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Détail de l'auteur
Auteur John S. LYONS |
Documents disponibles écrits par cet auteur (1)
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Evaluating Psychiatric Hospital Admission Decisions for Children in Foster Care: An Optimal Classification Tree Analysis / Jessica A. SNOWDEN in Journal of Clinical Child & Adolescent Psychology, 36-1 (January-March 2007)
[article]
Titre : Evaluating Psychiatric Hospital Admission Decisions for Children in Foster Care: An Optimal Classification Tree Analysis Type de document : Texte imprimé et/ou numérique Auteurs : Jessica A. SNOWDEN, Auteur ; Scott C. LEON, Auteur ; Fred B. BRYANT, Auteur ; John S. LYONS, Auteur Année de publication : 2007 Article en page(s) : p.8-18 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : This study explored clinical and nonclinical predictors of inpatient hospital admission decisions across a sample of children in foster care over 4 years (N = 13,245). Forty-eight percent of participants were female and the mean age was 13.4 (SD = 3.5 years). Optimal data analysis (Yarnold & Soltysik, 2005) was used to construct a nonlinear classification tree model for predicting admission decisions. As expected, clinical variables such as suicidality, psychoticism, and dangerousness predicted psychiatric admissions; however, several variables that are not direct indications of acute psychiatric distress, such as the presence of family problems and the location of the hospital screening, impacted decision making in a subsample of cases. Further analyses indicated that the model developed in Year 1 reliably and consistently predicted admission decisions (with 64%–68% overall accuracy) across the next 3 years. Policy, research, and clinical implications are discussed. En ligne : http://dx.doi.org/10.1080/15374410709336564 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=135
in Journal of Clinical Child & Adolescent Psychology > 36-1 (January-March 2007) . - p.8-18[article] Evaluating Psychiatric Hospital Admission Decisions for Children in Foster Care: An Optimal Classification Tree Analysis [Texte imprimé et/ou numérique] / Jessica A. SNOWDEN, Auteur ; Scott C. LEON, Auteur ; Fred B. BRYANT, Auteur ; John S. LYONS, Auteur . - 2007 . - p.8-18.
Langues : Anglais (eng)
in Journal of Clinical Child & Adolescent Psychology > 36-1 (January-March 2007) . - p.8-18
Index. décimale : PER Périodiques Résumé : This study explored clinical and nonclinical predictors of inpatient hospital admission decisions across a sample of children in foster care over 4 years (N = 13,245). Forty-eight percent of participants were female and the mean age was 13.4 (SD = 3.5 years). Optimal data analysis (Yarnold & Soltysik, 2005) was used to construct a nonlinear classification tree model for predicting admission decisions. As expected, clinical variables such as suicidality, psychoticism, and dangerousness predicted psychiatric admissions; however, several variables that are not direct indications of acute psychiatric distress, such as the presence of family problems and the location of the hospital screening, impacted decision making in a subsample of cases. Further analyses indicated that the model developed in Year 1 reliably and consistently predicted admission decisions (with 64%–68% overall accuracy) across the next 3 years. Policy, research, and clinical implications are discussed. En ligne : http://dx.doi.org/10.1080/15374410709336564 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=135