Identifying deprescribing profiles in older adults from 14 countries using the Patient Deprescribing Typology

Abstract Background and Objectives Categorizing older adults by their medication and deprescribing beliefs may support tailored communication and shared decision-making. We aimed to identify latent classes of patients using the Patient Deprescribing Typology. Research Design and Methods This cross-sectional study used survey responses from 1,131 primary care patients (≥65 years, ≥5 medications) in 14 countries between May 2022 and December 2023. A latent class analysis was conducted using the 4-item Patient Deprescribing Typology, which captures older adults’ views on medication importance, learning styles, decision-making preferences, and attitudes towards stopping medications. A multinomial logit model was used to compare the latent classes. Results Among the 1,131 participants, 55.2% (n = 624) were female, and on average, participants were taking seven regular medications (SD = 2.3). Three latent classes were identified: (1) Would consider deprescribing (n = 760, 67.2%), (2) Attached to medications (n = 249, 22.0%), and (3) Defers decision-making to others (n = 122, 10.8%). Compared with participants who Would consider deprescribing, those Attached to medications were significantly less likely to want to deprescribe one of their specific medications (OR = 0.04, 95% CI 0.02–0.09, p 0.001). Participants who Defer decision-making to others reported lower trust in their GP (OR = 0.47, 95% CI 0.32–0.67). Discussion and Implications While most participants expressed openness to deprescribing, their preferences for information sources, perceived medication importance, and decision-making roles varied. Our findings highlight the need to account for patient differences in deprescribing attitudes. Typologies offer a practical basis for personalized communication and patient-centered interventions.