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Weakness of respiratory muscles delays weaning from the ventilator, prolongs hospital stay and increases treatment costs. Conventional treatments for respiratory muscles reverse these negative effects. İntensive care services are a set of services that have a very important place in public health care due to the vital support and they provide to all critically ill patients. This care services are constantly improving with the use of technological innovations. With the development of technology, virtual reality application has begun to be used therapeutically in the field of physiotherapy. Virtual reality is the combination of reality and imagination with fictions created using technology. Today, developers can surprisingly create realistic worlds filled with artificial intelligence that behaves believably. Studies have shown positive effects of virtual reality on acute respiratory frequency, pain and fatigue, and in light of this, it was predicted that it would be beneficial to apply to intensive care patients. This study will shed light on the rehabilitation of patients in intensive care and contribute to the literature.
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In the study, it was aimed to benefit from the effects of virtual reality application in intensive care patients and have a positive effect on vital signs and respiratory parameters in the early period.
This study will be randomly divided into two groups and it is planned to include 17 partipitants in each group. The first group will receive only conventional treatment, and the second group will receive virtual reality application in addition to conventional treatment. To evaluate the effectiveness of the application, vital signs, respiratory muscle strength, grip strength, blood gas analysis, shortness of breath and fatigue will be evaluated. Additionally, Richmond Agitation Sedation Scale (RASS), Nonverbal Pain Scale, Glaskow coma scale, Physical Function Test in Intensive Care (PFIT)-CPax (Chelsea Critical Care Physical Assessment Tool) scales will be used. All evaluations will be made before and after the application and a comparison will be made between the two groups.
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34 participants in 2 patient groups
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Vedat Göken, MSC
Data sourced from clinicaltrials.gov
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