TY - JOUR AU - White, Angela AU - Kavanagh, David AU - Stallman, Helen AU - Klein, Britt AU - Kay-Lambkin, Frances AU - Proudfoot, Judy AU - Drennan, Judy AU - Connor, Jason AU - Baker, Amanda AU - Hines, Emily AU - Young, Ross PY - 2010 DA - 2010/12/19 TI -在线酒精干预:JO - J Med Internet Res SP - e62 VL - 12 IS - 5kw -酒精KW -药物KW -互联网KW -身体健康KW -网站互动KW -在线治疗KW -在线信息AB -背景:针对酒精问题的在线程序的可用性显著增加。对支持这些项目的研究证据进行系统的审查是及时的。目的:我们的目的是审查在线干预酒精滥用的有效性。系统检索了Medline、psyinfo、Web of Science和Scopus网站上1998年以后发表的英文摘要(不包括论文)。搜索词有:(1)Internet、Web*;(2)在线,电脑*;(3)酒精*;(4) E\effect*， trial*， random*(其中*表示通配符)。从已识别的论文中向前和向后搜索也进行了。 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. SN - 1438-8871 UR - //www.mybigtv.com/2010/5/e62/ UR - https://doi.org/10.2196/jmir.1479 UR - http://www.ncbi.nlm.nih.gov/pubmed/21169175 DO - 10.2196/jmir.1479 ID - info:doi/10.2196/jmir.1479 ER -