Evidence map›Paper›PMID 37899735›Full record

ArticleChronic illness2025

Gaps in benefits, awareness, and comprehension that leave those with long COVID vulnerable.

Jane A Evered, Alessandra LaJeunesse, Madison Wynn, Emily Mrig, Mark Schlesinger, Rachel Grob

Abstract read
In one paragraph

Article in Chronic illness, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Jane A EveredDepartment of Family Medicine and Community Health, University of Wisconsin-Madison, Madison, United States.ORCID 0000-0003-0098-1171
Alessandra LaJeunesseDepartment of Family Medicine and Community Health, University of Wisconsin-Madison, Madison, United States.
Madison WynnDepartment of Family Medicine and Community Health, University of Wisconsin-Madison, Madison, United States.
Emily MrigDepartment of Clinical Pharmacy, University of California San Francisco, San Francisco, USA.
Mark SchlesingerHealth Policy & Management, Yale University, New Haven, United States.
Rachel GrobDepartment of Family Medicine and Community Health, University of Wisconsin-Madison, Madison, United States.

Funding

BUILDING THE EVIDENCE BASE FOR APPROPRIATE AND EFFICIENT IMPLEMENTATION OF EMERGING GENOMIC TESTS FOR DISEASE MANAGEMENT AND SCREENINGR01HG011792 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PHILLIPS, KATHRYN A · 2021 to 2025
$4.6M
NHGRI NIH HHS R01 HG011792
6 · The paper itself

Abstract

ObjectivesThe COVID-19 pandemic has left many suffering from long COVID, an episodic and debilitating chronic condition affecting people's ability to work and manage medical expenses. Though the Biden Administration has committed to conducting research and building support programs to alleviate the strain on those affected, in practice, static eligibility criteria for unemployment and disability benefits, patchy insurance coverage, and insufficient paid leave programs have left many people vulnerable. Given the magnitude of long COVID and the dearth to date of large-scale studies about its financial consequences, a focused qualitative analysis of lived experiences is warranted to understand and highlight gaps in the policy landscape.MethodsWe conducted in-depth semi-structured interviews from 2020 to 2022 with 25 people with experience of long COVID living predominately in the Midwest.ResultsOur inductive analysis revealed ways people became financially exhausted by uncertain medical care costs and precarious employment that left them trying, often alone, to access benefits. People described both experiences with workplace benefits and attempts to access federal benefits to address unstable employment situations created by protracted and uncertain functional impairments.DiscussionWe explore pre- and post-pandemic era unemployment, disability, and insurance policies and offer recommendations for better supporting people with long COVID.

Indexed as

COVID-19Vulnerable PopulationsAdultAgedChronic DiseaseEmploymentFemaleHumansInsurance CoverageInterviews as TopicMaleMiddle AgedPersons with DisabilitiesQualitative ResearchSARS-CoV-2UnemploymentdisabilityinsuranceLong COVIDunemploymentUnited States

Identifiers

PMID37899735
PMCPMC11058107

What OpenQuestion holds

Textmetadata
LicenceTDM
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.