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Background: Today, arthroscopy is widely used in the diagnosis and of treatment intra-articular diseases. Arthroscopy is considered a procedure that disturbs the patient's comfort because it is a very invasive and painful procedure especially spinal anesthesia. Along with physical discomfort during the procedure, it triggers, fear and anxiety in the patient.
Purpose: To examine the effects of virtual rain forest and white noise on patient satisfaction, pain, comfort and vital signs in patients of arthroscopic knee surgery.
Method: The population of the study consisted of all patients who applied to the Dicle University Hospital Orthopedics and Traumatology unit and were scheduled for arthroscopy in the operating room. Based on the sample size of Basak and Sahin's study using similar VR applications, 31 patients were determined for each group total 93 patients with 5% significance level and 80% power(13). G*Power, version 3.0.10 was used for statistical power analysis. The study group of 93 people to participate in the study will be divided into three equal groups in accordance with the random numbers table obtained the computer- based Research Randomizer program. Before the arthroscopy procedure, the patients included in the study will be randomly divided into three groups: 31 rain forest video VR group, 31 white noise group and 31 control group. Data will be collected in the in the operating room on weekdays when the procedure is performed.
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Inclusion criteria
18 aged and over, Written and verbal consent to participate in the study, Being conscious (person, place and time orientation), Undergoing colonoscopy for the first time Spinal anesthesia applied, Meniscus surgery will be performed patients.
Exclusion criteria
Having vision, hearing and communication problems, Having any psychiatric and cognitive/mental mental health problems, disease (dementia, etc.), Diagnosed with visual, auditory and / or balance disorders, General anesthesia applied patients.
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Interventional model
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93 participants in 3 patient groups
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Central trial contact
Hasan GENC, PhD; Seher Tanrıverdi, PhD
Data sourced from clinicaltrials.gov
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