Efficiency Analysis of Specialists by Medical Specialty using Activity-Based Costing Data: Using the DEA-CCR model and SBM model

활동기준 원가 자료를 활용한 과별 전문의의 효율성 분석 : DEA-CCR 모형과 SBM 모형을 이용

  • Do Won Kim (Department of Medical -aw and Ethics, Graduate School, Yonsei University) ;
  • Tae Hyun Kim (Department of Healthcare Management, Graduate School of Public Health, Yonsei University)
  • 김도원 (연세대학교 대학원 의료법윤리학과) ;
  • 김태현 (연세대학교 보건대학원 의료경영학과)
  • Received : 2023.05.24
  • Accepted : 2023.06.23
  • Published : 2023.06.30

Abstract

Purposes: As super-aging population and low fertility rates are threatening the sustainability of the National Health Insurance funds, enhancing the efficiency of hospital management is paramount. In the past, studies analyzing the efficiencies of hospitals primarily made inter-hospital comparisons, but it is important to assess hospitals' internal efficiency and develop improvement measures in order to attain practical improvements in hospital efficiencies. The purpose of this study is to analyze the efficiencies of specialists by medical specialty in a hospital in order to provide foundational data for efficient hospital management. Methodology/Approach: We used the activity-based costing (ABC) data and hospital statistical data from one tertiary hospital in Seoul to analyze the efficiency of specialists by medical specialty. Efficiency was analyzed and compared among specialists using the data envelopment analysis developed by Charnes, Cooper, and Rhodes (DEA-CCR) model and the slacks-based measure (SBM) models. The input variables were labor cost, material cost, and operational expenses, and the output variables were the number of outpatients, number of inpatients, outpatient revenue, and inpatient revenue. Findings: First, there was a marked deviation in efficiency across specialists. Second, there was a marked deviation in efficiency across medical specialties. Third, there was little difference in efficiency according to the specialist's sex, age, and job position. Fourth, the SBM model produced more conservative results and better explained efficiency parameters than the CCR model. Practical Implications: The efficiency of a specialist was more influenced by their medical specialty than their personal characteristics, namely sex, age, and job position. Therefore, Further research is needed to analyze the efficiencies of each subspecialty and identify factors that contribute to the variations in efficiencies across medical specialties, such as clinical practices and fee structures.

Keywords

References

  1. 보건복지부, 「국민보건계정」, 2021, 2023.05.18, GDP 대비 경상의료비 비율, https://kosis.kr/statHtml/statHtml.do?orgId=117&tblId=DT_11768_2009NN4&conn_path=I2
  2. UN 「https://population.un.org/wpp, World Population Prospects 2022」 2022. 7, https://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_2KAA207_OECD&conn_path=I2
  3. Yang JH, Chang DM. A Study on Analyzing the Efficiency between National and Private University Hospitals. The Korean Journal of Health Economics and Policy 2009;15(2):94-122.
  4. 국민건강보험공단(2022). 2021 건강보험 주요통계.
  5. Park BS, Lee YK, Kim YS. Efficiency Evaluation of General Hospitals using DEA. The Journal of the Korea Contents Association 2009;9(4):299-312. https://doi.org/10.5392/JKCA.2009.9.4.299
  6. Sherman HD. Hospital efficiency measurement and evaluation. Empirical test of a new technique. Medical Care 1984;22(10):922-938. https://doi.org/10.1097/00005650-198410000-00005
  7. Shim GH, Moon KJ, Lee GS. Managerial Efficiency & Productivity Growth Analysis of Tertiary and General Hospitals in Korea: DEA & Malmquist Productivity Index Model Approac. The Korean Journal of Health Service Managemen 2015;9(3):43-55. https://doi.org/10.12811/kshsm.2015.9.3.043
  8. Yoon KS, Shin SK, Han HN. Analyzing Private University Hospitals Management Efficiency in Korea : A DEA Approach. Korean Business Education Review 2009;55(1):143-167.
  9. Jang CY, Sung DK, Choi IK. Efficiency Evaluation on Korea Local Medical Centers to Organization Management by Using Post-DEA Method. Korean Public Administration 2uarterly 2007;19(4):1119-1146.
  10. Lee JY, Kim Y. Evaluating Efficiency of Local Public Hospitals in Korea :A Static and Dynamic Analysis Using DEA Models. Korean Society and Public Administration 2008;19(1):193-212.
  11. Yoo KR. Evaluating the Operational Efficiency of Local Medical Centers in Korea. Korean Institute of Public Affairs 2009;47(3):385-413.
  12. Kim YT, Shin DM. A Study on the Performance Evaluation of the Local Public Medical Centers. Korean Journal of Policy Analysis and Evaluation 2009;19(4):233-256. https://doi.org/10.23036/KAPAE.2009.19.4.010
  13. Kim JK, Jeon JH. Static and Dynamic Analysis of Efficiency of Korean Regional Public Hospitals. Korean Journal of Hospital Management 2010;15(1):27-48.
  14. Yang DH. Analysis on the Difference in Efficiencies between Environmental Factors of Regional Public Hospitals in Korea using Super-Efficiency Model. The Journal of the Korea Contents Association 2012;12(7):284-294. https://doi.org/10.5392/JKCA.2012.12.07.284
  15. Coelli, T., Rao, D. S. P., O'Donnell, C. J., & Battese, G. E. (2005). An Introduction to Efficiency and Productivity Analysis (2 ed.): Springer.
  16. Yoon HY. A Study on the Efficiency Evaluation of the Public Libraries. Journal of Information Management 2010;41(3):67-84. https://doi.org/10.1633/JIM.2010.41.3.067
  17. Baek JH. Efficiency Analysis of Defense Industry Company Using DEA and Super-SBM. Journal of Korea Academia-Industrial cooperation Society 2020;21(8):130-139.
  18. Lim SM. A Method for Selection of Input-Output Factors in DEA. IE interfaces 2009;22(1):44-55.
  19. Charnes A, Cooper WW, Rhodes E. Evaluating program and managerial efficiency: an application of data envelopment analysis to program follow through. Manage Sci 1981;27(6):668-697. https://doi.org/10.1287/mnsc.27.6.668
  20. Yum DK, Sin HD. Relative Efficiency of Research and Development Business Foundations through Data Envelopment Analysis. Korean Institute of Public Affairs. 2013;51(1):293-319.
  21. Jeon, Y. I., et al. (2013). Analysis of Efficiencies of Korea's Domestic Airports With Radial and Non-radial Approaches. Journal of Korean Society of Transportation 31(2): 11-19. https://doi.org/10.7470/jkst.2013.31.2.011
  22. Kohl, S., et al. (2019). The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals. Health care management science 22: 245-286. https://doi.org/10.1007/s10729-018-9436-8
  23. Nakata Y, Yoshimura T, Watanabe Y, Otake H, Oiso G, Sawa T. Resource utilization in surgery after the revision of surgical fee schedule in Japan. Int J Health Care 2ual Assur 2015;28(6):635-643. https://doi.org/10.1108/IJHCQA-01-2015-0002
  24. Testi A, Fareed N, Ozcan YA, Tanfani E. Assessment of physician performance for diabetes: a bias-corrected data envelopment analysis model. 2ual Prim Care 2013;21(6):345-357.
  25. Feng 2, Antony J. Integrating DEA into Six Sigma methodology for measuring health service efficiency. J Oper Res Soc 2010;61:1112-1121. https://doi.org/10.1057/jors.2009.61
  26. Chilingerian JA. Evaluating physician efficiency in hospitals: A multivariate analysis of best practices. Eur J Oper Res 1995;80(3):548-574. https://doi.org/10.1016/0377-2217(94)00137-2
  27. Eisenberg JM. Doctors' decisions and the cost of medical care: the reasons for doctors' practice patterns and ways to change them. 1986.
  28. Jung YH, Lee SH. The impact of Workforce Aging on Labor Productivity: Using the Regional Panel Dataset in Korea. J Digit Convergence 2019;17(11):1-7.
  29. Kim MJ. An Exploratory Study on the Meaning of 'the Patient Trusts the Doctor'. The Journal of the Korea Contents Association 2017;17(6):415-423. https://doi.org/10.5392/JKCA.2017.17.06.415
  30. Lee TH, Yeo GT. Efficiency Analysis of Ocean Shipping Lines Using Non Radial DEA Model. Journal of Korea Port Economic Association 2015;31(1):37-49.