Cited by 587Medication Adherence and CompliancePharmaceutical Practices and Patient OutcomesChronic Disease Management Strategies

Comparison of drug adherence rates among patients with seven different medical conditions

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Briesacher, Becky A., Andrade, Susan E., Fouayzi, Hassan, Chan, K. Arnold·2008·Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy

Abstract

STUDY OBJECTIVE: To compare drug adherence rates among patients with gout, hypercholesterolemia, hypertension, hypothyroidism, osteoporosis, seizure disorders, and type 2 diabetes mellitus by using a standardized approach. DESIGN: Longitudinal study. DATA SOURCE: Health care claims data from 2001-2004. PATIENTS: A total of 706,032 adults aged 18 years or older with at least one of the seven medical conditions and with incident use of drug therapy for that condition. MEASUREMENTS AND MAIN RESULTS: Drug adherence was measured as the sum of the days' supply of drug therapy over the first year observed. Covariates were age, sex, geographic residence, type of health plan, and a comorbidity score calculated by using the Hierarchical Condition Categories risk adjuster. Bivariate statistics and stratification analyses were used to assess unadjusted means and frequency distributions. Sample sizes ranged from 4984 subjects for seizure disorders to 457,395 for hypertension. During the first year of drug therapy, 72.3% of individuals with hypertension achieved adherence rates of 80% or better compared with 68.4%, 65.4%, 60.8%, 54.6%, 51.2%, or 36.8% for those with hypothyroidism, type 2 diabetes, seizure disorders, hypercholesterolemia, osteoporosis, or gout, respectively. Age younger than 60 years was associated with lower adherence across all diseases except seizure disorders. Comorbidity burden and adherence varied by disease. As comorbidity increased, adherence among subjects with osteoporosis decreased, whereas adherence among those with hypertension, hypercholesterolemia, or gout increased. Add-on drug therapies and previous experience with taking drugs for the condition increased adherence among subjects with hypertension, type 2 diabetes, hypothyroidism, or seizure disorders but not the other conditions. CONCLUSION: This uniform comparison of drug adherence revealed modest variation across six of seven diseases, with the outlier condition being gout.

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Authors
Briesacher, B. A., Andrade, S. E., Fouayzi, H., & Chan, K. A.
Affiliations
  • University of Massachusetts Chan Medical School (US)
  • Harvard University (US)
Corresponding author
Briesacher, Becky A.
Venue
Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy
Publisher
Wiley
Published
2008-04
Volume
28
Issue
4
Pages
437-443
ISSN
  • 0277-0008 (ISSN-L)
  • 1875-9114
OpenAlex
W2024127533
Cited by
587
References
9
Citations by year
2026: 12 · 2025: 22 · 2024: 16 · 2023: 31 · 2022: 42 · 2021: 51 · 2020: 49 · 2019: 38 · 2018: 45 · 2017: 36 · 2016: 33 · 2015: 38 · 2014: 37 · 2013: 34 · 2012: 31
FWCI
16.62
Type
journal article
Language
en
Open access
Locations
  • Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship@UMassChan (submittedVersion)
Funders
National Institute on Aging (K01AG031836)
Topics
  • Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
  • Health Sciences › Medicine › Geriatrics and Gerontology › Pharmaceutical Practices and Patient Outcomes
  • Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
Keywords
medication adherence, gout, hypercholesterolemia, hypertension, hypothyroidism, osteoporosis, epilepsy, type 2 diabetes, comorbidities, age and adherence, health insurance claims
MeSH terms
Adolescent, Adult, Age Factors, Aged, Diabetes Mellitus, Type 2, Drug Therapy, Pharmaceutical Preparations, Epilepsy, Female, Gout, Humans, Hypercholesterolemia, Hypertension, Hypothyroidism, Longitudinal Studies, Male, Middle Aged, Osteoporosis, Patient Compliance, Comorbidity, Databases, Factual

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