Creative Approaches to the Inclusion of Medical Students With Disabilities

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/156200/2/aet210425.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/156200/1/aet210425_am.pd

The Performance and Trajectory of Medical Students With Disabilities: Results From a Multisite, Multicohort Study.

PURPOSE: To conduct a post-Americans with Disabilities Act Amendments Act of 2008 multisite, multicohort study called the Pathways Project to assess the performance and trajectory of medical students with disabilities (SWDs). METHOD: From June to December 2020, the authors conducted a matched cohort study of SWDs and nondisabled controls from 2 graduating cohorts (2018 and 2019) across 11 U.S. MD-granting medical schools. Each SWD was matched with 2 controls, one from their institution and, whenever possible, one from their cohort for Medical College Admission Test score and self-reported gender. Outcome measures included final attempt Step 1 and Step 2 Clinical Knowledge scores, time to graduation, leave of absence, matching on first attempt, and matching to primary care. RESULTS: A total of 171 SWDs and 341 controls were included; the majority of SWDs had cognitive/learning disabilities (118/171, 69.0%). Compared with controls, SWDs with physical/sensory disabilities had similar times to graduation (88.6%, 95% confidence interval [CI]: 77.0, 100.0 vs 95.1%, 95% CI: 90.3, 99.8; P = .20), Step 1 scores (229.6 vs 233.4; P = .118), and match on first attempt (93.9%, 95% CI: 86.9, 100.0 vs 94.6%, 95% CI: 91.8, 97.4; P = .842), while SWDs with cognitive/learning disabilities had lower Step 1 scores (219.4; P < .001) and were less likely to graduate on time (81.2%, 95% CI: 69.2, 93.2; P = .003) and match on first attempt (85.3%, 95% CI: 78.0, 92.7; P = .009). Accommodated SWDs had Step 1 scores that were 5.9 points higher than nonaccommodated SWDs (95% CI: -0.7, 12.5; P = .08). CONCLUSIONS: Structural barriers remain for SWDs with cognitive/learning disabilities, which could be partially mitigated by accommodations on high-stakes exams

Design and Rationale for the Use of Magnetic Resonance Imaging Biomarkers to Predict Diabetes After Acute Pancreatitis in the Diabetes RElated to Acute Pancreatitis and Its Mechanisms Study: From the Type 1 Diabetes in Acute Pancreatitis Consortium

This core component of the Diabetes RElated to Acute pancreatitis and its Mechanisms (DREAM) study will examine the hypothesis that advanced magnetic resonance imaging (MRI) techniques can reflect underlying pathophysiologic changes and provide imaging biomarkers that predict diabetes mellitus (DM) following acute pancreatitis (AP). A subset of participants in the DREAM study will enroll and undergo serial MRI examinations using a specific research protocol. We aim to differentiate at-risk individuals from those who remain euglycemic by identifying parenchymal features following AP. Performing longitudinal MRI will enable us to observe and understand the natural history of post-AP DM. We will compare MRI parameters obtained by interrogating tissue properties in euglycemic, prediabetic and incident diabetes subjects and correlate them with metabolic, genetic, and immunological phenotypes. Differentiating imaging parameters will be combined to develop a quantitative composite risk score. This composite risk score will potentially have the ability to monitor the risk of DM in clinical practice or trials. We will use artificial intelligence, specifically deep learning, algorithms to optimize the predictive ability of MRI. In addition to the research MRI, the DREAM study will also correlate clinical computerized tomography and MRI scans with DM development