Mohammad S. I. Mullick

TL;DR: The computerised algorithm developed to predict child psychiatric diagnoses on the basis of the symptom and impact scores derived from Strengths and Difficulties Questionnaires is sufficiently accurate and robust to be of practical value in planning the assessment of new referrals to a child mental health service.

TL;DR: Predictions based on multi-informant SDQs potentially provide a cheap and easy method for detecting children in the developing world with significant mental health problems, and should be evaluated on a broad range of children.

TL;DR: The relationship between SDQ caseness indicators and disorder rates varies substantially between populations: cross-national differences in SDQ indicators do not necessarily reflect comparable differences in disorder rates.

TL;DR: Significantly higher stressors, perceived difficulties, distress, social impairment, and burden for caregivers were reported in the JIA group with psychiatric morbidity, suggesting early psychiatric intervention might increase the likelihood of satisfactory outcome of treatment in JIA.

TL;DR: It is concluded that behavioral and emotional disorders are highly prevalent among orphan children and adolescents with residential care that needs to be addressed and measure for early identification and intervention will improve the quality of life of the orphan population.