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...
Autores principales: | , , , , , |
---|---|
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 |