Evidence map›Paper›PMID 34195172›Full record

ArticleFrontiers in public health2021

Training Needs of Community Health Workers Facing the COVID-19 Pandemic in Texas: A Cross-Sectional Study.

Courtney Byrd-Williams, Mollie Ewing, E Lee Rosenthal, Julie Ann St John, Paige Menking, Floribella Redondo, Stephanie Sieswerda

Abstract read
In one paragraph

Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

7 authors.

Courtney Byrd-WilliamsHealth Promotion and Behavioral Sciences, Michael & Susan Dell Center for Healthy Living at The University of Texas Health Science Center at Houston (UTHealth) School of Public Health in Austin, Austin, TX, United States.
Mollie EwingMichael & Susan Dell Center for Healthy Living at The University of Texas Health Science Center at Houston (UTHealth) School of Public Health in Austin, Austin, TX, United States.
E Lee RosenthalDepartment of Medical Education, Paul L. Foster School of Medicine, Texas Tech University Health Science Center, El Paso, TX, United States.
Julie Ann St JohnJulia Jones Matthews Department of Public Health, Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center, Abilene, TX, United States.
Paige MenkingUniversity of New Mexico School of Medicine, Albuquerque, NM, United States.
Floribella RedondoArizona Community Health Workers Association, Yuma, AZ, United States.
Stephanie SieswerdaMichael & Susan Dell Center for Healthy Living at The University of Texas Health Science Center at Houston (UTHealth) School of Public Health in Austin, Austin, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has required the professional healthcare workforce not only to adjust methods of delivering care safely but also act as a trusted sources of information during a time of uncertainty and rapid research and discovery. The Community Health Worker COVID-19 Impact Survey is a cross-sectional study developed to better understand the impact of COVID-19 on this sector of the healthcare workforce, including training needs of those working through the pandemic. The survey was distributed in Texas, New Mexico, and Arizona. This study focuses on Texas, and the data presented (

Indexed as

COVID-19PandemicsArizonaCommunity Health WorkersCross-Sectional StudiesHumansNew MexicoSARS-CoV-2Texascommunity health workerCOVID-19 pandemic responseeducationInfectious disease preparednessworkforce training needs

Identifiers

PMID34195172
PMCPMC8236534

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.