Paediatric eating disorders: Exploring virtual family therapy during a global pandemic
Bibliographic record
Abstract
AIM: Explore treatment response and effectiveness of virtual treatment for a paediatric eating disorder sample. METHODS: Twenty patients and their families who received either virtual or in-person family therapy were included in the study. Family therapy was informed by family-based treatment (FBT) principles. Patients' weight restoration at 1, 3, and 6 months after starting treatment was examined. Independent sample t tests assessed group differences and a Fisher exact test was used to evaluate the association between treatment group and weight restoration. RESULTS: Weight restoration did not significantly differ between treatment groups (virtual vs. in-person) at any time point and there was no association between group and remission weight at 6 months. CONCLUSIONS: Study results are considered exploratory. Future research addressing study limitations is needed. Results suggest that paediatric eating disorder patients may benefit from family therapy delivered via a virtual platform.
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How this classification was reachedexpand
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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".