Patterns of patients with polypharmacy in adult population from Korea.

Sci Rep

Department of Family Medicine, Chung-Ang University College of Medicine, 102 Heukseok-ro, Dongjak-gu, Seoul, 06973, Republic of Korea.

Published: October 2022

AI Article Synopsis

  • * Six distinct clusters of patients were identified, including long-term hospitalized individuals, those with disabilities, low-income patients, high-income patients with frequent hospital visits, elderly women, and middle-aged men.
  • * The findings suggest that those in clusters 1-5, who have more medications and higher outpatient visits, might benefit more from targeted intervention programs to manage their medication use effectively.

Article Abstract

Polypharmacy and its rising global prevalence is a growing public health burden. Using a large representative nationwide Korean cohort (N = 761,145), we conducted a retrospective cross-sectional study aiming to identify subpopulations of patients with polypharmacy and characterize their unique patterns through cluster analysis. Patients aged ≥ 30 years who were prescribed at least one medication between 2014 and 2018 were included in our study. Six clusters were identified: cluster 1 mostly included patients who were hospitalized for a long time (4.3 ± 5.3 days); cluster 2 consisted of patients with disabilities (100.0%) and had the highest mean number of prescription drugs (7.7 ± 2.8 medications); cluster 3 was a group of low-income patients (99.9%); cluster 4 was a group of high-income patients (80.2%) who frequently (46.4 ± 25.9 days) visited hospitals/clinics (7.3 ± 2.7 places); cluster 5 was mostly elderly (74.9 ± 9.8 years) females (80.3%); and cluster 6 comprised mostly middle-aged (56.4 ± 1.5 years) males (88.6%) (all P < 0.001). Patients in clusters 1-5 had more prescribed medications and outpatient visit days than those in cluster 6 (all P < 0.001). Given limited health care resources, individuals with any of the identified phenotypes may be preferential candidates for participation in intervention programs for optimal medication use.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613698PMC
http://dx.doi.org/10.1038/s41598-022-23032-zDOI Listing

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