The Effects of Insurance Types on the Medical Service Uses for Heart Failure Inpatients: Using Propensity Score Matching Analysis.
10.4332/KJHPA.2016.26.4.343
- Author:
Soyoung CHOI
1
;
Jin Mi KWAK
;
Hee Chung KANG
;
Kwang Soo LEE
Author Information
1. Department of Health Administration, Yonsei University Graduate School, Wonju, Korea.
- Publication Type:Original Article
- Keywords:
Heart failure;
Insurance type;
Medical service uses;
Propensity score matching
- MeSH:
Comorbidity;
Health Policy;
Heart Failure*;
Heart*;
Humans;
Inpatients*;
Insurance*;
Insurance, Health;
Length of Stay;
National Health Programs;
Propensity Score*
- From:Health Policy and Management
2016;26(4):343-351
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
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.
