To prevent risks associated with online gambling, many jurisdictions propose self-exclusion strategies as a part of a responsible gambling policy. To protect online gamblers, French law provides for a 7-day temporary non-reducible and voluntary self-exclusion measure that applies only to select websites. The objective of our study was to evaluate the effectiveness of this self-exclusion measure for at-risk online gamblers. It was an experimental randomized controlled trial targeted at risk prevention. The main outcomes were the money wagered and time spent gambling assessed 15 days (short-term) and 2 months (medium-term) after the implementation of the self-exclusion measure. The effectiveness of self-exclusion was also compared according to the gambling type (pure chance games, such as lottery or scratch tickets, skill and chance bank games such as sports betting or horserace betting, and skill and chance games such as poker). Sixty participants were randomly assigned to the experimental condition (n = 30; with the implementation of a self-exclusion measure) or control condition (n = 30). The randomization was stratified according to their favorite game [pure chance games (n = 20), skill and chance bank games (n = 20), and skill and chance social games (n = 20)]. The results revealed that self-exclusion had no short-term impact-but did have a medium-term impact-on gambling habits. After 2 months, the gambling-related cognitions ("illusion of control" and "the perceived inability to stop gambling") and the subscale "desire" of the Gambling Craving Scale (GACS) have decreased. Participants' opinions about the impact and effectiveness of self-exclusion were discussed. To conclude, it appeared that temporary self-exclusion is an interesting tool to protect online gamblers from excessive practices, but several modifications have to be made to improve its effectiveness and use.

The partial credit and rating scale models are classical models from item response theory; they belong to the generalized linear latent and mixed model family and allow one to analyze questionnaires such as patient-reported outcomes. Few goodness-of-fit testing procedures have been proposed for such models, and few computer programs implement such tests. Here we describe two tests: the R1m test (which tests the overall adequacy of the model to the data) and the Si test (which evaluates the contribution of each item to a possible lack of fit). We also propose two commands: pcmodel, which implements partial credit or rating scale models, and pcmtest, which tests the adequacy of such models to the data.

Purpose of Review The aim of this article was to review current research regarding social cognition (SC) in gambling disorder (GD), to (i) compile and synthetize the current state of existing literature on this topic, and (ii) propose cognitive remediation therapy approaches focused on SC for clinicians. Recent Findings It is well known that disordered gamblers show impairment regarding non-social cognitive functions such as inhibition, attention, and decision-making. Furthermore, patients with substance use disorders also present certain deficits regarding social information processing which are difficult to differentiate from the intrinsic toxic effects linked to drugs or alcohol consumption. Summary To date, relatively little research has been undertaken to explore SC in gambling disorder (GD) with neuropsychological tasks. Preliminary results suggest impaired non-verbal emotion processing, but only one study has directly measured SC in GD. As a consequence, future research on this framework should propose diverse measures of SC, while controlling for other factors such as personality traits and subtypes of disordered gamblers.