Family and Couple Integrated Cognitive-Behavioural Therapy for Adults with OCD: A Meta-Analysis
Bibliographic record
Abstract
Background: Integrating family into the treatment of obsessive-compulsive disorder (OCD) is standard in pediatric populations; however, in adult populations, patients are typically treated independent of their family. Yet, there is compelling evidence to suggest that family members exacerbate OCD symptoms, and thus there is a strong rationale for integrating family members into the treatment of adult OCD. The present meta-analysis examined whether family treatment is effective for OCD in adult populations as well as moderators of treatment outcome. Methods: Fifteen studies were reviewed (16 independent samples). Results: Family treatment for adult OCD was found to improve patient OCD symptoms, depression, anxiety, and functional impairment. There was also improvement in patient and family-reported general relationship satisfaction, antagonism, accommodation, and family member's mental health. Individual treatment format and targeting family accommodation were especially beneficial for improving patient depression. Family members reported greater relational improvements than patients. Fewer patient treatment sessions were associated with greater improvement in antagonism, as was female gender. Fewer sessions for family members was associated with greater improvement in family member mental health. FIT outperformed controls with individual ERP on reduction of OCD and depression symptoms, accommodation, and improvement in functional impairment. Limitations: Limitations of the present review include a relatively small sample size, lenient study inclusion criteria, and the subjectivity of some moderator categories. Conclusions: Family-integrated treatment appears to be effective for adult OCD, related symptoms, and relationship factors. There is preliminary support that family-integrated treatments lead to better outcomes than individual treatment. Clinical recommendations are discussed. Reprinted with permission from Elsevier (Appeared originally in Journal of AffectiveDisorders 2020; 277: 159–168)
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.022 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".