Evidence map›Paper›PMID 36303254›Full record

ArticleAdvances in simulation (London, England)2022

Team debriefing in the COVID-19 pandemic: a qualitative study of a hospital-wide clinical event debriefing program and a novel qualitative model to analyze debriefing content.

Thomas B Welch-Horan, Paul C Mullan, Zobiya Momin, Jeannie Eggers, Julia B Lawrence, Royanne L Lichliter, Cara B Doughty

Open access · goldAbstract read
In one paragraph

Article in Advances in simulation (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Strategies for positive leadership attitude among operational managers post-COVID-19 at primary health care clinics in the City of Johannesburg.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2025
    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

7 authors at 4 institutions in 1 country.

Thomas B Welch-Horan *Texas Children's Hospital, Baylor College of Medicine, 6621 Fannin St, Houston, TX, 77030, USA. tbwelchh@texaschildrens.org.ORCID http://orcid.org/0000-0002-9444-8871
Paul C Mullan *Children's Hospital of the King's Daughters, Eastern Virginia Medical School, Norfolk, VA, USA.ORCID https://orcid.org/0000-0001-5153-1299
Zobiya MominChildren's Healthcare of Atlanta, Emory University School of Medicine, Atlanta, GA, USA.ORCID https://orcid.org/0000-0002-5423-8247
Jeannie EggersTexas Children's Hospital, Houston, TX, USA.
Julia B LawrenceTexas Children's Hospital, Houston, TX, USA.
Royanne L LichliterTexas Children's Hospital, Houston, TX, USA.ORCID https://orcid.org/0000-0002-9517-9175
Cara B DoughtyTexas Children's Hospital, Baylor College of Medicine, 6621 Fannin St, Houston, TX, 77030, USA.ORCID https://orcid.org/0000-0001-5489-8539
Texas Children's Hospital · USBaylor College of Medicine · USEastern Virginia Medical School · USEmory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare workers faced unique challenges during the early months of the COVID-19 pandemic which necessitated rapid adaptation. Clinical event debriefings (CEDs) are one tool that teams can use to reflect after events and identify opportunities for improving their performance and their processes. There are few reports of how teams have used CEDs in the COVID-19 pandemic. Our aim is to explore the issues discussed during COVID-19 CEDs and propose a framework model for qualitatively analyzing CEDs.

methodsThis was a descriptive, qualitative study of a hospital-wide CED program at a quaternary children's hospital between March and July 2020. CEDs were in-person, team-led, voluntary, scripted sessions using the Debriefing in Suspected COVID-19 to Encourage Reflection and Team Learning (DISCOVER-TooL). Debriefing content was qualitatively analyzed using constant comparative coding with an integrated deductive and inductive approach. A novel conceptual framework was proposed for understanding how debriefing content can be employed at various levels in a health system for learning and improvement.

resultsThirty-one debriefings were performed and analyzed. Debriefings had a median of 7 debriefing participants, lasted a median of 10 min, and were associated with multiple systems-based process improvements. Fourteen themes and 25 subthemes were identified and categorized into a novel Input-Mediator-Output-Input Debriefing (IMOID) model. The most common themes included communication, coordination, situational awareness, team member roles, and clinical standards.

conclusionsTeams identified diverse issues in their debriefing discussions related to areas of high performance and opportunities for improvement in their care of COVID-19 patients. This model may help healthcare systems to understand how CED tools can be used to accelerate organizational learning to promote safety and improve outcomes in changing clinical environments.

Indexed as

Clinical event debriefingCommunicationCOVID-19DebriefingPatient safetyQualitativeQuality improvementTeamwork

Identifiers

PMID36303254
PMCPMC9612619
OpenAlexW4307776682

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.