Variables Associated with Abandonment, Permanence, or Clinical Discharge from a Suicide Risk Attention Program

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...

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Main Authors: Laura T. Rodríguez Hernández, María del C. Caballero Guzmán, Mike Murphy, Raquel Tierno Patiño, Juan José Fernández Muñoz
Format: Article
Language:English
Published: Colegio Oficial de Psicólogos de Madrid 2024-11-01
Series:Clínica y Salud. Investigación Empírica en Psicología
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Online Access: https://journals.copmadrid.org/clysa/art/clysa2024a
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author Laura T. Rodríguez Hernández
María del C. Caballero Guzmán
Mike Murphy
Raquel Tierno Patiño
Juan José Fernández Muñoz
author_facet Laura T. Rodríguez Hernández
María del C. Caballero Guzmán
Mike Murphy
Raquel Tierno Patiño
Juan José Fernández Muñoz
author_sort Laura T. Rodríguez Hernández
collection DOAJ
description 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. MethodA 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. ResultsThe 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. ConclusionsThis 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.
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spelling doaj-art-b1b3331a6a3c416e85cbcfe03c159db02025-08-20T02:18:46ZengColegio Oficial de Psicólogos de MadridClínica y Salud. Investigación Empírica en Psicología1130-52742174-05502024-11-0135311111810.5093/clysa2024a11320559Variables Associated with Abandonment, Permanence, or Clinical Discharge from a Suicide Risk Attention ProgramLaura T. Rodríguez Hernández0María del C. Caballero Guzmán1Mike Murphy2Raquel Tierno Patiño3Juan José Fernández Muñoz4Rey Juan Carlos University, Alcorcón Madrid , Spain, Rey Juan Carlos University, Alcorcón, Madrid, Spain;University Hospital José Germain, Leganés Madrid , University Hospital José Germain, Leganés, Madrid;University College Cork, Ireland, University College Cork, IrelandUniversity Hospital José Germain, Leganés Madrid , University Hospital José Germain, Leganés, Madrid;Rey Juan Carlos University, Alcorcón Madrid , Spain, Rey Juan Carlos University, Alcorcón, Madrid, Spain;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. MethodA 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. ResultsThe 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. ConclusionsThis 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. https://journals.copmadrid.org/clysa/art/clysa2024a suicideviolencesuicide risk attention programpreventionclinical discharge
spellingShingle Laura T. Rodríguez Hernández
María del C. Caballero Guzmán
Mike Murphy
Raquel Tierno Patiño
Juan José Fernández Muñoz
Variables Associated with Abandonment, Permanence, or Clinical Discharge from a Suicide Risk Attention Program
Clínica y Salud. Investigación Empírica en Psicología
suicide
violence
suicide risk attention program
prevention
clinical discharge
title Variables Associated with Abandonment, Permanence, or Clinical Discharge from a Suicide Risk Attention Program
title_full Variables Associated with Abandonment, Permanence, or Clinical Discharge from a Suicide Risk Attention Program
title_fullStr Variables Associated with Abandonment, Permanence, or Clinical Discharge from a Suicide Risk Attention Program
title_full_unstemmed Variables Associated with Abandonment, Permanence, or Clinical Discharge from a Suicide Risk Attention Program
title_short Variables Associated with Abandonment, Permanence, or Clinical Discharge from a Suicide Risk Attention Program
title_sort variables associated with abandonment permanence or clinical discharge from a suicide risk attention program
topic suicide
violence
suicide risk attention program
prevention
clinical discharge
url https://journals.copmadrid.org/clysa/art/clysa2024a
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