Screening foster children for mental disorders: properties of the strengths and difficulties questionnaire

• Published in: PloS one Vol. 9; no. 7; p. e102134
• Main Authors: Lehmann, Stine, Heiervang, Einar R, Havik, Toril, Havik, Odd E
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 09-07-2014; Public Library of Science (PLoS)
• Subjects: Adolescent; Algorithms; Analysis; Balances (scales); Behavior disorders; Biology and Life Sciences; Child; Child & adolescent psychiatry; Child health; Child welfare; Child, Preschool; Childhood mental disorders; Children; Clinical psychology; Comorbidity; Diagnostic systems; Diagnostic tests; Families & family life; Female; Foster carers; Foster children; Foster Home Care; Health problems; Health Surveys; Humans; Male; Mass Screening - methods; Measures; Medical screening; Medicine; Medicine and Health Sciences; Mental disorders; Mental health; Neurodevelopmental Disorders - diagnosis; Neurodevelopmental Disorders - epidemiology; Norway - epidemiology; Parents; Properties (attributes); Psychiatric Status Rating Scales; Psychopathology; Quantitative psychology; Questionnaires; Regression analysis; ROC Curve; Sensitivity; Studies; Surveys; Teachers; Teaching methods; Teenagers; Tests; Well being; Norway; United Kingdom > UK
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0102134

High prevalence of mental disorders among foster children highlight the need to examine the mental health of children placed out of home. We examined the properties of the Strengths and Difficulties Questionnaire (SDQ) in screening school-aged foster children for mental disorders.
Foster parents and teachers of 279 foster children completed the SDQ and the diagnostic interview Developmental and Well-Being Assessment (DAWBA). Using the diagnoses derived from the DAWBA as the standard, we examined the performance of the SDQ scales as dimensional measures of mental health problems using receiver operating characteristic (ROC) analyses. Recommended cut-off scores were derived from ROC coordinates. The SDQ predictive algorithms were also examined.
ROC analyses supported the screening properties of the SDQ Total difficulties and Impact scores (AUC = 0.80-0.83). Logistic regression analyses showed that the prevalence of mental disorders increased linearly with higher SDQ Total difficulties scores (X2 = 121.47, df = 13, p<.001) and Impact scores (X2 = 69.93, df = 6, p<.001). Our results indicated that there is an additive value of combining the scores from the Total difficulties and Impact scales, where scores above cut-off on any of the two scales predicted disorders with high sensitivity (89.1%), but moderate specificity (62.1%). Scores above cut-off on both scales yielded somewhat lower sensitivity (73.4%), but higher specificity (81.1%). The SDQ multi-informant algorithm showed low discriminative ability for the main diagnostic categories, with an exception being the SDQ Conduct subscale, which accurately predicted the absence of behavioural disorders (LHR- = 0.00).
The results support the use of the SDQ Total difficulties and Impact scales when screening foster children for mental health problems. Cut-off values for both scales are suggested. The SDQ multi-informant algorithms are not recommended for mental health screening of foster children in Norway.