An exploratory study of challenges and successes in implementing adapted family-based treatment in a community setting
Bibliographic record
Abstract
Although family-based treatment (FBT) is accepted as the first-line treatment for adolescent anorexia nervosa, studies show that it is infrequently used by clinicians in community settings. To elucidate some of the barriers to implementing this evidence-based treatment, mixed (quantitative and qualitative) methods were used in this exploratory study to examine therapist experiences with FBT. Twelve clinicians ( N = 12) at a community treatment center retrospectively reported on their experiences with FBT training and supervision in FBT. A subset of clinicians ( n = 7) additionally completed a structured interview about their experiences in using FBT. Results demonstrate that therapists endorsed certain common misconceptions about FBT prior to training, but that negative beliefs about FBT decreased after its implementation in their setting. These findings suggest that increased education about evidence-based treatments may diminish negative stereotypes about such treatments, which may ultimately increase their uptake in community settings. Sustainability of FBT is discussed in the context of how this community setting incorporated FBT principles into their ongoing clinical practice.
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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 | 0.016 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".