A Prospective Natural History Study of Quitting or Reducing Gambling With or Without Treatment: Protocol
Bibliographic record
Abstract
BACKGROUND: Only a small percentage of gamblers ever seek treatment, often due to stigma, embarrassment, or a desire to handle their problems on their own. While the majority of pathological gamblers who achieve remittance do so without accessing formal treatment, factors related to successful resolution have not been thoroughly explored. OBJECTIVE: Employing a prospective natural history design, the study will therefore undertake an investigation to explore life events, motivating factors, and strategies used by problem gamblers to quit or reduce their gambling without formal treatment. METHODS: Prospective participants (19 years or older) currently gambling at problematic levels with strong intentions toward quitting gambling will be directed to fill out a Web-based survey. Eligible participants will subsequently complete a survey that will assess: (1) types, frequency, and amount of money spent on gambling, (2) life events experienced in the past 12 months, (3) level of autonomous motivation for change, and (4) use of treatment services. Every 3 months for the duration of one year following the completion of their baseline survey, participants will be sent an email notification requesting them to complete a follow-up survey similar in content to the baseline survey. The four surveys will assess whether participants have experienced changes in their gambling behaviors along with positive or negative life events and motivations for change since the last survey. Individuals who are in the action and maintenance stages of quitting gambling at follow-up will be also asked about their techniques and strategies used to quit or reduce gambling. At 18 months post baseline, participants will be asked to complete a fifth and final follow-up survey that will also assess whether participants have experienced any barriers to change and whether they resolved their gambling to low risk levels. RESULTS: The study has commenced in May 2013 and is currently in the recruitment stage. The study is scheduled to conclude in 2016. CONCLUSIONS: As this study will examine the active ingredients in natural recovery from gambling problems, the results will inform ways of promoting change among the large number of problem gamblers who do not seek treatment as well as improve treatment for those who do seek help. The information gained will also be useful in identifying effective self-help strategies for those who face challenges in accessing treatment, may be incorporated in standard treatment, provide brief intervention techniques, as well as inform relapse prevention strategies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.011 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.045 | 0.012 |
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 source (direct Gemma or distilled Codex), 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".