title: Estimating the social cost of respiratory cancer cases attributable to occupational exposures in France.
abstract: OBJECTIVE
  The objective of this article was to estimate the social cost of respiratory cancer cases attributable to occupational risk factors in France in 2010.
  
  
  METHODS
  According to the attributable fraction method and based on available epidemiological data from the literature, we estimated the number of respiratory cancer cases due to each identified risk factor. We used the cost-of-illness method with a prevalence-based approach. We took into account the direct and indirect costs. We estimated the cost of production losses due to morbidity (absenteeism and presenteeism) and mortality costs (years of production losses) in the market and nonmarket spheres.
  
  
  RESULTS
  The social cost of lung, larynx, sinonasal and mesothelioma cancer caused by exposure to asbestos, chromium, diesel engine exhaust, paint, crystalline silica, wood and leather dust in France in 2010 were estimated at between 917 and 2,181 million euros. Between 795 and 2,011 million euros (87-92%) of total costs were due to lung cancer alone. Asbestos was by far the risk factor representing the greatest cost to French society in 2010 at between 531 and 1,538 million euros (58-71%), ahead of diesel engine exhaust, representing an estimated social cost of between 233 and 336 million euros, and crystalline silica (119-229 million euros). Indirect costs represented about 66% of total costs.
  
  
  CONCLUSIONS
  Our assessment shows the magnitude of the economic impact of occupational respiratory cancers. It allows comparisons between countries and provides valuable information for policy-makers responsible for defining public health priorities.
authors: Laboratoire d'Économie et Gestion, Pôle Économie Gestion, Université de Bourgogne, 2 boulevard Gabriel, BP 26611, 21066, Dijon Cedex, France, hassan.serrier@u-bourgogne.fr.
authors: Hassan
authors: H
authors: Serrier
authors: Hélène
authors: H
authors: Sultan-Taieb
authors: Danièle
authors: D
authors: Luce
authors: Sophie
authors: S
authors: Bejean
mesh_terms: D000041:Absenteeism; D017281:Cost of Illness; D003365:Costs and Cost Analysis / Q000191:economics / Q000706:statistics & numerical data; D005260:Female; D005602:France / Q000453:epidemiology; D017048:Health Care Costs / Q000706:statistics & numerical data; D006801:Humans; D007822:Laryngeal Neoplasms / Q000191:economics / Q000453:epidemiology / Q000209:etiology / Q000401:mortality; D008175:Lung Neoplasms / Q000191:economics / Q000453:epidemiology / Q000209:etiology / Q000401:mortality; D008297:Male; D008654:Mesothelioma / Q000191:economics / Q000453:epidemiology / Q000209:etiology / Q000401:mortality; D008875:Middle Aged; D016273:Occupational Exposure / Q000009:adverse effects / Q000191:economics*; D010255:Paranasal Sinus Neoplasms / Q000191:economics / Q000453:epidemiology / Q000209:etiology / Q000401:mortality; D010997:Pleural Neoplasms / Q000191:economics / Q000453:epidemiology / Q000209:etiology / Q000401:mortality; D012142:Respiratory Tract Neoplasms / Q000191:economics* / Q000453:epidemiology / Q000209:etiology / Q000401:mortality
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