Evidence map›Paper›PMID 33325570›Full record

SynthesisThe Cochrane database of systematic reviews2020

Multi-professional simulation-based team training in obstetric emergencies for improving patient outcomes and trainees' performance.

Annemarie F Fransen, Joost van de Ven, Franyke R Banga, Ben Willem J Mol, S Guid Oei

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
0.9field-weighted citation impact, top 25% of its field
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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Obstetric hysterectomy as a key procedure for the obstetrician-gynecologistRevista colombiana de obstetricia y ginecologia · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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 at 3 institutions in 2 countries.

Annemarie F FransenDepartment of Obstetrics and Gynaecology, Máxima Medical Centre, Veldhoven, Netherlands.
Joost van de VenDepartment of Obstetrics and Gynaecology, Elkerliek Hospital, Helmond, Netherlands.
Franyke R BangaDepartment of Obstetrics and Gynaecology, Máxima Medical Centre, Veldhoven, Netherlands.
Ben Willem J MolDepartment of Obstetrics and Gynaecology, Monash University, Clayton, Australia.
S Guid OeiDepartment of Obstetrics and Gynaecology; Department of Electrical Engineering (University of Technology, Eindhoven), Máxima Medical Centre, Veldhoven, Netherlands.
Máxima Medisch Centrum · NLRadboud University Nijmegen · NLUniversity of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSimulation-based obstetric team training focuses on building a system that will anticipate errors, improve patient outcomes and the performance of clinical care teams. Simulation-based obstetric team training has been proposed as a tool to improve the overall outcome of obstetric health care.

objectivesTo assess the effects of simulation-based obstetric team training on patient outcomes, performance of obstetric care teams in practice and educational settings, and trainees' experience. SEARCH

methodsThe Cochrane Pregnancy and Childbirth Group's Trials Register, ClinicalTrials.gov and the WHO International Clinical Trials Registry Platform (ICTRP) were searched (14 April 2020), together with references checking and hand searching the available proceedings of 2 international conferences. SELECTION CRITERIA: We included randomised controlled trials (RCTs) (including cluster-randomised trials) comparing simulation-based obstetric team training with no, or other type of training. DATA COLLECTION AND ANALYSIS: We used standard methodological procedures expected by Cochrane, to identify articles, assess methodological quality and extract data. Data from three cluster-randomised trials could be used to perform generic inverse variance meta-analyses. The meta-analyses were based on risk ratios (RRs) and mean differences (MDs) with 95% confidence intervals (CIs). We used the GRADE approach to rate the certainty of the evidence. We used Kirkpatrick's model of training evaluation to categorise the outcomes of interest; we chose Level 3 (behavioural change) and Level 4 (patient outcome) to categorise the primary outcomes. MAIN

resultsWe included eight RCTs, six of which were cluster-randomised trials, involving more than 1000 training participants and more than 200,000 pregnancies/births. Four studies reported on outcome measures on Kirkpatrick level 4 (patient outcome), three studies on Kirkpatrick level 3 (performance in practice), two studies on Kitkpatrick level 2 (performance in educational settings), and none on Kirkpatrick level 1 (trainees' experience). The included studies were from Mexico, the Netherlands, the UK and the USA, all middle- and high-income countries. Kirkpatrick level 4 (patient outcome) Simulation-based obstetric team training may make little or no difference for composite outcomes of maternal and/or perinatal adverse events compared with no training (3 studies; n = 28,731, low-certainty evidence, data not pooled due to different composite outcome definitions). We are uncertain whether simulation-based obstetric team training affects maternal mortality compared with no training (2 studies; 79,246 women; very low-certainty evidence). However, it may reduce neonatal mortality (RR 0.70, 95% CI 0.48 to 1.01; 2 studies, 79,246 pregnancies/births, low-certainty evidence). Simulation-based obstetric team training may have little to no effect on low Apgar score compared with no training (RR 0.99, 95% 0.85 to 1.15; 2 studies; 115,171 infants; low-certainty evidence), but it probably reduces trauma after shoulder dystocia (RR 0.50, 95% CI 0.25 to 0.99; 1 study; moderate-certainty evidence) and probably slightly reduces the number of caesarean deliveries (RR 0.79, 95% CI 0.67 to 0.93; 1 study; n = 50,589; moderate-certainty evidence) Kirkpatrick level 3 (performance in practice) We found that simulation-based obstetric team training probably improves the performance of the obstetric teams in practice, compared with no training (3 studies; 2398 obstetric staff members, moderate-certainty evidence, data not pooled due to different outcome definitions). AUTHORS'

conclusionsSimulation-based obstetric team training may help to improve team performance of obstetric teams, and it might contribute to improvement of specific maternal and perinatal outcomes, compared with no training. However, high-certainty evidence is lacking due to serious risk of bias and imprecision, and the effect cannot be generalised for all outcomes. Future studies investigating simulation-based obstetric team training compared to training courses with a different instructional design should carefully consider how and when to measure outcomes. Particular attention should be paid to effect measurement at the level of patient outcome, taking into consideration the low incidence of adverse maternal and perinatal events.

Indexed as

Apgar ScoreBiasCesarean SectionClinical CompetenceConfidence IntervalsEmergenciesFemaleHumansInfantInfant MortalityInfant, NewbornMaternal MortalityMedical ErrorsObstetricsPatient Care TeamPregnancy

Identifiers

PMID33325570
PMCPMC8094450
OpenAlexW1537071156

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.