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A framework for indirect elicitation of the public health impact of gambling problems
Gambling problems are increasingly understood as a health-related condition, with harms from excessive time and money expenditure contributing to significant population morbidity. In many countries, the prevalence of gambling problems is known with some precision. However, the true severity of gambl...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670710/ https://www.ncbi.nlm.nih.gov/pubmed/33198709 http://dx.doi.org/10.1186/s12889-020-09813-z |
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author | Browne, Matthew Rawat, Vijay Newall, Philip Begg, Stephen Rockloff, Matthew Hing, Nerilee |
author_facet | Browne, Matthew Rawat, Vijay Newall, Philip Begg, Stephen Rockloff, Matthew Hing, Nerilee |
author_sort | Browne, Matthew |
collection | PubMed |
description | Gambling problems are increasingly understood as a health-related condition, with harms from excessive time and money expenditure contributing to significant population morbidity. In many countries, the prevalence of gambling problems is known with some precision. However, the true severity of gambling problems in terms of their impact on health and wellbeing is the subject of ongoing debate. We firstly review recent research that has attempted to estimate harm from gambling, including studies that estimate disability weights using direct elicitation. Limitations of prior approaches are discussed, most notably potential inflation due to non-independent comorbidity with other substance use and mental health conditions, and potential biases in the subjective attribution of morbidity to gambling. An alternative indirect elicitation approach is outlined, and a conceptual framework for its application to gambling is provided. Significant risk factors for propensity to develop gambling problems are enumerated, and relative risks for comorbidities are calculated from recent meta-analyses and reviews. Indirect elicitation provides a promising alternative framework for assessing the causal link between gambling problems and morbidity. This approach requires implementation of propensity score matching to estimate the counterfactual, and demands high quality information of risk factors and comorbid conditions, in order to estimate the unique contribution of gambling problems. Gambling harm is best understood as a decrement to health utility. However, achieving consensus on the severity of gambling problems requires triangulation of results from multiple methodologies. Indirect elicitation with propensity score matching and accounting for comorbidities would provide an important step towards full integration of gambling within a public health paradigm. |
format | Online Article Text |
id | pubmed-7670710 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76707102020-11-18 A framework for indirect elicitation of the public health impact of gambling problems Browne, Matthew Rawat, Vijay Newall, Philip Begg, Stephen Rockloff, Matthew Hing, Nerilee BMC Public Health Review Gambling problems are increasingly understood as a health-related condition, with harms from excessive time and money expenditure contributing to significant population morbidity. In many countries, the prevalence of gambling problems is known with some precision. However, the true severity of gambling problems in terms of their impact on health and wellbeing is the subject of ongoing debate. We firstly review recent research that has attempted to estimate harm from gambling, including studies that estimate disability weights using direct elicitation. Limitations of prior approaches are discussed, most notably potential inflation due to non-independent comorbidity with other substance use and mental health conditions, and potential biases in the subjective attribution of morbidity to gambling. An alternative indirect elicitation approach is outlined, and a conceptual framework for its application to gambling is provided. Significant risk factors for propensity to develop gambling problems are enumerated, and relative risks for comorbidities are calculated from recent meta-analyses and reviews. Indirect elicitation provides a promising alternative framework for assessing the causal link between gambling problems and morbidity. This approach requires implementation of propensity score matching to estimate the counterfactual, and demands high quality information of risk factors and comorbid conditions, in order to estimate the unique contribution of gambling problems. Gambling harm is best understood as a decrement to health utility. However, achieving consensus on the severity of gambling problems requires triangulation of results from multiple methodologies. Indirect elicitation with propensity score matching and accounting for comorbidities would provide an important step towards full integration of gambling within a public health paradigm. BioMed Central 2020-11-16 /pmc/articles/PMC7670710/ /pubmed/33198709 http://dx.doi.org/10.1186/s12889-020-09813-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Browne, Matthew Rawat, Vijay Newall, Philip Begg, Stephen Rockloff, Matthew Hing, Nerilee A framework for indirect elicitation of the public health impact of gambling problems |
title | A framework for indirect elicitation of the public health impact of gambling problems |
title_full | A framework for indirect elicitation of the public health impact of gambling problems |
title_fullStr | A framework for indirect elicitation of the public health impact of gambling problems |
title_full_unstemmed | A framework for indirect elicitation of the public health impact of gambling problems |
title_short | A framework for indirect elicitation of the public health impact of gambling problems |
title_sort | framework for indirect elicitation of the public health impact of gambling problems |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670710/ https://www.ncbi.nlm.nih.gov/pubmed/33198709 http://dx.doi.org/10.1186/s12889-020-09813-z |
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