Cost-effectiveness analysis of single-session walk-in counselling
Bibliographic record
Abstract
BACKGROUND: An increasing number of family service agencies and community-based mental health service providers are implementing a single-session walk-in counselling (SSWIC) as an alternative to traditional counselling. However, few economic evaluations have been undertaken. AIMS: To conduct a cost-effectiveness analysis of two models of service delivery, SSWIC compared to being waitlisted for traditional counselling. METHODS: A quasi-experimental design was employed. Data were collected from two community-based Family Service Agencies, one using SSWIC and one using traditional counselling. Participants were assessed at baseline and four weeks after the baseline. Cost-effectiveness was estimated from the societal and payer's perspective. RESULTS: The societal and payer's costs for SSWIC were higher than for those waiting for traditional counselling, and health outcomes were better. SSWIC is not cost-effective compared to being on the waitlist for traditional counselling (or, for a few patients, having received counselling, but after a wait of several weeks). CONCLUSIONS: SSWIC has the potential to reduce the pressure on the mental health care system by reducing emergency visits and wait lists for ongoing mental health services and eliminating costly-no shows at counselling appointments. Long-term studies involving multiple walk-in counselling services and comparison services are needed to support the findings of this study.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".