Themes arising during implementation consultation with teams applying family-based treatment: a qualitative study
Bibliographic record
Abstract
BACKGROUND: This study describes themes arising during implementation consultation with teams providing Family-Based Treatment (FBT) to adolescents with eating disorders. METHODS: Participants were implementation teams (one lead therapist, one medical practitioner and one administrator) at four sites. These teams agreed to support the implementation of FBT, and participated in monthly consultation calls which were audio-recorded, transcribed verbatim and coded for themes. Twenty percent of the transcripts were double-coded to ensure consistency. Fundamental qualitative description guided the sampling and data collection. RESULTS: Twenty-five (average per site = 6) transcripts were coded using thematic content analysis. Six major themes emerged: 1) system barriers and facilitators 2) the role of the medical practitioner, 3) research implementation, 4) appropriate cases, 5) communication, and 6) program impact. CONCLUSIONS: Implementation themes aligned with previous research examining the adoption of FBT, and provide additional insight for clinical programs seeking to implement FBT, emphasizing the importance of role clarity, and team communication.
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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 | 0.025 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".