Taking ACTion for anxiety and depression: A pilot study of a brief virtual Acceptance and commitment therapy group in primary care
Bibliographic record
Abstract
Brief Acceptance and Commitment Therapy (ACT) interventions are well-suited to facilitate timely access to effective treatment for patients experiencing common mental health concerns. This study piloted a 4-session virtual ACT group for primary care patients experiencing symptoms of depression and anxiety ( n = 21). Changes in symptoms of depression and anxiety, psychological flexibility, and quality of life (QoL) were examined at post-treatment and at 1- and 3-month follow-up. At a group level, there were significant reductions in symptoms of depression for all time points and symptoms of anxiety were significantly reduced at 1- and 3-month follow-up. Measures of psychological flexibility and QoL were significantly improved at 1- and 3-month follow-up. Reliable change index scores revealed high proportions of individual improvement for depression and anxiety symptoms (56–83% across time points). Proportions of reliable change ranged from 25 to 50% for measures of psychological flexibility and QoL at 1- and 3-month follow-up. Overall, these results are comparable with previously reported rates of improvement for empirically supported treatments and provide preliminary evidence for the effectiveness of this brief ACT intervention delivered in a community setting. • Brief virtual ACT groups were effective in reducing depression and anxiety symptoms. • Reduction of symptoms of depression and anxiety was maintained at 3-month follow-up. • Psychological flexibility and quality of life were improved at follow-up. • Brief virtual ACT groups are feasible and efficient interventions in primary care. • Brief virtual ACT groups in primary care are an acceptable intervention for patients.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 | 0.000 |
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 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".