The Eco-System of Extremist Violence (ES-EV): Exploration of radicalisation in forensic psychiatric populations

Purpose While risk assessment tools for extremist violence have shown initial validation in community settings, little guidance exists for forensic psychiatric settings due to limited empirical evidence on mental health’s role in radicalisation and overlaps between extremist and general individual violence. This research comprises three linked studies to explore factors relevant to radicalisation in forensic mental health patients. This is summarised in a conceptual model to aid the formulation of risk assessments where clinical guidance is currently lacking. The paper aims to develop clinical guidance to aid the understanding of risk assessment findings for forensic psychiatric populations regarding extremist violence. Design/methodology/approach Firstly, a Delphi study with 19 experts established consensus on factors applicable to forensic mental health settings. Secondly, interviews with five radicalised adult male forensic patients in a UK high-security hospital provided lived experiences. Thirdly, clinical notes on 32 patients with radicalisation indicators, extreme views or organised crime involvement were compared with 42 individually violent offenders. Findings The first study established most consensus related to environmental and contextual factors linked to radicalisation. In Study 2, discourse analysis revealed key themes in interviews, including membership as survival, natural determination, innocence and support for these ideologies’ importance. Although no significant differences emerged between influences on extremist versus general violence in Study 3, smallest space analysis identified distinct factor compositions for violence types. For extremist violence, three clusters emerged: injustice collector, social offender and dominance seeker. Notably, ideology was absent across cases. Practical implications This study introduces a preliminary eco-system of extremist violence model to assist risk management and clinical formulations. It also reintroduces the term “group-based violence” to destigmatise and better reflect risk factor overlaps across violence types linked to group membership. Originality/value To the best of the authors’ knowledge, this is the first study to offer clinical guidance for assessing extremist violence risk in forensic psychiatric populations.

Authors

Institutions

Publication Details

Journal
Journal of Forensic Practice
Published
2025-06-19
DOI
https://doi.org/10.1108/jfp-12-2024-0076
Citations
1
Primary Topic
Terrorism, Counterterrorism, and Political Violence
Type
article
Field-Weighted Citation Impact
4.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Eco-System of Extremist Violence (ES-EV): Exploration of radicalisation in forensic psychiatric populations

Jane L. Ireland, Michael Lewis, Sören Henrich, Carol A. Ireland
1 citations
Journal of Forensic Practice
Terrorism, Counterterrorism, and Political Violence
4.20
article

The Eco-System of Extremist Violence (ES-EV): Exploration of radicalisation in forensic psychiatric populations

Jane L. Ireland, Michael Lewis, Sören Henrich, Carol A. Ireland
article en
1 citations

Abstract

Purpose While risk assessment tools for extremist violence have shown initial validation in community settings, little guidance exists for forensic psychiatric settings due to limited empirical evidence on mental health’s role in radicalisation and overlaps between extremist and general individual violence. This research comprises three linked studies to explore factors relevant to radicalisation in forensic mental health patients. This is summarised in a conceptual model to aid the formulation of risk assessments where clinical guidance is currently lacking. The paper aims to develop clinical guidance to aid the understanding of risk assessment findings for forensic psychiatric populations regarding extremist violence. Design/methodology/approach Firstly, a Delphi study with 19 experts established consensus on factors applicable to forensic mental health settings. Secondly, interviews with five radicalised adult male forensic patients in a UK high-security hospital provided lived experiences. Thirdly, clinical notes on 32 patients with radicalisation indicators, extreme views or organised crime involvement were compared with 42 individually violent offenders. Findings The first study established most consensus related to environmental and contextual factors linked to radicalisation. In Study 2, discourse analysis revealed key themes in interviews, including membership as survival, natural determination, innocence and support for these ideologies’ importance. Although no significant differences emerged between influences on extremist versus general violence in Study 3, smallest space analysis identified distinct factor compositions for violence types. For extremist violence, three clusters emerged: injustice collector, social offender and dominance seeker. Notably, ideology was absent across cases. Practical implications This study introduces a preliminary eco-system of extremist violence model to assist risk management and clinical formulations. It also reintroduces the term “group-based violence” to destigmatise and better reflect risk factor overlaps across violence types linked to group membership. Originality/value To the best of the authors’ knowledge, this is the first study to offer clinical guidance for assessing extremist violence risk in forensic psychiatric populations.

Journal of Forensic PracticeVol. 27(4)
University of Lancashire (GB)
Gender equality, Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Terrorism, Counterterrorism, and Political Violence
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.