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Difference in Healthcare Utilization for Percutaneous Transluminal Coronary Angioplasty Inpatients by Insurance Types: Propensity Score Matching Analysis

의료보장유형에 따른 Percutaneous Transluminal Coronary Angioplasty 입원 환자의 의료이용 차이 분석: Propensity Score Matching을 이용하여

  • Seo, Eun-Won (Department of Health Administration, Yonsei University Graduate School) ;
  • Lee, Kwang-Soo (Department of Health Administration, Yonsei University College of Health Sciences)
  • 서은원 (연세대학교 대학원 보건행정학과) ;
  • 이광수 (연세대학교 보건과학대학 보건행정학과)
  • Received : 2015.02.04
  • Accepted : 2015.03.30
  • Published : 2015.03.31

Abstract

Background: Previous studies showed differences in healthcare utilization among insurance types. This study aimed to analyze the difference in healthcare utilization for percutaneous transluminal coronary angioplasty inpatients by insurance types after controlling factors affecting healthcare utilization using propensity score matching (PSM). Methods: The 2011 national inpatient sample based on health insurance claims data was used for analysis. PSM was used to control factors influencing healthcare utilization except insurance types. Length of stay and total charges were used as healthcare utilization variables. Patients were divided into National Health Insurance (NHI) and Medical Aid (MA) patients. Factors representing inpatients (gender, age, admission sources, and Elixhauser comorbidity index) and hospitals (number of doctors, number of beds, and location of hospitals) were used as covariates in PSM. Results: Tertiary hospitals didn't show significant difference in length of stay and total charges after PSM between two insurance types. However, MA patients showed significantly longer length of stay than that of NHI patients after PSM in general hospitals. Multivariate regression analysis provided that admission sources, Elixhauser comorbidity index, insurance types, number of doctors, and location of hospitals (province) had significant influences on the length of stay in general hospitals. Conclusion: Study results provided evidences that healthcare utilization was differed by insurance types in general hospitals. Health policy makers will need to prepare interventions to influence the healthcare utilization differences between insurance types.

Keywords

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