Evidence map›Paper›PMID 42179895›Full record

ArticleJAAD international2026

Patient-specific and provider-specific predictors of urgent care referral to dermatology: A retrospective cohort and survey study.

Amanda Rodriguez Orengo, Alison Moynihan, Christopher T Richardson, Clayton Green, Julie Ryan Wolf

Abstract read
In one paragraph

Article in JAAD international, 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

5 authors.

Amanda Rodriguez OrengoUniversity of Rochester School of Medicine and Dentistry, Rochester, New York.
Alison MoynihanDepartment of Dermatology, University of Rochester Medical Center, Rochester, New York.
Christopher T RichardsonDepartment of Dermatology, University of Rochester Medical Center, Rochester, New York.
Clayton GreenDepartment of Dermatology, University of Rochester Medical Center, Rochester, New York.
Julie Ryan WolfDepartment of Dermatology, University of Rochester Medical Center, Rochester, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Some patients are referred unnecessarily from urgent care (UC) to dermatology, while others who need additional care are not referred or do not complete the referral, highlighting the need for improved triage of skin concerns at UC centers. Objectives: To identify factors that predict UC referral to dermatology and to better understand UC perspectives on improving urgent access for skin concerns. Methods: This study includes a retrospective nominal logistic regression cohort analysis of 6988 skin-related UC encounters to identify predictors of referral to dermatology and a survey of UC perspectives on managing dermatologic conditions and improving dermatology access. Results: Non-White patients and those evaluated at UC sites closer to dermatology had higher odds of referral. Uninsured patients and those requiring procedures or ongoing follow-up were also more likely to be referred. Dermatology education for UC providers, teledermatology, and urgent-access clinics were favored to improve dermatologic care access. Limitations: Limitations include single-system design, unmeasured provider factors, limited disease severity assessment, and potential survey response bias. Conclusion: Several patient-related factors and UC proximity to dermatology influence UC referral to dermatology. Dermatology training for nondermatologists, teledermatology services to support UC, and dermatology-specific urgent-access clinics may improve patient triage and reduce unnecessary referrals.

Indexed as

accessconsultsdemographicsdermatologyreferralsteledermatologyurgent care

Identifiers

PMID42179895
PMCPMC13196024

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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.