We propose to continue the Brown Longitudinal Obsessive Compulsive Study (BLOCS), a unique, naturalistic, prospective study of 400 subjects whose primary reason for seeking treatment was OCD, for an additional 5 years of f/u. This will enable us to obtain a minimum of 7 years of f/u on all subjects and to incorporate new assessments and data analysis methods in order to address important unanswered questions while developing a comprehensive picture of the longitudinal course and outcome of OCD. It will provide important new and clinically relevant information about prognosis, rates of remission and relapse, predictors of remission and relapse and treatment received that will in turn have significant implications for public health policy.
Our specific aims are to (1) determine the course, stability and outcome of selected OCD phenotypes (2) collect comprehensive treatment data on the long term effects of SRIs, augmenting medications, and cognitive behavior therapy (3) to determine the patterns of course and outcome of a clinical sample of child and adolescents with OCD and compare them to a clinical sample of adults with OCD. Subjects will be evaluated at 1 year intervals with instruments that obtain detailed information on symptom status and severity, diagnostic status, treatment received, psychosocial functioning, and other domains. Since the last submission we have added new assessments that measure stressful life events, underlying mood- and anxiety-related traits, and symptom severity independent of diagnosis and functioning;we have also incorporated new data analysis methods in order to answer important questions about OCD. To have sufficient statistical power to test our hypotheses, 5 more years of prospective observation are needed. The BLOCS data set is unique in its large number of subjects, comprehensiveness of assessment, and length of prospective f/u. This proposal will allow us to more completely investigate the aims and hypotheses of the previously funded grant and to add new, previously unexplored aims and hypotheses generated by findings from BLOCS and other investigators during the past 4 years. Continuation of BLOCS is expected to shed new light on clinically and theoretically important, innovative questions about an understudied major psychiatric disorder, which have not been adequately addressed by previous research.
| Boisseau, Christina L; Sibrava, Nicholas J; Garnaat, Sarah L et al. (2018) The Brown Incompleteness Scale (BINCS): Measure development and initial evaluation. J Obsessive Compuls Relat Disord 16:66-71 |
| Schwartzman, Carly M; Boisseau, Christina L; Sibrava, Nicholas J et al. (2017) Symptom subtype and quality of life in obsessive-compulsive disorder. Psychiatry Res 249:307-310 |
| Ojserkis, Rachel; Boisseau, Christina L; Reddy, Madhavi K et al. (2017) The impact of lifetime PTSD on the seven-year course and clinical characteristics of OCD. Psychiatry Res 258:78-82 |
| Medeiros, Gustavo C; Torres, Albina R; Boisseau, Christina L et al. (2017) A cross-cultural clinical comparison between subjects with obsessive-compulsive disorder from the United States and Brazil. Psychiatry Res 254:104-111 |
| Francazio, Sarah K; Flessner, Christopher A; Boisseau, Christina L et al. (2016) Parental Accommodation Predicts Symptom Severity at Long-term Follow-Up in Children with Obsessive-Compulsive Disorder. J Child Fam Stud 25:2562-2570 |
| Sibrava, Nicholas J; Boisseau, Christina L; Eisen, Jane L et al. (2016) An empirical investigation of incompleteness in a large clinical sample of obsessive compulsive disorder. J Anxiety Disord 42:45-51 |
| Grant, Jon E; Mancebo, Maria C; Mooney, Marc E et al. (2015) Longitudinal course of body-focused repetitive behaviors in obsessive-compulsive disorder. Ann Clin Psychiatry 27:185-91 |
| Garnaat, Sarah L; Boisseau, Christina L; Yip, Agustin et al. (2015) Predicting course of illness in patients with severe obsessive-compulsive disorder. J Clin Psychiatry 76:e1605-10 |
| Askland, Kathleen D; Garnaat, Sarah; Sibrava, Nicholas J et al. (2015) Prediction of remission in obsessive compulsive disorder using a novel machine learning strategy. Int J Methods Psychiatr Res 24:156-69 |
| Garnaat, Sarah L; Greenberg, Benjamin D; Sibrava, Nicholas J et al. (2014) Who qualifies for deep brain stimulation for OCD? Data from a naturalistic clinical sample. J Neuropsychiatry Clin Neurosci 26:81-6 |
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