Same-Day Counseling: Study Protocol for the Evaluation of a New Mental Health Service
Bibliographic record
Abstract
BACKGROUND: Single-session counseling is being implemented across Canada to increase the accessibility and availability of mental health services. Despite increasing use, existing research on single-session counseling is sparse and has methodological limitations. In addition, some stakeholders are skeptical that this model of care can support meaningful change for clients. OBJECTIVE: The aim of this study is to evaluate a new single-session counseling program (called Same-Day Counseling) offered in an outpatient community mental health clinic in Northwestern Ontario, Canada. METHODS: Clients who attend Same-Day Counseling services will be given the opportunity to participate in the program evaluation. Those who consent will complete measures before their session, after their session, and at 1-month follow-up. Data will provide information on who accesses Same-Day Counseling (eg, typical presenting problems, symptom severity), client satisfaction with services, and whether clients benefit from the services (eg, improved functioning and reduced symptom severity). RESULTS: Data collection is underway with 80 participants having completed baseline measures and 55 participants having completed follow-up measures. Data collection is expected to conclude in December 2015. CONCLUSIONS: This study is designed to contribute to the literature regarding the integration of single-session counseling into ongoing mental health services, with additional attention to methodological rigour. Our approach will help to address ongoing concerns regarding the implementation of single-session counseling, and inform health care providers and policy makers regarding the utility of this model for addressing the mental health care need of the community.
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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 | 0.011 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".