Evidence map›Paper›PMID 39930426›Full record

ArticleBMC public health2025

Healthcare utilization patterns before and after a long COVID diagnosis: a case-control study.

Rick DeVoss, Elizabeth J Carlton, Sarah E Jolley, Marcelo C Perraillon

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

4 authors.

Rick DeVossColorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA. rick.devoss@cuanschutz.edu.
Elizabeth J CarltonColorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.
Sarah E JolleySchool of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.
Marcelo C PerraillonColorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
Health Insurance and Disparities: More than AccessR01CA288259 · NCI · UNIVERSITY OF COLORADO DENVER · PI Cathy J Bradley, Marcelo Coca Perraillon · 2025 to 2026
$885k
AHRQ HHS 1U18HS029943-01AHRQ HHS U18 HS029943NCI NIH HHS P30 CA046934NCI NIH HHS R01 CA288259NIH HHS P30CA046934
6 · The paper itself

Abstract

backgroundDocumenting Long COVID cases has been challenging partly due to the lack of population-level data and uncertain diagnostic criteria, hindering the ability to ascertain healthcare utilization patterns over time. The objective of this study is to examine the characteristics and healthcare utilization patterns of Long COVID patients in Colorado pre- and post-diagnosis compared to controls.

methodsRetrospective, longitudinal case-control study using a 100% sample of Colorado's All-Payer Claims Database. The sample includes individuals 18 or older diagnosed with Long COVID between October 1, 2021, and August 1, 2022, with patients followed until August 2023. Long COVID was identified using the International Classification of Diseases, 10th Revision, U09.9 code in medical insurance claims. Analysis of healthcare utilization required one year of continuous enrollment before and after diagnosis. Controls were matched 2:1 on age group, sex, payer, and index month to account for contemporaneous trends in utilization.

results26,358 individuals were ever diagnosed with Long COVID, resulting in a claims-based prevalence of 674 per 100,000 during the study period (population 3,906,402 individuals). Of these, 12,698 individuals had continuous enrollment and a Long COVID diagnosis: mean (SD) age, 59.0 (17.1); 65.3% female; 60.1% white; 83.0% residing in urban areas. The Long COVID sample was matched with 25,376 controls. Before diagnosis, 17% of Long COVID patients were hospitalized at least once, and 40% visited an emergency department on at least one occasion. Within the year following diagnosis, utilization of acute healthcare services significantly decreased relative to controls: hospitalizations, -6.1percentage points (p.p.), emergency department visits, -7.7 p.p., whereas outpatient services and medications increased: office visits, 3.6 p.p.; specialist office visits, 4.7 p.p.; and 5.2 new medications, (controls: 2.8). Changes in diagnoses of some conditions (e.g., metastatic carcinomas and lung cancer) were similar between groups. CONCLUSIONS AND RELEVANCE: Long COVID patients increased outpatient healthcare utilization following a diagnosis, switching from acute care settings. The change in service settings among this population suggests that diagnosis could lead to better patient management. Healthcare utilization among these patients is high, underscoring the need to understand the Long COVID burden on healthcare systems with population-level data.

Indexed as

COVID-19Patient Acceptance of Health CareAdolescentAdultAgedCase-Control StudiesColoradoFemaleHospitalizationHumansLongitudinal StudiesMaleMiddle AgedRetrospective StudiesYoung AdultCancerHealthcare utilizationLong COVIDPASCPCC

Identifiers

PMID39930426
PMCPMC11812174

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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.