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Record W3108601257 · doi:10.1016/j.invent.2020.100354

Effectiveness of a voluntary casino self-exclusion online self-management program

2020· article· en· W3108601257 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternet Interventions · 2020
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsUniversity of CalgaryDalhousie University
FundersAlberta Gambling Research Institute, University of Calgary
KeywordsCLARITYPsychologyRandomized controlled trialSelf-managementIntervention (counseling)Set (abstract data type)Psychological interventionInteractive voice responseClinical psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

Despite evidence for effectiveness, only a small proportion of individuals with gambling disorder ever access treatment and support resources for their problem. Voluntary self-exclusion (VSE) programs are an ideal circumstance to engage individuals who are reluctant or have not yet sought formal treatment, given that individuals are already electing to prevent themselves from gambling through self-exclusion. The present study was a randomized controlled trial of a novel, online VSE self-management intervention. Individuals who chose to self-exclude at gambling venues (N = 201) were randomly assigned to participate in an online self-management program combined with VSE or to an in-person self-awareness educational workshop combined with VSE comparison group. Following a baseline assessment, participants were followed up at three, six, and twelve months via telephone interviews. Measured outcomes were gambling frequency and expenditure, problem gambling scores, problem drinking scores, type of goal set for gambling behaviour, quality of life, and treatment-seeking. The 12-month follow-up rate was 71% (n = 143). Participants in both VSE groups gambled less, spent less money gambling, and reported decreased need for formal treatment. However, there were no significant group differences on any of the primary or secondary outcomes. Only 30–35% of the participants completed their assigned workshop, depending on the group. Results from the online program satisfaction survey revealed that participants generally liked the program and rated the quality of the content highly, but thought there could be improvement regarding interactivity, variety, stimulation and greater clarity around registration steps and program objectives. The online VSE program is an effective alternative to the face-to-face VSE program. Although the outcomes between the two programs were not significantly different, the online program is easier to administer, able to reach more individuals since it only requires access to a computer and is based on motivational evidence-based principles of psychotherapy for gambling disorder.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.086
GPT teacher head0.421
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it