Evidence map›Paper›PMID 37867581›Full record

ArticlePublic health in practice (Oxford, England)2023

Threats to public health workers.

Jennifer A Horney, Akash Harjivan, Kahler W Stone, Meredith A Jagger, Kristina W Kintziger

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Jennifer A HorneyUniversity of Delaware, 100 Discovery Blvd, Room 731, Newark, DE, 19713, USA.
Akash HarjivanDepartment of Neuroscience, University of Chicago, Chicago, IL, 60637, USA.
Kahler W StoneDepartment of Health and Human Performance, Middle Tennessee State University, Murfreesboro, TN, 37132, USA.
Meredith A JaggerAustin, TX, 78746, USA.
Kristina W KintzigerDepartment of Environmental, Agricultural & Occupational Health, University of Nebraska Medical Center, Omaha, NE, 68198, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Media reports and data from public health professional membership organizations have demonstrated high levels of harassment experienced by public health workers throughout the COVID-19 response. We documented personal and political threats to public health workers across the first 12 months of pandemic response through a longitudinal survey completed in Fall 2020 and Summer 2021. The web-based survey was distributed to respondents using the Qualtrics survey platform. Survey items measured domains including demographic information, public health roles and training, mental and physical health, and work-life balance. Respondents were also asked if they had received any personal or political threats, from whom these threats were received, and completed an open-ended question describing the nature of the threats. Among the 85 public health workers completing both surveys, threats from members of the public and from elected and appointed leaders were most prevalent at both timepoints; however, as the pandemic response progressed, the nature of threats to public health workers changed. While those remaining in the public health workforce may be more resilient to these threats, increased prevalence of personal and political threats has the potential to deter new graduates from entering the field, impacting the public health system's future response capacity.

Indexed as

HarassmentPersonalPoliticalPublic healthThreatsWorkforce

Identifiers

PMID37867581
PMCPMC10587718

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.