Evidence map›Paper›PMID 39883046›Full record

ArticleFuture science OA2025

Quantum leadership: new approach in managing shoulder dystocia in simulation-based training.

Georges Yared, Christopher Massaad, Kariman Ghazal

Abstract read
In one paragraph

Article in Future science OA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Georges YaredObstetrics and Gynecology Department, Lebanese American University, Beirut, Lebanon.
Christopher MassaadFaculty of Medicine, Saint George University of Beirut, Rmeil, Lebanon.
Kariman GhazalFaculty of Medical Sciences, Obstetrics and Gynecology at Lebanese University, Beirut, Lebanon.ORCID 0000-0002-3199-631X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShoulder dystocia, a challenging condition for obstetricians, poses significant risks to both maternal and neonatal health, including maternal postpartum hemorrhage, neonatal hypoxia, and brachial plexus injury. Despite being unpredictable and unpreventable, effective management can mitigate these risks. Miscommunication and poor leadership are responsible for 72% of medical errors, which further highlights the importance of robust leadership skills in obstetric emergencies. RESEARCH DESIGN AND

methodsA qualitative study involving 20 participants through structured interviews assessed preferred leadership styles in managing shoulder dystocia.

resultsFindings revealed that 55% of participants favored quantum leadership. Other preferences included laissez-faire by one anesthesiologist and democratic by two midwives. However, all participants acknowledged the efficacy of the seven quantum leadership skills in managing shoulder dystocia. Discussion emphasized that traditional leadership styles are less effective compared to quantum leadership in managing the complexities of shoulder dystocia. The quantum Ob-Wheel, consisting of 12 milestones, integrates these seven interdependent skills to guide the management process.

conclusionsDespite the limited sample size of this study, it is worth noting that, given the unpredictable nature of shoulder dystocia, clinicians should be prepared for its occurrence during any birth, with quantum leadership providing a strategic advantage in such scenarios.

Indexed as

leadership stylesmaternal healthmedical errorsneonatal healthobstetric emergenciesobstetric managementqualitative studyquantum leadershipquantum Ob-WheelShoulder dystocia

Identifiers

PMID39883046
PMCPMC11792848

What OpenQuestion holds

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LicenceCC BY-NC
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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.