Effectiveness of intensive treatment services for obsessive compulsive disorder: outcomes from the first Canadian residential treatment program
Bibliographic record
Abstract
Background: Obsessive–Compulsive Disorder (OCD) is a psychiatric illness that can result in debilitating symptoms and functional impairment. Until recently, individuals with severe OCD symptoms have not received appropriate services within the Canadian healthcare system. The Frederick W. Thompson Anxiety Disorders Centre launched an Intensive Services Residential treatment programme for OCD in July 2017 to meet the needs of the Canadian population. This paper sets out to demonstrate the effectiveness of this programme.Methods: This study incorporated quantitative and qualitative data collection. Quantitative data were analysed using paired sample t-tests while qualitative data was transcribed and coded for emerging themes.Results: Beneficial changes in symptomatology were found. Client narrative emphasised the importance of exposure response prevention (ERP), creation of an OCD community as well as enhanced functionality in clients’ lives. Clients also commented on why they believed the treatment worked and points of potential improvement for discharge planning and programme organisation.Conclusions: This study adds to the growing body of evidence regarding the importance of intensive services for individuals experiencing severe symptoms of OCD. Enhancing accessibility to services and ensuring ongoing maintenance of gains will be important next steps in ensuring long-term recovery for individuals with severe symptoms of OCD.Key pointsIntensive services treatment for OCD has been found to be beneficial for clients and this paper demonstrates the first time this has been seen within a Canadian programme.Treatment provided decreased OCD severity and increased functionality and quality of life.Clients cited exposure and response prevention work as a key ingredient in their recovery.Our programme is always in an ongoing state of quality improvement, ensuring client engagement and satisfaction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".