Evidence map›Paper›PMID 35646188›Full record

ArticleJournal of medicine and life2022

The effect of backup midwife on maternal experience after vaginal childbirth - a qualitative study.

Shiva Khodarahmi, Sepideh Hajian, Elham Zare, Malihe Nasiri

Abstract read
In one paragraph

Article in Journal of medicine and life, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Shiva KhodarahmiDepartment of Midwifery, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Sepideh HajianDepartment of Midwifery, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Elham ZareDepartment of Midwifery, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Malihe NasiriDepartment of Basic Sciences, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the goals of reproductive health enhancement is to ensure the desired experience of safe childbirth by reducing possible complications, fears, and worries about delivery by ongoing midwife backup care. This study explains women's experiences with a backup midwife during labor and childbirth. This was a qualitative study involving 19 women who had natural childbirth in Hamadan, 2020. Purposeful sampling and data collection were performed using semi-structured in-depth interviews. Data were analyzed by conventional content analysis using MAXQDA software version 10. Data analysis showed three themes and six main categories. The themes included security, high-quality care, and respectful care, consisting of two main categories of perceived empowerment and support, physiological approach and reassuring care, and respect for the mother's privacy and optimal accountability. The presence of a backup midwife during labor caused a sense of security, control, and perceived empowerment, thus a positive childbirth experience. Therefore, it is necessary to train and employ midwifery in the healthcare system. It is recommended to train and employ midwifery graduates for this purpose and include it as one of the basic principles in the current planning to promote natural childbirth.

Indexed as

MidwiferyDelivery, ObstetricFemaleHumansParturitionPregnancyQualitative ResearchQuality of Health Careexperiencemidwiferynatural childbirth

Identifiers

PMID35646188
PMCPMC9126467

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.