ArticleFrontiers in psychiatry2021
A Perspective on the Integration of eHealth in Treatment of Offenders: Combining Technology and the Risk-Need-Responsivity Model.
Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
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- An Evaluation of the Evidence on Mobile Health Applications for Mental Health, Substance Use and Delinquency in Justice-Involved Adults and Youth: a Scoping Review.Research on child and adolescent psychopathology · 2025Article
- The Effect of the Virtual Reality-Based Biofeedback Intervention DEEP on Stress, Emotional Tension, and Anger in Forensic Psychiatric Inpatients: Mixed Methods Single-Case Experimental Design.JMIR formative research · 2025Article
- Exploring the added value of virtual reality biofeedback game DEEP in forensic psychiatric inpatient care-A qualitative study.Frontiers in psychology · 2023Article
- VReedom: training for authorized leave of absence through virtual reality - a feasibility study.Frontiers in psychology · 2023Article
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Authors and funding
2 authors.
Funding
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Abstract
While there are multiple ways in which eHealth interventions such as online modules, apps and virtual reality can improve forensic psychiatry, uptake in practice is low. To overcome this problem, better integration of eHealth in treatment is necessary. In this perspective paper, we describe how the possibilities of eHealth can be connected to the risk-need-responsivity (RNR) model. To account for the risk-principle, stand-alone eHealth interventions might be used to offer more intensive treatment to high-risk offenders. The need-principle can be addressed by connecting novel experience-based interventions such as VR and apps to stable and acute dynamic risk factors. Finally, using and combining personalized interventions is in line with the responsivity-principle. Based on research inside and outside of forensic psychiatry, we conclude that there are many possibilities for eHealth to improve treatment-not just based on RNR, but also on other models. However, there is a pressing need for more development, implementation and evaluation research.
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