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Disability Weights for Chronic Mercury Intoxication Resulting from Gold Mining Activities: Results from an Online Pairwise Comparisons Survey

Author

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  • Nadine Steckling

    (Unit Paediatric Environmental Epidemiology, WHO Collaborating Centre for Occupational Health, Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital Munich, Ziemssenstr. 1, Munich 80336, Germany
    Department of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT—University for Health Sciences, Medical Informatics and Technology, Eduard Wallnoefer Center I, Hall in Tyrol 6060, Austria
    Department of Environment & Health, School of Public Health, Bielefeld University, Universitätsstr. 25, Bielefeld 33615, Germany)

  • Brecht Devleesschauwer

    (Department of Public Health and Surveillance, Scientific Institute of Public Health (WIV-ISP), Rue Juliette Wytsmanstraat 14, Brussels 1050, Belgium)

  • Julia Winkelnkemper

    (Department of Public Health Medicine, School of Public Health, Bielefeld University, Universitätsstr. 25, Bielefeld 33615, Germany)

  • Florian Fischer

    (Department of Public Health Medicine, School of Public Health, Bielefeld University, Universitätsstr. 25, Bielefeld 33615, Germany)

  • Bret Ericson

    (Pure Earth, Formerly Blacksmith Institute, 475 Riverside Drive, Suite 860, New York, NY 10115, USA)

  • Alexander Krämer

    (Department of Public Health Medicine, School of Public Health, Bielefeld University, Universitätsstr. 25, Bielefeld 33615, Germany)

  • Claudia Hornberg

    (Department of Environment & Health, School of Public Health, Bielefeld University, Universitätsstr. 25, Bielefeld 33615, Germany)

  • Richard Fuller

    (Pure Earth, Formerly Blacksmith Institute, 475 Riverside Drive, Suite 860, New York, NY 10115, USA)

  • Dietrich Plass

    (Section Exposure Assessment and Environmental Health Indicators, German Environment Agency, Corrensplatz 1, Berlin 14195, Germany
    These authors contributed equally to this work.)

  • Stephan Bose-O’Reilly

    (Unit Paediatric Environmental Epidemiology, WHO Collaborating Centre for Occupational Health, Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital Munich, Ziemssenstr. 1, Munich 80336, Germany
    Department of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT—University for Health Sciences, Medical Informatics and Technology, Eduard Wallnoefer Center I, Hall in Tyrol 6060, Austria
    These authors contributed equally to this work.)

Abstract

In artisanal small-scale gold mining, mercury is used for gold-extraction, putting miners and nearby residents at risk of chronic metallic mercury vapor intoxication (CMMVI). Burden of disease (BoD) analyses allow the estimation of the public health relevance of CMMVI, but until now there have been no specific CMMVI disability weights (DWs). The objective is to derive DWs for moderate and severe CMMVI. Disease-specific and generic health state descriptions of 18 diseases were used in a pairwise comparison survey. Mercury and BoD experts were invited to participate in an online survey. Data were analyzed using probit regression. Local regression was used to make the DWs comparable to the Global Burden of Disease (GBD) study. Alternative survey (visual analogue scale) and data analyses approaches (linear interpolation) were evaluated in scenario analyses. A total of 105 participants completed the questionnaire. DWs for moderate and severe CMMVI were 0.368 (0.261–0.484) and 0.588 (0.193–0.907), respectively. Scenario analyses resulted in higher mean values. The results are limited by the sample size, group of interviewees, questionnaire extent, and lack of generally accepted health state descriptions. DWs were derived to improve the data basis of mercury-related BoD estimates, providing useful information for policy-making. Integration of the results into the GBD DWs enhances comparability.

Suggested Citation

  • Nadine Steckling & Brecht Devleesschauwer & Julia Winkelnkemper & Florian Fischer & Bret Ericson & Alexander Krämer & Claudia Hornberg & Richard Fuller & Dietrich Plass & Stephan Bose-O’Reilly, 2017. "Disability Weights for Chronic Mercury Intoxication Resulting from Gold Mining Activities: Results from an Online Pairwise Comparisons Survey," IJERPH, MDPI, vol. 14(1), pages 1-19, January.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:1:p:57-:d:87337
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    References listed on IDEAS

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    1. Brecht Devleesschauwer & Arie Havelaar & Charline Maertens de Noordhout & Juanita Haagsma & Nicolas Praet & Pierre Dorny & Luc Duchateau & Paul Torgerson & Herman Oyen & Niko Speybroeck, 2014. "DALY calculation in practice: a stepwise approach," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(3), pages 571-574, June.
    2. Brecht Devleesschauwer & Arie Havelaar & Charline Maertens de Noordhout & Juanita Haagsma & Nicolas Praet & Pierre Dorny & Luc Duchateau & Paul Torgerson & Herman Oyen & Niko Speybroeck, 2014. "Calculating disability-adjusted life years to quantify burden of disease," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(3), pages 565-569, June.
    3. J. Leighton Read & Robert J. Quinn & Donald M. Berwick & Harvey V. Fineberg & Milton C. Weinstein, 1984. "Preferences for Health Outcomes," Medical Decision Making, , vol. 4(3), pages 315-329, August.
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    1. Leonardo Barcellos de Bakker & Pedro Gasparinetti & Júlia Mello de Queiroz & Ana Claudia Santiago de Vasconcellos, 2021. "Economic Impacts on Human Health Resulting from the Use of Mercury in the Illegal Gold Mining in the Brazilian Amazon: A Methodological Assessment," IJERPH, MDPI, vol. 18(22), pages 1-26, November.

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