Evidence map›Paper›PMID 35584868›Full record

ArticleBMJ open2022

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

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

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Perinatal mortality in eastern Africa: A systematic review and meta-analysis.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Pooled it
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  5. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Merga DheresaSchool of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Gamachis DarajeDepartment of Statistics, Haramaya University, Haramaya, Ethiopia.
Gelana FekaduSchool of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Galana Mamo AyanaSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Bikila BalisSchool of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Belay NegashSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Temam Beshir RaruSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Yadeta DessieSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Addisu AlemuSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Bedasa Taye MergaSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia tbadhaasaa@gmail.com.ORCID 0000-0002-8178-6484
Haramaya University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePerinatal 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

participantsAn 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.

resultsFrom 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.

conclusionsThe 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.

Indexed as

Perinatal DeathPerinatal MortalityBirth WeightEthiopiaFemaleHumansInfant, NewbornPregnancyPrenatal CareProspective StudiesEPIDEMIOLOGYFetal medicinePERINATOLOGY

Identifiers

PMID35584868
PMCPMC9119174
OpenAlexW4280572988

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.