Evidence map›Paper›PMID 35195110›Full record

ArticleJournal of occupational and environmental medicine2022

Trends and Disparities in the Use of Telehealth Among Injured Workers During the COVID-19 Pandemic.

Vi T Le, Deborah Fulton-Kehoe, Jeanne M Sears, Esi W Nkyekyer, Dawn M Ehde, Morgan Young, Gary M Franklin

Abstract read
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In one paragraph

Article in Journal of occupational and environmental medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

7 authors.

Vi T LeDepartment of Epidemiology, University of Washington, Seattle, Washington (Le), Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington (Fulton-Kehoe, Sears, Franklin), Department of Health Systems and Population Health, University of Washington, Seattle, Washington (Sears), Harborview Injury Prevention and Research Center, Seattle, Washington (Sears), Institute for Work and Health, Toronto, Ontario, Canada (Sears), Department of Medicine, University of Washington School of Medicine, Seattle, Washington (Nkyekyer), Department of Rehabilitation Medicine, University of Washington, Seattle, Washington (Ehde), Washington State Department of Labor and Industries, Tumwater, Washington (Young, Franklin), Department of Neurology, University of Washington, Seattle, Washington (Franklin).
Deborah Fulton-Kehoe
Jeanne M Sears
Esi W Nkyekyer
Dawn M Ehde
Morgan Young
Gary M Franklin

Funding

Biostatistics, Epidemiologic & Bioinformatic Training in Environmental HealthT32ES015459 · NIEHS · UNIVERSITY OF WASHINGTON · PI June T. Spector · 2009 to 2026
$10.6M
NIEHS NIH HHS T32 ES015459
6 · The paper itself

Abstract

objectiveTo describe telehealth trends within a population-based workers' compensation system during the COVID-19 pandemic, and to assess telehealth utilization by sociodemographic characteristics.

methodsThis cross-sectional study used Washington State workers' compensation claims and medical billing data from January 2019 to October 2020.

resultsTelehealth use averaged 1.2% of medical bills pre-pandemic, peaked in April 2020 at 8.8%, and leveled off to around 3.6% from July to October 2020. Telehealth utilization differed significantly by age, sex, number of dependents, injury, industry, and receipt of interpreter services. Workers residing in counties with higher population, lower poverty rates, and greater Internet access had higher telehealth usage.

conclusionsThere were dramatic shifts in telehealth; usage differed by sociodemographic characteristics. Further studies evaluating disparities in tele-health access among injured workers are needed.

Indexed as

COVID-19TelemedicineCross-Sectional StudiesHumansPandemicsWorkers' Compensation

Identifiers

PMID35195110
PMCPMC9038672

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.