Journal of Evidence Based Health Policy, Management & Economics (Mar 2021)
Comparison of Factors Associated with the Neonatal Mortality Rate in Fars Province before and after Implementing the Health Section Evolution: A Retrospective Cross-Sectional Study
Abstract
Background: The neonatal period or the first 28 days after birth is a critical and vulnerable time for a child period, and the mortality rate is high due to the severe problems which might happen during this period. The goal of this study was to compare the risk factors associated with the neonatal mortality rate (NMR) before and after the implementation of the health sector evolution plan (HSEP) in Fars Province, Iran. Methods: This study was a retrospective cross-sectional study. This research was conducted using the census method, and 275951 newborns’ files were studied. Variables are expressed as percentage and frequency. The chi-square test and Fisher tests was used to measure the significance level of variables. A multivariate logistic regression model was also used to estimate the odds ratio of neonatal mortality and risk factors associated with neonatal mortality. All statistical tests were performed bilaterally with P-value 0.05). Conclusion: Neonates with abnormal weight and premature neonates had the highest chance of death. Therefore, the prevention of preterm labor and low-birth-weight infants are essential factors in reducing neonatal mortality. This study suggests that improved health service quality is determinative to decrease neonatal mortality rate.