Evidence map›Paper›PMID 40453676›Full record

ArticleEuropean journal of midwifery2025

The effectiveness of decision-making support methods during pregnancy regarding epidural analgesia in labor: A scoping review.

Yaya Kishimoto, Kayo Ueda, Toshiko Igarashi, Yuu Tanaka, Masahiko Kawaguchi

Abstract read
In one paragraph

Article in European journal of midwifery, 2025. 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

5 authors.

Yaya Kishimoto *Department of Nursing Women's Health and Midwifery, Faculty of Nursing, Nara Medical University School of Medicine, Kashihara, Japan.
Kayo UedaDepartment of Nursing Women's Health and Midwifery, Faculty of Nursing, Nara Medical University School of Medicine, Kashihara, Japan.
Toshiko Igarashi *Department of Nursing Women's Health and Midwifery, Faculty of Nursing, Nara Medical University School of Medicine, Kashihara, Japan.
Yuu TanakaDepartment of Anesthesiology, Heisei Mahoroba Hospital, Kashihara, Japan.
Masahiko KawaguchiDepartment of Anesthesiology, Nara Medical University, Kashihara, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis scoping review aimed to identify effective methods used for decision-making support and their effects on women considering choosing epidural analgesia in labor.

methodsA literature search was conducted using CHNAHL, the Web version of the

resultsThe search identified a total of 732 articles, of which 15 were eligible. Among these, 10 were randomized controlled trials (RCTs), 1 was a non-RCT, and 4 were cohort studies. The most common decision support approach was the distribution of leaflets, which were often given in the second to third trimester of pregnancy. Outcome measurements varied, limiting the identification of the most effective approach. However, most interventions, including controls, showed some effect on improving satisfaction and knowledge. Specifically, interventions incorporating shared decision-making (SDM) influenced satisfaction with the intervention, satisfaction with the birth experience, the feeling of being supported by others, and controlling emotions and attitudes.

conclusionsThis study found that decision support methods include both expert intervention and media-based approaches. However, given the scarcity of related studies and the variability in evaluation measures, the most effective method could not be identified. Nevertheless, an SDM approach may enhance effectiveness. These findings may help those who support pregnancy and childbirth in choosing more effective decision support methods.

Indexed as

analgesiadecision-makingepiduralpregnancy

Identifiers

PMID40453676
PMCPMC12124138

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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.