Forecasting length of stay in child residential treatment

被引：28

作者：

Hussey, David L. ^{[1
,2
,3
]}

Guo, Shenyang ^{[4
]}

机构：

[1] Kent State Univ, Dept Justice Studies, Kent, OH 44242 USA

[2] Kent State Univ, Fac Associate, Inst Study & Prevent Violence, Kent, OH 44242 USA

[3] Beech Brook, Res & Evaluat, Cleveland, OH USA

[4] Univ N Carolina, Sch Social Work, Chapel Hill, NC 27515 USA

来源：

CHILD PSYCHIATRY & HUMAN DEVELOPMENT | 2005年 / 36卷 / 01期

关键词：

residential treatment; length of stay; LOS; prediction; preadolescents; cost containment; utilization management;

D O I：

10.1007/s10578-004-3490-9

中图分类号：

B844 [发展心理学（人类心理学）];

学科分类号：

040202 ;

摘要：

A sample of 126 consecutively admitted residential treatment children (mean age = 9.86, SD = 1.84; 70.6% male; 42.1% African American; 50% Caucasian) were studied over a five-year period to identify predictors of length-of-stay. Cox regression was the primary statistical method used to analyze psychiatric and behavioral rating data for children assessed by teachers and treatment staff using the Devereux Scales of Mental Disorders (DSMD). Parental alcohol abuse, and children's age, medication status, race, initial DSMD total and critical pathology scores, were predictive of length-of-stay. Residential length-of-stay was strongly linked to initial levels of psychiatric symptomatology. Models that can help forecast length of stay are vital tools in helping to improve both clinical and utilization management strategies.

引用

页码：95 / 111

页数：17

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