Literature DB >> 21994358

Determination of the psychometric properties of a behavioural marking system for obstetrical team training using high-fidelity simulation.

Pamela J Morgan1, Deborah Tregunno, Richard Pittini, Jordan Tarshis, Glenn Regehr, Susan Desousa, Matt Kurrek, Ken Milne.   

Abstract

BACKGROUND: To determine the effectiveness of high-fidelity simulation for team training, a valid and reliable tool is required. This study investigated the internal consistency, inter-rater reliability and test-retest reliability of two newly developed tools to assess obstetrical team performance.
METHODS: After research ethics board approval, multidisciplinary obstetrical teams participated in three sessions separated by 5-9 months and managed four high-fidelity simulation scenarios. Two tools, an 18-item Assessment of Obstetric Team Performance (AOTP) and a six-item Global Assessment of Obstetric Team Performance (GAOTP) were used.(5) Eight reviewers rated the DVDs of all teams' performances.
RESULTS: Two AOTP items were consistently incomplete and omitted from the analyses. Cronbach's α for the 16-item AOTP was 0.96, and 0.91 for the six-item GAOTP. The eight-rater α for the GAOTP was 0.81 (single-rater intra-class correlation coefficient, 0.34) indicating acceptable inter-rater reliability. The 'four-scenario' α for the 12 teams was 0.79 for session 1, 0.88 for session 2, and 0.86 for session 3, suggesting that performance is not being strongly affected by the context specificity of the cases. Pearson's correlation of team performance scores for the four scenarios were 0.59, 0.35, 0.40 and 0.33, and for the total score across scenarios it was 0.47, indicating moderate test-retest reliability.
CONCLUSIONS: The results from this study indicate that the GAOTP would be a sufficient assessment tool for obstetrical team performance using simulation provided that it is used to assess teams with at least eight raters to ensure a sufficiently stable score. This could allow the quantitative evaluation of an educational intervention.

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Year:  2011        PMID: 21994358     DOI: 10.1136/bmjqs-2011-000296

Source DB:  PubMed          Journal:  BMJ Qual Saf        ISSN: 2044-5415            Impact factor:   7.035


  5 in total

1.  Simulation as a new tool to establish benchmark outcome measures in obstetrics.

Authors:  Matt M Kurrek; Pamela Morgan; Steven Howard; Peter Kranke; Aaron Calhoun; Joshua Hui; Alex Kiss
Journal:  PLoS One       Date:  2015-06-24       Impact factor: 3.240

2.  Adaptation of non-technical skills behavioural markers for delivery room simulation.

Authors:  Fabrizio Bracco; Michele Masini; Gabriele De Tonetti; Francesca Brogioni; Arianna Amidani; Sara Monichino; Alessandra Maltoni; Andrea Dato; Claudia Grattarola; Massimo Cordone; Giancarlo Torre; Claudio Launo; Carlo Chiorri; Danilo Celleno
Journal:  BMC Pregnancy Childbirth       Date:  2017-03-17       Impact factor: 3.007

3.  Noise as a risk factor in the delivery room: A clinical study.

Authors:  Kristiane Roed Jensen; Lone Hvidman; Ole Kierkegaard; Henrik Gliese; Tanja Manser; Niels Uldbjerg; Lise Brogaard
Journal:  PLoS One       Date:  2019-08-30       Impact factor: 3.240

4.  Teamwork and Adherence to Guideline on Newborn Resuscitation-Video Review of Neonatal Interdisciplinary Teams.

Authors:  Lise Brogaard; Lone Hvidman; Gitte Esberg; Neil Finer; Kristiane R Hjorth-Hansen; Tanja Manser; Ole Kierkegaard; Niels Uldbjerg; Tine B Henriksen
Journal:  Front Pediatr       Date:  2022-02-21       Impact factor: 3.418

5.  Improving the Quality of Evaluation Data in Simulation-Based Healthcare Improvement Projects: A Practitioner's Guide to Choosing and Using Published Measurement Tools.

Authors:  Chiara M Santomauro; Andrew Hill; Tara McCurdie; Hannah L McGlashan
Journal:  Simul Healthc       Date:  2020-10       Impact factor: 2.690

  5 in total

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