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

administrative health database agriculture data epidemiology health surveillance

Journal

Annals of work exposures and health
ISSN: 2398-7316
Titre abrégé: Ann Work Expo Health
Pays: England
ID NLM: 101698454

Informations de publication

Date de publication:
15 03 2022
Historique:
received: 05 07 2021
revised: 09 09 2021
accepted: 13 09 2021
pubmed: 26 9 2021
medline: 6 5 2022
entrez: 25 9 2021
Statut: ppublish

Résumé

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. 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. 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. 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.

Identifiants

pubmed: 34562080
pii: 6375458
doi: 10.1093/annweh/wxab083
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

402-411

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of the British Occupational Hygiene Society.

Auteurs

Pascal Petit (P)

Univ. Grenoble Alpes, CNRS, Grenoble INP, CHU Grenoble Alpes, TIMC, Grenoble, France.

Delphine Bosson-Rieutort (D)

School of Public Health, Department of Management, Evaluation and Health Policy, University of Montreal, Montreal, Canada.
Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montréal, Canada.

Charlotte Maugard (C)

Univ. Grenoble Alpes, CNRS, Grenoble INP, CHU Grenoble Alpes, TIMC, Grenoble, France.

Elise Gondard (E)

Univ. Grenoble Alpes, CNRS, Grenoble INP, CHU Grenoble Alpes, TIMC, Grenoble, France.

Damien Ozenfant (D)

Caisse centrale de la MSA (CCMSA), Bobigny, France.

Nadia Joubert (N)

Caisse centrale de la MSA (CCMSA), Bobigny, France.

Olivier François (O)

Univ. Grenoble Alpes, CNRS, Grenoble INP, CHU Grenoble Alpes, TIMC, Grenoble, France.

Vincent Bonneterre (V)

Univ. Grenoble Alpes, CNRS, Grenoble INP, CHU Grenoble Alpes, TIMC, Grenoble, France.

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