Trajectories of Adherence to Low-Dose Aspirin Treatment Among the French Population. (January 2020)

• Record Type: Journal Article
• Authors: Ajrouche, Aya; Estellat, Candice; De Rycke, Yann; Tubach, Florence
• Is Part Of: Journal of cardiovascular pharmacology and therapeutics. Volume 25:Number 1(2020:Jan.)
• Page Start: 37
• Page End: 46
• Publication Date: 2020-01
• Subjects: aspirin -- adherence -- group-based trajectory modeling -- SNDS -- pharmacoepidemiology -- population-based study; Cardiovascular pharmacology -- Periodicals; Cardiovascular system -- Diseases -- Treatment -- Periodicals; 616
• DOI: 10.1177/1074248419865287
• Languages: English
• ISSNs: 1074-2484

Abstract

Background: Previous studies have shown that adherence to low-dose aspirin (LDA) is suboptimal. However, these studies were based on an average measure of adherence during follow-up, ignoring its dynamic process over time. We described the trajectories of adherence to LDA treatment among the French population over 3 years of follow-up. Methods: We identified a cohort of 11 793 new LDA users, aged ≥50 years in 2010, by using the French national health-care database. Patients included had at least 3 years of history in the database before study entry to exclude prevalent aspirin users and to assess baseline comorbidities. They were followed from the first date of LDA supply (the index date) until the first date among death, exit from the database, or 3 years after the index date. Adherence to LDA was assessed every 3 months by using the proportion of days covered (PDC) and dichotomized with a cutoff of PDC of 0.8. We used group-based trajectory modeling to identify trajectories of LDA adherence. Predictors of LDA adherence trajectory membership were identified by multinomial logistics regression. Results: We identified 4 trajectories of adherence among new LDA users: the not-adherents (4737 [40.2%]), the delayed not-adherents (gradual decrease in adherence probability, 1601 [13.6%]), the delayed adherents (gradual increase in adherence probability, 1137 [9.6%]), and the persistent adherents (4318 [36.6%]). The probability of belonging to the not-adherent group was increased with female sex, low socioeconomic status, and polymedication and was reduced with a secondary indication for LDA use, such as diabetes, hypertension, and dementia, at least 4 consultations in the previous year, or 1 hospitalization or a cardiologist consultation in the 3 months before the index date. Conclusion: This study provides a dynamic picture of adherence behaviors among new LDA users and underlines the presence of critical trajectories that intervention could target to improve adherence.