Evidence map›Paper›PMID 40309359›Full record

ArticleJournal of student-run clinics2023

Characteristics of Patients with Dermatologic Conditions in a Student-Run Free Clinic: A Retrospective Study.

Alexander M Hammond, Kristin N Smith, Macartney Welborn, Victoria Dukharan, Anshul Daga, Chloe Warpinski, Oliver T Nguyen, Kartik Motwani, Kiran Motaparthi

Abstract read
In one paragraph

Article in Journal of student-run clinics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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5 · Who and what money

Authors and funding

9 authors.

Alexander M Hammond1University of Florida College of Medicine, Gainesville, Florida, USA.
Kristin N Smith1University of Florida College of Medicine, Gainesville, Florida, USA.
Macartney WelbornDepartment of Dermatology, University of Florida College of Medicine, Gainesville, Florida, USA.
Victoria DukharanUniversity of Central Florida College of Medicine, Orlando, Florida, USA.
Anshul Daga1University of Florida College of Medicine, Gainesville, Florida, USA.
Chloe Warpinski1University of Florida College of Medicine, Gainesville, Florida, USA.
Oliver T NguyenDepartment of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA.
Kartik Motwani1University of Florida College of Medicine, Gainesville, Florida, USA.
Kiran MotaparthiDepartment of Dermatology, University of Florida College of Medicine, Gainesville, Florida, USA.

Funding

Ethnographic investigation of factors affecting conceptualization and provision of social prescribing in outpatient primary care clinics in the United StatesF30MD018276 · NIMHD · UNIVERSITY OF FLORIDA · PI Chloe L Warpinski · 2023 to 2026
$188k
NIMHD NIH HHS F30 MD018276
6 · The paper itself

Abstract

Background: The Equal Access Clinic is a free, student-run clinic affiliated with the University of Florida in Gainesville, Florida. Four days a week, a general clinic is held at various sites, providing free healthcare to patients in North Florida. Once a month, a specialty clinic for dermatology is held based on a referral system from general clinics. We aimed to characterize patients' demographics and diagnoses who received dermatologic care at a free clinic in North Florida. Methods: A retrospective chart review was completed for patients seen at Equal Access Clinic for a dermatology diagnosis from 2013 to 2020 (n=864). Results: One third of patients were seen for a chronic dermatology condition. Patients who were white and higher earners were more likely to travel further distances for care. Conclusions: These findings highlight the importance of improving access of dermatology care to underserved areas and may be accomplished in part by increasing access to transportation to clinics. Limitations include the retrospective nature of our chart review and the reliance on zip code to estimate median household income. Additionally, the patients in this study were seen by primary care physicians, rather than dermatologists.

Identifiers

PMID40309359
PMCPMC12043332

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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.