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. 2022 May 18;12(5):e054975.
doi: 10.1136/bmjopen-2021-054975.

Perinatal mortality and its predictors in Kersa Health and Demographic Surveillance System, Eastern Ethiopia: population-based prospective study from 2015 to 2020

Merga Dheresa  1 , Gamachis Daraje  2 , Gelana Fekadu  1 , Galana Mamo Ayana  3 , Bikila Balis  1 , Belay Negash  3 , Temam Beshir Raru  3 , Yadeta Dessie  3 , Addisu Alemu  3 , Bedasa Taye Merga  4
Affiliations

Perinatal mortality and its predictors in Kersa Health and Demographic Surveillance System, Eastern Ethiopia: population-based prospective study from 2015 to 2020

Merga Dheresa et al. BMJ Open. .

Abstract

Objective: Perinatal mortality is an important outcome indicator for newborn care and directly mirrors the quality of prenatal, intra partum and newborn care. Therefore, this study was aimed at estimating perinatal mortality and its predictors in Eastern Ethiopia using data from Kersa Health and Demographic Surveillance System (KHDSS).

Design, settings and participants: An open dynamic cohort design was employed among pregnant women from 2015 to 2020 at KHDSS. A total of 19 687 women were observed over the period of 6 years, and 29 719 birth outcomes were registered.

Outcome measures: Perinatal mortality rate was estimated for each year of cohort and the cumulative of 6 years. Predictors of perinatal mortality are identified.

Results: From a total of 29 306 births 783 (26.72 deaths per 1000 births; 95% CI 24.88 to 28.66) deaths were occurred during perinatal period. Rural residence (adjusted OR (AOR)=3.43; 95% CI 2.04 to 5.76), birth weight (low birth weight, AOR=3.98; 95% CI 3.04 to 5.20; big birth weight, AOR=2.51; 95% CI 1.76 to 3.57), not having antenatal care (ANC) (AOR=1.67; 95% CI 1.29 to 2.17) were associated with higher odds of perinatal mortality whereas the parity (multipara, AOR=0.46; 95% CI 0.34 to 0.62; grand multipara, AOR=0.31; 95% CI 0.21 to 0.47) was associated with lower odds of perinatal mortality.

Conclusions: The study revealed relatively high perinatal mortality rate. Place of residence, ANC, parity and birth weight were identified as predictors of perinatal mortality. Devising strategies that enhance access to and utilisations of ANC services with due emphasis for rural residents, primipara mothers and newborn with low and big birth weights may be crucial for reducing perinatal mortality.

Keywords: EPIDEMIOLOGY; Fetal medicine; PERINATOLOGY.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Pregnancy observation flow chart, in Kersa Health and Demographic Surveillance System from 2015 to 2020.
Figure 2
Figure 2
Perinatal mortality rate from 2015 to 2020 in Kersa Health and Demographic Surveillance System, Eastern Ethiopia.
See this image and copyright information in PMC

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