These categories may now serve as guiding definitions and related terminologies for further research and development in this emerging field.

Background There has been a significant increase in the availability of online programs for alcohol problems. A systematic review of the research evidence underpinning these programs is timely.Objectives Our objective was to review the efficacy of online interventions for alcohol misuse. Systematic searches of Medline, PsycINFO, Web of Science, and Scopus were conducted for English abstracts (excluding dissertations) published from 1998 onward. Search terms were: (1) Internet, Web*; (2) online, computer*; (3) alcohol*; and (4) E\effect*, trial*, random* (where * denotes a wildcard). Forward and backward searches from identified papers were also conducted. Articles were included if (1) the primary intervention was delivered and accessed via the Internet, (2) the intervention focused on moderating or stopping alcohol consumption, and (3) the study was a randomized controlled trial of an alcohol-related screen, assessment, or intervention.Results The literature search initially yielded 31 randomized controlled trials (RCTs), 17 of which met inclusion criteria. Of these 17 studies, 12 (70.6%) were conducted with university students, and 11 (64.7%) specifically focused on at-risk, heavy, or binge drinkers. Sample sizes ranged from 40 to 3216 (median 261), with 12 (70.6%) studies predominantly involving brief personalized feedback interventions. Using published data, effect sizes could be extracted from 8 of the 17 studies. In relation to alcohol units per week or month and based on 5 RCTs where a measure of alcohol units per week or month could be extracted, differential effect sizes to posttreatment ranged from 0.02 to 0.81 (mean 0.42, median 0.54). Pre-post effect sizes for brief personalized feedback interventions ranged from 0.02 to 0.81, and in 2 multi-session modularized interventions, a pre-post effect size of 0.56 was obtained in both. Pre-post differential effect sizes for peak blood alcohol concentrations (BAC) ranged from 0.22 to 0.88, with a mean effect size of 0.66.Conclusions The available evidence suggests that users can benefit from online alcohol interventions and that this approach could be particularly useful for groups less likely to access traditional alcohol-related services, such as women, young people, and at-risk users. However, caution should be exercised given the limited number of studies allowing extraction of effect sizes, the heterogeneity of outcome measures and follow-up periods, and the large proportion of student-based studies. More extensive RCTs in community samples are required to better understand the efficacy of specific online alcohol approaches, program dosage, the additive effect of telephone or face-to-face interventions, and effective strategies for their dissemination and marketing.

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This study explored whether differences exist between those who prefer using internet-based mental health services (e-preferers) in comparison to those who prefer traditional face-to-face mental health services (non epreferers). Gender, age, level of education, relationship status, location of residence, country of birth, previous use of mental health services, specific e-mental health service concerns, perceptions of helpfulness and future use of mental health services were investigated. Twohundred and eighteen Australians (female = 165, male = 53) with ages ranging from 18 to 80 (M = 36.6, SD = 14.5) accessed the online survey. Results indicated that although 77.1% of respondents preferred face-to-face services only 9.6% indicated they would not use emental health services. No differences were found between e-preferers and non e-preferers on any demographic variable and on previous mental health service usage, however, several differences regarding perceptions of helpfulness and future use of services and concerns about e-mental health services were observed. In addition, several individual difference variables (stigma, locus of control, learning styles and personality traits) were explored and found to differ between the two groups (stigma, locus of control and personality traits). These results may help inform the future direction of mental health services, including the need to increase public awareness regarding e-mental health services.

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