Estimating the excess economic burden of gambling

Transcript:Estimating the excess economic burden of gambling:
Estimating the excess economic burden of gambling in Greater Manchester Greater Manchester Combined Authority Research Team, March 2022 Executive Summary (1/3) Economic analysis of the harms associated with problem gambling in Greater Manchester suggests that the estimated excess economic burden of gambling across the city region in 2022 is at least £80m. As with the national estimates included in the PHE Gambling Evidence Review, this is likely to be an underestimate, as some harms have only been partially costed and others not at all. This £80m comprises £46m in direct costs (fiscal costs to the public purse) plus £33m in further societal costs (less tangible impacts reflecting instances of premature deaths associated with gambling). Direct costs relate to a range of harms: treatment for depression; imprisonment; unemployment benefit claims; statutory homelessness; treatment for alcohol dependence; and illicit drug use. Estimating the excess economic burden of gambling in Greater Manchester Executive Summary (2/3) Estimating the excess economic burden of gambling in Greater Manchester Costings related to homelessness, depression, alcohol dependence and illicit drug use reflect harms experienced by at risk (4.3%) and problem gamblers (0.7%). Costings related to suicide, unemployment and imprisonment relate only to problem gamblers. Executive Summary (3/3) Estimating the excess economic burden of gambling in Greater Manchester Part 1 Estimating the excess economic burden of gambling in Greater Manchester Introduction Introduction (1/2) This presentation provides an overview of bespoke analysis undertaken by the GMCA Research Team to estimate the current economic and social costs of harms associated with gambling in Greater Manchester. The analysis closely follows the approach to estimating costs that was included in Public Health England’s evidence review on gambling related harms, published in November 2021. As such, it provides a cost estimate that focuses on the harms associated with both ‘at risk’ and ‘problem’ gambling, which in Greater Manchester encompasses a cohort making up an estimated 5% of the resident population. Part 1. Introduction Introduction (2/2) In mirroring the PHE methodology, the approach to costing uses the best-available evidence on prevalence, harms and costs. Bespoke feature of the local modelling include: (i) use of a robust and bespoke local estimate of at risk and problem gambling in GM, generated from results in the Heath Survey for England; (ii) an approximation of GM ‘shares’ of national cost estimates that reflects both the size of the GM population and local levels of need/harm where available; and (iii)