ArticleFrontiers in public health2025
Half of the mothers had poor delivery referral practices in public hospitals of Bahir Dar City Northwest, Ethiopia.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Policy makers and stakeholders may benefit from understanding maternal delivery referral practices as they develop efficient mechanisms to implement appropriate referral linkage. However, the practice of maternal delivery referral is not well known. This study aims to assess the maternal referral practices and associated factors among laboring mothers referred to public hospitals of Bahir Dar City, Northwest, Ethiopia. Method: In the hospitals of the city of Bahir Dar, a facility-based cross-sectional survey was carried out from March 1 to March 30, 2021. A total of 358 mothers who came by referral to give birth at the public hospitals in Bahir Dar were interviewed using a pre-tested questionnaire that was presented by an interviewer. Data was coded, and inputted to Epi-data version 3.1 software, and after being transferred, analyzed using SPSS version 25. The associated factors linked to poor maternal referral practices were identified using bi-variable and multivariable logistic regressions. The p-value cutoff of 0.05 was ultimately determined to be statistically significant. Results: A total of 353 study participants took part in the study. The level of poor maternal referral practice was 52.7% (95% CI 47%, 58%). The mean age of the respondents was 26.73 (± 5.45) years. Twenty eight percent of the mothers were illiterate. Unable to read and write (AOR = 2.38, 95%CI: 1.15, 4.94), read and write only (AOR = 6.59, 95%CI: 2.53, 17.17), monthly income < 1,527 birr (AOR = 4.55, 95%CI: 1.91, 10.84), monthly income between 1,527 and 3,000 birr (AOR = 4.29, 95%CI: 1.76, 10.50), and monthly income between 3,001 and 5,305 birr (AOR = 3.73, 95%CI: 1.49, 9.33), referred from referral hospitals (AOR = 4.63, 95%CI: 1.94, 11.07), gave birth via cesarean section (AOR = 2.06, 95%CI: 1.22, 3.47), gave birth via assisted delivery (AOR = 4.77, 95%CI: 1.64, 13.91), and time spent more than 1 h to arrive to Bahir Dar City public hospitals (AOR = 2.15, 95%CI: 1.07, 4.34) were significantly associated with poor maternal referral practice. Conclusion: Poor maternal referral practices were widespread. The use of maternal referrals was influenced by obstetric, social, environmental, and demographic factors. The poor maternal referral practices during labor should receive the most attention from mothers who have low monthly incomes and do not attend formal education.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.