title: Evaluating the effect of hospital and insurance type on the risk of 1-year mortality of very low birth weight infants: controlling for selection bias.
abstract: OBJECTIVE
  We examined the effect of hospital type and medical coverage on the risk of 1-year mortality of very low birth weight (VLBW) infants while adjusting for possible selection bias.
  
  
  METHODS
  The study population was limited to singleton live birth infants having birth weight between 500 and 1500 g with no congenital anomalies who were born in Arkansas hospitals between 2001 and 2007. Propensity score (PS) matching and PS covariate adjustment were used to mitigate selection bias. In addition, a conventional multivariable logistic regression model was used for comparison purposes.
  
  
  RESULTS
  Generally, all 3 analytical approaches provided consistent results in terms of the estimated relative risk, absolute risk reduction, and the number needed to treat. Using the PS matching method, VLBW infants delivered at a hospital with a neonatal intensive care unit (NICU) were associated with a 35% relative decrease (95% bootstrap confidence interval, 18.5%-48.9%) in the risk of 1-year mortality as compared with those infants delivered at non-NICU hospitals. Furthermore, our results showed that on average, 16 VLBW infants (95% bootstrap confidence interval, 11-32), would need to be delivered at a hospital with an NICU to prevent 1 additional death at 1 year. However, there was not a difference in the risk of 1-year mortality between VLBW infants born to Medicaid-insured versus non-Medicaid-insured women.
  
  
  CONCLUSIONS
  Estimated relative risk of infant mortality was significantly lower for births that occurred in hospitals with an NICU; therefore, greater efforts should be made to deliver VLBW neonates in an NICU hospital.
authors.affiliation: Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA. stounpraseuth@uams.edu
authors.forename: Songthip
authors.initials: S
authors.lastname: Ounpraseuth
authors.forename: C Heath
authors.initials: CH
authors.lastname: Gauss
authors.forename: Janet
authors.initials: J
authors.lastname: Bronstein
authors.forename: Curtis
authors.initials: C
authors.lastname: Lowery
authors.forename: Richard
authors.initials: R
authors.lastname: Nugent
authors.forename: Richard
authors.initials: R
authors.lastname: Hall
mesh_terms: D001131:Arkansas / Q000453:epidemiology; D001724:Birth Weight; D005260:Female; D006761:Hospitals / Q000706:statistics & numerical data*; D006801:Humans; D007223:Infant; D007226:Infant Mortality; D007231:Infant, Newborn; D019102:Infant, Very Low Birth Weight; D007348:Insurance, Health / Q000706:statistics & numerical data*; D007363:Intensive Care Units, Neonatal / Q000706:statistics & numerical data; D016015:Logistic Models; D008297:Male; D015233:Models, Statistical; D057216:Propensity Score; D012306:Risk; D012307:Risk Factors; D015983:Selection Bias