Evidence-based Dust Exposure Prediction And/or Control Tools in Occupational Settings: A Scoping Review Protocol

Overview

Journal PLoS One

Specialties General Medicine
Science

Date 2024 Oct 17

PMID 39418247

Authors

Gebisa Guyasa Kabito

Yonatal Tefera

Chandnee Ramkissoon

Sharyn Gaskin

Affiliations

Soon will be listed here.

Abstract

Background: Workplace atmospheric exposure monitoring is the standard method to assess and control hazardous dust exposure; however, feasibility and cost constraints often limit its application. In recent decades, evidence-based tools supporting exposure modelling and control banding have been developed to aid in predicting and/or controlling occupational exposure to various contaminants. However, there is limited information on the availability and applicability of evidence-based tools for predicting and/or controlling occupational dust exposure, as well as on the methods for evaluating these tools across different exposure scenarios. Therefore, this planned scoping review aims to identify existing evidence-based tools for dust exposure predicting and/or controlling and to present evaluation approaches.

Methods: We will employ the scoping review methods developed by the Joanna Briggs Institute (JBI). The search will be conducted on PubMed, Scopus, and Web of Science databases, in addition to grey literature from the National Institute for Occupational Safety and Health (NIOSH) and advanced Google searches. Studies will be included if they report evidence-based tools for predicting and/or controlling dust exposure using quantitative or semi-quantitative designs and provide a detailed explanation of the methods used for tool development. There will be no restrictions on publication date or geographical location; however, only studies published in English will be considered. Studies focusing exclusively on dust exposure in environmental settings will be excluded. Each member of the review team will screen titles, abstracts, and full texts independently and in collaboration, based on the inclusion criteria. The extracted data will encompass details such as author, title, country, accessible platforms, method/tool names, intended users, types of dust, and occupational settings. Descriptions of the identified tools will include numerical data and narrative summaries to ensure a comprehensive overview.

Trial Registration: OSF (https://doi.org/10.17605/OSF.IO/S6EZJ).

References

Tischer M, Lamb J, Hesse S, Van Tongeren M . Evaluation of Tier One Exposure Assessment Models (ETEAM): Project Overview and Methods. Ann Work Expo Health. 2017; 61(8):911-920. DOI: 10.1093/annweh/wxx066. View

Cherrie J, Fransman W, Heussen G, Koppisch D, Jensen K . Exposure Models for REACH and Occupational Safety and Health Regulations. Int J Environ Res Public Health. 2020; 17(2). PMC: 7013818. DOI: 10.3390/ijerph17020383. View

Zheng X, Zheng Y, Liao T, Xu Y, Liu L, Wang Y . Effects of occupational exposure to dust, gas, vapor and fumes on chronic bronchitis and lung function. J Thorac Dis. 2024; 16(1):356-367. PMC: 10894404. DOI: 10.21037/jtd-23-646. View

Ashley K . 5 Edition and Harmonization of Occupational Exposure Monitoring. Gefahrst Reinhalt Luft. 2015; 2015(1-2):7-16. PMC: 4545481. View

Leung C, Yu I, Chen W . Silicosis. Lancet. 2012; 379(9830):2008-18. DOI: 10.1016/S0140-6736(12)60235-9. View

Paustenbach D . The practice of exposure assessment: a state-of-the-art review. J Toxicol Environ Health B Crit Rev. 2000; 3(3):179-291. DOI: 10.1080/10937400050045264. View

Cullinan P, Munoz X, Suojalehto H, Agius R, Jindal S, Sigsgaard T . Occupational lung diseases: from old and novel exposures to effective preventive strategies. Lancet Respir Med. 2017; 5(5):445-455. DOI: 10.1016/S2213-2600(16)30424-6. View

Zalk D, Nelson D . History and evolution of control banding: a review. J Occup Environ Hyg. 2008; 5(5):330-46. DOI: 10.1080/15459620801997916. View

Tricco A, Lillie E, Zarin W, OBrien K, Colquhoun H, Levac D . PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Ann Intern Med. 2018; 169(7):467-473. DOI: 10.7326/M18-0850. View

10.

Harper M . Assessing workplace chemical exposures: the role of exposure monitoring. J Environ Monit. 2004; 6(5):404-12. DOI: 10.1039/b314697a. View

11.

Kuempel E, Attfield M, Vallyathan V, Lapp N, Hale J, Smith R . Pulmonary inflammation and crystalline silica in respirable coal mine dust: dose-response. J Biosci. 2003; 28(1):61-9. DOI: 10.1007/BF02970133. View

12.

Fransman W, Van Tongeren M, Cherrie J, Tischer M, Schneider T, Schinkel J . Advanced Reach Tool (ART): development of the mechanistic model. Ann Occup Hyg. 2011; 55(9):957-79. DOI: 10.1093/annhyg/mer083. View

13.

Fanti G, Borghi F, Spinazze A, Rovelli S, Campagnolo D, Keller M . Features and Practicability of the Next-Generation Sensors and Monitors for Exposure Assessment to Airborne Pollutants: A Systematic Review. Sensors (Basel). 2021; 21(13). PMC: 8271362. DOI: 10.3390/s21134513. View

14.

Marquart H, Heussen H, Le Feber M, Noy D, Tielemans E, Schinkel J . 'Stoffenmanager', a web-based control banding tool using an exposure process model. Ann Occup Hyg. 2008; 52(6):429-41. DOI: 10.1093/annhyg/men032. View

15.

. Global and regional burden of chronic respiratory disease in 2016 arising from non-infectious airborne occupational exposures: a systematic analysis for the Global Burden of Disease Study 2016. Occup Environ Med. 2020; 77(3):142-150. PMC: 7035690. DOI: 10.1136/oemed-2019-106013. View

16.

Zalk D, Heussen G . Banding the world together; the global growth of control banding and qualitative occupational risk management. Saf Health Work. 2012; 2(4):375-9. PMC: 3430910. DOI: 10.5491/SHAW.2011.2.4.375. View

17.

Vincent J . Occupational and environmental aerosol exposure assessment: a scientific journey from the past, through the present and into the future. J Environ Monit. 2011; 14(2):340-7. DOI: 10.1039/c1em10586h. View

18.

Fenske R . For good measure: Origins and prospects of exposure science (2007 Wesolowski Award Lecture). J Expo Sci Environ Epidemiol. 2010; 20(6):493-502. DOI: 10.1038/jes.2010.26. View

19.

. Global burden of chronic respiratory diseases and risk factors, 1990-2019: an update from the Global Burden of Disease Study 2019. EClinicalMedicine. 2023; 59:101936. PMC: 7614570. DOI: 10.1016/j.eclinm.2023.101936. View

20.

Spinazze A, Borghi F, Campagnolo D, Rovelli S, Keller M, Fanti G . How to Obtain a Reliable Estimate of Occupational Exposure? Review and Discussion of Models' Reliability. Int J Environ Res Public Health. 2019; 16(15). PMC: 6695664. DOI: 10.3390/ijerph16152764. View