Spots Global Cancer Trial Database for A Culturally Specific End-of-life Communication Skills Training

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Trial Identification

Brief Title: A Culturally Specific End-of-life Communication Skills Training

Official Title: Effects of a Culturally Specific End-of-life Communication Skills Training for Chinese Oncology Nurses

Study ID: NCT05888480

Conditions

End-Of-Life

Interventions

The end-of-life communication skills training

Routine training activity

Study Description

Brief Summary: The goal of this clinical trial is to evaluate the effectiveness of culturally specific end-of-life communication skills training (CST) among Chinese oncology nurses. The main question it aims to answer is: What is the effectiveness of culturally specific end-of-life CST among Chinese oncology nurses? Participants will receive an 8-week communication skills training. Researchers will compare the intervention group and the wait-list group to see if skills, self-efficacy, and outcome expectancy beliefs will be improved.

Detailed Description: Objectives: The study aims to evaluate the effectiveness of culturally specific end-of-life CST among Chinese oncology nurses. Design and participants: It is designed as a single-blind, pre-post randomized controlled trial (RCT). Registered nurses who work with advanced cancer patients in hospital settings will be recruited. The participants will be randomly assigned to either the intervention group (IG) or the control group (CG). The IG will receive the end-of-life CST between the two measurement points, and the CG will be a waitlist group and receive the training after the end of data collection. Data analysis: Demographic information about the participants will be summarised in descriptive statistics. Independent t-tests and chi-square tests are used to investigate the comparability of groups in terms of the demographics generated by randomization. The primary and secondary outcome variables will be examined using covariate-adjusted linear mixed models. This approach enables the consideration of missing data. For non-repeated continuous measurements, ordinary linear regression and logistic models will be adopted. The intention-to-treat (ITT) analysis and post hoc analyses of contaminated data will be performed. Expected results: Nurses' skills, self-efficacy, and outcome expectancy beliefs will improve after the CST.