Evidence map›Paper›PMID 36673956›Full record

ArticleInternational journal of environmental research and public health2023

Work: A Social Determinant of Health Worth Capturing.

Karla Armenti, Marie H Sweeney, Cailyn Lingwall, Liu Yang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  13. Article
  14. Lack of Follow-Up in a Food-Insecure Population.American journal of lifestyle medicine · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Sex Differences in COVID-19 Deaths, by Industry and Occupation, 2021.American journal of preventive medicine · 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

4 authors.

Karla ArmentiNH Occupational Health Surveillance Program, Institute on Disability, University of New Hampshire, Durham, NH 03824, USA.ORCID 0000-0003-0992-179X
Marie H SweeneyNational Institute for Occupational Safety and Health, Cincinnati, OH 45226, USA.
Cailyn LingwallCouncil of State and Territorial Epidemiologists, Atlanta, GA 30345, USA.
Liu YangNH Occupational Health Surveillance Program, Institute on Disability, University of New Hampshire, Durham, NH 03824, USA.

Funding

Expansion of the New Hampshire Occupational Health Surveillance Program VTFU60OH010910 · OH · UNIVERSITY OF NEW HAMPSHIRE · PI YANG, LIU · 2015 to 2025
$3.0M
NIOSH CDC HHS U60 OH010910
6 · The paper itself

Abstract

Work is a recognized social determinant of health. This became most apparent during the COVID-19 pandemic. Workers, particularly those in certain industries and occupations, were at risk due to interaction with the public and close proximity to co-workers. The purpose of this study was to assess how states collected work and employment data on COVID-19 cases, characterizing the need for systematic collection of case-based specific work and employment data, including industry and occupation, of COVID-19 cases. A survey was distributed among state occupational health contacts and epidemiologists in all 50 states to assess current practices in state public health surveillance systems. Twenty-seven states collected some kind of work and employment information from COVID-19 cases. Most states (93%) collected industry and/or occupation information. More than half used text-only fields, a predefined reference or dropdown list, or both. Use of work and employment data included identifying high risk populations, prioritizing vaccination efforts, and assisting with reopening plans. Reported barriers to collecting industry and occupation data were lack of staffing, technology issues, and funding. Scientific understanding of work-related COVID-19 risk requires the systematic, case-based collection of specific work and employment data, including industry and occupation. While this alone does not necessarily indicate a clear workplace exposure, collection of these data elements can help to determine and further prevent workplace outbreaks, thereby ensuring the viability of the nation's critical infrastructure.

Indexed as

COVID-19HumansIndustryOccupationsPandemicsSocial Determinants of Healthemployment and workindustryinfectious disease surveillanceoccupationoccupational health surveillance

Identifiers

PMID36673956
PMCPMC9859245

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.