Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Objective: The Association of American Medical Colleges defines recognition of the need for urgent or emergent escalation of care as a key Entrustable Professional Activity (EPA) for entering residency (EPA#10). This study pilots the use of an immersive virtual reality (VR) platform for defining objective observable behaviors as standards for evaluation of medical student recognition of impending respiratory failure.
Methods: A cross-sectional observational study was conducted from July 2018 to December 2019, evaluating student performance during a VR scenario of an infant in impending respiratory failure using the OculusRift VR platform. Video recordings were rated by 2 pair of physician reviewers blinded to student identity. One pair provided a consensus global assessment of performance (not competent, borderline, or competent) while the other used a checklist of observable behaviors to rate performance. Binary discriminant analysis was used to identify the observable behaviors that predicted the global assessment rating.
Results: Twenty-six fourth year medical students participated. Student performance of 8 observable behaviors was found to be most predictive of a rating of competent, with a 91% probability. Correctly stating that the patient required an escalation of care had the largest contribution toward predicting a rating of competent, followed by commenting on the patient's increased heart rate, low oxygen saturation, increased respiratory rate, and stating that the patient was in respiratory distress.
Conclusions: This study demonstrates that VR can be used to establish objective and observable performance standards for assessment of EPA attainment - a key step in moving towards competency based medical education.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7572369 | PMC |
http://dx.doi.org/10.1016/j.acap.2020.10.010 | DOI Listing |