Cargando…

Can Different Admissions to Medical School Predict Performance of Non-Technical Skill Performance in Simulated Clinical Settings?

Non-technical skills (NTS) in medical care are essential to ensure patient safety. Focussing on applicants’ NTS during medical school admission could be a promising approach to ensure that future physicians master NTS at a high level. Next to pre-university educational attainment, many selection tes...

Descripción completa

Detalles Bibliográficos
Autores principales: Moll-Khosrawi, Parisa, Hampe, Wolfgang, Schulte-Uentrop, Leonie, Zöllner, Christian, Zimmermann, Stefan, Huelmann, Thorben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818855/
https://www.ncbi.nlm.nih.gov/pubmed/36611506
http://dx.doi.org/10.3390/healthcare11010046
_version_ 1784865088274956288
author Moll-Khosrawi, Parisa
Hampe, Wolfgang
Schulte-Uentrop, Leonie
Zöllner, Christian
Zimmermann, Stefan
Huelmann, Thorben
author_facet Moll-Khosrawi, Parisa
Hampe, Wolfgang
Schulte-Uentrop, Leonie
Zöllner, Christian
Zimmermann, Stefan
Huelmann, Thorben
author_sort Moll-Khosrawi, Parisa
collection PubMed
description Non-technical skills (NTS) in medical care are essential to ensure patient safety. Focussing on applicants’ NTS during medical school admission could be a promising approach to ensure that future physicians master NTS at a high level. Next to pre-university educational attainment, many selection tests have been developed worldwide to facilitate and standardise the selection process of medical students. The predictive validity of these tests regarding NTS performance in clinical settings has not been investigated (yet). Therefore, we explored the predictive validities and prognosis of the Hamburg MMI (HAM-Int), HAM-Nat, PEA, and waiting as well as other quota (as example) designated by the Federal Armed Forces) for NTS performance in clinical emergency medicine training of medical students. During 2017 and 2020, N = 729 second, third, and fourth year students were enrolled within the study. The mean age of participants was 26.68 years (SD 3.96) and 49% were female students. NTS of these students were assessed during simulation scenarios of emergency training with a validated rating tool. Students admitted via waiting quota and designated by the Armed Forces performed significantly better than students admitted by excellent PEA (p = 0.026). Non-EU students performed significantly inferior (p = 0.003). Our findings provide further insight to explain how and if admission to medical school could predict NTS performance of further physicians.
format Online
Article
Text
id pubmed-9818855
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-98188552023-01-07 Can Different Admissions to Medical School Predict Performance of Non-Technical Skill Performance in Simulated Clinical Settings? Moll-Khosrawi, Parisa Hampe, Wolfgang Schulte-Uentrop, Leonie Zöllner, Christian Zimmermann, Stefan Huelmann, Thorben Healthcare (Basel) Article Non-technical skills (NTS) in medical care are essential to ensure patient safety. Focussing on applicants’ NTS during medical school admission could be a promising approach to ensure that future physicians master NTS at a high level. Next to pre-university educational attainment, many selection tests have been developed worldwide to facilitate and standardise the selection process of medical students. The predictive validity of these tests regarding NTS performance in clinical settings has not been investigated (yet). Therefore, we explored the predictive validities and prognosis of the Hamburg MMI (HAM-Int), HAM-Nat, PEA, and waiting as well as other quota (as example) designated by the Federal Armed Forces) for NTS performance in clinical emergency medicine training of medical students. During 2017 and 2020, N = 729 second, third, and fourth year students were enrolled within the study. The mean age of participants was 26.68 years (SD 3.96) and 49% were female students. NTS of these students were assessed during simulation scenarios of emergency training with a validated rating tool. Students admitted via waiting quota and designated by the Armed Forces performed significantly better than students admitted by excellent PEA (p = 0.026). Non-EU students performed significantly inferior (p = 0.003). Our findings provide further insight to explain how and if admission to medical school could predict NTS performance of further physicians. MDPI 2022-12-23 /pmc/articles/PMC9818855/ /pubmed/36611506 http://dx.doi.org/10.3390/healthcare11010046 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Moll-Khosrawi, Parisa
Hampe, Wolfgang
Schulte-Uentrop, Leonie
Zöllner, Christian
Zimmermann, Stefan
Huelmann, Thorben
Can Different Admissions to Medical School Predict Performance of Non-Technical Skill Performance in Simulated Clinical Settings?
title Can Different Admissions to Medical School Predict Performance of Non-Technical Skill Performance in Simulated Clinical Settings?
title_full Can Different Admissions to Medical School Predict Performance of Non-Technical Skill Performance in Simulated Clinical Settings?
title_fullStr Can Different Admissions to Medical School Predict Performance of Non-Technical Skill Performance in Simulated Clinical Settings?
title_full_unstemmed Can Different Admissions to Medical School Predict Performance of Non-Technical Skill Performance in Simulated Clinical Settings?
title_short Can Different Admissions to Medical School Predict Performance of Non-Technical Skill Performance in Simulated Clinical Settings?
title_sort can different admissions to medical school predict performance of non-technical skill performance in simulated clinical settings?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818855/
https://www.ncbi.nlm.nih.gov/pubmed/36611506
http://dx.doi.org/10.3390/healthcare11010046
work_keys_str_mv AT mollkhosrawiparisa candifferentadmissionstomedicalschoolpredictperformanceofnontechnicalskillperformanceinsimulatedclinicalsettings
AT hampewolfgang candifferentadmissionstomedicalschoolpredictperformanceofnontechnicalskillperformanceinsimulatedclinicalsettings
AT schulteuentropleonie candifferentadmissionstomedicalschoolpredictperformanceofnontechnicalskillperformanceinsimulatedclinicalsettings
AT zollnerchristian candifferentadmissionstomedicalschoolpredictperformanceofnontechnicalskillperformanceinsimulatedclinicalsettings
AT zimmermannstefan candifferentadmissionstomedicalschoolpredictperformanceofnontechnicalskillperformanceinsimulatedclinicalsettings
AT huelmannthorben candifferentadmissionstomedicalschoolpredictperformanceofnontechnicalskillperformanceinsimulatedclinicalsettings