Community Mental Health Services for Frequent Emergency Department Users
Bibliographic record
Abstract
PURPOSE OF STUDY: This study aimed to investigate the perceived outcomes and mechanisms of change of a community mental health service combining system navigation and intensive case management supports for frequent emergency department users presenting with mental illness or addiction. PRIMARY PRACTICE SETTING: The study setting was a community mental health agency receiving automated referrals directly from hospitals in a midsize Canadian city for all individuals attending an emergency department two or more times within 30 days for mental illness or addiction. METHODOLOGY AND SAMPLE: Qualitative interviews with 15 program clients. Focus groups with six program case managers. Data were analyzed using pragmatic qualitative thematic analysis. RESULTS: Participants generally reported perceiving that the program contributed to reduced emergency department use, reduced mental illness symptom severity, and improved quality of life. Perceived outcomes were more mixed for outcomes related to addiction. Reported mechanisms of change emphasized the importance of positive working relationships between program clients and case managers, as well as focused efforts to develop practical skills. IMPLICATIONS FOR CASE MANAGEMENT PRACTICE: Community mental health services including intensive case management for frequent emergency department users presenting with mental illness or addiction were perceived to effectively address client needs while reducing emergency department resource burden. Similar programs should emphasize the development of consistent and warm working relationships between program clients and case managers, as well as practical skills development to support client health and well-being.
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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 | 0.001 | 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".