A Multifaith Spiritually Based Intervention Versus Supportive Therapy for Generalized Anxiety Disorder: A Pilot Randomized Controlled Trial
Bibliographic record
Abstract
OBJECTIVES: We have previously reported that a multifaith spiritually based intervention (SBI) may have efficacy in the treatment of generalized anxiety disorder (GAD). This randomized pilot trial tested whether the SBI had greater efficacy than a nonspecific control condition in GAD. METHOD: Twenty-three participants with GAD of at least moderate severity were randomized to 12 individual sessions of the SBI (n = 11) or supportive psychotherapy (SP)--our control condition (n = 12). RESULTS: Intent-to-treat analysis revealed the SBI fared better than SP in decreasing blind clinician ratings of anxiety and illness severity and self-report worry and intolerance of uncertainty, with large between-group effect sizes. The SBI also produced greater changes in spiritual well-being. Results remained the same when supplementary analyses were performed on the completer sample. Treatment gains were maintained at 3-months follow-up. CONCLUSIONS: This small pilot trial demonstrates that a nondenominational SBI has greater efficacy than a rigorous control in improving symptoms of GAD and enhancing spiritual well-being. These results are encouraging and further research on the efficacy of the SBI and its underlying mechanisms is warranted.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".