IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i13p4667-d377737.html
   My bibliography  Save this article

Productivity Burden of Occupational Noise-Induced Hearing Loss in Australia: A Life Table Modelling Study

Author

Listed:
  • Si Si

    (School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria 3000, Australia)

  • Kate Lewkowski

    (School of Public Health, Curtin University, Perth, Western Australia 6102, Australia)

  • Lin Fritschi

    (School of Public Health, Curtin University, Perth, Western Australia 6102, Australia)

  • Jane Heyworth

    (School of Population and Global Health, The University of Western Australia, Perth, Western Australia 6009, Australia)

  • Danny Liew

    (School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria 3000, Australia)

  • Ian Li

    (School of Population and Global Health, The University of Western Australia, Perth, Western Australia 6009, Australia)

Abstract

Background: Occupational noise-induced hearing loss (ONIHL) is one of the most common yet preventable occupational diseases. The aim of this study was to estimate the economic burden of ONIHL in the Australian working population by quantifying and monetising ONIHL—related loss of Quality Adjusted Life Years (QALY) and Productivity Adjusted Life Years (PALYs). Methods: We simulated the number of moderate-to-severe ONIHL by multiplying the age-specific prevalence of occupational noise exposure by the excess risks of ONIHL. Life table modelling was applied to workers with ONIHL. The QALY and PALY weights attributable to hearing loss were sourced from published data. The 2016 Gross Domestic Product per full-time equivalent worker in Australia was used to estimate the cost of productivity loss due to ONIHL. The cost due to the loss of well-being was quantified using willingness to pay thresholds derived from an Australian longitudinal study. Results: Under current occupational noise exposure levels in Australia, we estimated that over 80,000 male workers and over 31,000 female workers would develop ONIHL over 10 years of exposure. Following this cohort until the age of 65 years, the estimated loss of QALYs and PALYs were 62,218 and 135,561 respectively, with a projected loss of AUD 5.5 billion and AUD 21.3 billion due to well-being and productivity loss, respectively. Reducing noise exposure at work would substantially reduce the economic burden of ONIHL. Conclusion: ONIHL imposes substantial burden on Australian economy. Interventions to reduce occupational noise exposure are warranted.

Suggested Citation

  • Si Si & Kate Lewkowski & Lin Fritschi & Jane Heyworth & Danny Liew & Ian Li, 2020. "Productivity Burden of Occupational Noise-Induced Hearing Loss in Australia: A Life Table Modelling Study," IJERPH, MDPI, vol. 17(13), pages 1-9, June.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:13:p:4667-:d:377737
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/13/4667/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/13/4667/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Huang, Li & Frijters, Paul & Dalziel, Kim & Clarke, Philip, 2018. "Life satisfaction, QALYs, and the monetary value of health," Social Science & Medicine, Elsevier, vol. 211(C), pages 131-136.
    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. Nicola Diviani & Shelly Chadha & Malachi Ochieng Arunda & Sara Rubinelli, 2021. "Attitudes towards Safe Listening Measures in Entertainment Venues: Results from an International Survey among Young Venue-Goers," IJERPH, MDPI, vol. 18(23), pages 1-11, December.
    2. Luther Dogbla & Cédric Gouvenelle & Florence Thorin & François-Xavier Lesage & Marek Zak & Ukadike Chris Ugbolue & Barbara Charbotel & Julien S. Baker & Bruno Pereira & Frédéric Dutheil, 2023. "Occupational Risk Factors by Sectors: An Observational Study of 20,000 Workers," IJERPH, MDPI, vol. 20(4), pages 1-16, February.

    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. Frijters, Paul & Krekel, Christian & Ulker, Aydogan, 2023. "Should bads be inflicted all at once, like Machiavelli said? Evidence from life-satisfaction data," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 1-27.
    2. Krekel, Christian & De Neve, Jan-Emmanuel & Fancourt, Daisy & Layard, Richard, 2021. "A local community course that raises wellbeing and pro-sociality: Evidence from a randomised controlled trial," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 322-336.
    3. Kristjana Baldursdottir & Paul McNamee & Edward C. Norton & Tinna Laufey Asgeirsdottir, 2023. "Life satisfaction and body mass index: estimating the monetary value of achieving optimal body weight," Review of Economics of the Household, Springer, vol. 21(4), pages 1215-1246, December.
    4. Stöckel, Jannis & van Exel, Job & Brouwer, Werner B.F., 2023. "Adaptation in life satisfaction and self-assessed health to disability - Evidence from the UK," Social Science & Medicine, Elsevier, vol. 328(C).
    5. Baldursdottir, Kristjana & Asgeirsdottir, Tinna Laufey & Olafsdottir, Thorhildur, 2023. "How sensitive is the compensating income variation to severity and adaptation?," Economics & Human Biology, Elsevier, vol. 49(C).
    6. Sebastian Himmler & Job Exel & Werner Brouwer, 2020. "Estimating the monetary value of health and capability well-being applying the well-being valuation approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(8), pages 1235-1244, November.
    7. Christian R. C. Kouakou & Thomas G. Poder, 2022. "Willingness to pay for a quality-adjusted life year: a systematic review with meta-regression," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(2), pages 277-299, March.
    8. Elizabeth A. Geelhoed & David E. Bloom & Catherine Bock & Paul Flatau & Joelie Mandzufas & Ian Li & Donna Cross, 2022. "Informing Resource Allocation for Investment in Early Childhood: A Review of the International Peer‐Reviewed Evidence," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 55(2), pages 215-231, June.
    9. Sriubaite, I. & Harris, A. & Jones, A.M. & Gabbe, B., 2020. "Economic Consequences of Road Traffic Injuries. Application of the Super Learner algorithm," Health, Econometrics and Data Group (HEDG) Working Papers 20/20, HEDG, c/o Department of Economics, University of York.
    10. Prakash, Kushneel & Awaworyi Churchill, Sefa & Smyth, Russell, 2020. "Petrol prices and subjective wellbeing," Energy Economics, Elsevier, vol. 90(C).
    11. Awaworyi Churchill, Sefa & Smyth, Russell & Farrell, Lisa, 2020. "Fuel poverty and subjective wellbeing," Energy Economics, Elsevier, vol. 86(C).
    12. Huang, Li & Devlin, Nancy & Chen, Gang & Dalziel, Kim, 2024. "A happiness approach to valuing health states for children," Social Science & Medicine, Elsevier, vol. 348(C).
    13. Tinna Laufey Ásgeirsdóttir & Arnar Buason & Ásthildur Margrét Jóhannsdóttir, 2023. "Valuing the Wellbeing Associated with Psychosocial Factors at Work," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(4), pages 1737-1759, August.
    14. Sebastian Himmler & Jannis Stöckel & Job van Exel & Werner B. F. Brouwer, 2021. "The value of health—Empirical issues when estimating the monetary value of a quality‐adjusted life year based on well‐being data," Health Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 1849-1870, August.
    15. Ryota Arai & Masashi Kiguchi & Michio Murakami, 2020. "A Quantitative Estimation of the Effects of Measures to Counter Climate Change on Well-Being: Focus on Non-Use of Air Conditioners as a Mitigation Measure in Japan," Sustainability, MDPI, vol. 12(20), pages 1-18, October.

    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:gam:jijerp:v:17:y:2020:i:13:p:4667-:d:377737. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.