Table 4. Adjusted odds ratios (95% CI) for the association between clean delivery kit use and hand washing, with maternal mortality obtained from logistic regression models with and without multiple imputation.
Clean delivery practices | Model type | Pooled data | India | Bangladesh | Nepal | ||||
---|---|---|---|---|---|---|---|---|---|
AOR (95% CI) | p a | AOR (95% CI) | p a | AOR (95% CI) | p a | AOR (95% CI) | p a | ||
Use of clean delivery kit | Logistic regression b , e | 1.26 (0.62–2.56) | 0.519 | 0.66 (0.15–2.93) | 0.587 | 1.61 (0.71–3.68) | 0.256 | f | |
Multiple imputation c , e | 1.18 (0.62–2.24) | 0.612 | 0.68 (0.15–2.99) | 0.605 | 1.45 (0.63–3.30) | 0.381 | f | ||
Washing hands prior to delivery | Logistic regression b | 0.51 (0.28–0.93) | 0.028 | 0.15 (0.02–1.11) | 0.063 | 0.57 (0.27–1.23) | 0.154 | 0.83 (0.19–3.56) | 0.800 |
Multiple imputation c , d | 0.48 (0.26–0.90) | 0.022 | 0.15 (0.02–1.13) | 0.066 | 0.58 (0.27–1.25) | 0.162 | 0.91 (0.23–3.65) | 0.898 |
a Wald test.
b Adjusted for maternal age, maternal education, parity, number of antenatal care visits, household assets, and for the pooled analysis, study site.
c Multiple imputation models taking into account variables describe in b, as well as predictors of missingness including obstetric haemorrhage, and skilled birth attendant
d Multiple imputation models also included clean delivery kit use as predictor of missingness.
e It was not possible to include Nepal in the pooled analysis of kit use due to convergence issues caused by large numbers of missing/unknown data.
f Model would not converge due large number of deliveries with missing/unknown data on kit use