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Record W4310602623 · doi:10.1111/medu.14995

Disability, program access, empathy and burnout in US medical students: A national study

2022· article· en· W4310602623 on OpenAlexaff
Lisa M. Meeks, Karina Pereira‐Lima, Melissa Plegue, Neera R. Jain, Erene Stergiopoulos, Catherine Stauffer, Zoie C. Sheets, Bonnelin K. Swenor, Nicole Taylor, Amy Addams, Christopher J. Moreland

Bibliographic record

VenueMedical Education · 2022
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsUniversity of TorontoUniversity of British Columbia
FundersAnschutz Medical Campus, University of Colorado
KeywordsDisengagement theoryEmpathyBurnoutLogistic regressionOdds ratioClinical psychologyOddsPsychologyMedicineGerontologyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0100.000

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.

Opus teacher head0.055
GPT teacher head0.548
Teacher spread0.493 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations45
Published2022
Admission routes1
Has abstractyes

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