Evidence map›Paper›PMID 37484166›Full record

ArticleEthiopian journal of health sciences2023

Maternal Satisfaction on Delivery Service and Its Associated Factors in Public Health Facilities at West Shewa Zone, Ethiopia.

Alemayehu Siffir Argawu, Maru Mossisa Erana

Abstract read
In one paragraph

Article in Ethiopian journal of health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

2 authors.

Alemayehu Siffir ArgawuDepartment of Statistics, College of Natural and Computational Sciences, Ambo University, Ethiopia.
Maru Mossisa EranaDepartment of Midwifery, College of Medicine and Health Sciences, Ambo University, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Maternal delivery satisfaction could be assessed to improve the quality and effectiveness. Thus, this study aimed to assess maternal satisfaction with delivery services and associated factors in public health facilities in West Shewa Zone, Ethiopia. Methods: An institution-based cross-sectional study was conducted on maternal satisfaction delivery services. Systematic and stratified sampling techniques were used to select mothers by using their delivery registration number and to select health facilities. A binary logistic regression model was used to identify associated factors. Results: Among mothers, the overall satisfaction with delivery service was 584 (87%). Shower service availability (39.8%), toilet cleanliness (32.6%), and waiting area cleanliness (31.1%) were significant areas of mothers' dissatisfaction with delivery services. Uneducated mothers, mothers of 1-6 education level, monthly income of mothers less than 500 Birr, mothers who followed antenatal care, mothers who had actual fetal outcome, mothers who admitted from 6:00 AM to 12:00, and mothers who admitted from 12:00 AM to 6:00 PM were satisfied with delivery services. Conclusion: The age of the mother, mother's education level, monthly income of mother, antenatal care, fetal outcome, place of delivery, and admission time of the mother were significantly associated factors for mothers' satisfaction with delivery services. Therefore, regional health bureaus and zonal health offices should work collaboratively on maternal care to improve maternal satisfaction during delivery.

Indexed as

Maternal Health ServicesPrenatal CareCross-Sectional StudiesDelivery, ObstetricEthiopiaFemaleHealth FacilitiesHumansMothersPersonal SatisfactionPregnancyDelivery ServicesHealth InstitutionsMaternal Satisfaction

Identifiers

PMID37484166
PMCPMC10358387

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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.