Literature DB >> 23516804

Do team and individual debriefs enhance performance? A meta-analysis.

Scott I Tannenbaum1, Christopher P Cerasoli.   

Abstract

OBJECTIVE: Debriefs (or "after-action reviews") are increasingly used in training and work environments as a means of learning from experience. We sought to unify a fragmented literature and assess the efficacy of debriefs with a quantitative review.
BACKGROUND: Used by the U.S. Army to improve performance for decades, and increasingly in medical, aviation, and other communities, debriefs systematize reflection, discussion, and goal setting to promote experiential learning. Unfortunately, research and theory on debriefing has been spread across diverse disciplines, so it has been difficult to definitively ascertain debriefing effectiveness and how to enhance its effectiveness.
METHOD: We conducted an extensive quantitative meta-analysis across a diverse body of published and unpublished research on team- and individual-level debriefs.
RESULTS: Findings from 46 samples (N = 2,136) indicate that on average, debriefs improve effectiveness over a control group by approximately 25% (d = .67). Average effect sizes were similar for teams and individuals, across simulated and real settings, for within- or between-group control designs, and for medical and nonmedical samples. Meta-analytic methods revealed a bolstering effect of alignment and the potential impact of facilitation and structure.
CONCLUSION: Organizations can improve individual and team performance by approximately 20% to 25% by using properly conducted debriefs. APPLICATION: Debriefs are a relatively inexpensive and quick intervention for enhancing performance. Our results lend support for continued and expanded use of debriefing in training and in situ. To gain maximum results, it is important to ensure alignment between participants, focus and intent, and level of measurement.

Entities:  

Mesh:

Year:  2013        PMID: 23516804     DOI: 10.1177/0018720812448394

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  44 in total

1.  A randomized trial comparing didactics, demonstration, and simulation for teaching teamwork to medical residents.

Authors:  Matthew W Semler; Raj D Keriwala; Jennifer K Clune; Todd W Rice; Meredith E Pugh; Arthur P Wheeler; Alison N Miller; Arna Banerjee; Kyla Terhune; Julie A Bastarache
Journal:  Ann Am Thorac Soc       Date:  2015-04

2.  Naturalistic Decision Making in After-Action Review Meetings: The Implementation of and Learning from Post-Fall Huddles.

Authors:  Roni Reiter-Palmon; Victoria Kennel; Joseph A Allen; Katherine J Jones; Anne M Skinner
Journal:  J Occup Organ Psychol       Date:  2014-08-20

Review 3.  An integrative framework for sensor-based measurement of teamwork in healthcare.

Authors:  Michael A Rosen; Aaron S Dietz; Ting Yang; Carey E Priebe; Peter J Pronovost
Journal:  J Am Med Inform Assoc       Date:  2014-07-22       Impact factor: 4.497

4.  Post-event debriefings during neonatal care: why are we not doing them, and how can we start?

Authors:  T Sawyer; D Loren; L P Halamek
Journal:  J Perinatol       Date:  2016-03-31       Impact factor: 2.521

5.  More than experience: a post-task reflection intervention among team members enhances performance in student teams confronted with a simulated resuscitation task-a prospective randomised trial.

Authors:  Patrizia Kündig; Franziska Tschan; Norbert K Semmer; Camille Morgenthaler; Jasmin Zimmermann; Eliane Holzer; Simon Andreas Huber; Sabina Hunziker; Stephan Marsch
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2020-03-02

6.  Brick in the wall? Linking quality of debriefing to participant learning in team training of interprofessional students.

Authors:  John T Paige; Deborah D Garbee; Qingzhao Yu; John Zahmjahn; Raquel Baroni de Carvalho; Lin Zhu; Vadym Rusnak; Vladimir J Kiselov
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2021-01-27

7.  DE-CODE: a coding scheme for assessing debriefing interactions.

Authors:  Julia C Seelandt; Bastian Grande; Sarah Kriech; Michaela Kolbe
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2018-03-23

Review 8.  Helping healthcare teams save lives during COVID-19: Insights and countermeasures from team science.

Authors:  Allison M Traylor; Scott I Tannenbaum; Eric J Thomas; Eduardo Salas
Journal:  Am Psychol       Date:  2020-10-29

Review 9.  Simulation in Neurocritical Care: Past, Present, and Future.

Authors:  Nicholas A Morris; Barry M Czeisler; Aarti Sarwal
Journal:  Neurocrit Care       Date:  2019-06       Impact factor: 3.210

Review 10.  Debriefing to improve outcomes from critical illness: a systematic review and meta-analysis.

Authors:  Keith Couper; Bilal Salman; Jasmeet Soar; Judith Finn; Gavin D Perkins
Journal:  Intensive Care Med       Date:  2013-06-11       Impact factor: 17.440

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