Evidence map›Paper›PMID 41630429›Full record

ArticleHand (New York, N.Y.)2026

Access to Orthopedic Care for Deaf Patients With Distal Radius Fractures.

Sophia Sarang Shin Yin, Arezo Ahmadi, Yew Song Cheng, Lauren M Shapiro

Abstract read
In one paragraph

Article in Hand (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sophia Sarang Shin YinUniversity of California, San Francisco, USA.ORCID 0000-0002-9478-009X
Arezo AhmadiUniversity of California, San Francisco, USA.ORCID 0009-0006-3919-9442
Yew Song ChengUniversity of California, San Francisco, USA.
Lauren M ShapiroUniversity of California, San Francisco, USA.

Funding

Addressing Cross-Cultural Adaptation of Patient Reported Outcome Measures for Distal Radius FracturesK23AR082960 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Lauren M Shapiro · 2024 to 2026
$504k
NIAMS NIH HHS K23 AR082960
6 · The paper itself

Abstract

backgroundThis study aimed to determine whether deaf patients experience barriers to orthopedic care compared with hearing patients through evaluating time to appointment, appointment denial rates, and interpreter availability.

methodsResearchers called 132 randomly selected US orthopedic offices to request appointments for fictitious patients with distal radius fractures. Each office was called twice on the same weekday over different weeks-once for a hearing patient and once for a deaf patient communicating in American Sign Language (ASL). The primary outcome was time to appointment. Secondary analysis included provider type, ASL interpreter availability, interpreter modality, and requests for family interpretation. Differences in time to appointment with

resultsData from 132 clinics (63 academic and 69 community/private practices) were analyzed. The time to appointment for patients across all regions, practices, and providers was 3.9 days. Deaf patients experienced significantly longer wait times for physician appointments (4.96 vs 3.32 days,

conclusionsDistal radius fractures are common, and evidence suggests prompt care results in better outcomes and quicker return-to-work time. This study demonstrates statistically but not necessarily clinically significant delays for deaf patients seeking surgical appointments with MDs and reliance on ad hoc interpreters.

Indexed as

ad hoc interpretersappointment timedeaf patientsdistal radius fracturehealth equityhealth outcomesinterpretersign languagetime to appointment

Identifiers

PMID41630429
PMCPMC12867730

What OpenQuestion holds

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Registered trials

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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.