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Outcomes Analysis for Western Medicine and Korean Medicine Using the Propensity Score Matching in Allergic Rhinitis: Data from the Health Insurance Review and Assessment Service

알레르기 비염에서 성향 점수 매칭을 이용한 의과·한의과 간 성과 분석: 건강보험심사평가원 청구 자료 이용

  • Kang, Chae-Yeong (Department of Statistics, Daegu University) ;
  • Kim, Hui-Jun (Department of Statistics, Daegu University) ;
  • Kim, Jeong-Hun (Evidence-based Healthcare Research Collaborating Center, Woosuk University) ;
  • Hwang, Jin-Seub (Division of Mathematics and big data science, Daegu University) ;
  • Lee, Dong-Hyo (Department of Opthalmology, Otolaryngology and Dermatology, College of Oriental Medicine, Woosuk University)
  • 강채영 (대구대학교 통계학과) ;
  • 김희준 (대구대학교 통계학과) ;
  • 김정훈 (우석대학교 근거중심보건의료연구협력센터) ;
  • 황진섭 (대구대학교 수리빅데이터학부) ;
  • 이동효 (우석대학교 한의과대학 한방안이비인후피부과)
  • Received : 2021.04.02
  • Accepted : 2021.05.01
  • Published : 2021.05.25

Abstract

Objectives : The purpose of this study is to analyze the effects of treatment between Western medicine and Korean medicine on Allergic rhinitis patients using national population-based claim data from the Health Insurance Review and Assessment Service. Methods : The subjects of the study were 30,024 patients in the Korean medicine group and 30,024 in the Western medicine group who were diagnosed with Allergic rhinitis from September 1, 2018 to December 31, 2018. Propensity score analysis was used for matching age, sex, etc. at a ratio of 1:1. Cox regression and subgroup analysis were used to estimate the adjusted hazard ratio of recurrence, Asthma, and Atopic dermatitis in Korean medicine group and Western medicine group. In addition, the total treatment period, total treatment cost, and average cost per day of visit were compared and analyzed. Results : Compared to Korean medicine, Western medicine had a significantly higher risk of recurrence at 1.701 times, Asthma occurrence risk at 1.609 times and Atopic dermatitis occurrence risk at 1.098 times. Compared to Western medicine, the total treatment period of Korean medicine was 14.27 days longer, the total treatment cost was 53,591 won more, and the average cost per day was 7,539 won more. Conclusions : This study is a retrospective cohort study using the propensity score matching in Korea to compare the outcomes of Allergic rhinitis between Western medicine and Korean medicine. Further research is needed by considering patients characteristics, and linking with additional data.

Keywords

Acknowledgement

본 연구는 한국보건산업진흥원을 통해 보건복지부 「한의약선도기술개발사업」의 재정 지원을 받아 수행된 연구임(HB16C0009).

References

  1. Zhang Y, Zhang L. Increasing Prevalence of Allergic Rhinitis in China. Allergy Asthma Immunol Res. 2019;11(2):156-69. https://doi.org/10.4168/aair.2019.11.2.156
  2. Hsieh SP, Hsieh CJ, Tseng CC, Yiin LM. Allergic Rhinitis: Association with Air Pollution and Weather Changes, and Comparison with That of Allergic Conjunctivitis in Taiwan. Atmosphere. 2020;11(1152):1-10.
  3. Lee DH. A Review of Economic Evaluations in Acupuncture for Allergic Rhinitis. J Korean Med Ophthalmol Otolaryngol Dermatol. 2016;29(2):1-11. https://doi.org/10.6114/jkood.2016.29.2.001
  4. National Health Insurance Service. 2021[cited 2021 Mar 28]. Available from : URL:https://www.nhis.or.kr/nhis/together/wbhaea01600m01.do?mode=view&articleNo=136900&article.offset=260&articleLimit=10
  5. Jang EJ. Healthcare Bigdata Utilization Plan-Focused on Outcomes Research. Health Insurance Review & Assessment. 2017;11(1):8-16.
  6. Jang EJ, Ahn J, Jung SY, Hwang JS, Lee JY, Shim JI. Methods for Control of Measured Confounders in Outcomes Research. National Evidence-based Healthcare Collaborating Agency. 2013:256.
  7. Kim LY, Sakong J, Kim Y, Kim SR, Kim SK, Tchoe BH, et al. Developing the Inpatient Sample for the National Health Insurance Claims Data. Health Policy and Management. 2013;23(2):152-61. https://doi.org/10.4332/KJHPA.2013.23.2.152
  8. Park HY, Shin YS, Bae HJ, Kim SD, Ha JS. Constructing Episodes of Care from Health Insurance Claims Data. The Korean Society of Environmental Toxicology. 2013;5:155-6.
  9. Normand ST, Landrum MB, Guadagnoli E, Ayanian JZ, Ryan TJ, Cleary PD, et al. Validating recommendations for coronary angiography following acute myocardial infarction in the elderly: a matched analysis using propensity scores. Journal of clinical epidemiology. 2001;54(4):387-98. https://doi.org/10.1016/S0895-4356(00)00321-8
  10. Austin PC, Mamdani MM. A comparison of propensity score methods: a case-study estimating the effectiveness of post-AMI statin use. Statistics in medicine. 2006;25(12):2084-106. https://doi.org/10.1002/sim.2328
  11. Sundararajan V, Henderson T, Perry C, Muggivan A, Quan H, Ghali WA. New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality. Journal of clinical epidemiology. 2004;57(12):1288-94. https://doi.org/10.1016/j.jclinepi.2004.03.012