Integration of Ostomy Management Skills Discharge Checklist Into Patient Education and Its Effect on Stoma Adaptation and Quality of Life

This is a quasi-experimental, prospective study to be conducted between December 2025 and March 2026. An analytical approach will be employed. As part of the study, an Ostomy Management Skills Discharge Checklist will be developed, and individuals who received this list will be prospectively compared with those who received standard discharge training to monitor their adaptation to ostomy and their impact on quality of life.This study will be conducted with patients who underwent new intestinal stomas in the General Surgery, Gastroenterology Surgery, and Surgical Oncology departments of Mersin City Training and Research Hospital. Patients will be selected using the purposive sampling method among those who underwent new stomas (colostomies or ileostomies) after surgery. The sample size was calculated based on data from a pilot study with 10 patients using r = 1 (equal sample size for both groups), α = 5%, and 90% power. The sample size was calculated using the formula N = α(Zα/2 + Z1-β)² (r + 1) / r d² (N = (1 + 1) × (1.96 + 0.84)² × 2 × (1.2)² / [1 × (1.6 - 1.4)²]). As a result of the calculation, 32 patients per group were determined for 90% power. A total of 80 patients with new ostomies were included in the study. 40 of these patients will form Group 1, which will be followed with the standard discharge process, and the other 40 will form Group 2, whose discharge is planned based on the Stoma Management Skills Discharge Checklist.

The study provides all patients with the same discharge education. Group 1 receives standard education without a checklist, while Group 2 is evaluated with the Stoma Management Skills Discharge Checklist to objectively assess readiness for discharge. Patients must reach a sufficient level in all checklist steps, and any missing skills are re-taught individually. About one month after discharge, both groups are assessed for ostomy adaptation and quality of life. Data are collected by the surgical unit nurse responsible for ostomy patients through 15-20-minute face-to-face interviews in a quiet room.

Data will be analyzed using IBM SPSS Statistics 22. Frequencies (number, percentage) will be used for categorical variables, and descriptive statistics (mean, standard deviation) for numerical variables. Normality of numerical variables will be assessed through skewness and kurtosis values; values within ±1.5 will be considered normally distributed, therefore parametric tests will be applied. Relationships between two independent categorical variables will be evaluated with the Chi-Square test, and Fisher's Exact test will be used when Chi-Square assumptions are not met. A significance level of 0.05 will be used for all analyses.