ArticleHealthcare (Basel, Switzerland)2022
Can Different Admissions to Medical School Predict Performance of Non-Technical Skill Performance in Simulated Clinical Settings?
Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Does academic excellence predict non-cognitive competencies? Insights from a situational judgement test among medical students in Nigeria.BMC medical education · 2025Article
- Interactional competencies in medical student admission- what makes a "good medical doctor"?Advances in health sciences education : theory and practice · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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,
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Registered trials
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.