Difference in Healthcare Utilization for Percutaneous Transluminal Coronary Angioplasty Inpatients by Insurance Types: Propensity Score Matching Analysis.
10.4332/KJHPA.2015.25.1.3
- Author:
Eun Won SEO
1
;
Kwang Soo LEE
Author Information
1. Department of Medical Care and Hospital Administration, Hallym Polytechnic University, Chuncheon, Korea.
- Publication Type:Original Article
- Keywords:
Angioplasty, balloon, coronary;
Healthcare utilization;
Insurance type;
Propensity score matching
- MeSH:
Angioplasty, Balloon, Coronary*;
Comorbidity;
Delivery of Health Care*;
Health Policy;
Hospitals, General;
Humans;
Inpatients*;
Insurance*;
Insurance, Health;
Length of Stay;
National Health Programs;
Propensity Score*;
Regression Analysis;
Tertiary Care Centers
- From:Health Policy and Management
2015;25(1):3-10
- CountryRepublic of Korea
- Language:Korean
-
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.
