2018
DOI: 10.1136/oemed-2017-104793
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Development of a bar code-based exposure assessment method to evaluate occupational exposure to disinfectants and cleaning products: a pilot study

Abstract: This innovative and easy-to-use method could help to improve the assessment of occupational exposure to disinfectants/cleaning products in epidemiological studies.

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Cited by 16 publications
(14 citation statements)
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“…46 To improve knowledge regarding agents causing respiratory hazards, the use of novel exposure assessment methods, such as a Smartphone application to scan the barcodes of DCP and the development of databases listing all ingredients of DCP may be useful in future studies. 47 Major strengths of our study include the large population size, the high response rate and the use of standardized and validated definitions to evaluate asthma and asthma control.…”
Section: Discussionmentioning
confidence: 99%
“…46 To improve knowledge regarding agents causing respiratory hazards, the use of novel exposure assessment methods, such as a Smartphone application to scan the barcodes of DCP and the development of databases listing all ingredients of DCP may be useful in future studies. 47 Major strengths of our study include the large population size, the high response rate and the use of standardized and validated definitions to evaluate asthma and asthma control.…”
Section: Discussionmentioning
confidence: 99%
“…More recently, Quinot et al [77] investigated the feasibility of using smartphones and product bar codes to advance occupational exposure assessments for cleaning and disinfecting products among hospital/cleaning workers. The smart phone application has a bar code reader and seven fields for manual data entry: product name, frequency of use (per week and per day), what product is used for, physical form of product (e.g., spray), use of protective equipment and if the product is used in a confined place.…”
Section: Discussionmentioning
confidence: 99%
“…Studies have generally used questionnaires, which is prone to both differential and non-differential misclassification errors, as participants are unlikely to know the detailed composition of the products they use. To overcome this issue, a new method using a smartphone application to scan the cleaning products' bar code, with a related database linking the bar codes to the products' compositions, has been proposed [28]. This method could be particularly useful in large populations, in which quantitative exposure measurements are hardly feasible.…”
Section: Challenges and Opportunities In Assessing Causative Agents Amentioning
confidence: 99%