Evidence map›Paper›PMID 38598239›Full record

ArticleJAMA network open2024

Race, Ethnicity, and Delayed Time to COVID-19 Testing Among US Health Care Workers.

DaMarcus E Baymon, J Priyanka Vakkalanka, Anusha Krishnadasan, Nicholas M Mohr, David A Talan, Melissa Briggs Hagen, Kelli Wallace, Karisa K Harland, Imoigele P Aisiku, Peter C Hou and 1 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. SARS-CoV-2 anti-N antibodies among healthcare personnel without previous known COVID-19.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024
    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

11 authors at 4 institutions in 1 country.

DaMarcus E BaymonDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
J Priyanka VakkalankaDepartment of Emergency Medicine, Carver College of Medicine, University of Iowa, Iowa City.
Anusha KrishnadasanOlive View-University of California, Los Angeles Education and Research Institute, Los Angeles.
Nicholas M MohrDepartment of Emergency Medicine, Carver College of Medicine, University of Iowa, Iowa City.
David A TalanOlive View-University of California, Los Angeles Education and Research Institute, Los Angeles.
Melissa Briggs HagenNational Center for Immunizations and Respiratory Diseases, Centers for Disease Control & Prevention, Atlanta, Georgia.
Kelli WallaceUniversity of Iowa Holden Comprehensive Cancer Center, University of Iowa, Iowa City.
Karisa K HarlandDepartment of Emergency Medicine, Carver College of Medicine, University of Iowa, Iowa City.
Imoigele P AisikuDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Peter C HouDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Preventing Emerging Infections Through Vaccine Effectiveness Testing (PREVENT) project
University of Iowa · USBrigham and Women's Hospital · USUniversity of California, Los Angeles · USCenters for Disease Control and Prevention · US

Funding

NCEZID CDC HHS U01 CK000643
6 · The paper itself

Abstract

Importance: Access to COVID-19 testing is critical to reducing transmission and supporting early treatment decisions; when made accessible, the timeliness of testing may also be an important metric in mitigating community spread of the infection. While disparities in transmission and outcomes of COVID-19 have been well documented, the extent of timeliness of testing and the association with demographic factors is unclear. Objectives: To evaluate demographic factors associated with delayed COVID-19 testing among health care personnel (HCP) during the COVID-19 pandemic. Design, Setting, and Participants: This cross-sectional study used data from the Preventing Emerging Infections Through Vaccine Effectiveness Testing study, a multicenter, test-negative, case-control vaccine effectiveness study that enrolled HCP who had COVID-19 symptoms and testing between December 2020 and April 2022. Data analysis was conducted from March 2022 to Junne 2023. Exposure: Displaying COVID-19-like symptoms and polymerase chain reaction testing occurring from the first day symptoms occurred up to 14 days after symptoms occurred. Main Outcomes and Measures: Variables of interest included patient demographics (sex, age, and clinical comorbidities) and COVID-19 characteristics (vaccination status and COVID-19 wave). The primary outcome was time from symptom onset to COVID-19 testing, which was defined as early testing (≤2 days) or delayed testing (≥3 days). Associations of demographic characteristics with delayed testing were measured while adjusting for clinical comorbidities, COVID-19 characteristics, and test site using multivariable modeling to estimate relative risks and 95% CIs. Results: A total of 5551 HCP (4859 female [82.9%]; 1954 aged 25-34 years [35.2%]; 4233 non-Hispanic White [76.3%], 370 non-Hispanic Black [6.7%], and 324 non-Hispanic Asian [5.8%]) were included in the final analysis. Overall, 2060 participants (37.1%) reported delayed testing and 3491 (62.9%) reported early testing. Compared with non-Hispanic White HCP, delayed testing was higher among non-Hispanic Black HCP (adjusted risk ratio, 1.18; 95%CI, 1.10-1.27) and for non-Hispanic HCP of other races (adjusted risk ratio, 1.17; 95% CI, 1.03-1.33). Sex and age were not associated with delayed testing. Compared with clinical HCP with graduate degrees, all other professional and educational groups had significantly delayed testing. Conclusions and Relevance: In this cross-sectional study of HCP, compared with non-Hispanic White HCP and clinical HCP with graduate degrees, non-Hispanic Black HCP, non-Hispanic HCP of other races, and HCP all other professional and education backgrounds were more likely to have delayed COVID-19 testing. These findings suggest that time to testing may serve as a valuable metric in evaluating sociodemographic disparities in the response to COVID-19 and future health mitigation strategies.

Indexed as

COVID-19COVID-19 TestingCross-Sectional StudiesEthnicityFemaleHealth PersonnelHumansMalePandemics

Identifiers

PMID38598239
PMCPMC11007575
OpenAlexW4394693109

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.