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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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    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.
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    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.

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