Effects and Limitations of a Unique, Nationwide, Self-Exclusion Service for Gambling Disorder and Its Self-Perceived Effects and Harms in Gamblers: Protocol for a Qualitative Interview Study
Notice bibliographique
Résumé
BACKGROUND: Voluntary self-exclusion from gambling is a common but underdeveloped harm reduction tool in the management of gambling problems or gambling disorders. Large-scale, multi-operator, and operator-independent self-exclusion services are needed. A recent nationwide multi-operator self-exclusion service in Sweden (Spelpaus), involving both land- and web-based gambling sites, is promising, but recent data have revealed limitations to this system and possibilities to breach one's self-exclusion through overseas web-based gambling. More knowledge is needed about the benefits and challenges of such an extensive self-exclusion service, and its effects as perceived by gamblers. OBJECTIVE: This study protocol describes the rationale and design of a qualitative interview study addressing the effects and limitations perceived by individuals with gambling problems and their concerned significant others. The study aims to provide an in-depth experience of this novel self-exclusion service and to inform stakeholders and policymakers in order to further improve harm reduction tools against gambling problems. METHODS: Individuals with gambling problems will be recruited primarily through social media and also from a treatment unit, if needed, for a qualitative interview study. Recorded interview material will be analyzed through content analysis, and recruitment will continue until saturation in the material is reached. This study will provide in-depth information about a harm reduction tool that is promising and commonly used, but which has proven to be breached by a significant number of users, potentially limiting its efficiency. The aim is to interview a sufficient number of gamblers until saturation has been obtained in the interview material. Saturation will be considered through a continuous analysis, comparing recently collected data to previously collected data. RESULTS: Results will be reported as the themes and subthemes identified after the thorough analysis and coding of the transcribed text material and will be accompanied by citations representing relevant themes and subthemes. Results are planned to be provided before the end of 2023. CONCLUSIONS: This study will likely provide new insights into user perspectives on a multi-operator self-exclusion service that involves both web- and land-based gambling operators, and which according to previous literature attracts many gamblers but also appears to have limitations and challenges in the target group of individuals with gambling problems. Policy and legislation implications, as well as clinical implications for treatment providers, will be discussed. Results and conclusions will be disseminated to policy makers in Sweden and internationally, as well as to peer organizations, treatment providers, and the research community. TRIAL REGISTRATION: ClinicalTrials.gov NCT05693155; https://clinicaltrials.gov/study/NCT05693155. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/47528.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,068 | 0,053 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,007 | 0,005 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,004 | 0,005 |
| Intégrité de la recherche | 0,004 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,023 | 0,004 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».