Premature termination of treatment in an inpatient eating disorder programme
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.
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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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".