IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i8p4862-d795627.html
   My bibliography  Save this article

Cancers: What Are the Costs in Relation to Disability-Adjusted Life Years? A Systematic Review and Meta-Analysis

Author

Listed:
  • Jacopo Garlasco

    (Department of Public Health Sciences and Paediatrics, University of Turin, 10126 Turin, Italy)

  • Mario Cesare Nurchis

    (Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A, Gemelli IRCCS, 00168 Rome, Italy)

  • Valerio Bordino

    (Department of Public Health Sciences and Paediatrics, University of Turin, 10126 Turin, Italy)

  • Martina Sapienza

    (Department of Health Sciences and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy)

  • Gerardo Altamura

    (Department of Health Sciences and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy)

  • Gianfranco Damiani

    (Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A, Gemelli IRCCS, 00168 Rome, Italy
    Department of Health Sciences and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy)

  • Maria Michela Gianino

    (Department of Public Health Sciences and Paediatrics, University of Turin, 10126 Turin, Italy)

Abstract

Cancers currently represent a leading cause of morbidity and mortality, and precisely estimating their burden is crucial for evidence-based decision-making. This study aimed at understanding the average costs of cancer-related disability-adjusted life years (DALYs) and highlighting possible differences in economic estimates obtained with diverse approaches. We searched four scientific databases to identify all the primary literature simultaneously investigating cancer-related costs and DALYs. In view of the different methodologies, studies were divided into two groups: those estimating costs starting from DALYs, and those independently performing cost and DALY analyses. The latter were pooled to compute costs per disease-related DALY: meta-analytic syntheses were performed for total costs and indirect costs, and in relation to the corresponding gross domestic product (GDP) per capita. The quality of included studies was assessed through the Quality of Health Economic Studies instrument. Seven studies were selected. Total and indirect pooled costs per DALY were, respectively, USD 9150 (95% CI: 5560–15,050) and USD 3890 (95% CI: 2570–5880). Moreover, the cost per cancer-related DALY has been found to be, on average, 32% (95% CI: 24–42%) of the corresponding countries’ GDP per capita. Costs calculated a priori from DALYs may lead to results widely different from those obtained after data retrieval and model building. Further research is needed to better estimate the economic burden of cancer in terms of costs and DALYs.

Suggested Citation

  • Jacopo Garlasco & Mario Cesare Nurchis & Valerio Bordino & Martina Sapienza & Gerardo Altamura & Gianfranco Damiani & Maria Michela Gianino, 2022. "Cancers: What Are the Costs in Relation to Disability-Adjusted Life Years? A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 19(8), pages 1-17, April.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:8:p:4862-:d:795627
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/8/4862/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/8/4862/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Orley Ashenfelter & Michael Greenstone, 2004. "Estimating the Value of a Statistical Life: The Importance of Omitted Variables and Publication Bias," American Economic Review, American Economic Association, vol. 94(2), pages 454-460, May.
    2. Manuel Neves & Fernanda Trigo & Bergantim Rui & Cristina João & Paulo Lúcio & Neves Mariana & João Mendes & Hugo Pedrosa & Catarina Geraldes, 2021. "Multiple Myeloma in Portugal: Burden of Disease and Cost of Illness," PharmacoEconomics, Springer, vol. 39(5), pages 579-587, May.
    3. Viscusi, W. Kip & Masterman, Clayton J., 2017. "Income Elasticities and Global Values of a Statistical Life," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 8(2), pages 226-250, July.
    4. Bellavance, Franois & Dionne, Georges & Lebeau, Martin, 2009. "The value of a statistical life: A meta-analysis with a mixed effects regression model," Journal of Health Economics, Elsevier, vol. 28(2), pages 444-464, March.
    5. Orley Ashenfelter & Michael Greenstone, 2004. "Estimating the Value of a Statistical Life: The Importance of Omitted Variables and Publication Bias," American Economic Review, American Economic Association, vol. 94(2), pages 454-460, May.
    6. Ted R Miller & Geetha M Waehrer & Debora L Oh & Sukhdip Purewal Boparai & Sheila Ohlsson Walker & Sara Silverio Marques & Nadine Burke Harris, 2020. "Adult health burden and costs in California during 2013 associated with prior adverse childhood experiences," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-15, January.
    7. Richard A. Hirth & Michael E. Chernew & Edward Miller & A. Mark Fendrick & William G. Weissert, 2000. "Willingness to Pay for a Quality-adjusted Life Year," Medical Decision Making, , vol. 20(3), pages 332-342, July.
    8. Orley Ashenfelter & Michael Greenstone, 2004. "Estimating the Value of a Statistical Life: The Importance of Omitted Variables and Publication Bias," Working Papers 858, Princeton University, Department of Economics, Industrial Relations Section..
    9. Anand, Sudhir & Hanson, Kara, 1997. "Disability-adjusted life years: a critical review," Journal of Health Economics, Elsevier, vol. 16(6), pages 685-702, December.
    Full references (including those not matched with items on IDEAS)

    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. Zubova, E., 2022. "Value of statistical life in Russia based on microdata," Journal of the New Economic Association, New Economic Association, vol. 53(1), pages 163-179.
    2. Garret Christensen & Edward Miguel, 2018. "Transparency, Reproducibility, and the Credibility of Economics Research," Journal of Economic Literature, American Economic Association, vol. 56(3), pages 920-980, September.
    3. Opoku-Agyemang, Kweku A., 2017. "A Human-Computer Interaction Approach for Integrity in Economics," SocArXiv ra3cs, Center for Open Science.
    4. W. Kip Viscusi & Clayton Masterman, 2017. "Anchoring biases in international estimates of the value of a statistical life," Journal of Risk and Uncertainty, Springer, vol. 54(2), pages 103-128, April.
    5. Stanley, T.D. & Doucouliagos, Chris & Jarrell, Stephen B., 2008. "Meta-regression analysis as the socio-economics of economics research," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(1), pages 276-292, February.
    6. Marek Rusnak & Tomas Havranek & Roman Horvath, 2013. "How to Solve the Price Puzzle? A Meta-Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(1), pages 37-70, February.
    7. Havranek, Tomas & Irsova, Zuzana & Gechert, Sebastian & Kolcunova, Dominika, 2019. "Death to the Cobb-Douglas Production Function? A Meta-Analysis of the Capital-Labor Substitution Elasticity," MetaArXiv 6um5g, Center for Open Science.
    8. Sebastian Gechert & Tomas Havranek & Zuzana Irsova & Dominika Kolcunova, 2022. "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 55-82, July.
    9. Christopher Hansman & Jonas Hjort & Gianmarco León, 2015. "Firms' Response and Unintended Health Consequences of Industrial Regulations," Working Papers 809, Barcelona School of Economics.
    10. Herrera-Araujo, Daniel & Rochaix, Lise, 2020. "Does the Value per Statistical Life vary with age or baseline health? Evidence from a compensating wage study in France," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    11. Roman Horvath & Ali Elminejad & Tomas Havranek, 2020. "Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply," Working Papers IES 2020/32, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2020.
    12. Bergstrom, John C. & Taylor, Laura O., 2006. "Using meta-analysis for benefits transfer: Theory and practice," Ecological Economics, Elsevier, vol. 60(2), pages 351-360, December.
    13. Alessandro Barbarino & Giovanni Mastrobuoni, 2014. "The Incapacitation Effect of Incarceration: Evidence from Several Italian Collective Pardons," American Economic Journal: Economic Policy, American Economic Association, vol. 6(1), pages 1-37, February.
    14. Tomas Havranek, 2013. "Publication Bias in Measuring Intertemporal Substitution," Working Papers IES 2013/15, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2013.
    15. Tomas Havranek & Marek Rusnak, 2013. "Transmission Lags of Monetary Policy: A Meta-Analysis," International Journal of Central Banking, International Journal of Central Banking, vol. 9(4), pages 39-76, December.
    16. Gianmarco León & Edward Miguel, 2017. "Risky Transportation Choices and the Value of a Statistical Life," American Economic Journal: Applied Economics, American Economic Association, vol. 9(1), pages 202-228, January.
    17. Henrik Andersson & Nicolas Treich, 2011. "The Value of a Statistical Life," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 17, Edward Elgar Publishing.
    18. Anton Astakhov & Tomas Havranek & Jiri Novak, 2019. "Firm Size And Stock Returns: A Quantitative Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 33(5), pages 1463-1492, December.
    19. David A. Hensher, 2005. "Integrating Accident and Travel Delay Externalities in an Urban Speed Reduction Context," Transport Reviews, Taylor & Francis Journals, vol. 26(4), pages 521-534, June.
    20. Polák, Petr, 2017. "The productivity paradox: A meta-analysis," Information Economics and Policy, Elsevier, vol. 38(C), pages 38-54.

    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:19:y:2022:i:8:p:4862-:d:795627. 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.