Evidence map›Paper›PMID 38046268›Full record

ArticleInternational journal of women's health2023

Pregnancy Risk Perception, Knowledge of Obstetric Danger Signs and Attitude Towards Skilled Delivery Service Utilization Among Pregnant Mothers in a Rural Setting in South Ethiopia: A Community-Based Cross-Sectional Study.

Abinet Arega Sadore, Yohannes Kebede, Zewdie Birhanu

Abstract read
In one paragraph

Article in International journal of women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

3 authors.

Abinet Arega SadoreSchool of Public Health, College of Medicine and Health Sciences, Wachemo University, Hossana, Ethiopia.ORCID 0000-0002-3379-7648
Yohannes KebedeDepartment of Health, Behaviour and Society, Faculty of Public Health, Institute of Health, Jimma University, Jimma, Ethiopia.ORCID 0000-0003-3142-5266
Zewdie BirhanuDepartment of Health, Behaviour and Society, Faculty of Public Health, Institute of Health, Jimma University, Jimma, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Poor pregnancy risk perception, ignorance of obstetric risk symptoms, and attitudes toward institutional delivery services are factors that prevent pregnant women from choosing to receive emergency obstetric treatment. Objective: To assess pregnancy risk perception, attitude towards skilled delivery service, and knowledge of obstetric danger signs and associated factors among pregnant mothers. Methods: A cross-sectional community-based study design was used. The 668 pregnant women who participated in this study were chosen using a multi-stage sampling methodology. Data were gathered using a pretested questionnaire that was presented by an interviewer. To find independent factors, logistic regression analysis was used. With a p-value of less than 0.05, which denotes statistical significance, a corresponding 95% confidence interval (CI) was calculated. Results: Pregnancy risk perception was shown to have a lower mean score (23) overall. Only 40.9% of the study participants had high pregnancy risk perception. Over 50% (337) of respondents had a positive attitude towards skilled delivery service utilization. In all categories of obstetric danger signs, only 153 respondents (or 22.9%) knew what the obstetric danger signs were. Maternal age (AOR = 1.966, CI: 1.185-3.261), maternal education (AOR = 1.965, 1.002-3.854), and parity (AOR = 0.534, CI: 0.305-0.933) were factors affecting knowledge of obstetric danger signs. Pregnancy risk Perception (AOR = 14.7, CI: 9.849-22.235) and parity (AOR = 2.27, CI: 1.381-3.733) were significantly associated with attitudes on the use of skilled delivery services. Conclusion: This study found that pregnant women in rural locations had poor levels of knowledge of obstetric danger sign, attitude toward using skilled delivery services, and perception of pregnancy risk. The knowledge of obstetric danger indicators among pregnant women was considerably affected by the mother's age, education, and parity. The perception of pregnancy risk and parity were found to be substantially associated with attitudes towards skilled delivery services.

Indexed as

Ethiopiapregnancy risk perceptionpregnant mothers

Identifiers

PMID38046268
PMCPMC10691428

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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.