Evidence map›Paper›PMID 35836992›Full record

ArticleFrontiers in public health2022

Real World Feedback: How Well Did the Virtual Training Academy Prepare California's COVID-19 Contact Tracing Workforce?

Miranda Westfall, Maeve Forster, Olivia Golston, Kelly D Taylor, Karen White, Michael J A Reid, Alina Dorian, Michael L Prelip, Shira Shafir

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Miranda WestfallFielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States.
Maeve ForsterInstitute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, United States.
Olivia GolstonFielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States.
Kelly D TaylorInstitute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, United States.
Karen WhiteInstitute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, United States.
Michael J A ReidInstitute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, United States.
Alina DorianFielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States.
Michael L PrelipFielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States.
Shira ShafirFielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States.

Funding

Ujima Mentoring ProgramP30MH062246 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MALLORY O JOHNSON · 2001 to 2026
$57.4M
NIMH NIH HHS P30 MH062246
6 · The paper itself

Abstract

To effectively respond to the COVID-19 pandemic, California had to quickly mobilize a substantial number of case investigators (CIs) and contact tracers (CTs). This workforce was comprised primarily of redirected civil servants with diverse educational and professional backgrounds. The purpose of this evaluation was to understand whether the weeklong, remote course developed to train California's CI/CT workforce (i.e., Virtual Training Academy) adequately prepared trainees for deployment. From May 2020 to February 2021, 8,141 individuals completed the training. A survey administered ~3 weeks post-course assessed two measures of overall preparedness: self-perceived interviewing proficiency and self-perceived job preparedness. Bivariate analyses were used to examine differences in preparedness scores by education level, career background, and whether trainees volunteered to join the COVID-19 workforce or were assigned by their employers. There were no significant differences in preparedness by education level. Compared to trainees from non-public health backgrounds, those from public health fields had higher self-perceived interviewing proficiency (25.1 vs. 23.3,

Indexed as

COVID-19CaliforniaContact TracingFeedbackHumansPandemicsWorkforcecase investigationcontact tracingCOVID-19public health preparednesspublic health workforce

Identifiers

PMID35836992
PMCPMC9273764

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.