Assessing Comorbidity, Insight, Family, and Functioning
Bibliographic record
Abstract
Abstract Obsessive-compulsive disorder (OCD) is a complex and debilitating disorder that has a high degree of comorbidity with mood and anxiety disorders. Strategies for differential diagnosis of OCD and these disorders, as well as the interactions of the diagnoses in treatment settings, are discussed. The chapter also explores the relationships between OCD and personality disorders, as well as between OCD and the OCD-related disorders. OCD is also characterized by impaired quality of life, family involvement, and varying insight. The presence of OCD is associated with high levels of functional impairment, especially in the social and emotional domains. Relationships with important others can be affected by the disorder. Family members are often involved in OCD symptoms, and family variables like symptom accommodation and hostility are related to poorer treatment outcomes. Treatment outcomes can also be influenced by level of insight held by the individual with OCD; those with poor insight into the irrationality of their symptoms often face challenges with treatment engagement. The chapter aims to provide a brief overview of comorbidity, family, insight, and quality-of-life issues and to review assessment and treatment implications of those issues. Measures for assessing relevant constructs are described.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".