Exploring the Experiences of Persons Who Frequently Visit the Emergency Department for Mental Health-Related Reasons
Bibliographic record
Abstract
In this qualitative study, the experiences of persons who frequently visit the emergency department (ED) for mental health-related reasons were explored. Interpretive Description guided the design, and data were collected through interviews with 10 adults who made 12+ ED visits within a 1-year time frame (2015). Thematic analysis was used to analyze data inductively. The participants' experiences were described with the help of three themes emerging from the data: The Experience, The Providers, and Protective Factors. The participants felt compelled to come to hospital. For them, every visit was necessary, and dismissal of their needs by staff was interpreted as disrespect and prejudice. We noted differences in ED utilization patterns according to psychiatric diagnosis, and more research is needed to explore the phenomenon of frequent use by particular patient populations. Furthermore, health care providers implementing interventions designed to improve emergency care should consider tailored approaches rather than a one-size-fits-all strategy.
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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 | 0.012 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| 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 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".