Abstract
Background: Suicidal behavior is a public health problem whose incidence has increased recently. The Suicide Risk Attention Program (ARSUIC) is developed for the detection and prevention of suicidal behavior. The data obtained allow us to study suicidal behavior. The aim of this study is to analyze predictive variables of clinical outcomes. Method: A quantitative and associate design with a retrospective viewpoint was carried out. Data from 459 adults, children, and adolescents referred to the ARSUIC program from 2018 to 2022 were collected. The analysis was conducted using SPSS and R. Results: The number of appointments, social support, and attempted suicide explain the abandonment of the program; the number of appointments, psychiatric history, and suicide attempts the permanence in the program; and finally, clinical discharge was explained by the number of appointments, a psychiatric personal history, social support, and past psychological violence. Conclusions: This is the first study analyzing predictive variables of outcomes in the ARSUIC program. Increasing our knowledge about this is necessary to improve clinical interventions and reduce dropouts.
| Original language | English |
|---|---|
| Pages (from-to) | 111-118 |
| Number of pages | 8 |
| Journal | Clinica y Salud |
| Volume | 35 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Nov 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- Clinical discharge
- Prevention
- Suicide
- Suicide risk attention program
- Violence
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