Table 14. Regression coefficients from multiple regression on log-transformed charges, payments, and length of stay for delivery hospitalization: California Medicaid, October 1983.
Independent variable1 | Charges | Medicaid payments | Length of stay |
---|---|---|---|
Infant morbidity | |||
Birth weight: | |||
Less than 1,500 grams | ***1.60 | ***1.50 | ***1.05 |
1,500-2,499 grams | 0.59 | 0.68 | 0.63 |
Infant transported | ***0.79 | ***0.72 | ***0.28 |
Congenital malformations: | |||
1 | ***0.31 | ***0.28 | **0.23 |
2 or more | **0.42 | *0.35 | 0.22 |
Maternal morbidity | |||
Labor and delivery complications: | |||
1 | ***0.18 | ***0.15 | ***0.13 |
2 or more | ***0.26 | ***0.20 | ***0.21 |
Pregnancy complications and concurrent illnesses: | |||
1 | ***0.13 | ***0.13 | ***0.10 |
2 or more | 0.24 | 0.14 | 0.10 |
Cesarean versus vaginal delivery | ***0.66 | ***0.58 | ***0.53 |
Urban versus rural residence of mother | ***0.12 | 0.05 | **0.08 |
Hospital characteristics | |||
Ownership: | |||
Government | ***−0.12 | 0.01 | ***−0.06 |
Proprietary | 0.00 | ***0.09 | −0.03 |
Level of care: | |||
Level III | ***0.25 | ***0.18 | ***0.13 |
Level II | ***0.08 | ***0.24 | ***0.06 |
Maintenance assistance status | |||
Medically needy | ***−0.07 | ***−0.10 | ***−0.05 |
All others | −0.04 | *−0.06 | −0.02 |
Adjusted R2 | 0.3372 | 0.2967 | 0.2704 |
Statistically significant at the p ≤ 0.05 level.
Statistically significant at the p ≤ 0.01 level.
Statistically significant at the p ≤ 0.001 level.
Reference categories for sets of dummy variables: birth weight: 2,500 grams or more; labor and delivery complications: 0; pregnancy complications and concurrent illnesses: 0; congenital malformations: 0; hospital ownership: private, nonprofit; hospital level of care: Level I; and maintenance assistance status: cash assistance.
NOTE: Hospital level of care is defined as follows: Level I, uncomplicated deliveries; Level II, majority of complicated deliveries and some neonatal complications; and Level III, all serious types of fetal and neonatal illnesses and abnormalities.