Evidence map›Paper›PMID 38409626›Full record

ArticleJournal of community health2024

A Comparative Analysis of the Demographics and Zip Codes of Patients Seen at the Indiana University Student Outreach Clinic.

Lauryn Padgett, Mary Slaughter, Radha Patel, Nirupama Devanathan, Sylk Sotto-Santiago, Javier Sevilla-Martir

Abstract readComparative Study
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In one paragraph

Article in Journal of community health, 2024. 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

6 authors.

Lauryn PadgettIndiana University School of Medicine, Indianapolis, IN, USA. laupadge@iu.edu.ORCID 0000-0003-1000-0912
Mary SlaughterIndiana University School of Medicine, Indianapolis, IN, USA.
Radha PatelIndiana University School of Medicine, Indianapolis, IN, USA.
Nirupama DevanathanIndiana University School of Medicine, Indianapolis, IN, USA.
Sylk Sotto-SantiagoIndiana University School of Medicine, Indianapolis, IN, USA.
Javier Sevilla-MartirIndiana University School of Medicine, Indianapolis, IN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within a small geographic area, Marion County contains a stark spectrum of health outcomes and socioeconomic statuses. The Indiana University Student Outreach Clinic (IUSOC) serves as a safety net provider, offering free health and social services in the Near Eastside neighborhood of Indianapolis. The aim of this study was to characterize the demographics and geographic distribution of the IUSOC's patient population. From January to September 2023, 612 patients visited the IUSOC, and 460 self-identified as Marion County residents. 63.9% of patients were between 45 and 64 years old. 66.8% were Non-Hispanic (NH) Black, and 23.3% were Hispanic. 18.9% spoke Spanish and had limited English proficiency. Based on the Distressed Communities Index (DCI), 58.7% lived in "Distressed" zip codes, indicating economic vulnerability and disparities. The zip code with the greatest number of IUSOC patients had the highest rate of uninsured adults in Marion County. IUSOC patients are primarily middle-aged minorities who live in zip codes with low socioeconomic rankings by DCI. This information can be used to improve community resource referral pathways in the clinic.

Indexed as

Socioeconomic FactorsAdolescentAdultAgedBlack or African AmericanCommunity-Institutional RelationsFemaleHispanic or LatinoHumansIndianaMaleMedically UninsuredMiddle AgedSafety-net ProvidersUniversitiesWhiteFree clinicHealth equityMedically underservedStudent-run clinic

Identifiers

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.