Effects of an ethical decision-making reasoning scheme in nursing students: A randomized, open-label, controlled trial.

Nurse education today(2021)

引用 3|浏览3
暂无评分
摘要
BACKGROUND:Previous research suggests that, to design a program to help students to develop ethical decision making, competence and courage to confront ethical dilemmas should be critical components. PURPOSE:This study examines the effect of an ethical decision-making reasoning scheme in ethical decision making and communication self-efficacy in nursing students. METHODS:This study was a prospective and randomized, open-label, controlled trial design. Nursing students from a medical university served as participants. Students were randomly assigned to an intervention group (IG), which received the ethical decision-making reasoning scheme intervention, or a control group (CG), which received a standard general course. The effect was measured with the Ethical Decision-Making Scale-Revised and the Self-efficacy for Communication Scale. Analysis of covariance (ANCOVA) was used to measure between-group differences, and paired t-tests were used to measure pre- and post-IG/CG differences. RESULTS:A total of 101 nursing students were included and randomly assigned to the IG (n = 50) and CG (n = 51), and 41 IG and 43 CG students completed all aspects of the study. The findings show that there was significant improvement in self-efficacy in communication (t = 2.341, p = .024) and a decrease in difficulty in communication (t = 2.330, p = .025) in the IG. Ethical decision-making competencies improved more in the IG compared to the CG (F = 4.856, p = .034). Ethical decision-making competencies increased in both males and females, but there were no significant differences between males and females at the end of study (F = 0.264, p = .610). CONCLUSION:These findings suggest that ethical decision-making training can improve students' confidence in communicating with patients and may help to improve students' more complex ethical decision making.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要