Problems across care pathways in specialist adult eating disorder services
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Aims and Method Despite considerable knowledge of outcomes for patients who complete treatment for eating disorders, less is known about earlier stages in the treatment journey. This study aimed to map the efficiency of the anticipated patient journey along care pathways. Referrals to specialist eating disorder services ( n =1887) were tracked through the process of referral, assessment, treatment and discharge. Results The patient mortality rate was low. However, there were serious problems of attrition throughout the care pathways. of the original referrals where a meaningful conclusion could be reached, in approximately 35% the person was never seen, only half entered treatment and only a quarter reached the end of treatment. Clinical Implications This study demonstrates considerable inefficiency of resource utilisation. Suggestions are made for reducing this inefficiency, to allow more patients the opportunity of evidence-based care.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it