Evidence map›Paper›PMID 38145997›Full record

ArticleJournal of exposure science & environmental epidemiology2024

Occupational inhalation exposure during surface disinfection-exposure assessment based on exposure models compared with measurement data.

Lea Anhäuser, Benedikt Piorr, Mario Arnone, Wolfgang Wegscheider, Johannes Gerding

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2024. 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
0.6field-weighted citation impact, top 28% 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, 2 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

5 authors at 4 institutions in 2 countries.

Lea AnhäuserGerman Social Accident Insurance Institution for the Health and Welfare Services (BGW), Department for Occupational Medicine, Hazardous Substances and Public Health, Pappelallee 33/35/37, 22089, Hamburg, Germany. Lea.Anhaeuser@bgw-online.de.ORCID 0009-0004-7887-5111
Benedikt PiorrFederal Institute for Occupational Safety and Health (BAuA), Unit Exposure Assessment Biocides, Friedrich-Henkel-Weg 1-25, 44149, Dortmund, Germany.
Mario ArnoneInstitute for Occupational Safety and Health (IFA) of the German Social Accident Insurance (DGUV), Section Exposure Monitoring-MGU, Alte Heerstrasse 111, 53757, Sankt Augustin, Germany.
Wolfgang WegscheiderGerman Social Accident Insurance Institution for the Health and Welfare Services (BGW), Department for Occupational Medicine, Hazardous Substances and Public Health, Pappelallee 33/35/37, 22089, Hamburg, Germany.
Johannes GerdingGerman Social Accident Insurance Institution for the Health and Welfare Services (BGW), Department for Occupational Medicine, Hazardous Substances and Public Health, Pappelallee 33/35/37, 22089, Hamburg, Germany.
German Insurance Association · DEHenkel (Germany) · DEInstitut für Arbeitsschutz der Deutschen Gesetzlichen Unfallversicherung · DESocial Welfare Department · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor healthcare workers, surface disinfections are daily routine tasks. An assessment of the inhalation exposure to hazardous substances, in this case the disinfectant´s active ingredients, is necessary to ensure workers safety. However, deciding which exposure model is best for exposure assessment remains difficult.

objectiveThe aim of the study was to evaluate the applicability of different exposure models for disinfection of small surfaces in healthcare settings.

methodsMeasurements of the air concentration of active ingredients in disinfectants (ethanol, formaldehyde, glutaraldehyde, hydrogen peroxide, peroxyacetic acid) together with other exposure parameters were recorded in a test chamber. The measurements were performed using personal and stationary air sampling. In addition, exposure modelling was performed using three deterministic models (unsteady 1-zone, ConsExpo and 2-component) and one modifying-factor model (Stoffenmanager®). Their estimates were compared with the measured values using various methods to assess model quality (like accuracy and level of conservatism).

resultsThe deterministic models showed overestimation predominantly in the range of two- to fivefold relative to the measured data and high conservatism for all active ingredients of disinfectants with the exception of ethanol. With Stoffenmanager® an exposure distribution was estimated for ethanol, which was in good accordance with the measured data. IMPACT STATEMENT: To date, workplace exposure assessments often involve expensive and time consuming air measurements. Reliable exposure models can be used to assess occupational inhalation exposure to hazardous substances, in this case surface disinfectants. This study describes the applicability of three deterministic and one modifying-factor model for disinfection of small surfaces in healthcare settings, in direct comparison to measurements performed and will facilitate future exposure assessments at these workplaces.

Indexed as

DisinfectantsDisinfectionInhalation ExposureOccupational ExposureAir Pollutants, OccupationalEnvironmental MonitoringHumansModels, TheoreticalAir Pollutants, OccupationalDisinfectantsExposure assessmentExposure modellingInhalation exposureMeasurement dataModel qualitySurface disinfection

Identifiers

PMID38145997
PMCPMC11142908
OpenAlexW4390196832

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.