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. Author manuscript; available in PMC: 2017 Apr 1.
Published in final edited form as: Women Health. 2015 Sep 11;56(3):257–280. doi: 10.1080/03630242.2015.1088114

Results from Multivariable model for baby outcomes in Hawai‘i Delivery-Related Hospitalizations, 2012 (n=11,546)1,2

Birth Trauma- Injury to
Neonate
Premature Low Birth Weight High Birth Weight
RR [95% CI] RR [95% CI] RR [95% CI] RR [95% CI]
LEP 1 1
Yes vs. No 0.72 [0.16, 3.25] 1.08 [0.90, 1.30] 1.11 [0.85, 1.45] 0.72 [0.52, 1.00]
Age, years
<18 vs. 35+ 2.70 [0.31, 23.7] 1.12 [0.71, 1.75] 1.64 [1.07, 2.52] 0.37 [0.15, 0.90]
18–34 vs. 35+ 1.18 [0.47, 2.97] 0.89 [0.79, 1.01] 0.83 [0.72, 0.96] 1.00 [0.84, 1.20]
Payer
DOD vs. private 1.32 [0.29, 6.11] 0.79 [0.56, 1.12] 0.97 [0.69, 1.37] 0.96 [0.70, 1.32]
Public vs. private 0.90 [0.39, 2.06] 1.09 [0.97, 1.24] 1.10 [0.95, 1.27] 0.87 [0.74, 1.01]
Self Pay vs. private 0.00 [0.00, 0.00] 1.07 [0.62, 1.87] 0.49 [0.20, 1.20] 0.95 [0.50, 1.80]
High Risk
Yes vs. No 2.82 [1.34, 5.92] 2.59 [2.27, 2.96] 3.04 [2.63, 3.51] 1.41 [1.23, 1.62]
Hospital
rural vs. urban 0.66 [0.16, 2.79] 0.73 [0.57, 0.92] 0.96 [0.76, 1.21] 0.78 [0.61, 1.01]
Race/Ethnicity 1 1 1
Chinese vs. White 0.76 [0.09, 6.35] 0.87 [0.60, 1.27] 1.42 [0.98, 2.05] 0.50 [0.32, 0.79]
Filipino vs. White 0.99 [0.34, 2.85] 1.44 [1.20, 1.73] 1.88 [1.52, 2.31] 0.34 [0.26, 0.44]
Hawaiian vs. White 0.69 [0.22, 2.16] 1.25 [1.04, 1.51] 1.15 [0.92, 1.45] 0.89 [0.73, 1.09]
Japanese vs. White 0.69 [0.17, 2.79] 1.13 [0.91, 1.40] 1.33 [1.04, 1.70] 0.31 [0.22, 0.44]
Micronesian vs. White 1.88 [0.33, 10.8] 1.39 [1.07, 1.81] 1.56 [1.11, 2.20] 0.97 [0.66, 1.42]
Other vs. White 0.48 [0.10, 2.31] 0.90 [0.70, 1.15] 1.09 [0.83, 1.43] 0.66 [0.51, 0.86]
Other PI vs. White 0.92 [0.18, 4.63] 1.45 [1.13, 1.86] 1.12 [0.81, 1.57] 1.73 [1.38, 2.18]
Multiple gestation
Yes vs. No 2.82 [1.34, 5.92] 2.59 [2.27, 2.96] 3.04 [2.63, 3.51] 1.41 [1.23, 1.62]
1

Indicates that this set of variables is significant overall in multivariable models at p<.05.

2

Models adjusted for race/ethnicity, age group, payer, rural vs. urban hospital location, high-risk pregnancy, and multiple gestation.