Reducing aggression of forensic inpatients with Virtual Reality Aggression Prevention Training - Intellectual Disability (VRAPT-ID)

Reducing aggression of forensic inpatients with Virtual Reality Aggression Prevention Training - Intellectual Disability (VRAPT-ID) - Reducing aggression of forensic inpatients with VRAPT-ID

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

NL-OMON

Registry ID

NL-OMON51394

Enrollment

Registered

2022-08-31

Start date

2022-10-09

Completion date

Unknown

Last updated

2026-06-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Aggression regulation disorder - Aggression

Interventions

All patients in this study will receive aggression training using Virtual Reality Aggression Prevention Training - Intellectual Disability (VRAPT-ID). Treatment duration is 12 weeks with a bi-weekly

Eligibility

Age

18 Years to 99 Years

Inclusion criteria

Inclusion criteria: - forensic psychiatric inpatients residing at FPC *De Kijvelanden* under entrustment act; - age 18 and above; - IQ between 50 and 85; - diagnosed with Mild Intellectual Disability (MID) according to code 317 of the DSM-5; - convicted to TBS for a violent crime; - referred to aggression training by their head of treatment.

Exclusion criteria

Exclusion criteria: - suffering form an active psychotic episode; - following aggression regulation therapy (*Grip op Agressie*/ Schema Focused Therapy) at the same time.

Design outcomes

Primary

Measure	Time frame
The primary outcome measure is aggression, consisting of staff-report and objective data (number of aggression incidents and measures because of aggression). Staff is asked to score the Social Dysfunction and Aggression Scale (SDAS; Wistedt et al., 1990) on a weekly basis for each patient. This scale measures observed aggressive behaviour on the ward. Besides, staff scores a patient twice a day green, orange or red according to Early Recognition Method (Fluttert et al., 2010).	—

Measure

Time frame

The primary outcome measure is aggression, consisting of staff-report and objective data (number of aggression incidents and measures because of aggression). Staff is asked to score the Social Dysfunction and Aggression Scale (SDAS; Wistedt et al., 1990) on a weekly basis for each patient. This scale measures observed aggressive behaviour on the ward. Besides, staff scores a patient twice a day green, orange or red according to Early Recognition Method (Fluttert et al., 2010).

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Secondary

Measure	Time frame
Secondary outcome: participant's individual changes in stress and self-regulation over time and therapy compliance. Stress is measured in phase B before, during and after each VRAPT-ID session in two ways. The first is by using self-report to rate stress on an Outcome Rating Scale (ORS; Miller et al., 2003), which is also part of the VRAPT-ID protocol. Second, stress will be measured using the Empatica 4 (Schuurmans et al., 2020), a wristband that measures different biomarkers. This study will use heart rate (HR) and electrodermal activity (EDA) to measure stress. Self-regulation will be measured with a specific VR session which is a part of Social Worlds 4.0 called 'VR catwalk'. During this VR session the patient is confronted with several social situations. Therapy compliance is measured by the number of drop-outs and by means of the Session Rating Scale (SRS) after each session and a qualitative questionnaire at the end of the training at during the follow-up.	—

Measure

Time frame

Secondary outcome: participant's individual changes in stress and self-regulation over time and therapy compliance. Stress is measured in phase B before, during and after each VRAPT-ID session in two ways. The first is by using self-report to rate stress on an Outcome Rating Scale (ORS; Miller et al., 2003), which is also part of the VRAPT-ID protocol. Second, stress will be measured using the Empatica 4 (Schuurmans et al., 2020), a wristband that measures different biomarkers. This study will use heart rate (HR) and electrodermal activity (EDA) to measure stress. Self-regulation will be measured with a specific VR session which is a part of Social Worlds 4.0 called 'VR catwalk'. During this VR session the patient is confronted with several social situations. Therapy compliance is measured by the number of drop-outs and by means of the Session Rating Scale (SRS) after each session and a qualitative questionnaire at the end of the training at during the follow-up.

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Countries

Netherlands

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP) · Data processed: Jun 21, 2026