Effect of Education to be Provided to Patients to Undergo TURP With Mobile Application on Patient Outcomes

The aim of this study was to determine the effect of mobile application training on patient outcomes (preoperative anxiety, surgical fear, postoperative pain, hemodynamic parameters, satisfaction level and length of hospital stay) in patients undergoing transurethral prostate resection surgery. It was planned as a prospective, two-arm (1:1), randomized controlled clinical trial. The study will be conducted with 68 patients in the urology clinic of a vir university hospital. Patients will be randomly assigned to the control group and the mobile application training group. Patients in the mobile application group will be trained with the mobile application, while patients in the control group will only receive routine care in the clinic. Patients assigned to the mobile application group will be introduced to the education to be given with the mobile application and the application will be downloaded to their phones/tablets. Data will be collected with the Introductory Information Form, Visual Comparison Scale, State Anxiety Scale, Hemodynamic Parameters Monitoring Form, Surgical Fear Scale and Education Satisfaction Scale. When the patient is admitted to the clinic, "Introductory Information Form", "State Anxiety Scale", and "Surgical Fear Scale" will be applied to the patients in the mobile intervention and control groups before surgical intervention, and "Hemodynamic Parameters Monitoring Form" will be completed. After the surgical intervention, "Visual Comparison Scale" and "Education Satisfaction Scale" will be applied to all patients and "Hemodynamic Parameters Monitoring Form" will be completed. The data will be analyzed in a computer environment. The suitability of the data for normal distribution will be evaluated by Shaphiro Wilk Test. For continuous variables with normal distribution, t-test in independent groups will be used to compare two independent group averages; Mann-Whitney U test will be used to compare continuous variables that do not show normal distribution. Statistical significance value will be taken as p\<0.05.