Evidence map›Paper›PMID 42040261›Full record

ArticleHealth care transitions2026

Ableism, ageism, and other biases in healthcare: The impact on young adult patients.

Jemma-Tiffany Rosewater, Sneha Dave, Meg Didier, Katherine Melton

Abstract read
In one paragraph

Article in Health care transitions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Jemma-Tiffany RosewaterGeneration Patient, Indianapolis, USA.
Sneha DaveGeneration Patient, Indianapolis, USA.
Meg DidierGeneration Patient, Indianapolis, USA.
Katherine MeltonGeneration Patient, Indianapolis, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Young adult patients, particularly those with chronic and rare conditions, face unique challenges related to bias and discrimination when navigating the healthcare system. Making up a minority of individuals with chronic conditions, young adult patients can face micro- and macro aggressions from healthcare professionals related to their age or abilities. The consequences of these biases have a profound impact on the physical and mental health of young adults with chronic conditions. The purpose of this brief report is to present the findings of a multidisciplinary roundtable discussion on the impacts of bias in healthcare on young adult patients. Methods: In a roundtable hosted by the patient-led advocacy organization Generation Patient, medical professionals, researchers, and young adult patients came together to discuss how ableism, ageism, and other biases affect young adult patients and identify solutions for how the healthcare system can begin to address this pervasive issue. Results: This roundtable proceedings document outlines patient and healthcare professional perspectives on the consequences of ableism, ageism and other types of bias faced by young adult patients, including dismissal, misdiagnosis, and power imbalances in the clinician-patient relationship. Conclusion: In this roundtable discussion, participants shared their vision for a more just healthcare system for vulnerable patients, including but not limited to young adults. Practice implications: By bringing together the voices of key partners, this roundtable serves as a call to action for clinicians and the healthcare system to work together to reduce the root causes and subsequent implications of bias and discrimination in healthcare.

Indexed as

AbleismChronic IllnessDismissal“Young Adult”

Identifiers

PMID42040261
PMCPMC13103581

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.