Analysis of longitudinal patterns and predictors of medicine use in residential aged care using group‐based trajectory modelling: The MEDTRAC‐Polypharmacy longitudinal cohort study DOI Creative Commons
Nasir Wabe, Rachel Urwin, Karla Seaman

и другие.

British Journal of Clinical Pharmacology, Год журнала: 2024, Номер 90(12), С. 3308 - 3319

Опубликована: Авг. 25, 2024

Abstract Aims Polypharmacy serves as a quality indicator in residential aged care facilities (RACFs) due to concerns about inappropriate medication use. However, aggregated polypharmacy rates at single time offer limited value. Longitudinal analysis of patterns provides valuable insights into identifying potential overuse medicines. We aimed determine long‐term trajectories (≥9 medicines) and factors associated with each trajectory group. Methods This was longitudinal cohort study using electronic data from 30 RACFs New South Wales, Australia. conducted group‐based modelling identify characterize over 3 years. evaluated the model fitness Bayesian Information Criterion, entropy (with value ≥0.8 considered ideal) several other metrics. Results The included 2837 permanent residents (median age = 86 years, 61.7% female 47.4% had dementia). identified five groups: group 1 (no polypharmacy, 46.0%); 2 (increasing 9.4%); (decreasing 9.2%); 4 (increasing‐then decreasing 10.0%), 5 (persistent 25.4%). showed excellent performance (e.g., 0.9). Multinomial logistic regressions revealed profile higher odds chronic respiratory disease compared 1). Conclusions Our groups, including one quarter following persistently high trajectory, signalling concerning overuse. Quality programs should adopt tailored metrics monitor diverse moving beyond current one‐size‐fits‐all approach better capturing evolving dynamics residents' regimens.

Язык: Английский

Analysis of longitudinal patterns and predictors of medicine use in residential aged care using group‐based trajectory modelling: The MEDTRAC‐Polypharmacy longitudinal cohort study DOI Creative Commons
Nasir Wabe, Rachel Urwin, Karla Seaman

и другие.

British Journal of Clinical Pharmacology, Год журнала: 2024, Номер 90(12), С. 3308 - 3319

Опубликована: Авг. 25, 2024

Abstract Aims Polypharmacy serves as a quality indicator in residential aged care facilities (RACFs) due to concerns about inappropriate medication use. However, aggregated polypharmacy rates at single time offer limited value. Longitudinal analysis of patterns provides valuable insights into identifying potential overuse medicines. We aimed determine long‐term trajectories (≥9 medicines) and factors associated with each trajectory group. Methods This was longitudinal cohort study using electronic data from 30 RACFs New South Wales, Australia. conducted group‐based modelling identify characterize over 3 years. evaluated the model fitness Bayesian Information Criterion, entropy (with value ≥0.8 considered ideal) several other metrics. Results The included 2837 permanent residents (median age = 86 years, 61.7% female 47.4% had dementia). identified five groups: group 1 (no polypharmacy, 46.0%); 2 (increasing 9.4%); (decreasing 9.2%); 4 (increasing‐then decreasing 10.0%), 5 (persistent 25.4%). showed excellent performance (e.g., 0.9). Multinomial logistic regressions revealed profile higher odds chronic respiratory disease compared 1). Conclusions Our groups, including one quarter following persistently high trajectory, signalling concerning overuse. Quality programs should adopt tailored metrics monitor diverse moving beyond current one‐size‐fits‐all approach better capturing evolving dynamics residents' regimens.

Язык: Английский

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