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
Bibliographic Data
| ID | 9100132 |
|---|---|
| Authors | Songthip Ounpraseuth (0000-0001-5623-0444, University of Arkansas for Medical Sciences, corresponding author), C Heath Gauss (0000-0001-9488-780X, University of Arkansas for Medical Sciences, corresponding author), Janet Bronstein (0000-0001-5365-0136, University of Alabama at Birmingham), Curtis Lowery, Curtis L Lowery (0000-0001-6027-6728, University of Arkansas for Medical Sciences), Richard Nugent (University of Arkansas for Medical Sciences), Richard W Hall (0000-0002-3264-3217, University of Arkansas for Medical Sciences), Richard Hall (0000-0001-7666-889X) |
| Year | 2012 |
| Volume | 50 |
| Issue | 4 |
| Pages | 353-360 |
| Publication date | 2012-04-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0b013e318245a128 |
| PMID | 22422056 |
| PMCID | PMC3306601 |
| OpenAlex | W2056605831 |
| Language | EN |
| Citations received | 1 |
| References cited | 32 |
OBJECTIVES: 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
Absolute risk reduction · Birth weight · Confidence interval · Environmental health · Health care · Infant mortality · Logistic regression · Low birth weight · Medicaid · Neonatal intensive care unit · Population · Pregnancy · Propensity score matching · Relative risk · Gestational Diabetes Research and Management · Internal Medicine · Maternal and Neonatal Healthcare · Medicine · Neonatal Respiratory Health Research · Surgery · Pediatrics
An Introduction to the Bootstrap
Invited Commentary
Validating recommendations for coronary angiography following acute myocardial infarction in the elderly
Stratification and weighting via the propensity score in estimation of causal treatment effects
Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group
The central role of the propensity score in observational studies for causal effects
Issues and Biases in Matching Medicaid Pregnancy Episodes to Vital Records Data
The relation of obstetrical volume and nursery level to perinatal mortality
| Citations per year | 0.1 |
|---|---|
| Citation span | 2016 - 2016 (1) |
| Highly cited | No |