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Impacts of a Self-Help Treatment Program for Problem Gamblers

2015· article· en· W3016372169 on OpenAlex
Robert Ladouceur, Patricia-Maude Fournier, Sophie Lafond, Catherine Boudreault, Annie Goulet, Serge Sévigny, Hélène Simoneau, Isabelle Giroux

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe Canadian Journal of Addiction · 2015
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsQuebec Rehabilitation Research NetworkUniversité Laval
Fundersnot available
KeywordsHumanitiesPsychologyPolitical scienceArt

Abstract

fetched live from OpenAlex

Despite availability of treatments for gamblers, few at-risk and pathological gamblers seek help. Self-help treatments offer a private and personalized alternative that may appeal to gamblers who need help. Objective: This study examines the impact of the self-help treatment JEu me questionne (JMQ) on gambling behavior and severity, and reports participants’ satisfaction. Method: Forty-seven at-risk and pathological gamblers entered the program that involved a self-help treatment workbook and two motivational phone interviews. Results: Among the 32 gamblers who completed the program, results indicated a significant reduction in the number of pathological gambling diagnostic criteria. This gain was maintained at the one- and six-month follow-ups. Time gambling and money spent were also significantly lower post-treatment, but only a reduction in time spent gambling was maintained at follow-up. Participants reported high satisfaction with the program. The discussion raises clinical and theoretical implications of these findings. Malgré la disponibilité des traitements pour les joueurs, peu de joueurs à risque et pathologiques entreprennent une démarche d'aide. Les traitements auto-administrés (TAA) proposent une formule individualisée et peu intrusive ayant le potentiel de rejoindre les joueurs réticents afin qu'ils demandent de l'aide. Objectifs: Cette étude examine les impacts du TAA JEu me questionne (JMQ) sur les comportements de jeu et la sévérité des problèmes de jeu et documente la satisfaction des participants. Méthode: Quarante-sept joueurs à risque et pathologiques ont débuté le programme comprenant un manuel d'autotraitement et deux rencontres téléphoniques de type motivationnel. Résultats: Parmi les 32 joueurs qui ont complété le programme, les résultats indiquent une réduction significative du nombre de critères diagnostiques du jeu pathologique. Ce gain se maintient aux suivis 1 et 6 mois. Le temps consacré au jeu et l'argent misé diminuent également lors du post-traitement, mais seule la réduction du temps passé à jouer se maintient aux suivis. Les participants rapportent un taux élevé de satisfaction envers le programme. La discussion soulève les implications cliniques et théoriques de ces résultats.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.100
GPT teacher head0.370
Teacher spread0.270 · 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