title: Effect of health insurance type on health care utilization in patients with hypertension: a national health insurance database study in Korea.
abstract: BACKGROUND
  Higher utilization of healthcare services has been observed among individuals who receive public aid compared to individuals who do not receive public aid in many countries. However, no systematic investigations have explored whether this pattern of higher utilization persists after correcting for a number of factors in Korea. In this study, we sought to examine whether the type of health insurance, wage-based contributory insurance (Health Insurance, HI) or government-subsidized public assistance (Medical Aid, MA), affects the utilization of inpatient services after controlling for baseline patient and institutional characteristics among patients with hypertension in Korea.
  
  
  METHODS
  The Korean National Health Insurance claims database from 2006 and 2007 was used for analysis. To avoid biased estimates, we determined the most appropriate type of multivariate model for each outcome variable: a logistic regression model for the likelihood of hospitalization, a zero-inflated negative binomial model for the length of stay (LOS), and a generalized linear model with a log-link function for hospitalization costs.
  
  
  RESULTS
  Adjusted odds ratio (OR) and factor changes showed that MA patients (n = 21,539) had a significantly higher likelihood of hospitalization (OR: 1.41-1.71), average LOS per patient (factor change: 1.31-1.42), and hospitalization costs per patient (factor change: 1.10-1.41) compared to HI patients (n = 304,027).
  
  
  CONCLUSIONS
  The pattern of higher healthcare utilization among MA patients persists even after controlling for baseline health conditions. This finding confirms that the type of health insurance affects the utilization of healthcare resources, and suggests that effective strategies are necessary to prevent the potential overutilization of inpatient care by MA patients with hypertension in Korea.
authors.forename: Hae Sun
authors.initials: HS
authors.lastname: Suh
authors.forename: Hye-Young
authors.initials: HY
authors.lastname: Kang
authors.forename: Jinkyung
authors.initials: J
authors.lastname: Kim
authors.forename: Euichul
authors.initials: E
authors.lastname: Shin
mesh_terms: D000368:Aged; D005260:Female; D006801:Humans; D006973:Hypertension / Q000191:economics* / Q000628:therapy*; D007348:Insurance, Health / Q000191:economics*; D016014:Linear Models; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009313:National Health Programs / Q000191:economics*; D016017:Odds Ratio; D010342:Patient Acceptance of Health Care / Q000706:statistics & numerical data*; D056910:Republic of Korea; D012189:Retrospective Studies