Disability, program access, empathy and burnout in US medical students: A national study
Bibliographic record
Abstract
OBJECTIVE: The objective of this study is to investigate whether self-disclosed disability and self-reported program access are associated with measures of empathy and burnout in a national sample of US medical students. METHODS: The authors obtained data from students who responded to the Association of Medical Colleges (AAMC) Year 2 Questionnaire (Y2Q) in 2019 and 2020. Data included demographic characteristics, personal variables, learning environment indicators, measures of burnout (Oldenburg Burnout Inventory for Medical Students), empathy (Interpersonal Reactivity Index) and disability-related questions, including self-reported disability, disability category and program access. Associations between disability status, program access, empathy and burnout were assessed using multivariable logistic regression models accounting for YQ2 demographic, personal-related and learning environment measures. RESULTS: Overall, 23 898 (54.2%) provided disability data and were included. Of those, 2438 (10.2%) self-reported a disability. Most medical students with disabilities (SWD) self-reported having program access through accommodations (1215 [49.8%]) or that accommodations were not required for access (824 [33.8%]). Multivariable models identified that compared with students without disabilities, SWD with and without program access presented higher odds of high exhaustion (1.50 [95% CI, 1.34-1.69] and 2.59 [95% CI, 1.93-3.49], respectively) and lower odds of low empathy (0.75 [95% CI, 0.67-.85] and 0.68 [95% CI, 0.52-0.90], respectively). In contrast, multivariable models for disengagement identified that SWD reporting lack of program access presented higher odds of high disengagement compared to students without disabilities (1.43 [95% CI, 1.09-1.87], whereas SWD with program access did not (1.09 [95% CI, 0.97-1.22]). CONCLUSIONS: Despite higher odds of high exhaustion, SWD were less likely to present low empathy regardless of program access, and SWD with program access did not differ from students without disabilities in terms of disengagement. These findings add to our understanding of the characteristics and experiences of SWD including their contributions as empathic future physicians.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".