Research Article

Comparison of Bayesian and Classical Methods for Exploring the Important Factors regarding Maternal and Child Health Care

Table 4

ORs for different output variables under Bayesian logistic regression models.

FactorsProtection against neonatal tetanusCounseling during the pregnancyDelivery in the health facilityDelivery by a skilled providerPostnatal checkupSkilled postnatal checkupPostnatal checkup of newbornsSkilled postnatal checkup of newbornsAt least one signal performed for newbornsAt least one problem

MAB
 <201.1260.9631.3651.3251.0431.1881.0651.1201.0790.464
 20–341.8201.1001.4371.4681.4741.5381.4421.5681.3720.680
 35–49 (R)1111111111

BO
 12.2661.4763.7073.6712.7533.2612.3972.8892.2760.668
 2–32.3641.7502.2832.2792.4122.7241.9172.1792.0380.764
 4–51.8881.4501.3061.3111.7271.8971.4401.5271.5240.791
 5 and above (R)1111111111

RES
 Urban (R)1111111111
 Rural0.4320.5140.3380.3890.3780.3570.3950.3700.4082.636

Education
 No education0.1130.2000.0810.0790.1610.1210.1680.1350.2143.344
 Primary0.3570.3680.1550.1520.2880.2640.3130.2640.3412.305
 Middle0.5600.6710.2670.2540.3870.3670.4570.3910.4781.613
 Secondary0.6880.7830.4680.4940.7400.6980.8340.7680.8931.702
 Higher (R)1111111111

WQ
 Lowest0.0900.1620.0640.0620.1180.0970.1210.1010.1974.192
 Second0.1800.2100.1010.0990.1320.1160.1430.1300.1504.065
 Middle0.2800.4170.1890.1900.2120.2000.2350.2290.2442.690
 Fourth0.5250.5780.3800.3910.4100.4310.4420.4250.4611.474
 Highest (R)1111111111

Region
 Punjab0.8070.7830.4090.3710.5530.5550.6230.6220.7061.428
 Sindh0.4150.3440.4700.4430.6840.6020.8460.7370.7491.356
 KPK0.3660.2570.2990.3090.2110.2110.2140.2110.1642.432
 Balochistan0.0940.2370.0980.0930.1720.1360.1480.1360.1234.229
 FATA0.1600.1070.1790.1620.1330.1510.1780.1930.1275.581
 AJK0.8250.8210.3050.2670.3810.3710.4170.3790.4972.225
 Gilgit Baltistan0.4590.3350.3060.2700.1830.2110.1770.2060.2132.596
 Islamabad (R)1111111111