[article]
| Titre : |
Evaluating Psychiatric Hospital Admission Decisions for Children in Foster Care: An Optimal Classification Tree Analysis |
| Type de document : |
texte imprimé |
| 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] / 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 |
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