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TRACTOR Project: TRACking and MoniToring Occupational Risks in Agriculture Using French Insurance Health Data (MSA).

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Title: TRACTOR Project: TRACking and MoniToring Occupational Risks in Agriculture Using French Insurance Health Data (MSA).
Authors: Petit, Pascal1 pascal.petit@univ-grenoble-alpes.fr, Bosson-Rieutort, Delphine2,3, Maugard, Charlotte1, Gondard, Elise1, Ozenfant, Damien4, Joubert, Nadia4, François, Olivier1, Bonneterre, Vincent1
Source: Annals of Work Exposures & Health. Apr2022, Vol. 66 Issue 3, p402-411. 10p.
Subjects: Occupational disease risk factors, Public health surveillance, Databases, Nosology, Agriculture, Occupational exposure, Database management, Health insurance, Research funding, Integrated health care delivery, Medical coding
Geographic Terms: France
Abstract: Objectives A vast data mining project called 'TRACking and moniToring Occupational Risks in agriculture' (TRACTOR) was initiated in 2017 to investigate work-related health events among the entire French agricultural workforce. The goal of this work is to present the TRACTOR project, the challenges faced during its implementation, to discuss its strengths and limitations and to address its potential impact for health surveillance. Methods Three routinely collected administrative health databases from the National Health Insurance Fund for Agricultural Workers and Farmers (MSA) were made available for the TRACTOR project. Data management was required to properly clean and prepare the data before linking together all available databases. Results After removing few missing and aberrant data (4.6% values), all available databases were fully linked together. The TRACTOR project is an exhaustive database of agricultural workforce (active and retired) from 2002 to 2016, with around 10.5 million individuals including seasonal workers and farm managers. From 2012 to 2016, a total of 6 906 290 individuals were recorded. Half of these individuals were active and 46% had at least one health event (e.g. declared chronic disease, reimbursed drug prescription) during this 5-year period. Conclusions The assembled MSA databases available in the TRACTOR project are regularly updated and represent a promising and unprecedent dataset for data mining analysis dedicated to the early identification of current and emerging work-related illnesses and hypothesis generation. As a result, this project could help building a prospective integrated health surveillance system for the benefit of agricultural workers. [ABSTRACT FROM AUTHOR]
Copyright of Annals of Work Exposures & Health is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: TRACTOR Project: TRACking and MoniToring Occupational Risks in Agriculture Using French Insurance Health Data (MSA).
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  Data: <searchLink fieldCode="AR" term="%22Petit%2C+Pascal%22">Petit, Pascal</searchLink><relatesTo>1</relatesTo><i> pascal.petit@univ-grenoble-alpes.fr</i><br /><searchLink fieldCode="AR" term="%22Bosson-Rieutort%2C+Delphine%22">Bosson-Rieutort, Delphine</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Maugard%2C+Charlotte%22">Maugard, Charlotte</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Gondard%2C+Elise%22">Gondard, Elise</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ozenfant%2C+Damien%22">Ozenfant, Damien</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Joubert%2C+Nadia%22">Joubert, Nadia</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22François%2C+Olivier%22">François, Olivier</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Bonneterre%2C+Vincent%22">Bonneterre, Vincent</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Annals+of+Work+Exposures+%26+Health%22">Annals of Work Exposures & Health</searchLink>. Apr2022, Vol. 66 Issue 3, p402-411. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Occupational+disease+risk+factors%22">Occupational disease risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Public+health+surveillance%22">Public health surveillance</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br /><searchLink fieldCode="DE" term="%22Nosology%22">Nosology</searchLink><br /><searchLink fieldCode="DE" term="%22Agriculture%22">Agriculture</searchLink><br /><searchLink fieldCode="DE" term="%22Occupational+exposure%22">Occupational exposure</searchLink><br /><searchLink fieldCode="DE" term="%22Database+management%22">Database management</searchLink><br /><searchLink fieldCode="DE" term="%22Health+insurance%22">Health insurance</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Integrated+health+care+delivery%22">Integrated health care delivery</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+coding%22">Medical coding</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22France%22">France</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Objectives A vast data mining project called 'TRACking and moniToring Occupational Risks in agriculture' (TRACTOR) was initiated in 2017 to investigate work-related health events among the entire French agricultural workforce. The goal of this work is to present the TRACTOR project, the challenges faced during its implementation, to discuss its strengths and limitations and to address its potential impact for health surveillance. Methods Three routinely collected administrative health databases from the National Health Insurance Fund for Agricultural Workers and Farmers (MSA) were made available for the TRACTOR project. Data management was required to properly clean and prepare the data before linking together all available databases. Results After removing few missing and aberrant data (4.6% values), all available databases were fully linked together. The TRACTOR project is an exhaustive database of agricultural workforce (active and retired) from 2002 to 2016, with around 10.5 million individuals including seasonal workers and farm managers. From 2012 to 2016, a total of 6 906 290 individuals were recorded. Half of these individuals were active and 46% had at least one health event (e.g. declared chronic disease, reimbursed drug prescription) during this 5-year period. Conclusions The assembled MSA databases available in the TRACTOR project are regularly updated and represent a promising and unprecedent dataset for data mining analysis dedicated to the early identification of current and emerging work-related illnesses and hypothesis generation. As a result, this project could help building a prospective integrated health surveillance system for the benefit of agricultural workers. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Annals of Work Exposures & Health is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1093/annweh/wxab083
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 402
    Subjects:
      – SubjectFull: Occupational disease risk factors
        Type: general
      – SubjectFull: Public health surveillance
        Type: general
      – SubjectFull: Databases
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      – SubjectFull: Nosology
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      – SubjectFull: Agriculture
        Type: general
      – SubjectFull: Occupational exposure
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      – SubjectFull: Database management
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      – SubjectFull: Health insurance
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      – SubjectFull: Research funding
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      – SubjectFull: Integrated health care delivery
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      – SubjectFull: Medical coding
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      – SubjectFull: France
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              Text: Apr2022
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