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A Perspective on the Integration of eHealth in Treatment of Offenders

Combining Technology and the Risk-Need-Responsivity Model

Bibliographic Data

ID15520593
AuthorsHanneke Kip (0000-0002-6661-2128, University of Twente, corresponding author), Yvonne H A Bouman (0000-0001-5201-025X)
Year2021
Volume12
Pages703043-703043
Publication date2021-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2021.703043
PMID34539462
OpenAlexW3198841005
LanguageEN
Citations received3
References cited62

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

eHealth · Health care · Internet privacy · Perspective (graphical · Political science · Psychiatry · Psychological intervention · Responsivity · Risk analysis (engineering · Telemedicine · Computer Science · Digital Mental Health Interventions · Medicine · Mental Health Treatment and Access · Psychology · Psychopathy, Forensic Psychiatry, Sexual Offending · Artificial Intelligence

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Unique citing works3
Citations per year1
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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