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

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 toward stopping medications. A multinomial logit model was used to compare the latent classes. Results: Among the 1,131 participants, 55.2% ( 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.