Department of Community Health Sciences, Boston University School of Public Health, Boston, MA 02118, USA.
Drug Alcohol Rev. 2010 Sep;29(5):498-507. doi: 10.1111/j.1465-3362.2010.00174.x.
Reductions in control group consumption over time that are possibly related to research design affect the impact of brief alcohol interventions (BAI) in clinical settings.
We conducted a systematic review to identify research design factors that may contribute to control group change, strategies to limit these effects and implications for researchers. Studies with control group n > 30 were selected if they published baseline and outcome consumption data, conducted trials in clinical settings in Anglophone countries and did not censor gender or age.
Among 38 studies cited in 20 reviews through October 2009, 16 met criteria (n = 31-370). In 54%, controls received alcohol specific handouts, advice and/or referral. Both the number and depth of assessments were highly variable. The percentage change in consumption ranged from-0.10 to-0.84 (mean-0.32), and effect size from 0.04 to 0.70 (mean 0.37). Published data were insufficient for meta-analysis.
Researchers should consider strategies to reduce the impact of research design factors, such as procedures to enhance sample diversity, blind subjects to study purpose to limit social desirability bias, reduce the number and depth of instruments (assessment reactivity), and finally, analytic techniques to decrease the impact of outliers and regression to the mean.
This review identifies problems with retrospective analysis of predictors of control group change, and underscores the need to design prospective studies to permit identification, quantification and adjustment for potential sources of bias in BAI trials.
随着时间的推移,对照组的消费减少,这可能与研究设计有关,从而影响临床环境中简短酒精干预(BAI)的效果。
我们进行了系统综述,以确定可能导致对照组变化的研究设计因素、限制这些影响的策略以及对研究人员的影响。如果研究具有大于 30 人的对照组,且发表了基线和结果消费数据、在英语国家的临床环境中进行了试验,并且没有审查性别或年龄,则选择这些研究。
在 2009 年 10 月之前的 20 项综述中引用的 38 项研究中,有 16 项符合标准(n=31-370)。在 54%的研究中,对照组接受了酒精特定的讲义、建议和/或转介。评估的数量和深度都非常多变。消费的百分比变化范围从-0.10 到-0.84(平均值-0.32),效应大小从 0.04 到 0.70(平均值 0.37)。发表的数据不足以进行荟萃分析。
研究人员应考虑采取策略来减少研究设计因素的影响,例如增强样本多样性的程序、使研究目的对受试者保密以限制社会期望偏差、减少仪器的数量和深度(评估反应性),以及最后,采用分析技术减少离群值的影响和回归均值的影响。
本综述确定了对对照组变化预测因素进行回顾性分析的问题,并强调需要设计前瞻性研究,以允许在 BAI 试验中识别、量化和调整潜在的偏倚来源。