Satisfaction with Emergency Departments and Other Mental Health Services among Patients with Mental Disorders
Bibliographic record
Abstract
Background: Few studies have investigated satisfaction with emergency departments (EDs) among patients with mental health (MH) issues. This study evaluated the use of and satisfaction with EDs and other MH services among 328 patients with MH disorders, as well as specific characteristics of patient satisfaction and dissatisfaction. Methods: A mixed-methods study was conducted in four EDs located in different administrative healthcare regions of Quebec (Canada). Results: Patients were highly satisfied with staff attitudes in EDs and other MH services (i.e., hospital in-patient services, outpatient services, community organizations). Major sources of dissatisfaction were the information received in EDs concerning community services and the physical environment or climate in EDs and other MH services. Conclusion: Dissatisfaction with services may be reduced by extending hours of operation in MH services; promoting collaboration between psychiatrists, family physicians and other primary care providers; further integrating EDs with other healthcare services; and improving the characteristically austere and restrictive atmosphere in EDs.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".