Evidence map›Paper›PMID 41910974›Full record

ArticleJAMA network open2026

Disability Accommodation Access and Requests in US Internal Medicine Residents With Disabilities.

Christopher J Moreland, Karina Pereira-Lima, Kathleen T Lee, Elizabeth M Viglianti, Ian A DeAndrea-Lazarus, Andrew Zeveney, Lisa M Meeks

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Christopher J MorelandDepartment of Medicine, Dell Medical School at the University of Texas at Austin, Austin.
Karina Pereira-LimaDepartment of Anesthesiology, University of Michigan, Ann Arbor.
Kathleen T LeeDepartment of Internal Medicine, Division of Pulmonary and Critical Care, University of Michigan, Ann Arbor.
Elizabeth M VigliantiDepartment of Internal Medicine, Division of Pulmonary and Critical Care, University of Michigan, Ann Arbor.
Ian A DeAndrea-LazarusDepartment of Medicine, Dell Medical School at the University of Texas at Austin, Austin.
Andrew ZeveneyAmerican College of Physicians, Philadelphia, Pennsylvania.
Lisa M MeeksDepartment of Medical Education, University of Illinois College of Medicine, Chicago.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Despite the growing number of residents with disabilities, barriers to equitable access persist in medical training. Program access to accommodation has been linked to improved training and mental health outcomes, but little is known about possible resident and program characteristics associated with access to and requests for needed accommodations. Objective: To examine demographic, training, and disability-related factors associated with program access and accommodation requests among internal medicine (IM) residents with disabilities. Design, Setting, and Participants: This national cross-sectional study looked at accredited IM residency programs in mainland US and Puerto Rico. Participants were IM residents who took the 2023 Internal Medicine In-Training Examination and reported having at least 1 type of disability. Main Outcomes and Measures: The primary outcomes were program access, defined as receiving accommodations or not needing them, and requesting needed accommodations. Multivariable logistic regression models were conducted for each of the outcomes. Results: Of 19 205 respondents, 1824 (9.5%) reported a disability; participants were predominantly men (979 men [53.7%]), US medical graduates (1398 participants [76.6%]), and enrolled in categorical IM programs (1532 participants [84.0%]). With regard to race, 340 participants (18.6%) were Asian, 415 (22.8%) were from groups underrepresented in medicine (including self-reported Black or African American or Afro-Caribbean; Latinx or Latino or Hispanic; Native American or American Indian or Indigenous or Alaskan Native; Native Hawaiian or Pacific Islander), and 823 (45.1%) were White. Among 1052 with complete accommodation information, 811 (77.1%) had program access and 241 (22.9%) did not. In multivariable regression models, having cognitive disabilities (adjusted odds ratio [aOR], 0.27; 95% CI, 0.15-0.49) and identifying as women (aOR, 0.55; 95% CI, 0.40-0.75), Asian (aOR, 0.53; 95% CI, 0.34-0.82) and underrepresented racial or ethnic groups (aOR, 0.58; 95% CI, 0.38-0.87) were associated with lower odds of program access. Among 699 residents coded as needing disability accommodations with classifiable responses, 200 (28.6%) did not request them. Fear of stigma (164 respondents [82.0%]) and unclear institutional processes (60 respondents [30.0%]) were the most cited reasons for nonrequest for needed accommodations. Requesting accommodations was less likely among residents with cognitive disabilities (aOR, 0.16; 95% CI, 0.08-0.31) and who identify as women (aOR, 0.37; 95% CI, 0.25-0.54), genderqueer or nonbinary (aOR, 0.11; 95% CI, 0.02-0.68), Asian (aOR, 0.50; 95% CI, 0.30-0.85), or underrepresented in medicine (aOR, 0.60; 95% CI, 0.37-0.97). Conclusions and Relevance: These findings suggest that despite growing disability representation, substantial inequities in access to and requests for accommodations persisted for IM residents with disabilities, particularly those with cognitive disabilities and marginalized identities. Institutions should implement inclusive, transparent policies to foster psychological safety and disability inclusion.

Indexed as

Internal MedicineInternship and ResidencyPersons with DisabilitiesAdultCross-Sectional StudiesFemaleHumansMalePuerto RicoUnited States

Identifiers

PMID41910974
PMCPMC13036577

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.