IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-00922838.html
   My bibliography  Save this paper

Estimating the social cost of respiratory cancer cases attributable to occupational exposures in France

Author

Listed:
  • Hassan Serrier

    (EES - LEG - Laboratoire d'Economie et de Gestion - UB - Université de Bourgogne - CNRS - Centre National de la Recherche Scientifique)

  • Hélène Sultan-Taieb

    (LEG - Laboratoire d'Economie et de Gestion - UB - Université de Bourgogne - CNRS - Centre National de la Recherche Scientifique)

  • Danièle Luce

    (Irset - Institut de recherche en santé, environnement et travail - UA - Université d'Angers - UR - Université de Rennes - EHESP - École des Hautes Études en Santé Publique [EHESP] - INSERM - Institut National de la Santé et de la Recherche Médicale - Biosit : Biologie - Santé - Innovation Technologique - Structure Fédérative de Recherche en Biologie et Santé de Rennes)

  • Sophie Béjean

    (Equipe d'Economie de la Santé - LEG - Laboratoire d'Economie et de Gestion - UB - Université de Bourgogne - CNRS - Centre National de la Recherche Scientifique)

Abstract

Purpose 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 lit- erature, 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. Conclusion Our assessment shows the magnitude of the economic impact of occupational respiratory cancers. It allows comparisons between countries and provides valu- able information for policy-makers responsible for defining public health priorities.

Suggested Citation

  • Hassan Serrier & Hélène Sultan-Taieb & Danièle Luce & Sophie Béjean, 2013. "Estimating the social cost of respiratory cancer cases attributable to occupational exposures in France," Post-Print halshs-00922838, HAL.
    • Handle: RePEc:hal:journl:halshs-00922838
    DOI: 10.1007/s10198-013-0528-6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Drummond, Michael F. & Sculpher, Mark J. & Torrance, George W. & O'Brien, Bernie J. & Stoddart, Greg L., 2005. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 3, number 9780198529453.
    2. Tarricone, Rosanna, 2006. "Cost-of-illness analysis: What room in health economics?," Health Policy, Elsevier, vol. 77(1), pages 51-63, June.
    3. Thomas Barnay & Karine Briard, 2009. "Carrière incomplète et départ en retraite. Une estimation de l'incidence de l'état de santé à partir de données individuelles," Revue économique, Presses de Sciences-Po, vol. 60(2), pages 345-363.
    4. Juan Oliva & Félix Lobo & Julio López-Bastida & Néboa Zozaya & Rosa Romay, 2005. "Indirect costs of cervical and breast cancers in Spain," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 6(4), pages 309-313, December.
    5. Sophie Béjean & Hélène Sultan-Taïeb, 2005. "Modeling the economic burden of diseases imputable to stress at work," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 6(1), pages 16-23, March.
    6. Dionne, Georges & Lebeau, Martin, 2010. "Le calcul de la valeur statistique d’une vie humaine," L'Actualité Economique, Société Canadienne de Science Economique, vol. 86(4), pages 487-530, décembre.
    7. Koopmanschap, Marc A. & Rutten, Frans F. H. & van Ineveld, B. Martin & van Roijen, Leona, 1995. "The friction cost method for measuring indirect costs of disease," Journal of Health Economics, Elsevier, vol. 14(2), pages 171-189, June.
    8. Koopmanschap, Marc A. & van Ineveld, B. Martin, 1992. "Towards a new approach for estimating indirect costs of disease," Social Science & Medicine, Elsevier, vol. 34(9), pages 1005-1010, May.
    9. Thierry Debrand & Pascale Lengagne, 2008. "Working Conditions and Health of European Older Workers," Working Papers DT8, IRDES institut for research and information in health economics, revised Feb 2008.
    10. repec:dau:papers:123456789/6328 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. W. Dominika Wranik & Adam Muir & Min Hu, 2017. "Costs of productivity loss due to occupational cancer in Canada: estimation using claims data from Workers’ Compensation Boards," Health Economics Review, Springer, vol. 7(1), pages 1-11, December.
    2. Jamison Pike & Scott D. Grosse, 2018. "Friction Cost Estimates of Productivity Costs in Cost-of-Illness Studies in Comparison with Human Capital Estimates: A Review," Applied Health Economics and Health Policy, Springer, vol. 16(6), pages 765-778, December.
    3. Erika Wissinger & Ingolf Griebsch & Juliane Lungershausen & Talia Foster & Chris Pashos, 2014. "The Economic Burden of Head and Neck Cancer: A Systematic Literature Review," PharmacoEconomics, Springer, vol. 32(9), pages 865-882, September.
    4. Mennini, Francesco Saverio & Gitto, Lara, 2022. "Approaches to Estimating Indirect Costs in Healthcare: Motivations for Choice," MPRA Paper 112129, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Krol, Marieke & Brouwer, Werner B.F. & Severens, Johan L. & Kaper, Janneke & Evers, Silvia M.A.A., 2012. "Productivity cost calculations in health economic evaluations: Correcting for compensation mechanisms and multiplier effects," Social Science & Medicine, Elsevier, vol. 75(11), pages 1981-1988.
    2. Jesse Kigozi & Sue Jowett & Martyn Lewis & Pelham Barton & Joanna Coast, 2016. "Estimating productivity costs using the friction cost approach in practice: a systematic review," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(1), pages 31-44, January.
    3. Hanna Gyllensten & Michael Wiberg & Kristina Alexanderson & Anders Norlund & Emilie Friberg & Jan Hillert & Olivia Ernstsson & Petter Tinghög, 2018. "Costs of illness of multiple sclerosis in Sweden: a population-based register study of people of working age," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(3), pages 435-446, April.
    4. Jamison Pike & Scott D. Grosse, 2018. "Friction Cost Estimates of Productivity Costs in Cost-of-Illness Studies in Comparison with Human Capital Estimates: A Review," Applied Health Economics and Health Policy, Springer, vol. 16(6), pages 765-778, December.
    5. Hanly, Paul & Ortega Ortega, Marta & Pearce, Alison & Soerjomataram, Isabelle & Sharp, Linda, 2020. "Advances in the methodological approach to friction period estimation: A European perspective," Social Science & Medicine, Elsevier, vol. 264(C).
    6. Bugge, Christoffer & Sæther, Erik Magnus & Brustugun, Odd Terje & Kristiansen, Ivar Sønbø, 2021. "Societal cost of cancer in Norway –Results of taking a broader cost perspective," Health Policy, Elsevier, vol. 125(8), pages 1100-1107.
    7. Brouwer, W. B. F. & van Exel, N. J. A. & Koopmanschap, M. A. & Rutten, F. F. H., 2002. "Productivity costs before and after absence from work: as important as common?," Health Policy, Elsevier, vol. 61(2), pages 173-187, August.
    8. Werner Brouwer & Samare Huls & Ayesha Sajjad & Tim Kanters & Leona Hakkaart-van Roijen & Job Exel, 2022. "In Absence of Absenteeism: Some Thoughts on Productivity Costs in Economic Evaluations in a Post-corona Era," PharmacoEconomics, Springer, vol. 40(1), pages 7-11, January.
    9. Mangen, Marie-Josee J. & Havelaar, Arie H. & Nauta, Maarten J. & de Koeijer, Aline A. & de Wit, G. Ardine, 2005. "Controlling Campylabacter in the Chicken Meat Chain: A Cost-Utility Analysis," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24763, European Association of Agricultural Economists.
    10. Paul Hanly & Rebecca Maguire & Frances Drummond & Linda Sharp, 2019. "Variation in the methodological approach to productivity cost valuation: the case of prostate cancer," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(9), pages 1399-1408, December.
    11. Allison Larg & John Moss, 2011. "Cost-of-Illness Studies," PharmacoEconomics, Springer, vol. 29(8), pages 653-671, August.
    12. Zhang, Wei & Bansback, Nick & Anis, Aslam H., 2011. "Measuring and valuing productivity loss due to poor health: A critical review," Social Science & Medicine, Elsevier, vol. 72(2), pages 185-192, January.
    13. Foster, Nicola & Vassall, Anna & Cleary, Susan & Cunnama, Lucy & Churchyard, Gavin & Sinanovic, Edina, 2015. "The economic burden of TB diagnosis and treatment in South Africa," Social Science & Medicine, Elsevier, vol. 130(C), pages 42-50.
    14. Elżbieta Antczak & Katarzyna M. Miszczyńska, 2021. "Causes of Sickness Absenteeism in Europe—Analysis from an Intercountry and Gender Perspective," IJERPH, MDPI, vol. 18(22), pages 1-22, November.
    15. Juan Oliva-Moreno, 2012. "Loss of labour productivity caused by disease and health problems: what is the magnitude of its effect on Spain’s Economy?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(5), pages 605-614, October.
    16. Mennini, Francesco Saverio & Gitto, Lara, 2022. "Approaches to Estimating Indirect Costs in Healthcare: Motivations for Choice," MPRA Paper 112129, University Library of Munich, Germany.
    17. Silke B. Wolfenstetter & Christina M. Wenig, 2010. "Economic Evaluation and Transferability of Physical Activity Programmes in Primary Prevention: A Systematic Review," IJERPH, MDPI, vol. 7(4), pages 1-27, April.
    18. Kurubaran Ganasegeran & Chee Peng Hor & Mohd Fadzly Amar Jamil & Hong Chuan Loh & Juliana Mohd Noor & Norshahida Abdul Hamid & Purnima Devi Suppiah & Mohd Rizal Abdul Manaf & Alan Swee Hock Ch’ng & Ir, 2020. "A Systematic Review of the Economic Burden of Type 2 Diabetes in Malaysia," IJERPH, MDPI, vol. 17(16), pages 1-23, August.
    19. Ghislaine van Mastrigt & Caroline van Heugten & Anne Visser-Meily & Leonarda Bremmers & Silvia Evers, 2022. "Estimating the Burden of Stroke: Two-Year Societal Costs and Generic Health-Related Quality of Life of the Restore4Stroke Cohort," IJERPH, MDPI, vol. 19(17), pages 1-15, September.
    20. Marieke Krol & Werner Brouwer, 2014. "How to Estimate Productivity Costs in Economic Evaluations," PharmacoEconomics, Springer, vol. 32(4), pages 335-344, April.

    More about this item

    Keywords

    Occupational health; Cost of illness; Asbestos; Respiratory tract neoplasms; Respiratory cancer;
    All these keywords.

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • J32 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Nonwage Labor Costs and Benefits; Retirement Plans; Private Pensions

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:halshs-00922838. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.