Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Effects of VR and Glass WF Colonoscopy

Suleyman Demirel University · 2024
ClinicalTrials.gov · Datasets · License: Public Domain · 2024
Open Source ↗
colonoscopycomfortnasatisfactionvirtual-reality
Background: Today, colonoscopy is widely used in many diseases, especially in the screening and diagnosis of colorectal cancers. Colonoscopy is considered a procedure that disturbs the patient's comfort because it is a very invasive and painful procedure. Along with physical discomfort during the procedure, it triggers emotional disturbances such as fear, and anxiety in the patient. Purpose: To examine the effect of virtual rain forest and glass waterfall on satisfaction, comfort, anxiety, and vital signs before colonoscopy Method: The population of the study consists of all patients who applied to Mardin Education and Research Hospital, Department of General Surgery, Endoscopy Unit and were scheduled for colonoscopy. The sample will be represented by 135 patients whose colonoscopy procedure is planned between the specified dates and who meet the criteria for inclusion in the sample. In calculating the sample of the study, power analysis was performed and it was found the effect size of 0.40, 95% power and 0.01% margin of error for this study, that a total of 135 individuals for the three groups and at 60 individuals for each group. 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: 45 rain forest video VR group, 45 glass waterfall group and 45 control group. All participants in the study will first fill out a patient identification form containing patient demographic information.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 968158
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive