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The Child and Adolescent Symptom Inventory (CASI) is a behavioral rating checklist created by Kenneth Gadow and Joyce Sprafkin that evaluates a range of behaviors related to common emotional and behavioral disorders identified in the Diagnostic and Statistical Manual of Mental Disorders (DSM), including attention deficit hyperactivity disorder, oppositional defiant disorder, conduct disorder ...
Assess the patient to determine if other signs and symptoms are present: flushed face, hot, dry skin, low output, concentrated urine, anorexia, constipation, diarrhea, or vomiting. Older children may complain of sore throat, headaches, aching, and nausea, as well as, other symptoms. [17] Pulse should be checked at distal and proximal sites.
The Pediatric Symptom Checklist (PSC) is a 35-item parent-report questionnaire designed to identify children with difficulties in psychosocial functioning. Its primary purpose is to alert pediatricians at an early point about which children would benefit from further assessment. [ 1 ]
[1] [2] Patients observe these symptoms and seek medical advice from healthcare professionals. Because most people are not diagnostically trained or knowledgeable, they typically describe their symptoms in layman's terms, rather than using specific medical terminology. This list is not exhaustive.
The Child Behavior Checklist (CBCL) is a widely used caregiver report form identifying problem behavior in children. [ 1 ] [ 2 ] It is widely used in both research and clinical practice with youths. It has been translated into more than 90 languages, [ 3 ] and normative data are available integrating information from multiple societies.
Regularly wash and dry bath mats to prevent or remove dangerous mold and mildew that can accumulate. Most bath faucets and handles are just the right height for injuring little ones' heads, so it ...
In addition to being a month of self- improvement and new beginnings, January is also National Bath Safety Month. The first rule of bath time safety is supervision. in addition to always staying ...
Achenbach used machine learning and principal component analysis when developing the ASEBA in order to cluster symptoms together when forming the assessment's eight categories. This approach ignored the syndrome clusters found in the DSM-I, instead relying on patterns found in case records of children with identified psychopathologies.