Gambling behaviours and treatment uptake among vulnerable populations during COVID-19 crisis
Bibliographic record
Abstract
This study aimed to explore changes in gambling behaviours and gambling disorder (GD) treatment uptake during the COVID-19 pandemic among those with a heightened vulnerability to gambling-related harm. This was a single-center, cross-sectional, retrospective case series study assessing gambling behaviours and GD counselling participation among a vulnerable population sector following the COVID-19 shutdown. The clinical records of clients at a community substance use disorder (SUD) treatment center were explored (N = 67). Eight clients (n = 8) had satisfied the objective criteria, and were qualified for data exploration and analysis of gambling activities and GD treatment participation following the COVID-19 shutdown. All clients in the study belonged to subgroups at an elevated risk for gambling-related harm, with a mean duration of gambling problems of 9.5 years. Following the COVID-19 shutdown, an increase in gambling activities was noted in five cases. Migration to online gambling was noted in three cases. In two cases, no change in gambling activities was noted, and a reduction of gambling activities was noted in one case. In seven cases, no screening for gambling problems prior to current SUD program was noted. None had a history of, nor were currently engaged in counselling for gambling problems. The COVID-19 crisis and associated increase in gambling participation, coupled with a diminutive gambling counselling uptake during the pandemic, present an opportunity to rethink current behavioural addictions service delivery model for those with an increased vulnerability to gambling-related harm. Further investigation of the changes in gambling participation, and a closer look at optimizing GD service delivery among vulnerable population sectors during the COVID-19 crisis is warranted.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".