Evidence map›Paper›PMID 39211818›Full record

ArticleEthnicity & disease2024

Multilevel Determinants of Long COVID and Potential for Telehealth Intervention.

Molly Jacobs, Charles Ellis, Irene Estores

Abstract read
In one paragraph

Article in Ethnicity & disease, 2024. 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
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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

3 authors.

Molly JacobsDepartment of Health Services Research, Management and Policy, College of Public Health and Health Professions, University of Florida, Gainesville, FL.
Charles EllisDepartment of Speech, Language and Hearing Sciences, College of Public Health and Health Professions, University of Florida, Gainesville, FL.
Irene EstoresDepartment of Medicine, University of Florida College of Medicine, University of Florida, Gainesville, FL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Post-coronavirus disease 2019 (COVID-19) syndrome, or long COVID, has a variety of symptoms, but little is known about the condition. This study evaluated the association between individual factors, social determinants of health, and the likelihood of long COVID by assessing internet usage as an indicator of viable access to telehealth. Methods: Data from the 2022 National Health Interview Survey identified adults who (1) reported a previous COVID-19-positive test and/or diagnosis and (2) experienced long COVID. A 2-stage selection model predicted COVID-19 infection in the first stage and long COVID in the second stage. To test the potential use of telehealth, binary dependent variable regression evaluated internet usage among respondents with long COVID. Results: About 40% (N=10,318) of respondents had tested positive/been diagnosed with COVID-19, but less than 20% of them (N=1797) had long COVID. Although older respondents were less likely to have COVID (odds ratio [OR]=0.48; 95% confidence interval [CI]=0.44, 0.53), they were more likely to experience long COVID (OR=1.63; CI=1.37, 1.93). Relative to White individuals, Black individuals were less likely to have COVID (OR=0.78; CI=0.69, 0.89) but significantly more likely (OR=1.21; CI=1.09, 1.64) to experience long COVID. Long COVID was also more likely among low-income earners (first income-to-poverty ratio quartile OR=1.40, CI=1.14, 1.72; second income-to-poverty ratio OR=1.37, CI=1.14, 1.64) and those without a college degree (OR=1.42; CI=1.01, 1.66). There were no statistically significant differences in internet access between racial, geographic, or income groups. Conclusion: Long COVID is significantly more likely among Black individuals and low-income households than among their counterparts, but with few recourses available, telehealth service delivery could be a feasible intervention mechanism.

Indexed as

COVID-19TelemedicineAdolescentAdultAgedFemaleHumansInternet UseMaleMiddle AgedPost-Acute COVID-19 SyndromeSARS-CoV-2Social Determinants of HealthSocioeconomic FactorsUnited StatesYoung AdultCOVID-19IncomeLong COVIDRaceSocial Determinants of HealthTelehealth

Identifiers

PMID39211818
PMCPMC11354824

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.