Evidence map›Paper›PMID 34430742›Full record

ArticleHeliyon2021

Factors influencing decision-making to accept elective caesarean section: A descriptive cross-sectional study.

Victoria Bam, Alberta Yemotsoo Lomotey, Abigail Kusi-Amponsah Diji, Hayford Isaac Budu, Dorothy Bamfo-Ennin, Georgina Mireku

Abstract read
In one paragraph

Article in Heliyon, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
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  8. Impact of physician, family and society on the choice of Cesarean-section delivery mode among Lebanese females.European journal of obstetrics & gynecology and reproductive biology: X · 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

6 authors.

Victoria BamDepartment of Nursing, Kwame Nkrumah University of Science and Technology, Ghana.
Alberta Yemotsoo LomoteyDepartment of Nursing, Kwame Nkrumah University of Science and Technology, Ghana.
Abigail Kusi-Amponsah DijiDepartment of Nursing, Kwame Nkrumah University of Science and Technology, Ghana.
Hayford Isaac BuduDepartment of Nursing, Kwame Nkrumah University of Science and Technology, Ghana.
Dorothy Bamfo-EnninDepartment of Nursing, Kwame Nkrumah University of Science and Technology, Ghana.
Georgina MirekuDepartment of Nursing, Kwame Nkrumah University of Science and Technology, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elective caesarean sections (CS) that have medical indications contribute to better pregnancy outcomes but women have to consent for the procedure to be performed within reasonable time limits for the desired outcomes. This study aimed to determine the factors that influence women's decision-making and the duration of the decision-making process to accept primary or repeat elective CS in a district hospital in Ghana. A descriptive cross-sectional study was conducted among 163 purposively-sampled postnatal women in a hospital, who had experienced a CS. A questionnaire was used to collect data after the women gave their consent to participate. Data was analyzed using SPSS version 25.0 and presented using appropriate descriptive statistics. Chi-square test of independence was done to determine the association between any two categorical variables. Major factors that influenced women's decision-making to accept elective CS were support from their husband/partner/relatives (39.3 %), their baby's life being at risk (24.5 %), history of previous CS and knowledge about the procedure (19.6 %). Age and parity had significant relationship with the influencing factors. However, age was only significant for the influence of husband/partner/relative in the decision-making to accept CS (p < 0.01). Age (R

Indexed as

Decision-makingElective caesarean sectionInfluenceWomen

Identifiers

PMID34430742
PMCPMC8365447

What OpenQuestion holds

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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.