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Table 2 Determinants of choice of a private-for profit institution in institutional deliveries: unadjusted and adjusted odds ratios from logistic regression for rural births (NFHS 2).

From: Institutional delivery in rural India: the relative importance of accessibility and economic status

Determinants   Private-for profit delivery
  n % Private delivery Unadjusted OR & 95% CIs Adjusted OR & 95% CIs Adjusted Predicted Probability (%)
Geographical Access      
Distance to private and public institutions Change in AIC due to removal of distance from model: -3.3
Both institutions are the same distance 3428 40.3 1 1 30.7
Public institution closer (by > 5 km) 255 41.6 0.92 (0.54-1.07) 1.04 (0.62-1.73) 31.5
Private institution closer (by > 5 km) 1399 49.4 1.38 (1.07-1.77) 1.11 (0.87-1.40) 32.9
Economic Status      
Wealth Quartiles Change in AIC due to removal of wealth from model: + 85.2
1 (poorest) 503 30.4 1 1 22.8
2 824 31.4 1.39 (1.05-1.84) 1.21 (0.91-1.60) 26.4
3 1240 37.5 2.07 (1.58-2.72) 1.48 (1.12-1.96) 30.6
4 (richest) 2515 51.7 4.75 (3.65-6.19) 2.97 (2.23-3.96) 46.8
Indicators of preference for place of delivery      
Maternal Education Change in AIC due to removal of maternal education from model: +31.2
None 1628 36.4 1 1 30.4
Primary 925 35.4 1.05 (0.84-1.32) 0.86 (0.68-1.08) 27.4
Secondary 1921 46.1 1.79 (1.48-2.16) 1.17 (0.95-1.45) 33.9
Higher 608 61.0 4.67 (3.57-6.34) 2.17 (1.60-2.95) 48.7
Region Change in AIC due to removal of region from model: +251.2
North 1974 43.9 1 1 40.9
East 1004 12.8 0.10 (0.07-0.14) 0.10 (0.07-0.14) 6.2
West 480 59.8 1.60 (1.17-2.19) 1.43 (1.03-1.98) 49.7
South 1624 55.2 1.61 (1.26-2.05) 1.52 (1.17-1.97) 51.2
Birth Order Change in AIC due to removal of birth order from model: +5.1
1 2098 44.0 1.26 (1.08-1.46) 1.24 (1.06-1.45) 35.4
2-3 2248 44.0 1 1 30.7
4-6 611 37.3 0.80 (0.62-1.01) 0.98 (0.76-1.26) 30.2
7 + 125 29.6 0.50 (0.30-0.83) 0.70 (0.41-1.18) 23.6
Rho (P-value)     0.41 (0.000)  
  1. Note. Significant associations (P < 0.05) are shown in bold
  2. Adjusted odds ratios are calculated by adjustment for all other factors in the model, and including random effects
  3. Akaike's Information Criterion (AIC)