While medical educators appear to believe that admission to the medical school should be governed, at least in part, by human judgement, there has been no systematic presentation of evidence suggesting it improves selection. From a fair testing perspective, legal, ethical, and psychometric considerations, all dictate that the scientific evidence regarding human judgement in selection should be given consideration. To investigate the validity of using human judgements in admissions, multi-disciplinary meta-analytic research evidence from the wider literature is combined with studies from within medical education to provide evidence regarding the fairness and validity of using interviews and holistic review in medical school admissions. Fourteen studies, 6 of which are meta-analytic studies that summarized 292 individual studies, were included in the final review. Within these studies, a total of 33 studies evaluated the reliability of the traditional interview. These studies reveal that the interview has low to moderate reliability (~.42) which significantly limits its validity. This is confirmed by over 100 studies examining interview validity which collectively show interview scores to be moderately correlated with important outcome variables (corrected value ~.29). Meta-analyses of over 150 studies demonstrate that mechanical/formula-based selection decisions produce better results than decisions made with holistic/clinical methods (human judgement). Three conclusions regarding the use of interviews and holistic review are provided by these meta-analyses. First, it is clear that the traditional interview has low reliability and that this significantly limits its validity. Second, the reliable variance from interview scores appears moderately predictive of outcomes that are relevant to consider in medical school admission. And third, the use of holistic review as a method of incorporating human judgement is not a valid alternative to mechanical/statistical approaches as the evidence clearly indicates that mechanistic methods are more predictive, reliable, cost efficient, and transparent.
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http://dx.doi.org/10.1080/10872981.2018.1522225 | DOI Listing |
Tunis Med
January 2025
Department of Rheumatology, Kassab Institute of Orthopaedics, Mannouba. Faculty of Medicine of Tunis, University of Tunis El Manar, Tunisia.
This framework was developed under the auspices of the Tunisian League Against Rheumatism (LITAR), coordinated by a project leader. The primary objective is to formulate recommendations for the management of spondyloarthritis, grounded in the development of questions structured according to the PICO model. This model defines four essential elements of a clinical question: P: Patient or Population or Problem, I: Intervention (the proposed action), C: Comparison (between diagnostic tests, treatments, etc.
View Article and Find Full Text PDFJ Med Syst
January 2025
Department of Computing, University of North Florida, 1 UNF Dr., Jacksonville, 32246, FL, USA.
The "no-show" problem in healthcare refers to the prevalent phenomenon where patients schedule appointments with healthcare providers but fail to attend them without prior cancellation or rescheduling. In addressing this issue, our study delves into a multivariate analysis over a five-year period involving 21,969 patients. Our study introduces a predictive model framework that offers a holistic approach to managing the no-show problem in healthcare, incorporating elements into the objective function that address not only the accurate prediction of no-shows but also the management of service capacity, overbooking, and idle resource allocation resulting from mispredictions.
View Article and Find Full Text PDFObjectives: Intensive care unit (ICU) clinicians stop antibiotics more often, with a negative infection: point-of-care test (PCR-POCT). Simulated cases of diagnostic uncertainty regarding infection resolution led clinicians to choose options such as procalcitonin (PCT) and/or PCR-POCTs +/- de-escalation to aid stop decisions. We hypothesised that a direct infection indicator, PCR-POCT, would influence stop judgements more than indirect PCT.
View Article and Find Full Text PDFSyst Rev
January 2025
Statistical Laboratory, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, UK.
Background: Scientific papers increasingly put forward scientific-based policy recommendations (SPRs) as a means of closing the circle of science, policy and practice. Assessing the quality of such SPRs is crucial, especially within the context of a systematic review. Here, we present ECR-P (Evidence Communication Rules for Policy)-a critical appraisal tool that we have developed, which can be used in assessing not only the quality of SPRs but also the quality of their evidence base and how effectively these have both been communicated.
View Article and Find Full Text PDFJ Educ Eval Health Prof
January 2025
Department of Surgery, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Purpose: This research presents an experimental study using validated questionnaires to quantitatively assess the outcomes of art-based observational training in medical students, residents, and specialists. The study tested the hypothesis that art-based observational training would lead to measurable effects on judgement skills (tolerance of ambiguity) and empathy in medical students and doctors.
Methods: An experimental cohort study with pre- and post-intervention assessments was conducted using validated questionnaires and qualitative evaluation forms to examine the outcomes of art-based observational training in medical students and doctors.
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