Publication date: Jul 23, 2024
Background: With the increasing ethical challenges and dilemmas faced by nurses due to various disasters such as COVID-19 worldwide, there is a need for a new public health ethics education curriculum to strengthen competencies for ethical responses in the nursing field. Objectives: This study was aimed to identify the impact of a teaching method utilizing news articles and panel discussion material in the public health ethics education program on nursing students’ thinking regarding ethical issues. Design: This was an exploratory study to identify the thinking styles inherent in ethical reflection by analyzing the reflection contents written by nursing students using text mining techniques. Participants: 73 among the students taking a nursing ethics course at a university in Seoul, South Korea, voluntarily participated in this study after providing informed consent. Methods: The public health ethics program was conducted with sessions held once a week for a total of 7 weeks, and reflections written by nursing students were collected as text files during session 5 to 7. In this study, data preprocessing process, keyword analysis, and LDA topic modeling were sequentially conducted utilizing the R program according to the data analysis procedure of text mining techniques. Ethical considerations: This study was conducted under ethics approval from the institution where participants were recruited. Findings and discussion: The results of this study show that the teaching method utilizing news articles enhanced rational ethical deliberation from the cognitive aspect, whereas the teaching method utilizing panel discussion material strengthened the response to emotions on a more internal level. Conclusions: The teaching method utilizing news articles and panel discussion materials in public health ethics education is expected to be mutually complementary and effective, so further studies are recommended.
Concepts | Keywords |
---|---|
Covid | topic areas |
Disasters | |
Nurses | |
Seoul | |
Teaching |
Semantics
Type | Source | Name |
---|---|---|
disease | MESH | COVID-19 |
disease | IDO | process |
disease | VO | effective |