{"id":{"repo_id":"loma-linda","oai_identifier":"oai:scholarsrepository.llu.edu:etd-1271"},"canonical_url":"https://search.dev.ndltd.org/etd/loma-linda/oai:scholarsrepository.llu.edu:etd-1271","repository":{"repo_id":"loma-linda","name":"Loma Linda University","base_url":"https://scholarsrepository.llu.edu/do/oai/"},"display":{"title":"Use of Multi-Informants in Predicting Adolescent Treatment Dropout","abstract":"<p>High rates of dropout are common among adolescents in therapy making efforts to reduce adolescent psychopathology and behavioral problems challenging. The present study examined archival data from multiple informants who enrolled in a 16-week intensive outpatient treatment program for self-harming youth. The purpose of this study was to assess potential predictors of treatment dropout. Preliminary analysis indicated that adolescents who dropped out of treatment did not make clinically significant improvements when compared with adolescents who completed the program. This supports the need to retain adolescents in treatment for a complete course of treatment. The study also found that for the most part youth and parent YOQ subscale scores at pretreatment failed to identify reasons for discharge (graduate versus dropout). The sole predictor of dropout was adolescent reported intrapersonal distress assessed at pre-treatment. Specifically, results indicated that adolescents reporting lower degrees of intrapersonal distress at pretreatment were more at risk of dropping out of the program than their peers. By identifying predictors of dropout, clinicians can modify treatment and hopefully reduce dropout rates and improve outcomes for participants in the SHIELD program.</p>","abstract_html":"&lt;p&gt;High rates of dropout are common among adolescents in therapy making efforts to reduce adolescent psychopathology and behavioral problems challenging. The present study examined archival data from multiple informants who enrolled in a 16-week intensive outpatient treatment program for self-harming youth. The purpose of this study was to assess potential predictors of treatment dropout. Preliminary analysis indicated that adolescents who dropped out of treatment did not make clinically significant improvements when compared with adolescents who completed the program. This supports the need to retain adolescents in treatment for a complete course of treatment. The study also found that for the most part youth and parent YOQ subscale scores at pretreatment failed to identify reasons for discharge (graduate versus dropout). The sole predictor of dropout was adolescent reported intrapersonal distress assessed at pre-treatment. Specifically, results indicated that adolescents reporting lower degrees of intrapersonal distress at pretreatment were more at risk of dropping out of the program than their peers. By identifying predictors of dropout, clinicians can modify treatment and hopefully reduce dropout rates and improve outcomes for participants in the SHIELD program.&lt;/p&gt;","abstract_has_math":false,"creators":["Mitchell, David A."],"institution":null,"degree_name":"Doctor of Psychology (PsyD)","degree_level":"Doctoral Project","degree_discipline":"Psychology","degree_department":null,"school":null,"contributors":["Freeman, Kimberly","Arechiga, Adam L."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-06-01T07:00:00Z","date_published":"2015-06-01T07:00:00Z","updated_at":"2026-07-24T02:52:27Z","subjects":["Child Psychology","Psychology","Social and Behavioral Sciences","Adolescent Behavior; Behavior Therapy; Attitude to Health; Patient Acceptance of Health Care; Patient Compliance; Patient Dropouts; Patient Outcome Assessment; Parent-Child Relations; Psychotherapy - in Adolescence","Adolescent Psychopathology; Informants; Outpatient Treatment Programs; Self-harming Youth; Predictors of Treatment Dropout; Intrapersonal Distress"],"languages":["English"],"rights":["This title appears here courtesy of the author, who has granted Loma Linda University a limited, non-exclusive right to make this publication available to the public. 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The study also found that for the most part youth and parent YOQ subscale scores at pretreatment failed to identify reasons for discharge (graduate versus dropout). The sole predictor of dropout was adolescent reported intrapersonal distress assessed at pre-treatment. Specifically, results indicated that adolescents reporting lower degrees of intrapersonal distress at pretreatment were more at risk of dropping out of the program than their peers. By identifying predictors of dropout, clinicians can modify treatment and hopefully reduce dropout rates and improve outcomes for participants in the SHIELD program.</p>"]},{"key":"dc:title","label":"Title","values":["Use of Multi-Informants in Predicting Adolescent Treatment Dropout"]}]}],"canonical_facts":{"dc:contributor":["Freeman, Kimberly","Arechiga, Adam L."],"dc:creator":["Mitchell, David A."],"dc:description.abstract":["<p>High rates of dropout are common among adolescents in therapy making efforts to reduce adolescent psychopathology and behavioral problems challenging. The present study examined archival data from multiple informants who enrolled in a 16-week intensive outpatient treatment program for self-harming youth. The purpose of this study was to assess potential predictors of treatment dropout. Preliminary analysis indicated that adolescents who dropped out of treatment did not make clinically significant improvements when compared with adolescents who completed the program. This supports the need to retain adolescents in treatment for a complete course of treatment. The study also found that for the most part youth and parent YOQ subscale scores at pretreatment failed to identify reasons for discharge (graduate versus dropout). The sole predictor of dropout was adolescent reported intrapersonal distress assessed at pre-treatment. Specifically, results indicated that adolescents reporting lower degrees of intrapersonal distress at pretreatment were more at risk of dropping out of the program than their peers. 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