496 | Healio.com/Psychiatry PSYCHIATRIC ANNALS 43:11 | NOVEMBER 2013
Bibliographic record
Abstract
The health care burden of chronic disability, with mental illness and somatic symptom disorders leading the way, is crippling to global economies.1 In the recent JAMA report by the U.S. Burden of Disease Collabo-rators, the top diseases with the largest number of years lived with disability in 2010 were low back pain, major depres-sive disorder, other musculoskeletal dis-orders, neck pain, and anxiety disorders. Migraine, drug use, alcohol use and dys-thymia were also in the top 20. The au-thors noted that half of the health system cost is due to disability and morbidity.1 Based on extensive research dur-ing the past 20 years, psychotherapy is now acknowledged to be an effective and cost-effective treatment for a broad range of conditions.2 Given evidence that psychotherapy is beneficial, the relative cost of treatment has become an important consideration in clinical decision making.3 With this in mind, the shorter and less expensive a psycho-therapy model can be while retaining ef-fectiveness, the greater the effect it can have on widespread health system costs. Based on long wait lists and wait times for long-term psychotherapy in public clinics, Habib Davanloo, MD, of McGill University developed his method of intensive short-term dynamic psycho-therapy (ISTDP) between the 1970s and 2000s.4 Thus, two major reasons for this development were to improve service access and to reduce service cost per patient in publically funded Canadian medicine. ISTDP is a brief treatment designed to achieve broad-based gains across symptoms and personality difficulties. At its core, the objective of ISTDP is to help patients overcome emotional blocks that lead to occupational disabil-ity, somatic symptoms, depression, anx-iety, and self-defeating behaviors. The method includes a specialized series of interventions designed to overcome high levels of resistance, low levels of emo-tional tolerance (depression, somatiza-tion, conversion), and dissociation (frag-ile character structure). ISTDP has been
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.294 | 0.109 |
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".