보건행정학회지 (Health Policy and Management)

  • 제26권4호
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  • Pages.343-351
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  • 2016
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  • 1225-4266(pISSN)
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  • 2289-0149(eISSN)
한국보건행정학회 (Korean Academy of Health Policy and Management)
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의료보장유형이 심부전 입원 환자의 의료서비스 이용에 미친 영향분석: Propensity Score Matching 방법을 사용하여

The Effects of Insurance Types on the Medical Service Uses for Heart Failure Inpatients: Using Propensity Score Matching Analysis

  • 최소영 (연세대학교 대학원 보건행정학과) ;
  • 곽진미 (연세대학교 대학원 보건행정학과) ;
  • 강희정 (한국보건사회연구원) ;
  • 이광수 (연세대학교 보건과학대학 보건행정학과)
  • Choi, Soyoung (Department of Health Administration, Yonsei University Graduate School) ;
  • Kwak, Jin-Mi (Department of Health Administration, Yonsei University Graduate School) ;
  • Kang, Hee-Chung (Korea Institute for Health and Social Affairs) ;
  • Lee, Kwang-Soo (Department of Health Administration, Yonsei University College of Health Sciences)
  • 투고 : 2016.08.24
  • 심사 : 2016.10.17
  • 발행 : 2016.12.31
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초록

Background: This study aims to analyze the effects of insurance types on the medical service uses for heart failure inpatients using propensity score matching (PSM). Methods: 2014 National inpatient sample based on health insurance claims data was used in the analysis. PSM was applied to control factors influencing the service uses except insurance types. Negative binomial regression was used after PSM to analyze factors that had influences on the service uses among inpatients. Subjects were divided by health insurance type, national health insurance (NHI) and medical aid (MA). Total charges and length of stay were used to represent the medical service uses. Covariance variables in PSM consist of sociodemographic characteristics (gender, age, Elixhauser comorbidity index) and hospital characteristics (hospital types, number of beds, location, number of doctors per 50 beds). These variables were also used as independent variables in negative binomial regression. Results: After the PSM, length of stay showed statistically significant difference on medical uses between insurance types. Negative binomial regression provided that insurance types, Elixhauser comorbidity index, and number of doctors per 50 beds were significant on the length of stay. Conclusion: This study provided that the service uses, especially length of stay, were differed by insurance types. Health policy makers will be required to prepare interventions to narrow the gap of the service uses between NHI and MA.

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참고문헌

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