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Prevalence and Predictors of Polypharmacy among Korean Elderly

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  • Hong-Ah Kim
  • Ju-Young Shin
  • Mi-Hee Kim
  • Byung-Joo Park

Abstract

Objective: Polypharmacy is widespread in the elderly because of their multiple chronic health problems. The objective of this study was to investigate the prevalence and predictors associated with polypharmacy in a nationally representative sample of Korean elderly individuals. Methods: We used the Korea Health Insurance Review and Assessment Service – National Patient Sample (HIRA-NPS) data from 2010 and 2011. We used information on 319,185 elderly patients (aged 65 years or older) between January 1, 2010 and December 31, 2011 from the HIRA-NPS database. We defined ‘polypharmacy’ as the concurrent use of 6 medications or more per person, ‘major polypharmacy’ as 11 medications or more, and ‘excessive polypharmacy’ as 21 medications or more. The frequency and proportion (%) and their 95% confidence intervals were presented according to the polypharmacy definition. Polypharmacy was visualized by the Quantum Geographic Information Systems (QGIS) program to describe regional differences in patterns of drug use. Multivariate ordinal logistic regression was performed to estimate odds ratios (ORs) and their 95% confidence intervals (CI) to investigate the risk factors for polypharmacy. Results: Of the Korean elderly studied, 86.4% had polypharmacy, 44.9% had major polypharmacy and 3.0% had excessive polypharmacy. Polypharmacy was found to be primarily concentrated in the Southwest region of the country. Significant associations between polypharmacy and the lower-income Medical Aid population (OR = 1.52, 95% CI 1.47, 1.56) compared with National Health Insurance patients was observed. Conclusions: Nationwide efforts are needed for managing polypharmacy among Korean elderly patients. In particular, a national campaign and education to promote appropriate use of medicines for the Medical Aid population is needed.

Suggested Citation

  • Hong-Ah Kim & Ju-Young Shin & Mi-Hee Kim & Byung-Joo Park, 2014. "Prevalence and Predictors of Polypharmacy among Korean Elderly," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-7, June.
  • Handle: RePEc:plo:pone00:0098043
    DOI: 10.1371/journal.pone.0098043
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    Cited by:

    1. Sanaa Mekdad & Adher D Alsayed & Alaa A Alsayed, 2017. "What Geriatrics Know about Specific Medications," Global Journal of Health Science, Canadian Center of Science and Education, vol. 9(9), pages 1-97, September.
    2. Juan Manuel Carmona‐Torres & Ana Isabel Cobo‐Cuenca & Beatriz Recio‐Andrade & José Alberto Laredo‐Aguilera & María Manuela Martins & María Aurora Rodríguez‐Borrego, 2018. "Prevalence and factors associated with polypharmacy in the older people: 2006–2014," Journal of Clinical Nursing, John Wiley & Sons, vol. 27(15-16), pages 2942-2952, August.
    3. Yeon-Hee Baek & Ju-Young Shin, 2018. "Trends in polypharmacy over 12 years and changes in its social gradients in South Korea," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-17, September.
    4. Yu-Seon Jung & David Suh & Hang-Seok Choi & Hee-Deok Park & Sun-Young Jung & Dong-Churl Suh, 2022. "Risk of Fall-Related Injuries Associated with Antidepressant Use in Elderly Patients: A Nationwide Matched Cohort Study," IJERPH, MDPI, vol. 19(4), pages 1-13, February.
    5. Shervin Assari & Cheryl Wisseh & Mohsen Bazargan, 2019. "Obesity and Polypharmacy among African American Older Adults: Gender as the Moderator and Multimorbidity as the Mediator," IJERPH, MDPI, vol. 16(12), pages 1-16, June.
    6. Sunmin Lee & JunYoung Jang & Seungwon Yang & Jongsung Hahn & Kyoung Lok Min & Eun hee Jung & Kyung sun Oh & Raejung Cho & Min Jung Chang, 2019. "Development and validation of the Korean version of the medication regimen complexity index," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-11, May.
    7. Jungmee Kim & Ju-Young Shin & Joongyub Lee & Hong-Ji Song & Nam-Kyong Choi & Byung-Joo Park, 2015. "Comparison of the Prescribing Pattern of Bisphosphonate and Raloxifene in Korean Women with Osteoporosis: From a National Health Insurance Claims Database," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-13, June.

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