Evidence map›Paper›PMID 37438692›Full record

ArticleBMC women's health2023

Third delay and associated factors among women who gave birth at public health facilities of Gurage zone, southern Ethiopia.

Ayenew Berihun, Teshome Abuka Abebo, Bethelhem Mezgebe Aseffa, Yilkal Simachew, Meskerem Jisso, Yemisrach Shiferaw

Abstract read
In one paragraph

Article in BMC women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  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
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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

6 authors.

Ayenew BerihunGurage Zone Health Department, Welkite, Ethiopia.
Teshome Abuka AbeboSchool of Public Health, College of Medicine and Health Science, Hawassa University, Hawassa, Ethiopia.
Bethelhem Mezgebe AseffaSchool of Public Health, College of Medicine and Health Science, Hawassa University, Hawassa, Ethiopia.
Yilkal SimachewSchool of Public Health, College of Medicine and Health Science, Hawassa University, Hawassa, Ethiopia. joemakalister123@gmail.com.
Meskerem JissoSchool of Public Health, College of Medicine and Health Science, Hawassa University, Hawassa, Ethiopia.
Yemisrach ShiferawSchool of Public Health, College of Medicine and Health Science, Hawassa University, Hawassa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe third delay is a delay in accessing emergency obstetric care timely and appropriately once a woman reaches a health facility. The third delay plays a crucial role as an indicator to assess the quality of obstetrics services and is often the leading contributing factor to maternal mortality in developing countries. Although considerable research has been conducted on pre-facility delays in healthcare access, there is a lack of focus on delays experienced upon arrival at health facilities, particularly in Ethiopia and the specific study areas of Gurage zone. This study aimed to assess the magnitude of the third delay and associated factors among women who gave birth at Public Health Facilities of Gurage Zone, Southern Ethiopia.

methodA facility-based cross-sectional study was conducted with 558 women who gave birth at public health facilities of Gurage Zone from January 01/2020 to March 30/2020. Multi-stage stratified sampling technique was used to select the nine facilities. The data was collected using a structured interviewer administer questionnaire and an observational checklist. Women who waited more than an hour to receive delivery services after arriving at the health facility were classified as experiencing the third delay. The data were entered and analyzed using Epi Data version 3.1 and SPSS version 20.0 software, respectively. Binary logistic regression was employed to identify the determinant factors for the third delay. Variables having a P-value < 0.25 in the binary analysis were a candidate for multivariable analysis. Variables with P < 0.05 were considered statistically significant.

resultThe magnitude of the third delay was 193 [(34.8%; 95% CI; (30.8%, 38.8%)]. Complication during labor [AOR = 2.0; 95% CI, (1.4, 3.0)], Presence of functional generator in a health facility [AOR = 2.8; 95% CI, (1.3, 6.3)], level of health institution [AOR = 2.8; 95% CI, (1.04, 7.8)] and BEMONC training in the last two years [AOR = 1.6; 95% CI, (2.0, 6.5)] were significantly associated with third delay.

conclusionThe magnitude of third delay was high compared to some low income countries, which shows most of mothers were not getting the service timely after they arrived at the health facility. Equipping health facilities with trained manpower and with necessary materials and infrastructure will contribute to hastening the provision of obstetric care.

Indexed as

Health FacilitiesParturitionCross-Sectional StudiesEthiopiaFemaleHealth Services AccessibilityHumansPregnancyGurage ZoneLaboring mothersThird Delay

Identifiers

PMID37438692
PMCPMC10339583

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.