Evidence map›Paper›PMID 34980034›Full record

ArticleBMC pediatrics2022

The utility of delivery ward register data for determining the causes of perinatal mortality in one specialized and one general hospital in south Ethiopia.

Tesfalidet Beyene, Catherine Chojenta, Roger Smith, Deborah Loxton

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 4 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
  2. Worldwide Wellness of Mothers and Babies (WWOMB): program overview and lessons learned from Ethiopia.Archives of public health = Archives belges de sante publique · 2024
    Pooled it
  3. Review
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

4 authors at 2 institutions in 1 country.

Tesfalidet BeyenePriority Research Center for Healthy Lungs, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia. ttesfalove@gmail.com.
Catherine ChojentaCentre for Women's Health Research, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia.
Roger SmithThe Mothers and Babies Research Centre at the Hunter Medical Research Institute, University of Newcastle, Callaghan, NSW, Australia.
Deborah LoxtonCentre for Women's Health Research, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia.
University of Newcastle Australia · AUHunter Medical Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, the burden of perinatal mortality is high. Reliable measures of perinatal mortality are necessary for planning and assessing prenatal, obstetric, and newborn care services. However, accurate record-keeping is often a major challenge in low resource settings. In this study we aimed to assess the utility of delivery ward register data, captured at birth by healthcare providers, to determine causes of perinatal mortality in one specialized and one general hospital in south Ethiopia.

methodsThree years (2014-2016) of delivery register for 13,236 births were reviewed from July 12 to September 29, 2018, in two selected hospitals in south Ethiopia. Data were collected using a structured pretested data extraction form. Descriptive statistics assessed early neonatal mortality rate, stillbirth rate, perinatal mortality rate and causes of neonatal deaths. Factors associated with early neonatal deaths and stillbirths were examined using logistic regression. The adjusted odds ratios with a 95% confidence interval were reported to show the strength of the association.

resultThe perinatal mortality ratio declined from 96.6 to 75.5 per 1000 births during the three-year study period. Early neonatal mortality and stillbirth rates were 29.3 per 1000 live births and 55.2 per 1000 total births, respectively. The leading causes of neonatal death were prematurity 47.5%, and asphyxia 20.7%. The cause of death for 15.6% of newborns was not recorded in the delivery registers. Similarly, the cause of neonatal morbidity was not recorded in 1.5% of the delivery registers. Treatment given for 94.5% of neonates were blank in the delivery registers, so it is unknown if the neonates received treatment or not. Factors associated with increased early neonatal deaths were maternal deaths and complications, vaginal births, APGAR scores less than 7 at five minutes and low birth weight (2500 g). Maternal deaths and complications and vaginal births were associated with increased stillbirths.

conclusionOur findings show that an opportunity exists to identify perinatal death and newborn outcomes from the delivery ward registers, but some important neonatal outcomes were not recorded/missing. Efforts towards improving the medical record systems are needed. Furthermore, there is a need to improve maternal health during pregnancy and birth, especially neonatal care for those neonates who experienced low APGAR scores and birth weight to reduce the prevalence of perinatal deaths.

Indexed as

Perinatal DeathEthiopiaFemaleHospitals, GeneralHumansInfant MortalityInfant, NewbornPerinatal MortalityPregnancyStillbirthBirthDelivery ward registerEthiopiaPerinatal deathsUtility

Identifiers

PMID34980034
PMCPMC8721979
OpenAlexW4205275171

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.