title: An algorithm for determining use of trauma-focused cognitive-behavioral therapy.
abstract: The shift toward dissemination of evidence-based practices has led to many questions about who is appropriate for a particular treatment model, particularly with complex clients, in diverse community settings, and when multiple evidence-based models have overlapping target populations. Few research-based tools exist to facilitate these clinical decisions. The research on trauma-focused cognitive-behavioral therapy (TF-CBT), an evidence-based treatment for children suffering from posttraumatic stress reactions, is reviewed to inform development of an algorithm to assist clinicians in determining whether a particular client is appropriate for TF-CBT. Recommendations are made for future research that will facilitate matching TF-CBT and other evidence-based practices to particular child clients.
authors.affiliation: Department of Psychiatry, University of Connecticut Health Center, West Hartford, CT 06119, USA. jalang@uchc.edu
authors.forename: Jason M
authors.initials: JM
authors.lastname: Lang
authors.forename: Julian D
authors.initials: JD
authors.lastname: Ford
authors.forename: Monica M
authors.initials: MM
authors.lastname: Fitzgerald
mesh_terms: D000465:Algorithms; D002648:Child; D002650:Child Abuse, Sexual / Q000523:psychology / Q000628:therapy; D002675:Child, Preschool; D015928:Cognitive Behavioral Therapy / Q000379:methods*; D017579:Domestic Violence / Q000523:psychology; D019317:Evidence-Based Medicine; D006801:Humans; D007389:Internal-External Control; D008016:Life Change Events; D012944:Social Support; D013313:Stress Disorders, Post-Traumatic / Q000175:diagnosis / Q000523:psychology / Q000628:therapy*; D016896:Treatment Outcome