La présence et la gravité des troubles de santé mentale sont-elles liées à la nature de la crise, à la dangerosité et aux services de crise offerts ?
Bibliographic record
Abstract
UNLABELLED: The mandate of crisis centres varies substantially from one country to the next according to the government policies in effect. In the United States, crisis centres were developed based on Caplan's theory, which defines crisis as a psychosocial disorganization following a life event that is resolved with a return to balance. This approach aims at preventing the onset of mental health disorders through short-term intervention. It is different in Quebec, where crisis centres were developed in a deinstitutionalization context and ought to constitute an alternative to hospitalisation. Such mandate of Quebec crisis centres is not necessarily of the preventive nature associated with Caplan's theory and it has led to services having to be adapted to a heterogeneous clientele that may or may not suffer from mental health problems. It has implications related to the crisis characteristics such as its nature, intensity, and dangerosity, as well as implications regarding the organization of crisis centre services, which have been the object of few studies so far. OBJECTIVE: The present study aims at distinguishing clinical profiles of crisis centre callers according to the presence or absence of a mental health disorder and its nature, that is severe and persistent (psychotic or bipolar disorder) or not (mood, anxiety or personality disorder). In order to do so, participants are compared on the characteristics of the crisis and the services they received. METHOD: In this descriptive study, the files of 1170 new assistance applicants are retrospectively analyzed based on a predetermined grid that was used to collect data according to the main clinical characteristics of persons in distress, as recognized in the literature. The subgroup of persons presenting a psychotic or bipolar disorder was examined separately from the one comprising persons with an anxiety, mood or personality disorder because of its clinical complexity, which generally requires intensive, multidisciplinary follow-up. RESULTS: Among the new applicants, 48% had a mental health disorder and, of these, 9% reported a serious mental health disorder, that is, a psychotic or bipolar disorder. The results indicate that having an anxiety-, mood- or personality-type disorder is associated with a higher probability of reporting stressful interpersonal-type events, a more intense crisis, as well as a greater risk of auto-aggressive behaviours. Meanwhile, persons with a psychotic or bipolar disorder are more frequently provided with accommodations and more likely to receive intensive and support services, such as emergency interventions or the use of the Act respecting the protection of persons whose mental state presents a danger to themselves or others (P-38). CONCLUSIONS: This descriptive portrait of the crisis centre clientele contributes to the reflection on differential intervention with persons in a crisis situation. It appears important to take an interest in the presence and type of mental health disorders of crisis centre callers, since these characteristics help to better foresee not only the nature and intensity of the crisis but also the type of services required. However, Quebec crisis centres have to respond to the needs of a heterogeneous clientele without having access to a typology and a theoretical model that consider this clinical diversity. Other studies should be conducted to validate, on the one hand, a crisis typology that would make it easier for caseworkers to collect data for evaluation purposes and, on the other hand, a differential intervention model.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".