Prevalence, Mortality, and Health Care Use among Patients with Cluster B Personality Disorders Clinically Diagnosed in Quebec: A Provincial Cohort Study, 2001-2012
Bibliographic record
Abstract
BACKGROUND: Cluster B personality disorders (PDs) are prevalent mental health conditions in the general population (1%-6% depending on the subtype and study). Affected patients are known to be heavier users of both mental and medical health care systems than patients with other clinical conditions such as depression. METHODS: Several rates were estimated using data from the integrated monitoring system for chronic diseases in the province of Quebec, Canada. It provides a profile of annual and period prevalence rates, mortality rates, and years of lost life as well as health care utilisation rates for Quebec residents. All Quebec residents are covered by a universal publicly managed care health plan. It is estimated that the monitoring system includes 99% of Quebec's 8 million inhabitants. RESULTS: Quebec residents aged 14 years and older were included in the study. The lifetime prevalence of cluster B PDs was 2.6%. The mean years of lost life expectancy were 13 for men and 9 for women compared to the provincial population. The 3 most important causes of death are suicide (20.4%), cardiovascular diseases (19.1%), and cancers (18.6%). In 2011 to 2012, 78% had consulted a general practitioner and 62% a psychiatrist, 44% were admitted to an emergency department, and 22% were hospitalised. CONCLUSIONS: Considering mortality, cluster B personality disorder is a severe condition, is highly prevalent in the population, and is associated with heavy health care services utilisation, especially in emergency settings.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".