Demographic and Clinical Profiles of Patients Who Make Multiple Visits to Psychiatric Emergency Services
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: The study identified clinical and sociodemographic characteristics of patients making multiple visits to a psychiatric emergency service. METHODS: Information was obtained for patients visiting a hospital psychiatric emergency service in Montreal from 1985 to 2000. Profiles were determined for four groups: one visit, two visits, three to ten visits, and 11 or more visits. To determine whether the profile for those with 11 or more visits was generalizable, data for patients visiting the main site and three other such services from 2002 to 2004 were similarly analyzed. RESULTS: At the main study site (1985 to 2000), patients with single visits accounted for 36% of the 29,569 visits. The 292 patients with 11 or more visits accounted for almost 21% of total visits. Timing of the visit-time of day and day of the week-did not differentiate between groups. However, time itself was important in identifying patients with 11 or more visits: use of 30-month observation periods resulted in identification of only 8% of this group. Patients with 11 or more visits were more likely to be diagnosed as having schizophrenia and as having a comorbid diagnosis and were generally younger at the index visit and more economically impaired than those in the other groups. Overall, and at two of the three other sites, schizophrenia was overrepresented in the highest user group. CONCLUSIONS: Most visits to the psychiatric emergency service were made by frequent users who had distinctive profiles, which are potentially useful for developing clinical strategies to reduce the impact of this patient group on this service.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 it