Fig 1.
Flowchart displaying the various criteria applied to the initial database to obtain the final number of hospital records available for the analysis.
Fig 2.
Conceptual framework explaining the relationship between various determinants and LoS.
Table 1.
Distribution of length of stay (LoS, in days) after cesarean section (CS) by calendar year and hospital: number (N), percentage (%); mean LoS ± standard deviation (SD; Misa = missing values on all births; Misb = missing values considering only CS.
Table 2.
Distribution of length of stay (LoS, in days) after cesarean section (CS) by maternal health factors.
Number (N), percentage (%); mean LoS ± standard deviation (SD; Mis a = missing values on all births; Mis b: missing values considering only CS.
Table 3.
Distribution of length of stay (LoS, in days) after cesarean section (CS) by clinical factors of the newborn.
Number (N), percentage (%); mean LoS ± standard deviation (SD); SGA = Small for gestationl age; AGA = appropriate for gestational age; LGA = large for gestational age. Mis a = missing values on all births; Mis b = Missing values considering only CS.
Table 4.
Distribution of length of stay (LoS, in days) after cesarean section (CS) by socio demographic and obstetric history factors.
Number (N), percentage (%); mean LoS ± standard deviation (SD); Mis a: missing values on all births; Mis b: missing values considering only CS. Self-e = self-employed.
Fig 3.
Scatter plot displaying the adjusted odds ratios (OR) with 95% confidence intervals (95%CI) of LoS surpassing the ED (4 days) for caesarean sections, by facility centre and calendar year.
Table 5.
Multivariable logistic and linear regression model on length of stay (LoS, in days) following cesarean section (CS).
24,729 (complete case) observations. Adjusted regression coefficients (aRC)# and adjusted odds ratios (aOR)$, with 95% confidence interval (95%CI); population attributable risk (PAR-1* and PAR-2**) with 95%CI.