Skip to main content
. 2013 Feb 13;48(4):1232–1255. doi: 10.1111/1475-6773.12042

Table 4.

Resource Allocation to Neonatal Discharges, by Insurance Status, in the 2006 Kids' Inpatient Database

Resource Uninsured Weighted Mean (±SE) Insured Weighted Mean (±SE) p-Value*
Total procedures, N
 All discharges 0.75 (±0.005) 0.92 (±0.001) <.001
 Discharges, died during hospitalization 1.99 (±0.10) 3.79 (±0.04) <.001
 Discharges, survived 0.74 (±0.005) 0.90 (±0.001) <.001
Adjusted length of stay, days
 All discharges 2.74 3.66 <.001
 All non-normal newborns 4.54 7.19 <.001
 Discharges, died during hospitalization 2.22 11.56 <.001
 Discharges, survived 2.75 3.62 <.001
Adjusted total hospital charges, $
 All discharges 5,401 9,556 <.001
 Discharges, died during hospitalization 24,474 82,673 <.001
 Discharges, survived 5,267 9,277 .207
Adjusted total hospital charges/day§, $
 All discharges 1,381 1,500 <.0001
 Discharges, died during hospitalization 12,677 12,890 .798
 Discharges, survived 1,354 1,475 <.0001
*

t-test; in multivariable linear regression analyses for length of stay and for total hospital charges, significance of t-test for insurance variable when included in the models described in Appendix Tables S4 and S5, respectively. Additional regressions using a Poisson distribution model for each of the procedures analyses were computed to confirm the significance of the covariate for insurance status in each.

Predictor variables in weighted multivariable linear regression model for length of stay outcome include the following: insurance status; survival, preterm, low birth weight, intrauterine growth restriction; congenital malformation; sepsis; respiratory distress syndrome; necrotizing enterocolitis; multiple birth cohort; hypoxia; intraventricular hemorrhage; maternal, placental, umbilical cord, or delivery complication; region of hospital; location of patient's county of residence; hospital; hospital bed size; and hospital location/teaching status. Full model is given in Appendix Table S4. Additional adjusted multivariable regressions using a Poisson distribution model for each of the length of stay analyses were computed to confirm the significance of the covariate for insurance status in each.

Predictor variables in weighted multivariable linear regression model for total hospital charges include insurance status, survival, length of stay in days, and hospital. Full model is given in Appendix Table S5.

§

Adjusted for hospital dummy variable.

SE, standard error.