Evidence map›Paper›PMID 40700379›Full record

Observational studyPloS one2025

Effects of long COVID on healthcare utilization.

Michael Gottlieb, Erica S Spatz, Huihui Yu, Imtiaz Ebna Mannan, Michelle Santangelo, Caitlin Malicki, Nicole L Gentile, Rachel E Geyer, Alex Charlton, Jonathan W Dyal and 13 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in PloS one, 2025. 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

23 authors.

Michael GottliebDepartment of Emergency Medicine, Rush University Medical Center, Chicago, Illinois, United States of America.
Erica S SpatzSection of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.
Huihui YuSection of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.
Imtiaz Ebna MannanYale Center for Outcomes Research and Evaluation, Yale School of Medicine, New Haven, Connecticut, United States of America.
Michelle SantangeloDepartment of Emergency Medicine, Rush University Medical Center, Chicago, Illinois, United States of America.
Caitlin MalickiDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.ORCID https://orcid.org/0000-0003-3436-6791
Nicole L GentileDepartment of Family Medicine, University of Washington, Seattle, Washington, United States of America.
Rachel E GeyerDepartment of Family Medicine, University of Washington, Seattle, Washington, United States of America.
Alex CharltonCenter for Connected Care, Thomas Jefferson University, Philadelphia, Pennsylvania, United States of America.
Jonathan W DyalDepartment of Emergency Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America.
Joann G ElmoreDivision of General Internal Medicine & Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America.
Kristyn GatlingDivision of Infectious Diseases, Department of Medicine, Rush University Medical Center, Chicago, Illinois, United States of America.
Mandy J HillDepartment of Population Health and Health Disparities, University of Texas Medical Branch at Galveston, Galveston, Texas, United States of America.ORCID https://orcid.org/0000-0001-9778-358X
Juan Carlos C MontoyDepartment of Emergency Medicine, University of California - San Francisco, San Francisco, California, United States of America.ORCID https://orcid.org/0000-0001-7438-0243
Kelli N O'LaughlinDepartments of Emergency Medicine and Global Health, University of Washington, Seattle, Washington, United States of America.
Kristin L RisingCenter for Connected Care, Thomas Jefferson University, Philadelphia, Pennsylvania, United States of America.
Sharon SaydahNational Center for Immunizations and Respiratory Diseases, Centers for Disease Control & Prevention, Atlanta, Georgia, United States of America.
Kari A StephensDepartment of Family Medicine, University of Washington, Seattle, Washington, United States of America.
Ralph C WangDepartment of Emergency Medicine, University of California - San Francisco, San Francisco, California, United States of America.
Lauren E WiskDivision of General Internal Medicine & Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America.
Arjun K VenkateshYale Center for Outcomes Research and Evaluation, Yale School of Medicine, New Haven, Connecticut, United States of America.
Robert A WeinsteinDivision of Infectious Diseases, Department of Medicine, Rush University Medical Center, Chicago, Illinois, United States of America.ORCID https://orcid.org/0000-0002-3390-858X
Innovative Support for Patients with SARS-CoV-2 Infections Registry (INSPIRE) Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile most research on Long COVID (LC) has focused on symptoms and quality of life, there remains a critical need to better understand the effect of LC on resource utilization. This study sought to determine the type and amount of healthcare utilization among participants with versus without LC.

methodsThis was a secondary analysis of a prospective, longitudinal, multicenter U.S. study of adult participants with symptomatic COVID-19, confirmed with testing, who completed 3-month post-infection surveys and had electronic health record data for at least 180 days pre- and post-index testing. We excluded participants with any COVID-19 infections within the 6 months following enrollment. Consistent with prior work, LC was defined as ≥3 post-infectious symptoms at 3 months, while those with <3 symptoms were categorized as not having LC. Our primary outcome was to compare the change in visit types between pre- and post-index testing (hospitalization, emergency department visit, office visit, procedure, telehealth, and other). As secondary outcomes, we assessed differences in visit complexity using the summative length of each encounter for each category as a measure of total healthcare usage.

resultsA total of 847 participants met inclusion criteria (179 LC, 668 non-LC). When compared with the pre-index period, there was an overall increase in visit numbers of all six visit categories during the post-index period for all groups, most pronounced in office and telehealth visits. When compared with the non-LC group, the LC group was less likely to have ED visits (OR: 0.1; 95% CI 0.0-0.5). However, among those with LC who had at least one hospitalization, they were more likely to have additional hospitalizations (OR: 2.6; 95% CI 1.5-4.6). Visit length for office visits and hospitalization in the LC group was increased when compared with the non-LC group, though this diminished after adjustment for patient baseline characteristics.

conclusionsAll participants who were infected with SARS-CoV-2 had a marked increase in healthcare utilization during the subsequent 180 days. The LC group had significantly higher rates of additional hospitalization compared with those without LC, which may help to inform healthcare resource planning.

Indexed as

COVID-19Patient Acceptance of Health CareAdultAgedEmergency Service, HospitalFemaleHospitalizationHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesSARS-CoV-2Secondary Data AnalysisTelemedicineUnited States

Identifiers

PMID40700379
PMCPMC12286388

What OpenQuestion holds

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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.