Evidence map›Paper›PMID 35371369›Full record

ArticleJournal of nursing education and practice2021

Electronic Cigarettes: Exposure to Secondhand Vapors at a Long-Term Healthcare Company.

Nicole Harris, Gordon L Gillespie, Kermit G Davis

Open access · diamondAbstract read
In one paragraph

Article in Journal of nursing education and practice, 2021. 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, top 81% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

3 authors at 3 institutions in 1 country.

Nicole HarrisCollege of Nursing, University of Cincinnati, Cincinnati, Ohio, United States.
Gordon L GillespieCollege of Nursing, University of Cincinnati, Cincinnati, Ohio, United States.
Kermit G DavisDepartment of Environmental and Public Health Science, College of Medicine, University of Cincinnati, Cincinnati, Ohio, United States.
Cincinnati Health Department · USUniversity of Cincinnati · USUniversity of Cincinnati Medical Center · US

Funding

ACL HHS T42OH008432NIOSH CDC HHS T42 OH008432
6 · The paper itself

Abstract

Introduction: Healthcare workers in long term care settings have limited control over their occupational secondhand exposure to electronic cigarettes and other tobacco products. Methods: The study aimed to identify the perceived frequency of exposure to exhaled electronic cigarette vapor on healthcare workers within two sites of a long-term healthcare company. An online survey was completed by 149 (out of approximately 500) employees that asked about electronic cigarette personal usage, concerns for exposure, exposure times, and demographic data. Results: Twelve percent of all survey respondents expressed concerns related to second-hand exposure. Of those exposed, employee estimated exposure time was 2.1 minutes per shift for electronic cigarettes compared to 12.1 minutes per shift for cigarettes/cigars/pipes. Conclusions: Overall self-reported secondhand exposure to electronic cigarettes and cigarettes/cigars/pipes was low. To determine a definitive exposure level, quantitative sampling can be done related to chemical exposure via passive inhalation of the smoke and vapor cloud for cigarettes and electronic cigarettes, respectively. Education can be provided to healthcare workers and residents in long-term care facilities regarding risk of exposure to secondhand smoke to alleviate employees concerns with exposure.

Indexed as

healthcare workeroccupationalsecondhandvape

Identifiers

PMID35371369
PMCPMC8970531
OpenAlexW3106251701

What OpenQuestion holds

Textmetadata
LicenceTDM
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.