Comparison of MI-oriented versus CBT-oriented adjunctive treatments: impacts on therapeutic alliance and patient engagement during hospital treatment for an eating disorder
Bibliographic record
Abstract
BACKGROUND: Our aim was to compare MI-oriented versus CBT-oriented adjunctive treatments to test whether an MI approach is superior in terms of improving therapeutic alliance and engagement among individuals with an eating disorder. The current study was a pilot randomized controlled trial with random allocation to either MI-oriented or a CBT-oriented adjunctive treatment group completed concurrently with a hospital-based group program for adults. Both adjunctive treatment conditions consisted of three individual therapy sessions and a self-help manual. METHODS: Sixty-five outpatients receiving hospital treatment for a diagnosed eating disorder were randomly assigned to a treatment group. Measures of working therapeutic alliance, engagement, treatment completion, and clinical impairment were completed at preadmission, mid-treatment, and at the end of treatment. RESULTS: Working alliance increased equivalently in both conditions over time in treatment. Similarly, there were no differences between conditions in terms of engagement. Regardless of therapy orientation, greater use of the self-help manual predicted lowered eating disorder risk; stronger patient ratings of therapeutic alliance predicted decreased feelings of both ineffectiveness and interpersonal problems. CONCLUSION: This pilot RCT provides further evidence that both alliance and engagement are important for treatment of an eating disorder; however, there was no clear advantage of MI over CBT as an adjunctive treatment approach to improving alliance or engagement. TRIAL REGISTRATION: ClinicalTrials.gov ID #NCT03643445 (proactive registration).
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.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".