대한한의학회지 (The Journal of Korean Medicine)

  • 제45권3호
  • /
  • Pages.14-30
  • /
  • 2024
  • /
  • 1010-0695(pISSN)
  • /
  • 2288-3339(eISSN)
대한한의학회 (The Society of Korean Medicine)
권호 표지
DOI QR코드

DOI QR Code

건강보험용 한약제제의 처방 패턴에 대한 기술역학적 분석: 건강보험공단 표본코호트 2.0 분석 (2010-2019)

General prescription pattern of insured herbal preparation in South Korea: A nationwide cohort study

  • 김희경 (삼성융합의과학원 임상연구설계평가학과) ;
  • 이만경 (삼성융합의과학원 임상연구설계평가학과) ;
  • 김재곤 (삼성융합의과학원 임상연구설계평가학과) ;
  • 조주희 (삼성융합의과학원 임상연구설계평가학과)
  • Heekyung Kim (Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University) ;
  • Mangyeong Lee (Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University) ;
  • Jaegon Kim (Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University) ;
  • Juhee Cho (Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University)
  • 투고 : 2024.05.28
  • 심사 : 2024.08.19
  • 발행 : 2024.09.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Objectives: Research on the general prescription patterns of insured herbal preparations in Korea has been limited. This study aimed to analyze prescription patterns of insured herbal preparations, utilizing the National Health Insurance Service (NHIS) sample cohort 2.0 data from 2010 to 2019. Methods: NHIS sample cohort 2.0 database, which represents a sample of 2.2% of the Korean population, was analyzed. We analyzed data related to prescriptions recognized as insured herbal preparations. Variables included patient demographics, diagnosis codes, prescription details, and healthcare institution characteristics. We examined trends over the decade, focusing on herbal formulae and single herb extracts. Results: During the study period, 275,358 patients visited Korean traditional medicine clinics and received at least one prescription of herbal preparations, representing 27.5% of the total sample. The number of prescriptions increased by 209%, from 34,621 in 2010 to 72,553 in 2019. Females accounted for 67% of these prescriptions, and 77% were for patients aged 70 and older. The top ten herbal formulae (TTHF), including Ojeok-san and Gungha-tang, constituted 76% of all prescriptions. Herbal formulae were used more frequently than single herb extracts, with certain prescriptions being commonly utilized. There was a notable focus on musculoskeletal disorders, with low back pain being the most common diagnosis. Conclusion: The study demonstrates a significant increase in the use of insured herbal preparations, primarily in small clinics and among the elderly. Prescription patterns showed a preference for specific single herb extracts and herbal formulae, with consistent trends over time. These findings provide valuable insights for future clinical research and policy development, particularly as herbal medicine's role in the national healthcare system continues to expand.

키워드

과제정보

데이터를 분석해주신 (주)차라투 김진섭 대표님과 성균관의대 한수현 학생에게 깊은 감사의 인사를 드립니다.

참고문헌

  1. Ministry of Health and Welfare. (2014, March 18). Pharmaceutical Affairs Act. Act No. 12450, Partial Amendment. 
  2. Ministry of Food and Drug Safety. (2014, March 3). Regulation on Herbal Medicinal Preparations(Crude Drugs) Approval and Notification. Notification No. 2014-100, Partial Amendment. 
  3. Kim, J.-H., Cho, S.-Y., Han, S.-Y., Park, S.-D., & Kim, Y.-K. (2015). Suggestion about Modernized Classification of Herbal Medicinal Preparations in Dual Medical Systems. Journal of Korean Medicine, 36(1), 61-74. https://doi.org/10.13048/jkm.15006 
  4. Kim, C., & Shin, H. (2023). Analysis of the current status of quantitative literature evidence for the prescription of 56 herbal medicines covered by health insurance. Journal of Korean Medicine, 44(3), 189-200. https://doi.org/10.13048/jkm.23041 
  5. Ministry of Health and Welfare. (2024). Criteria for calculating the upper limit of herbal medicines (based on determination and adjustment of medicines). Ministry of Health and Welfare. https://www.law.go.kr/LSW/admRulLsInfoP.do?admRulSeq=2100000112431 
  6. Akom news. (2024). Reevaluating the upper limit of herbal medicines and changing the list of benefits "in progress." www.akomnews.com. https://www.akomnews.com/bbs/board.php?bo_table=news&wr_id=55535 
  7. Drug control department. (2021). Benefit Drug Claims Status. HIRA. Available from: https://www.hira.or.kr/bbsDummy.do?pgmid=HIRAA020045010000&brdScnBltNo=4&brdBltNo=2367#none 
  8. Jeong, Woo Sung, Shin, Woo Cheol, Hong, Ik Hwan, Choi, Jung Uk, & Kim, Yun-Kyung. (2017). A survey on additional needs for herbal preparations in national health insurance service. Herbal Formula Science, 25(3), 375-390. https://doi.org/10.14374/HFS.2017.25.3.375 
  9. Korean Medicine Yearbook. (2021). National Institute of Korean Medicine Development. Available from: https://nikom.or.kr/nikom/board/index.do?menu_idx=38&manage_idx=53 
  10. Yang, P.-R., Liang, H.-F., Chu, Y.-H., Chen, P.-C., & Lin, Y.-Y. (2015). Frequencies and prescription patterns of traditional Chinese medicine use among elderly patients in Taiwan: A population-based study. Journal of Ethnopharmacology, 169, 328-334. https://doi.org/10.1016/j.jep.2015.04.046 
  11. Liang, H.-F., Yang, Y.-H., Chen, P.-C., Kuo, H.-C., Chang, C.-H., Wang, Y.-H et al. (2018). Prescription patterns of traditional Chinese medicine amongst Taiwanese children: A population-based cohort study. BMC Complementary and Alternative Medicine, 18(1), 191. https://doi.org/10.1186/s12906-018-2261-2 
  12. Wen, S.-H., Chang, W.-C., Shen, H.-S., & Wu, H.-C. (2020). Prescription patterns and factors influencing the use of Chinese herbal medicine among pregnant women in Taiwan: A population-based retrospective study. BMC Complementary Medicine and Therapies, 20(1), 240. https://doi.org/10.1186/s12906-020-03032-0 
  13. Yang, Y.-H., Chen, P.-C., Wang, J.-D., Lee, C.-H., & Lai, J.-N. (2009). Prescription pattern of traditional Chinese medicine for climacteric women in Taiwan. Climacteric : The Journal of the International Menopause Society, 12(6), 541-547. https://doi.org/10.3109/13697130903060081 
  14. Lin, M.-J., Chen, H.-W., Liu, P.-H., Cheng, W.-J., Kuo, S.-L., & Kao, M.-C. (2019). The prescription patterns of traditional Chinese medicine for women with polycystic ovary syndrome in Taiwan: A nationwide population-based study. Medicine, 98(24), e15890. https://doi.org/10.1097/MD.0000000000015890 
  15. Brodie, M. J. (2022). Prescription patterns among people with epilepsy. Epilepsy & Behavior, 130, 108690. https://doi.org/10.1016/j.yebeh.2022.108690 
  16. Chang, Y.-Y., Tsai, Y.-T., Lai, J.-N., Yeh, C.-H., & Lin, S.-K. (2014). The traditional Chinese medicine prescription patterns for migraine patients in Taiwan: A population -based study. Journal of Ethnopharmacology, 151(3), 1209-1217. https://doi.org/10.1016/j.jep.2013.12.040 
  17. Lee, Y.-S., Kwon, S., Chae, Y., Jang, B.-H., & Ko, S.-G. (2018). A retrospective cohort study on the outcomes of ischemic stroke patients with adjuvant Korean Medicine treatment. Scientific Reports, 8(1), 1656. https://doi.org/10.1038/s41598-018-19841-w 
  18. Kim, C. H., Choi, Y., Chung, C. K., Kim, K.-J., Shin, D. A., Park et al. (2021). Nonsurgical treatment outcomes for surgical candidates with lumbar disc herniation: A comprehensive cohort study. Scientific Reports, 11(1), 3931. https://doi.org/10.1038/s41598-021-83471-y 
  19. Moon, H., Kim, M., Hwang, D., Jang, J., Lee, J., Shin, J et al. (2020). BJOG: An International Journal of Obstetrics & Gynaecology, 127(1), 79-86. https://doi.org/10.1111/1471-0528.15925 
  20. Lee, B., Ahn, E. K., & Yang, C. (2022). Herbal Medicine Prescriptions for Functional Dyspepsia: A Nationwide Population-Based Study in Korea. Evidence-Based Complementary and Alternative Medicine : eCAM, 2022, 3306420. https://doi.org/10.1155/2022/3306420 
  21. Lee, J., Lee, J. S., Park, S.-H., Shin, S. A., & Kim, K. (2016). Cohort Profile: The National Health Insurance Service-National Sample Cohort (NHIS-NSC), South Korea. International Journal of Epidemiology, dyv319. https://doi.org/10.1093/ije/dyv319 
  22. Quan, H., Sundararajan, V., Halfon, P., Fong, A., Burnand, B., Luthi, J.-C. et al. (2005). Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data: Medical Care, 43(11), 1130-1139. https://doi.org/10.1097/01.mlr.0000182534.19832.83 
  23. Kim, K. H. (2010). Comparative Study on Three Algorithms of the ICD-10 Charlson Comorbidity Index with Myocardial Infarction Patients. Journal of Preventive Medicine and Public Health, 43(1), 42. https://doi.org/10.3961/jpmph.2010.43.1.42 
  24. KOSIS. (2022). Census of Housing Results. Statistics Korea. Available from: https://kosis.kr/visual/populationKorea/PopulationDashBoardMain.do 
  25. Lee, J. E., Choi, J., Lim, H. S., Kim, J. H., Cho, J. H., Kim, G. S. et al. (2017). The Prevalence and Incidence of Parkinson's Disease in South Korea: A 10-Year Nationwide Population-Based Study. Journal of the Korean Neurological Association, 35(4), 191-198. https://doi.org/10.17340/jkna.2017.4.1 
  26. Lee, Y. (2019). Statistics on seniors in Korea. Statistics Korea. Available from: https://kostat.go.kr/board.es?mid=a10301060500&bid=10820&tag=&act=view&list_no=377701&ref_bid= 
  27. Ministry of Health and Welfare. (2017). Senior Outpatient Copayment Improvements. https://blog.naver.com/mohw2016/221133876561 
  28. Ministry of Health and Welfare. (2024). Ministry of Health and Welfare Notice No. 2009-214_Indication for each prescription based on herbal medicines. Ministry of Health and Welfare. https://www.mohw.go.kr/board.es?mid=a10409020000&bid=0026&act=view&list_no=1481950&tag=&nPage=1 
  29. Ang, L., Lee, H. W., Kim, A., Choi, J.-Y., & Lee, M. S. (2021). Network Analysis of Herbs Recommended for the Treatment of COVID-19. Infection and Drug Resistance, 14, 1833-1844. https://doi.org/10.2147/IDR.S305176 
  30. Rogerio G. Negri. (2020). Dendrogram, Springer International Publishing, 1-3, https://doi.org/10.1007/978-3-030-26050-7_83-2