Evidence map›Paper›PMID 35516823›Full record

ArticleBMJ simulation & technology enhanced learning2021

Latent safety threat identification during in situ simulation debriefing: a qualitative analysis.

Sparsh Shah, Melissa McGowan, Andrew Petrosoniak

Abstract read
In one paragraph

Article in BMJ simulation & technology enhanced learning, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Translational simulation: from description to action.Advances in simulation (London, England) · 2021
    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

3 authors.

Sparsh ShahDepartment of Medicine, University of Toronto Faculty of Medicine, Toronto, Canada.ORCID 0000-0003-2754-1221
Melissa McGowanDepartment of Emergency Medicine, St. Michael's Hospital, Toronto, Canada.
Andrew PetrosoniakDepartment of Medicine, University of Toronto Faculty of Medicine, Toronto, Canada.ORCID 0000-0001-6252-1192

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Latent safety threats (LSTs) in healthcare are hazards or conditions that risk patient safety but are not readily apparent without system stress. In situ simulation (ISS), followed by post-scenario debriefing is a common method to identify LSTs within the clinical environment. The function of post-ISS debriefing for LST identification is not well understood. Objectives: This study aims to qualitatively characterise the types of LSTs identified during ISS debriefing. Methods: We conducted 12 ISS trauma scenarios followed by debriefing at a Canadian, Level 1 trauma centre. We designed the scenarios and debriefing for 15 and 20 min, respectively. Debriefings focused on LST identification, and each session was audio recorded and transcribed. We used an inductive approach with qualitative content analysis to code text data into an initial coding tree. We generated refined topics from the coded text data. Results: We identified five major topics: (1) communication and teamwork challenges, (2) system-level issues, (3) resource constraints, (4) positive team performance and (5) potential improvements to the current systems and processes. Conclusions: During simulation debriefing sessions for LST identification, participants discussed threats related to communication and interpersonal issues. Safety issues relating to equipment, processes and the physical space received less emphasis. These findings may guide health system leaders and simulation experts better understanding of the strengths and limitations of simulation debriefing for LST identification. Further studies are required to compare ISS-based LST identification techniques.

Indexed as

DebriefingPatient SafetyQualitative ResearchSimulation

Identifiers

PMID35516823
PMCPMC8936644

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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.