The Incidence and Determinants of Primary Nonadherence with Prescribed Medication in Primary Care: a Cohort Study
Overview
Affiliations
Background: Primary nonadherence is probably an important contributor to suboptimal disease management, but methodological challenges have limited investigation of it.
Objective: To estimate the incidence of primary nonadherence in primary care and the drug, patient, and physician characteristics that are associated with nonadherence.
Design: A prospective cohort of patients and all their incident prescriptions from primary care electronic health records between 2006 and 2009 linked to provincial drug insurer data on all drugs dispensed from community-based pharmacies were assembled.
Setting: Quebec, Canada.
Patients: 15 961 patients in a primary care network of 131 physicians.
Measurements: Primary nonadherence was defined as not filling an incident prescription within 9 months. Multivariate alternating logistic regression was used to estimate predictors of nonadherence and account for patient and physician clustering.
Results: Overall, 31.3% of the 37 506 incident prescriptions written for the 15 961 patients were not filled. Drugs in the upper quartile of cost were least likely to be filled (odds ratio [OR], 1.11 [95% CI, 1.07 to 1.17]), as were skin agents, gastrointestinal drugs, and autonomic drugs, compared with anti-infectives. Reduced odds of nonadherence were associated with increasing patient age (OR per 10 years, 0.89 [CI, 0.85 to 0.92]), elimination of prescription copayments for low-income groups (OR, 0.37 [CI, 0.32 to 0.41]), and a greater proportion of all physician visits with the prescribing physician (OR per 0.5 increase, 0.77 [CI, 0.70 to 0.85]).
Limitation: Patients' rationale for choosing not to fill their prescriptions could not be measured.
Conclusion: Primary nonadherence is common and may be reduced by lower drug costs and copayments, as well as increased follow-up care with prescribing physicians for patients with chronic conditions.
Primary Funding Source: Canadian Institutes of Health Research.
Tamblyn R, Habib B, Buckeridge D, Weir D, Frolova E, Alattar R BMJ Open. 2024; 14(11):e084492.
PMID: 39581737 PMC: 11590805. DOI: 10.1136/bmjopen-2024-084492.
Antwi-Amoabeng D, Beutler B, Ghuman J, Ulanja M, Ghuman J, Gullapalli N Cureus. 2024; 16(3):e56845.
PMID: 38659524 PMC: 11039430. DOI: 10.7759/cureus.56845.
Experiences and Outcomes of Using e-Prescribing for Opioids: Rapid Scoping Review.
Guilcher S, Cimino S, Tadrous M, McCarthy L, Riad J, Tricco A J Med Internet Res. 2023; 25:e49173.
PMID: 38153776 PMC: 10784986. DOI: 10.2196/49173.
Rebic N, Law M, Brotto L, Cragg J, De Vera M Community Ment Health J. 2023; 60(3):515-524.
PMID: 37930467 DOI: 10.1007/s10597-023-01202-1.
Prevalence and predictors of primary nonadherence to medications prescribed in primary care.
Zeitouny S, Cheng L, Wong S, Tadrous M, McGrail K, Law M CMAJ. 2023; 195(30):E1000-E1009.
PMID: 37553145 PMC: 10446155. DOI: 10.1503/cmaj.221018.