Evidence map›Paper›PMID 31603937›Full record

ArticlePloS one2019

Maternal and perinatal death surveillance and response in Ethiopia: Achievements, challenges and prospects.

Brhane Ayele, Hailay Gebretnsae, Tsegay Hadgu, Degnesh Negash, Fana G/Silassie, Tesfu Alemu, Esayas Haregot, Tewolde Wubayehu, Hagos Godefay

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In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 6 pooled it
–field-weighted citation impact
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

34 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  12. Factors associated with maternal mortality in eastern Ethiopia: A multicenter case-control study.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
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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

9 authors.

Brhane AyeleTigray Health Research Institute, Mekelle, Tigray, Ethiopia.ORCID 0000-0003-4749-4629
Hailay GebretnsaeTigray Health Research Institute, Mekelle, Tigray, Ethiopia.
Tsegay HadguTigray Health Research Institute, Mekelle, Tigray, Ethiopia.
Degnesh NegashTigray Health Research Institute, Mekelle, Tigray, Ethiopia.
Fana G/SilassieTigray Health Research Institute, Mekelle, Tigray, Ethiopia.
Tesfu AlemuUNFPA-Tigray, Ethiopia.
Esayas HaregotTigray Health Research Institute, Mekelle, Tigray, Ethiopia.
Tewolde WubayehuTigray Health Research Institute, Mekelle, Tigray, Ethiopia.
Hagos GodefayTigray Regional Health Bureau, Mekelle, Tigray, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal and Perinatal Death Surveillance and Response (MPDSR) was a pilot program introduced in Tigray, Ethiopia to monitor maternal and perinatal death. However; its implementation and operation is not evaluated yet. Therefore, this study aimed to assess the implementation and operational status and determinants of MPDSR using a programmatic data and stakeholders involved in the program.

methodsInstitutional based cross-sectional study was applied in public health facilities (75 health posts, 50 health centers and 16 hospitals) using both qualitative and quantitative methods. Data were entered in to Epi-info and then transferred to SPSS version 21 for analysis. All variables with a p-value of ≤ 0.25 in the bivariate analysis were included in to multivariable logistic regression model to identify the independent predictors. For the qualitative part, manual thematic content analysis was done following data familiarization (reading and re-reading of the transcripts).

resultsIn this study, only 34 (45.3%) of health posts were practicing early identification and notification of maternal/perinatal death. Furthermore, only 36 (54.5%) and 35(53%) of health facilities were practiced good quality of death review and took proper action respectively following maternal/perinatal deaths. Availability of three to four number of Health Extension Workers (HEWs) (Adjusted Odds Ratio (AOR) = 6.09, 95%CI (Confidence Interval): 1.51-24.49), availability of timely Public Health Emergency Management (PHEM) reports (AOR = 4.39, 95%CI: 1.08-17.80) and participation of steering committee's in death response (AOR = 9.19, 95%CI: 1.31-64.34) were the predictors of early identification and notification of maternal and perinatal death among health posts. Availability of trained nurse (AOR = 3.75, 95%CI: 1.08-12.99) and health facility's head work experience (AOR = 3.70, 95%CI: 1.04-13.22) were also the predictors of quality of death review among health facilities. Furthermore; availability of at least one cluster review meeting (AOR = 4.87, 95%CI: 1.30-18.26) and uninterrupted pregnant mothers registration (AOR = 6.85, 95%CI: 1.22-38.54) were associated with proper response implementation to maternal and perinatal death. Qualitative findings highlighted that perinatal death report was so neglected. Community participation and intersectoral collaboration were among the facilitators for MPDSR implementation while limited human work force capacity and lack of maternity waiting homes were identified as some of the challenges for proper response implementation.

conclusionThis study showed that the magnitude of: early death identification and notification, review and response implementation were low. Strengthening active surveillance with active community participation alongside with strengthening capacity building and recruitment of additional HEWs with special focus to improve the quality of health service could enhance the implementation of MPDSR in the region.

Indexed as

Perinatal DeathPopulation SurveillanceEthiopiaFemaleHealth FacilitiesHumansInfant, NewbornLogistic ModelsMaternal DeathPregnancy

Identifiers

PMID31603937
PMCPMC6788713

What OpenQuestion holds

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LicenceCC BY
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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.