Forecasting Length of Stay in Child Residential Treatment

Autor/inn/en	Hussey, David L.; Guo, Shenyang
Titel	Forecasting Length of Stay in Child Residential Treatment
Quelle	In: Child Psychiatry and Human Development, 36 (2005) 1, S.95-111 (17 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0009-398X
DOI	10.1007/s10578-004-3490-9
Schlagwörter	Psychopathology; Mental Disorders; Alcohol Abuse; African American Children; Whites; Predictor Variables; Regression (Statistics); Rating Scales; Symptoms (Individual Disorders); Residential Programs; Individual Characteristics; Child Abuse; Age Differences + Suchen Sie Ihr Suchwort? Psychopathologie; Mental illness; Geisteskrankheit; African Americans; Child; Children; Afroamerikaner; Kind; Kinder; White; Weißer; Prädiktor; Regression; Regressionsanalyse; Rating-Skala; Psychiatrische Symptomatik; Sozialer Wohnungsbau; Personality characteristic; Personality traits; Persönlichkeitsmerkmal; Abuse of children; Abuse; Kindesmissbrauch; Missbrauch; Age; Difference; Age difference; Altersunterschied
Abstract	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. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10