Virtual Reality Training to De-escalate Patient Aggressive Behavior: A Pilot Study.
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| Title: | Virtual Reality Training to De-escalate Patient Aggressive Behavior: A Pilot Study. |
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| Authors: | Daraiseh, Nancy M. (AUTHOR), Tang, Ming (AUTHOR), Macaluso, Maurizio (AUTHOR), Aeschbury, Madeline (AUTHOR), Bachtel, Alycia (AUTHOR), Nikolaenko, Mikhail (AUTHOR), Backman, Camryn (AUTHOR), Liu, Chunyan (AUTHOR), Vaughn, Aaron (AUTHOR) |
| Source: | International Journal of Human-Computer Interaction. Jun2026, Vol. 42 Issue 12, p9371-9386. 16p. |
| Subjects: | Crisis intervention (Mental health services), Conflict management, Feasibility studies, Mental health personnel, Courseware, Effective teaching, Provocation (Behavior), Medical simulation |
| Abstract: | Despite intensive crisis de-escalation training, psychiatric staff continue to face high injury rates from aggressive patient interactions (APIs). New approaches are needed to enhance the application of effective strategies in managing APIs. This study explored the efficacy and feasibility of VR training for psychiatric staff in recognizing and selecting appropriate de-escalation interventions. A quasi-experimental design with psychiatric staff (N = 33) tested the effectiveness and feasibility of VR training depicting a common API interaction. Effectiveness was assessed through pre-post comparisons of the Confidence in Coping with Patient Aggression (CCPA) survey, correct answer percentages, response times, and attempt success rates. Feasibility was indicated by mean scores above 'neutral' on usability, presence, and learner satisfaction surveys. Results showed significant improvements in response times and confidence (p<.0001), with over 75% of participants rating the training positively. VR training is effective and feasible for enhancing de-escalation skills, offering a promising approach for psychiatric facilities. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 194574889 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Virtual Reality Training to De-escalate Patient Aggressive Behavior: A Pilot Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Daraiseh%2C+Nancy+M%2E%22">Daraiseh, Nancy M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tang%2C+Ming%22">Tang, Ming</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Macaluso%2C+Maurizio%22">Macaluso, Maurizio</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Aeschbury%2C+Madeline%22">Aeschbury, Madeline</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bachtel%2C+Alycia%22">Bachtel, Alycia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nikolaenko%2C+Mikhail%22">Nikolaenko, Mikhail</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Backman%2C+Camryn%22">Backman, Camryn</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Chunyan%22">Liu, Chunyan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vaughn%2C+Aaron%22">Vaughn, Aaron</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Jun2026, Vol. 42 Issue 12, p9371-9386. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Crisis+intervention+%28Mental+health+services%29%22">Crisis intervention (Mental health services)</searchLink><br /><searchLink fieldCode="DE" term="%22Conflict+management%22">Conflict management</searchLink><br /><searchLink fieldCode="DE" term="%22Feasibility+studies%22">Feasibility studies</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+health+personnel%22">Mental health personnel</searchLink><br /><searchLink fieldCode="DE" term="%22Courseware%22">Courseware</searchLink><br /><searchLink fieldCode="DE" term="%22Effective+teaching%22">Effective teaching</searchLink><br /><searchLink fieldCode="DE" term="%22Provocation+%28Behavior%29%22">Provocation (Behavior)</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+simulation%22">Medical simulation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Despite intensive crisis de-escalation training, psychiatric staff continue to face high injury rates from aggressive patient interactions (APIs). New approaches are needed to enhance the application of effective strategies in managing APIs. This study explored the efficacy and feasibility of VR training for psychiatric staff in recognizing and selecting appropriate de-escalation interventions. A quasi-experimental design with psychiatric staff (N = 33) tested the effectiveness and feasibility of VR training depicting a common API interaction. Effectiveness was assessed through pre-post comparisons of the Confidence in Coping with Patient Aggression (CCPA) survey, correct answer percentages, response times, and attempt success rates. Feasibility was indicated by mean scores above 'neutral' on usability, presence, and learner satisfaction surveys. Results showed significant improvements in response times and confidence (p<.0001), with over 75% of participants rating the training positively. VR training is effective and feasible for enhancing de-escalation skills, offering a promising approach for psychiatric facilities. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/10447318.2025.2576635 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 9371 Subjects: – SubjectFull: Crisis intervention (Mental health services) Type: general – SubjectFull: Conflict management Type: general – SubjectFull: Feasibility studies Type: general – SubjectFull: Mental health personnel Type: general – SubjectFull: Courseware Type: general – SubjectFull: Effective teaching Type: general – SubjectFull: Provocation (Behavior) Type: general – SubjectFull: Medical simulation Type: general Titles: – TitleFull: Virtual Reality Training to De-escalate Patient Aggressive Behavior: A Pilot Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Daraiseh, Nancy M. – PersonEntity: Name: NameFull: Tang, Ming – PersonEntity: Name: NameFull: Macaluso, Maurizio – PersonEntity: Name: NameFull: Aeschbury, Madeline – PersonEntity: Name: NameFull: Bachtel, Alycia – PersonEntity: Name: NameFull: Nikolaenko, Mikhail – PersonEntity: Name: NameFull: Backman, Camryn – PersonEntity: Name: NameFull: Liu, Chunyan – PersonEntity: Name: NameFull: Vaughn, Aaron IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10447318 Numbering: – Type: volume Value: 42 – Type: issue Value: 12 Titles: – TitleFull: International Journal of Human-Computer Interaction Type: main |
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