Chia-Cheng Lai; Maarit Jaana Korhonen; Rita L McGill; Soko Setoguchi
Journal:  Open Heart       Date:  2017-03-09
  10 in total

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