Evidence map›Paper›PMID 42004523›Full record

ArticlePreventive medicine reports2026

Exploring Long COVID diagnostic equity by sex, race and ethnicity, and insurance type.

Kevin Petranu, Tiffany Ford, Denise Henley, Ebenezer Hammond, John Henley, Melvin Crawford, Zella Coleman, Jana Hirschtick

Abstract read
In one paragraph

Article in Preventive medicine reports, 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

8 authors.

Kevin PetranuAdvocate Aurora Research Institute, Aurora Sinai, Milwaukee, WI, USA.
Tiffany FordDivision of Community Health Sciences, School of Public Health, University of Illinois Chicago, Chicago, IL, USA.
Denise HenleyIndependent Community Partner, Chicago, IL, USA.
Ebenezer HammondIndependent Community Partner, Chicago, IL, USA.
John HenleyIndependent Community Partner, Chicago, IL, USA.
Melvin CrawfordIndependent Community Partner, Chicago, IL, USA.
Zella ColemanIndependent Community Partner, Chicago, IL, USA.
Jana HirschtickAdvocate Aurora Research Institute, Aurora Sinai, Milwaukee, WI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Our study explored Long COVID diagnostic inequity by comparing the demographic profile of patients diagnosed with Long COVID to patients diagnosed with COVID-19. Methods: Using electronic health record data from Advocate Health-Midwest between March 1, 2020, to November 1, 2023, we compared the proportion of all patients with documentation of Long COVID versus COVID-19 by race/ethnicity, sex, insurance type, and varying combinations of these characteristics. Results: Relative to COVID-19, a greater proportion of patients diagnosed with Long COVID were female (63.7% vs. 58.0%), non-Hispanic (NH) White (66.4% vs 62.9%), or covered by private insurance (53.8% vs 51.3%), and a lower proportion were Hispanic (12.1% vs. 14.3%) or covered by Medicaid (11.9% vs. 14.3%). Among patients with Medicaid, NH Black patients were underrepresented by 5.4 percentage points in the Long COVID sample vs. COVID-19 (25.2% vs. 30.6%), while NH White patients were overrepresented by 6.7 percentage points in the Long COVID sample compared to COVID-19 (48.2% vs. 41.5%). Conclusions: Long COVID diagnostic estimates may be skewed towards patients that are more willing and able to seek care, while patients who experience multiple forms of disadvantage may be at risk for underdiagnosis due to compounding barriers to diagnosis.

Indexed as

COVID-19Diagnostic inequityElectronic health record dataHealth inequityLong COVID

Identifiers

PMID42004523
PMCPMC13089053

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.