Author:
Moore Esther,Pryce Robert,Squires Hazel,Goyder Elizabeth
Abstract
Abstract
Background
Problem gambling can lead to health-related harms, such as poor mental health and suicide. In the UK there is interest in introducing guidance around effective and cost-effective interventions to prevent harm from gambling. There are no estimates of the health state utilities associated with problem gambling severity from the general population in the UK. These are required to determine the cost-effectiveness of interventions. This study aims to use an indirect elicitation method to estimate health state utilities, using the EQ-5D, for various levels of problem gambling and gambling-related harm.
Methods
We used the Health Survey for England to estimate EQ-5D-derived health state utilities associated with the different categories of the Problem Gambling Severity Index (PGSI), PGSI score and a 7-item PGSI-derived harms variable. Propensity score matching was used to create a matched dataset with respect to risk factors for problem gambling and regression models were used to estimate the EQ-5D-derived utility score and the EQ-5D domain score whilst controlling for key comorbidities. Further exploratory analysis was performed to look at the relationship between problem gambling and the individual domains of the EQ-5D.
Results
We did not find any significant attributable decrements to health state utility for any of the PGSI variables (categories, score and 7-item PGSI derived harms variable) when key comorbidities were controlled for. However, we did find a significant association between the 7-item PGSI derived harms variable and having a higher score (worse health) in the anxiety/depression domain of the EQ-5D, when comorbidities were controlled for.
Conclusions
This study found no significant association between problem gambling severity and HRQoL measured by the EQ-5D when controlling for comorbidities. There might be several reasons for this including that this might reflect the true relationship between problem gambling and HRQoL, the sample size in this study was insufficient to detect a significant association, the PGSI is insufficient for measuring gambling harm, or the EQ-5D is not sensitive enough to detect the changes in HRQoL caused by gambling. Further research into each of these possibilities is needed to understand more about the relationship between problem gambling severity and HRQoL.
Publisher
Springer Science and Business Media LLC
Reference38 articles.
1. Johnstone P, Regan M. Gambling harm is everybody’s business: a public health approach and call to action. Public Health. 2020;1(184):63–6.
2. Health TLP. Gambling: a neglected public health issue. Lancet Public Health. 2021;6(1):e1.
3. Office For Health Improvement and Disparities. The economic cost of gambling-related harm in England: evidence update 2023. 2023.
4. National Institute for Health and Care Excellence. Project information | Harmful gambling: identification, assessment and management | Guidance | NICE. NICE; 2024. Available from: https://www.nice.org.uk/guidance/indevelopment/gid-ng10210. Cited 2023 Apr 27.
5. Policies and interventions to reduce harmful gambling: an international Delphi consensus and implementation rating study | Elsevier Enhanced Reader. Available from: https://reader.elsevier.com/reader/sd/pii/S2468266722001372?token=A3D9962E0D59CD0F9068B83D7E1A9E944BAF849096264AA9FF26098C0CCFBD661CE9E9076E289E42B943057D48B6B42E&originRegion=eu-west-1&originCreation=20220728151339. Cited 2022 Jul 28.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献