Correction: Routine Outcome Monitoring and Clinical Decision-Making in Forensic Psychiatry Based on the Instrument for Forensic Treatment Evaluation

Veeken, Frida C. A. van der; Lucieer, Jacques; Bogaerts, Stefan

doi:10.1371/journal.pone.0200868

Cited by 1 publication

(2 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Patient psychopathology may influence aggression, with pathways to aggressive behavior varying depending on psychopathology ( 16 , 17 ). Dynamic risk factors for inpatient aggression exhibit different patterns across different patient groups ( 15 , 18 , 19 ). For instance, aggression in schizophrenic patients often results from active psychotic symptoms and is reactive (e.g., following the denial of a request) ( 9 ), while patients with personality disorders may engage in aggression more frequently for instrumental purposes (e.g., to obtain tangibles) ( 20 ).…”

Section: Introductionmentioning

confidence: 99%

“…However, not all forensic psychiatric patients have the same risk factors for recidivism, as they constitute a heterogeneous group with diverse characteristics and psychopathologies (15). Patient psychopathology may influence aggression, with pathways to aggressive behavior varying depending on psychopathology (16,17). Dynamic risk factors for inpatient aggression exhibit different patterns across different patient groups (15,18,19).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Transgressive incidents targeted on staff in forensic psychiatric healthcare: a latent class analysis

Frowijn,

Masthoff,

Vermunt

et al. 2024

Front. Psychiatry

Self Cite

View full text Add to dashboard Cite

Transgressive incidents directed at staff by forensic patients occur frequently, leading to detrimental psychological and physical harm, underscoring urgency of preventive measures. These incidents, emerging within therapeutic relationships, involve complex interactions between patient and staff behavior. This study aims to identify clusters of transgressive incidents based on incident characteristics such as impact, severity, (presumed) cause, type of aggression, and consequences, using latent class analysis (LCA). Additionally, variations in incident clusters based on staff, patient, and context characteristics were investigated. A total of 1,184 transgressive incidents, reported by staff and targeted at staff by patients between 2018-2022, were extracted from a digital incident reporting system at Fivoor, a Dutch forensic psychiatric healthcare organisation. Latent Class Analysis revealed six incident classes: 1) verbal aggression with low impact; 2) verbal aggression with medium impact; 3) physical aggression with medium impact; 4) verbal menacing/aggression with medium impact; 5) physical aggression with high impact; and 6) verbal and physical menacing/aggression with high impact. Significant differences in age and gender of both staff and patients, staff function, and patient diagnoses were observed among these classes. Incidents with higher impact were more prevalent in high security clinics, while lower-impact incidents were more common in clinics for patients with intellectual disabilities. Despite limitations like missing information, tailored prevention approaches are needed due to varying types of transgressive incidents across patients, staff, and units.

show abstract