Frequent Mental health and Addiction related Emergency Department Visits: Perspectives from Healthcare Providers
Bibliographic record
Abstract
Background: Rising mental health and addiction (MHA) related emergency department (ED) visits has been reported as a contributing factor for ED crises and increased healthcare costs. Studies on the issues have largely focused on patients’ perspective, while as another side of the phenomenon, healthcare providers’ (HCPs) experiences have been less researched. The purpose of this study was to explore the perspectives of HCPs on the issues. Methods: In this qualitative research, data collection involved semi-structured individual interviews. Thematic analysis approach was utilized in data analysis. Results: Six HCPs from diverse disciplines participated in this qualitative study. Four major themes emerged from the data analysis: (a) social determinants of mental health (housing crisis and financial problems); (b) structural barriers (overstimulation and not a priority in ED, inadequate knowledge and training among HCPs, lack of detox facilities, stigma from HCPs, shortages of HCPs); (c) suggestions for prevention (more funding/ resources and early childhood education) and (e) HCP’s response to working with patients (making a difference and rewarding). Conclusions: The study revealed that low socio-economic status and limited availability of community services were major factors for frequent MHA-related ED visits. All levels of governments, communities, and HCPs, especially nurses, should work together to better understand the complex needs of individuals with MHA disorders, and develop and implement effective interventions, ultimately reduce MHA-related ED recidivism.
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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 | 0.000 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".