Characteristics of Gamblers Using the French National Problem Gambling Helpline and Real-Time Chat Service (Preprint)

BACKGROUND: Problem gambling is a growing public health issue that is characterized by low rates of face-to-face help seeking. Helplines and real-time chat services could reduce shortfalls in treatment. OBJECTIVE: This study aimed to (1) describe the characteristics of gamblers contacting a government-funded help service, (2) study the evolution of their characteristics over time, (3) evaluate the differences between subgroups (ie, gender, media used for gambling, and media used to contact the service), and (4) explore factors influencing referral to care. METHODS: From January 2011 to December 2015, a government-funded gambling helpline and real-time chat website in France received 9474 contacts from gamblers. Counselors filled in a form for each contact, collecting demographics, gambling characteristics, and referrals. Time-series analyses were performed. Univariate logistic models were used to assess differences across subgroups. A multivariate analysis was conducted to determine the variables related to an actual referral. RESULTS: Gamblers were predominantly men (7017/9474, 74.07%); the average age was 41 years (SD 14). Compared with the men, the women were older (mean 50.7 years, SD 14.0 vs mean 37.9 years, SD 13.0, respectively; P<.001), were more often solely offline gamblers (1922/2457, 78.23% vs 4386/7017, 62.51%, respectively; P<.001), and had different gambling patterns. Compared with helpline contacts, real-time chat contacts were more often men (124/150, 82.7% vs 3643/4881, 74.64%, respectively; P=.04), younger (mean 32.8 years, SD 12.9 vs mean 41.3 years, SD 14.3, respectively; P<.001), more often poker gamblers (41/150, 27.3% vs 592/4881, 12.13%, respectively; P<.001), and more often web-based gamblers (83/150, 55.3% vs 1462/4881, 29.95%, respectively; P<.001). Referral was positively associated with betting (adjusted odds ratio [aOR] 1.46, 95% CI 1.27-1.67; P<.001), casino gambling (aOR 1.38, 95% CI 1.21-1.57; P<.001), scratch cards (aOR 1.83, 95% CI 1.58-2.12; P<.001), poker gambling (aOR 1.35, 95% CI 1.14-1.61; P<.001), lottery (aOR 1.27, 95% CI 1.03-1.56; P=.03), weekly gambling (aOR 1.73, 95% CI 1.40-2.15; P<.001), request for referral (aOR 17.76, 95% CI 14.92-21.13; P<.001), and a history of suicide attempts (aOR 2.13, 95% CI 1.51-3.02; P<.001), and it was negatively associated with web-based gambling (aOR 0.86, 95% CI 0.75-0.98; P=.030) and refusal to be referred (aOR 0.35, 95% CI 0.26-0.49; P<.001). CONCLUSIONS: The governmental helpline and chat contacts included a broad range of sociodemographic profiles. Compared with the helpline, real-time chat exchanges reached a younger population of web-based gamblers, which was the target population. The development of the gambling helpline and help online website is a considerable challenge for the future.