Kuo Elena S, Vander Stoep Ann, Herting Jerald R, Grupp Katherine, McCauley Elizabeth
Group Health Research Institute, Seattle, WA.
J Child Adolesc Psychiatr Nurs. 2013 Feb;26(1):42-52. doi: 10.1111/jcap.12010. Epub 2012 Oct 24.
Early identification and intervention are critical for reducing the adverse effects of depression on academic and occupational performance. Cost-effective approaches are needed for identifying adolescents at high depression risk. This study evaluated the utility of school record review versus universal school-based depression screening for determining eligibility for an indicated depression intervention program implemented in the middle school setting.
Algorithms derived from grades, attendance, suspensions, and basic demographic information were evaluated with regard to their ability to predict students' depression screening scores.
The school information-based algorithms proved poor proxies for individual students' depression screening results. However, school records showed promise for identifying low, medium, and high-yield subgroups on the basis of which efficient screening targeting decisions could be made.
Study results will help to guide school nurses who coordinate indicated depression intervention programs in school settings as they evaluate options of approaches for determining which students are eligible for participation.
早期识别和干预对于减少抑郁症对学业和职业表现的不利影响至关重要。需要具有成本效益的方法来识别高抑郁症风险的青少年。本研究评估了学校记录审查与基于学校的普遍抑郁症筛查在确定中学实施的特定抑郁症干预项目资格方面的效用。
对从成绩、出勤、停学和基本人口统计学信息得出的算法进行评估,以确定其预测学生抑郁症筛查分数的能力。
基于学校信息的算法被证明不能很好地代表个别学生的抑郁症筛查结果。然而,学校记录显示有望识别出低、中、高产出亚组,据此可以做出有效的筛查目标决策。
研究结果将有助于指导在学校环境中协调特定抑郁症干预项目的学校护士评估确定哪些学生有资格参与的方法选项。