IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i9p4395-d540154.html
   My bibliography  Save this article

The Evolution of Gambling-Related Harm Measurement: Lessons from the Last Decade

Author

Listed:
  • Matthew Browne

    (School of Health, Medical and Applied Sciences, CQUniversity, Bundaberg 4670, Australia)

  • Vijay Rawat

    (School of Health, Medical and Applied Sciences, CQUniversity, Bundaberg 4670, Australia)

  • Catherine Tulloch

    (School of Health, Medical and Applied Sciences, CQUniversity, Bundaberg 4670, Australia)

  • Cailem Murray-Boyle

    (School of Health, Medical and Applied Sciences, CQUniversity, Bundaberg 4670, Australia)

  • Matthew Rockloff

    (School of Health, Medical and Applied Sciences, CQUniversity, Bundaberg 4670, Australia)

Abstract

Jurisdictions around the world have a self-declared mandate to reduce gambling-related harm. However, historically, this concept has suffered from poor conceptualisation and operationalisation. However, recent years have seen swift advances in measuring gambling harm, based on the principle of it being a quantifiable decrement to the health and wellbeing of the gambler and those connected to them. This review takes stock of the background and recent developments in harm assessment and summarises recent research that has validated and applied the Short Gambling Harms Screen and related instruments. We recommend that future work builds upon the considerable psychometric evidence accumulated for the feasibility of direct elicitation of harmful consequences. We also advocate for grounding harms measures with respect to scalar changes to public health utility metrics. Such an approach will avoid misleading pseudo-clinical categorisations, provide accurate population-level summaries of where the burden of harm is carried, and serve to integrate gambling research with the broader field of public health.

Suggested Citation

  • Matthew Browne & Vijay Rawat & Catherine Tulloch & Cailem Murray-Boyle & Matthew Rockloff, 2021. "The Evolution of Gambling-Related Harm Measurement: Lessons from the Last Decade," IJERPH, MDPI, vol. 18(9), pages 1-14, April.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:9:p:4395-:d:540154
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/9/4395/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/9/4395/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jan Mcmillen & Michael Wenzel, 2006. "Measuring Problem Gambling: Assessment of Three Prevalence Screens," International Gambling Studies, Taylor & Francis Journals, vol. 6(2), pages 147-174.
    2. Brazier, John & Roberts, Jennifer & Deverill, Mark, 2002. "The estimation of a preference-based measure of health from the SF-36," Journal of Health Economics, Elsevier, vol. 21(2), pages 271-292, March.
    3. Matthew Browne & Nancy Greer & Vijay Rawat & Matthew Rockloff, 2017. "A population-level metric for gambling-related harm," International Gambling Studies, Taylor & Francis Journals, vol. 17(2), pages 163-175, May.
    4. K. Shannon & F. Anjoul & A. Blaszczynski, 2017. "Mapping the proportional distribution of gambling-related harms in a clinical and community sample," International Gambling Studies, Taylor & Francis Journals, vol. 17(3), pages 366-385, September.
    5. Nerilee Hing & Matthew Browne & Alex M T Russell & Matthew Rockloff & Vijay Rawat & Fiona Nicoll & Garry Smith, 2019. "Avoiding gambling harm: An evidence-based set of safe gambling practices for consumers," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-18, October.
    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. Sari Castrén & Kalle Lind & Heli Hagfors & Anne H. Salonen, 2021. "Gambling-Related Harms for Affected Others: A Finnish Population-Based Survey," IJERPH, MDPI, vol. 18(18), pages 1-11, September.
    2. Tiina Latvala & Matthew Browne & Matthew Rockloff & Anne H. Salonen, 2021. "18-Item Version of the Short Gambling Harm Screen (SGHS-18): Validation of Screen for Assessing Gambling-Related Harm among Finnish Population," IJERPH, MDPI, vol. 18(21), pages 1-13, November.

    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. Samer A. Kharroubi & Yara Beyh & Marwa Diab El Harake & Dalia Dawoud & Donna Rowen & John Brazier, 2020. "Examining the Feasibility and Acceptability of Valuing the Arabic Version of SF-6D in a Lebanese Population," IJERPH, MDPI, vol. 17(3), pages 1-15, February.
    2. Nick Bansback & Huiying Sun & Daphne P. Guh & Xin Li & Bohdan Nosyk & Susan Griffin & Paul G. Barnett & Aslam H. Anis, 2008. "Impact of the recall period on measuring health utilities for acute events," Health Economics, John Wiley & Sons, Ltd., vol. 17(12), pages 1413-1419.
    3. Clarke, Philip & Erreygers, Guido, 2020. "Defining and measuring health poverty," Social Science & Medicine, Elsevier, vol. 244(C).
    4. Francesca Cornaglia & Naomi E. Feldman & Andrew Leigh, 2014. "Crime and Mental Well-Being," Journal of Human Resources, University of Wisconsin Press, vol. 49(1), pages 110-140.
    5. Ratcliffe, Julie & Huynh, Elisabeth & Chen, Gang & Stevens, Katherine & Swait, Joffre & Brazier, John & Sawyer, Michael & Roberts, Rachel & Flynn, Terry, 2016. "Valuing the Child Health Utility 9D: Using profile case best worst scaling methods to develop a new adolescent specific scoring algorithm," Social Science & Medicine, Elsevier, vol. 157(C), pages 48-59.
    6. Stavros Petrou & Oliver Rivero-Arias & Helen Dakin & Louise Longworth & Mark Oppe & Robert Froud & Alastair Gray, 2015. "Preferred Reporting Items for Studies Mapping onto Preference-Based Outcome Measures: The MAPS Statement," Medical Decision Making, , vol. 35(6), pages 1-8, August.
    7. Anirban Basu & William Dale & Arthur Elstein & David Meltzer, 2009. "A linear index for predicting joint health‐states utilities from single health‐states utilities," Health Economics, John Wiley & Sons, Ltd., vol. 18(4), pages 403-419, April.
    8. McCabe, Christopher & Brazier, John & Gilks, Peter & Tsuchiya, Aki & Roberts, Jennifer & O'Hagan, Anthony & Stevens, Katherine, 2006. "Using rank data to estimate health state utility models," Journal of Health Economics, Elsevier, vol. 25(3), pages 418-431, May.
    9. Thomas Reinhold & Claudia Witt & Susanne Jena & Benno Brinkhaus & Stefan Willich, 2008. "Quality of life and cost-effectiveness of acupuncture treatment in patients with osteoarthritis pain," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 9(3), pages 209-219, August.
    10. Kontodimopoulos, Nick & Niakas, Dimitris, 2008. "An estimate of lifelong costs and QALYs in renal replacement therapy based on patients' life expectancy," Health Policy, Elsevier, vol. 86(1), pages 85-96, April.
    11. Allanson, Paul, 2017. "Monitoring income-related health differences between regions in Great Britain: A new measure for ordinal health data," Social Science & Medicine, Elsevier, vol. 175(C), pages 72-80.
    12. Andrew M. Jones & Audrey Laporte & Nigel Rice & Eugenio Zucchelli, 2019. "Dynamic panel data estimation of an integrated Grossman and Becker–Murphy model of health and addiction," Empirical Economics, Springer, vol. 56(2), pages 703-733, February.
    13. Makai, Peter & Brouwer, Werner B.F. & Koopmanschap, Marc A. & Stolk, Elly A. & Nieboer, Anna P., 2014. "Quality of life instruments for economic evaluations in health and social care for older people: A systematic review," Social Science & Medicine, Elsevier, vol. 102(C), pages 83-93.
    14. Stevens, K, 2010. "Valuation of the Child Health Utility Index 9D (CHU9D)," MPRA Paper 29938, University Library of Munich, Germany.
    15. Brazier, JE & Yang, Y & Tsuchiya, A, 2008. "A review of studies mapping (or cross walking) from non-preference based measures of health to generic preference-based measures," MPRA Paper 29808, University Library of Munich, Germany.
    16. Johanna L. Bosch & Elkan F. Halpern & G. Scott Gazelle, 2002. "Comparison of Preference-Based Utilities of the Short-Form 36 Health Survey and Health Utilities Index before and after Treatment of Patients with Intermittent Claudication," Medical Decision Making, , vol. 22(5), pages 403-409, October.
    17. Christopher McCabe & Katherine Stevens & Jennifer Roberts & John Brazier, 2005. "Health state values for the HUI 2 descriptive system: results from a UK survey," Health Economics, John Wiley & Sons, Ltd., vol. 14(3), pages 231-244, March.
    18. Swee Soon & Su Goh & Yong Bee & Jiat Poon & Shu Li & Julian Thumboo & Hwee Wee, 2010. "Audit of Diabetes-Dependent Quality of Life (ADDQoL) [Chinese version for Singapore] questionnaire," Applied Health Economics and Health Policy, Springer, vol. 8(4), pages 239-249, July.
    19. Ian M. McCarthy, 2015. "Putting the Patient in Patient Reported Outcomes: A Robust Methodology for Health Outcomes Assessment," Health Economics, John Wiley & Sons, Ltd., vol. 24(12), pages 1588-1603, December.
    20. Roisin Adams & Cathal Walsh & Douglas Veale & Barry Bresnihan & Oliver FitzGerald & Michael Barry, 2010. "Understanding the Relationship between the EQ-5D, SF-6D, HAQ and Disease Activity in Inflammatory Arthritis," PharmacoEconomics, Springer, vol. 28(6), pages 477-487, June.

    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:18:y:2021:i:9:p:4395-:d:540154. 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.