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This study aims to assess the feasibility, acceptability, and safety of using ReCognitionVR virtual reality-based software in older surgical patients. Results from this study will be used to inform the design of a future study in critically ill hospitalized patients at risk for delirium.
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Virtual reality (VR) imitates reality by creating an artificial 3-dimensional (3D) environment using computing technology or software. A virtual environment (VE) is created using this software with a headset, which cognitively stimulates the user's brain to think they are in an artificial world. Creating a VE allows flexibility and measurement of different types of stimuli while recording the various responses provided by users in the controlled VE. VR strengthens the brain's ability to focus, learn, and retain experience. VR for attention deficit disorders has been reported to have promising results. We followed in similar footsteps and designed and developed a novel, 3D simulated software platform prototype called ReCognition VR to provide VR-based cognitive exercises.
A feasibility clinical trial conducted by our group tested the ReCognitionVR cognitive interventions on older and young healthy volunteers (NCT05583903). The results of this study showed that ReCognitionVR-based cognitive exercises were feasible, acceptable, and tolerable by older healthy subjects. In stage 2 of our research study, we want to evaluate the safety, feasibility, acceptability, and tolerability of VR-based cognitive exercises in 60-year-old or older patients following abdominal surgery admitted to the surgical floor at Houston Methodist Hospital (HMH). Our premise is that VR-based cognitive stimulation software will allow the controlled delivery of structured cognitive exercises focusing on orientation, attention, memory, and executive functions. The system will allow customized frequency and duration of cognitive exercises based on the users' difficulty level in a delightfully relaxed environment with beach wave sounds.
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30 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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