E-health Unit, Research Department of Primary Care and Population Health, University College London, Royal Free Hospital, London, UK.
Addiction. 2011 Feb;106(2):267-82. doi: 10.1111/j.1360-0443.2010.03214.x. Epub 2010 Nov 18.
To determine the effects of computer-based interventions aimed at reducing alcohol consumption in adult populations.
The review was undertaken following standard Cochrane and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidance for systematic reviews. The literature was searched until December 2008, with no restrictions on language. Randomized trials with parallel comparator groups were identified in the form of published and unpublished data. Two authors independently screened abstracts and papers for inclusion. Data extraction and bias assessment was undertaken by one author and checked by a second author. Studies that measured total alcohol consumption and frequency of binge drinking episodes were eligible for inclusion in meta-analyses. A random-effects model was used to pool mean differences.
Twenty-four studies were included in the review (19 combined in meta-analyses). The meta-analyses suggested that computer-based interventions were more effective than minimally active comparator groups (e.g. assessment-only) at reducing alcohol consumed per week in student and non-student populations. However, most studies used the mean to summarize skewed data, which could be misleading in small samples. A sensitivity analysis of those studies that used suitable measures of central tendency found that there was no difference between intervention and minimally active comparator groups in alcohol consumed per week by students. Few studies investigated non-student populations or compared interventions with active comparator groups.
Computer-based interventions may reduce alcohol consumption compared with assessment-only; the conclusion remains tentative because of methodological weaknesses in the studies. Future research should consider that the distribution of alcohol consumption data is likely to be skewed and that appropriate measures of central tendency are reported.
评估针对成人饮酒问题的计算机干预措施的效果。
本研究按照 Cochrane 系统评价和 Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)系统评价标准进行。检索文献截至 2008 年 12 月,不限制语种。以已发表和未发表的数据形式,确定有平行对照的随机试验。两位作者独立筛选摘要和全文,以确定是否纳入。一位作者进行数据提取和偏倚评估,另一位作者进行核对。纳入的研究需测量总饮酒量和 binge drinking 发作频率。使用随机效应模型进行合并均数差分析。
共纳入 24 项研究(19 项合并进行 meta 分析)。meta 分析表明,计算机干预措施在减少学生和非学生人群每周饮酒量方面比最小活性对照组(如仅评估)更有效。然而,大多数研究使用均数来概括偏态数据,这在小样本中可能会产生误导。对使用合适的集中趋势测量值的研究进行敏感性分析后发现,干预组与最小活性对照组之间在学生每周饮酒量上没有差异。很少有研究涉及非学生人群,也没有比较干预组与活性对照组。
与仅评估相比,计算机干预措施可能会减少饮酒量;由于研究方法存在局限性,该结论仍有待进一步证实。未来的研究应考虑到饮酒量数据的分布可能是偏态的,并且应报告合适的集中趋势测量值。