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1.
Early Interv Psychiatry ; 15(3): 697-704, 2021 06.
Article in English | MEDLINE | ID: mdl-32583602

ABSTRACT

OBJECTIVE: Cognitive behavioural therapy (CBT) has demonstrated efficacy for treating of psychotic symptoms and is recommended as an evidence-based practice (EBP) in early psychosis services. Despite this recommendation, there is limited information about the feasibility of training community clinicians, working in an early psychosis service, to competence in the delivery of this intervention. METHOD: Fifty clinicians working in an early psychosis service across five programs in Northern California were trained in CBT for psychosis (CBTp) between 2010 and 2014. Following the training, clinicians attended weekly group consultation and submitted taped sessions for review. Tapes were rated for competency using the Cognitive Therapy Scale-Revised (CTS-R). Clinicians who achieved competence were engaged in a train-the-trainer model to support ongoing sustainability of the training program. RESULTS: Data from 40 clinicians were reviewed for achievement of competence. Over the training period 18 clinicians achieved competence while 20 clinicians left the service before achieving competence and 12 were still in the process of achieving competence at the point of data analysis. It took on average 54 weeks (range 17-130 weeks) and an average of six tape reviews (range 3-18) to train clinicians to competency. CONCLUSIONS: Community clinicians working in an early psychosis program can be trained to competence in CBTp following an initial didactic period and ongoing weekly group consultation, although staff turnover hindered implementation. Challenges and opportunities for future implementation in community sites are presented in the context of further expansion of early psychosis services in the United States.


Subject(s)
Cognitive Behavioral Therapy , Psychotic Disorders , Evidence-Based Practice , Feasibility Studies , Humans , Psychotic Disorders/diagnosis , Psychotic Disorders/therapy , Referral and Consultation
2.
Early Interv Psychiatry ; 13(3): 488-494, 2019 06.
Article in English | MEDLINE | ID: mdl-29076244

ABSTRACT

AIM: In order to strengthen specialized early intervention in psychosis (EIP) services, a contextually nuanced understanding of psychosocial forces driving suboptimal treatment response is critical. This study sought to examine factors driving poor outcomes through a systematic emic coding of psychosocial assessments for discharged EIP clients categorized as leaving with all treatment goals met (AG) or no treatment goals met (NG). METHODS: Psychosocial assessments at baseline, 1 year, 2 years and discharge were extracted from an EIP research registry and systematically coded. One hundred and thirty clients met the study's inclusion criteria (72 NG, 58 AG) from a larger pool of 278. Assessments were coded, quantized and analysed using a combination of basic inferential statistics and thematic analysis. RESULTS: Structural adversity, individual trauma, history of aggression/violence, limited insight and long treatment histories prior to EIP, were strong and significant predictors of poor client outcomes (NG), while motivation for treatment, college goals or preparedness at baseline, baseline engagement in constructive activities, social strengths, individual strengths, talents and family support strongly predicted better outcomes (AG). Race/ethnicity also significantly predicted outcome group. Analyses underscore the powerful impact of multiple converging forms of structural disadvantage, on the one hand, and individual, family and social strengths and supports on the other, in shaping clients' response to EIP treatment. CONCLUSIONS: Findings emphasize the importance of greater empirical attention to background structural and socio-economic conditions among early psychosis clients and their multifaceted impacts and underscore the potential value of programmatic components explicitly designed to support clients from multiply disadvantaged backgrounds.


Subject(s)
Early Medical Intervention/statistics & numerical data , Mental Health Services/statistics & numerical data , Psychotic Disorders/psychology , Treatment Outcome , Adult , Ethnicity , Female , Humans , Male , Patient Discharge , Risk Factors , Socioeconomic Factors
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