A Pragmatic Randomized Controlled Trial Study Protocol: XR2ESILIENCE - Pioneering XR Technology for the Promotion of Resilience and Mental Health of the Healthcare Workforce
A Pragmatic Randomized Controlled Trial Study Protocol: XR2ESILIENCE - Pioneering XR Technology for the Promotion of Resilience and Mental Health of the Healthcare Workforce
This study investigates the effectiveness of an extended reality (XR) based resilience training program designed to support the mental health and well-being of nurses working in hospital settings. Nurses are exposed to high emotional, cognitive, and organizational demands and show elevated levels of work-related stress and stress-associated mental health problems. Strengthening resilience and coping capacities is therefore an important preventive approach to support nurses' well-being and sustain quality of care.
The study is conducted as a pragmatic randomized controlled trial with a waitlist control group and includes approximately 232 nurses from hospitals in several European countries. Participants are randomly assigned either to an XR-based resilience training group or to a waitlist control group that continues with care as usual during the waiting period. The XR-based intervention consists of eight immersive training sessions delivered over approximately ten weeks using a head-mounted display. The training focuses on behavioral, cognitive, and emotional coping strategies and aims to enhance key resilience factors such as problem-solving, cognitive reappraisal, emotion regulation, and positive self-care.
The primary outcome is perceived stress, assessed using the Perceived Stress Scale. Secondary outcomes include resilience, occupational self-efficacy, quality of life, psychological distress, burnout symptoms, coping strategies, work-related rumination, and turnover intentions. Assessments are conducted at baseline, post-intervention, and at a 20-week follow-up. In addition, a subgroup of participants will optionally provide physiological data during selected XR sessions to explore digital biomarkers related to stress and recovery.
The findings of this study will provide evidence on the effectiveness, feasibility, and acceptance of XR-based resilience training for nurses and inform future implementation of digital mental health interventions in healthcare workplaces.
This study is part of the XR2ESILIENCE project, a European multicenter research initiative aimed at promoting resilience and mental health among healthcare professionals through innovative extended reality (XR) technologies. The present randomized controlled trial evaluates the effectiveness of a newly developed XR-based resilience training program for nurses working in hospital settings.
Nurses are frequently exposed to high workload, emotional labor, time pressure, and organizational stressors, which are associated with increased stress levels, burnout symptoms, and mental health impairments. Despite the high relevance of resilience promotion in this occupational group, accessible and scalable preventive interventions remain limited. XR technology offers the opportunity to deliver immersive, engaging, and standardized resilience training that can be flexibly integrated into clinical and non-clinical settings.
The study uses a pragmatic, parallel-group, waitlist-controlled randomized design. A total of approximately 232 nurses aged 18 to 65 years will be recruited across multiple hospital sites in Europe. After completion of baseline assessments and provision of informed consent, participants are randomly allocated in a 1:1 ratio either to the XR-based intervention group or to a waitlist control group. The control group continues with care as usual and receives access to the intervention after the waiting period.
The XR-based resilience training consists of eight sessions delivered over approximately ten weeks using a standalone head-mounted display. Each session lasts around 20 to 30 minutes. The training is structured into modules addressing behavioral coping (e.g., problem-solving and proactive coping), cognitive coping (e.g., appraisal and reappraisal of stressors), and emotional coping (e.g., emotion regulation, acceptance, and fostering positive emotions). The intervention is theoretically grounded in contemporary resilience frameworks and the concept of regulatory flexibility. Participants complete the sessions individually, with technical support available if needed.
The primary outcome is perceived stress measured by the 10-item Perceived Stress Scale at post-intervention. Secondary outcomes include resilience, occupational self-efficacy, psychological distress, burnout symptoms, coping strategies, work-related rumination, quality of life, and career-related variables such as turnover intentions. Data are collected at baseline, immediately after the intervention period, and at a 20-week follow-up.
In addition to questionnaire-based outcomes, optional digital biomarker data are collected during selected XR sessions to explore physiological indicators of stress and recovery, such as heart rate variability and other sensor-based measures, depending on study site capabilities. User experience, technology acceptance, satisfaction, and potential side effects of XR use are assessed descriptively after completion of the intervention.
The study follows an intention-to-treat approach for primary analyses. Results are expected to provide robust evidence on whether XR-based resilience training can reduce perceived stress and improve mental health outcomes among nurses. The findings will also inform the feasibility, acceptability, and potential health-economic value of implementing XR-supported resilience interventions in hospital workplaces.
Inclusion Criteria:
Exclusion Criteria:
nina.dalkner@medunigraz.at+43 316 385 30081
Graz, Styria 8036, Austria
melissa.behrend@medunigraz.at+43 316 385 30081
Mainz, Rhineland-Palatinate 55131, Germany
ena.ivezic@pbsvi.hr+385 1 3430 171
Annika.Hasch@lir-mainz.de+49 6131 89448 00
fatima.cano@uevora.pt
drocio.diaz@salud.madrid.org+34 606896258
cristina.veiras@salud.madrid.org+34 638210690
maria.fgonzalez@salud.madrid.org+34 608732331
marta.gonzalez.granado@salud.madrid.org+34 638210687