Statistical Analysis
peritonitis
REGRESSION, PERITONITIS
All statistical analyses were performed using SPSS (IBM Corp). Descriptive analyses were performed to assess demographic data, telehealth service use, influencing factors of telehealth service use, and health outcomes. Significant differences in telehealth service use among various time frames after enrollment (month 1, month 2, month 3, and month 4) were tested using repeated measures ANOVA with a post hoc pairwise test based on Bonferroni correction. Multiple linear regression analysis with the entered method was performed to identify potential factors associated with telehealth service use. These factors were selected based on theoretical criteria. Age, health literacy, perceived usefulness, employment status, perception of illness, and patient-provider relationship were added as independent variables, and the use of the telehealth service was added as the dependent variable. A simple linear regression analysis was performed to determine the relationship between the rates of telehealth service use and quality of life. Additionally, logistic regression was applied to understand the relationship between the rates of telehealth service use and peritonitis.