Premature termination of treatment in an inpatient eating disorder programme
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
This retrospective study was conducted to explore rates, timing and predictors of two forms of premature termination of treatment (PTT) in an inpatient eating disorders programme: patient dropout (DO) and administrative discharge (AD). A chart review was conducted to obtain demographic, Eating Disorder Inventory-2 (EDI-2), and Resident Assessment Instrument-Mental Health (RAI-MH) data for 186 patients being treated for bulimia nervosa (BN), anorexia nervosa (AN), or eating disorder not otherwise specified (EDNOS). Overall, of the 37.6% of patients who terminated treatment prematurely, 22.1% of patients dropped out, and 15.5% of patients were administratively discharged. Time at which discharge occurred was found to be associated with the type of premature termination. The presence of DSM-IV Axis-I comorbidity was found to be the only factor associated with an increased risk of being administratively discharged. No factors were predictive of patients dropping out of treatment. The findings support the notion that AD and patient DO are different events that may have different factors influencing their rates and timing. Implications for future research and programme planning are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it