Sentence examples for delivery in tables from inspiring English sources

The logistic regression coefficient for predicting the mode of delivery in Tables  5 & 6 showed that the parity, maternal height, maternal weight, birth weight, previous caesarean section and ante-partum bleeding were significant risk factors for caesarean section.

The random effect is significant for the community but insignificant for the mother, suggesting that there are unobserved community characteristics that influence facility delivery In Table  2 we test the influence of sisters' (Model 3) and sisters-in-laws' facility delivery experience (Model 4).

We used this percentage to calculate the number of expected institutional deliveries: 41% of the 18,664 estimated total deliveries, giving 7644 expected institutional deliveries as in Table 2.

The incidence and crude and adjusted RRs of maternal and neonatal outcomes according to mode of delivery are listed in Tables  1 and 2. Outcomes varied substantially by mode of delivery and some of them were obviously associated with only one mode of delivery (e.g. III-IV degree perineal tears).

Data about the occiput and spinal positions detected at the beginning and second stages of the labour and the occiput position at delivery were reported in Tables 2 and 3.

Health facility data on health service delivery is described in Tables  1 and 2. Individual hospital trends as well as the district trend (thick, black line) can be seen for the six key variables.

Data on incidence of deliveries and on percentage of hospital deliveries is presented in Tables  5 and 6.

The breakdown of ENC practices by TBA attendance for home non-SBA deliveries is given in Tables  6 and 7. Practices where there was at least a 10 percentage point difference between TBA and non TBA deliveries are highlighted in bold font.

For those who participated in NCMS, the total costs, NCMS reimbursement and household out-of-pocket payment for vaginal delivery and caesarean delivery were described in Table 3.

The effect of biological and anthropometric factors of CD4 count, viral load, BMI, presence of opportunistic and reproductive tract infections at delivery on preterm delivery is summarized in Table 2.

Two studies (Mohanty et al. 2002; Semenza et al. 1998) were conducted in previously described distribution systems with intermittencies in delivery (Tables 1 and 3), and one (Egorov et al. 2002) was conducted in a system serving conventionally treated and chlorinated groundwater via a network with variable water pressure in different parts but no reported pressure loss events.