Seclusion use with Children and Adolescents: An Australian                     Experience

Fryer, Michelle A.; Beech, Michael; Byrne, Gerard

doi:10.1177/0004867404038001-211

Cited by 5 publications

(1 citation statement)

References 25 publications

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“…Being subjected to physical neglect was also a predictor of aggression in this review. In contrast, existing literature highlighted other related factors such as physical abuse [55,56], separation from caregivers during growing up years [49], parental abuse and antisocial behaviors towards family members, family illnesses and conflicts [50] as pertinent predictors of aggression.…”

Section: Discussionmentioning

confidence: 96%

Effectiveness of Artificial Intelligence Methods in Personalized Aggression Risk Prediction within Inpatient Psychiatric Treatment Settings—A Systematic Review

Tay

Sim

2022

JPM

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Aggression risk assessments are vital to prevent injuries and morbidities amongst patients and staff in psychiatric settings. More recent studies have harnessed artificial intelligence (AI) methods such as machine learning algorithms to determine factors associated with aggression in psychiatric treatment settings. In this review, using Cooper’s five-stage review framework, we aimed to evaluate the: (1) predictive accuracy, and (2) clinical variables associated with AI-based aggression risk prediction amongst psychiatric inpatients. Databases including PubMed, Cochrane, Scopus, PsycINFO, CINAHL were searched for relevant articles until April 2022. The eight included studies were independently evaluated using critical appraisal tools for systematic review developed by Joanna Briggs Institute. Most of the studies (87.5%) examined health records in predicting aggression and reported acceptable to excellent accuracy with specific machine learning algorithms employed (area under curve range 0.75–0.87). No particular machine learning algorithm outperformed the others consistently across studies (area under curve range 0.61–0.87). Relevant factors identified with aggression related to demographic and social profile, past aggression, forensic history, other psychiatric history, psychopathology, challenging behaviors and management domains. The limited extant studies have highlighted a potential role for the use of AI methods to clarify factors associated with aggression in psychiatric inpatient treatment settings.

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Section: Discussionmentioning

confidence: 96%

Effectiveness of Artificial Intelligence Methods in Personalized Aggression Risk Prediction within Inpatient Psychiatric Treatment Settings—A Systematic Review

Tay

Sim

2022

JPM

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A systematic mapping review identifying key features of restraint research in inpatient pediatric psychiatry: A human rights perspective

Pértega

Holmberg

2023

International Journal of Law and Psychiatry

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Use of restraint for the management of challenging behaviour in children with intellectual disabilities

Menon

Baburaj

Bernard

2012

Advances in Mental Health and Intellectual Disabilities

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Purpose -This review seeks to provide an overview of the current research evidence on the use of restraint as an intervention in managing challenging behaviours in relation to children with intellectual disabilities. It also aims to discuss legal frameworks and ethical considerations that underpin the use of restraint in intellectually disabled children who present with challenging behaviours.Design/methodology/approach -The authors conducted a search of existing literature primarily pertaining to the management of challenging behaviours in intellectual disability on PubMed, PsycInfo and Google Scholar using combinations of the following key words -children, intellectual disabilities, learning disability, mental retardation, challenging behaviour, restraint, seclusion, physical restraint, mechanical restraint, personal restraint, and chemical restraint. Since research on the use of such interventions in children has been hitherto scant, literature relating to their use in intellectually disabled adult populations as well as cognitively able children was also examined to ascertain whether the broad principles informing the use of restraint interventions could be generalised to their use in intellectually disabled children. Findings -The review finds evidence to suggest that restraint interventions in their myriad forms are widely used to manage challenging behaviours in children with intellectual disabilities and outlines the evidence base, clinical scope, and the risks associated with the use of such interventions in children. It also helps highlight the current absence of comprehensive evidence based guidance that incorporates clinical, ethical, and legal aspects of the use of restraint interventions in children with intellectual disabilities and raises relevant questions in relation to their judicious use in this patient group.Originality/value -The authors believe that the review completes the first in depth evaluation of the use of restraint interventions in children with intellectual disabilities and are confident that this would serve as useful guidance for professionals working with this patient group who may be considering using restraint interventions in their everyday clinical practice.

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Seclusion use with Children and Adolescents: An Australian Experience

Cited by 5 publications

References 25 publications

Effectiveness of Artificial Intelligence Methods in Personalized Aggression Risk Prediction within Inpatient Psychiatric Treatment Settings—A Systematic Review

Effectiveness of Artificial Intelligence Methods in Personalized Aggression Risk Prediction within Inpatient Psychiatric Treatment Settings—A Systematic Review

A systematic mapping review identifying key features of restraint research in inpatient pediatric psychiatry: A human rights perspective

Use of restraint for the management of challenging behaviour in children with intellectual disabilities

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