Beadnell Blair, Stafford Pamela A, Crisafulli Michele A, Casey Erin A, Rosengren David B
Prevention Research Institute, Lexington, KY, USA
Prevention Research Institute, Lexington, KY, USA.
Eval Health Prof. 2016 Dec;39(4):435-459. doi: 10.1177/0163278715622663. Epub 2016 Feb 14.
Assessing the practical or clinical significance (CS) of an intervention program's outcomes is useful in determining its effectiveness. The CS approach gives information beyond traditional analyses by quantifying the proportions of people who meaningfully improve and deteriorate. We link latent transition analyses (LTA) to the CS literature and use a case study to contrast it with the long-standing Jacobson and Truax (JT) approach. Data came from 2,717 individuals convicted of a substance-related offense who participated in an indicated prevention program Prime For Life (PFL). We selected outcomes describing drinking beliefs and behavior. Both CS approaches categorized a majority of participants as improved (i.e., transitioning from baseline subgroups with risky behaviors and cognitions into posttest subgroups showing lower risk). Results demonstrate how the JT approach allows the assessment of improvements on individual outcomes, while the LTA provides more nuanced information about risk groupings. Selecting a CS approach depends on research goals, availability of normative data, and data considerations. JT is an appropriate method when evaluating single outcomes. In contrast, LTA is better when a multivariate description is desired, advanced missing data handling methods are needed, or outcomes are not normally distributed. Although infrequently done, evaluating CS provides useful information about program effectiveness.
评估干预项目结果的实际或临床意义(CS)有助于确定其有效性。CS方法通过量化有意义改善和恶化的人群比例,提供了超越传统分析的信息。我们将潜在转变分析(LTA)与CS文献联系起来,并通过一个案例研究将其与长期存在的雅各布森和特鲁克斯(JT)方法进行对比。数据来自2717名因与毒品相关犯罪而被定罪并参加了一项预防项目“生命之基”(PFL)的个体。我们选择了描述饮酒信念和行为的结果。两种CS方法都将大多数参与者归类为有所改善(即从具有危险行为和认知的基线亚组转变为测试后显示较低风险的亚组)。结果表明,JT方法允许评估个体结果的改善情况,而LTA提供了关于风险分组的更细致信息。选择CS方法取决于研究目标、规范数据的可用性以及数据考量。在评估单一结果时,JT是一种合适的方法。相比之下,当需要多变量描述、需要先进的缺失数据处理方法或结果不是正态分布时,LTA更好。尽管很少这样做,但评估CS能提供有关项目有效性的有用信息。