Correspondence: “Attitude and utilization of ChatGPT among registered nurses”

Dear Editor, We would like to discuss material arising from the published article "Attitude and utilization of ChatGPT among registered nurses: A cross-sectional study" (Lin et al., 2024). This study explores factors influencing attitudes and behaviors toward the use of ChatGPT among professional nurses in Taiwan. The background highlights the potential benefits of ChatGPT in improving nursing performance in the face of increased workload and nursing shortages. The Introduction emphasizes the importance of understanding nurses' attitudes and use of ChatGPT to develop effective training programs. However, this study lacks clear research questions or hypotheses. This may be used as a guideline for research and analysis. The Procedures section explains how data from over 1000 registered nurses who were found through social media platforms were gathered using an anonymous online survey. Due to its reliance on self-selection, this approach can introduce selection bias even when it yields a large sample size. Furthermore, complex factors influencing attitudes and behavior may become apparent through the use of multiple linear regression analysis and descriptive statistics in data analysis. The nurse-to-ChatGPT ratio is excessively intricate. More sophisticated methods, including qualitative interviews, might be taken into account in later research, or integration techniques should be created. The results found that education level, gender, work experience and supervisor role influence nurses' familiarity with and use of ChatGPT. However, this study does not delve into the specific attitudes and perceptions that drive these differences. Future research could explore the true causes of these demographic differences and their impact on the adoption of new technology. The study also highlights the importance of perceived risks and benefits in predicting ChatGPT adoption but does not clearly identify the specific dimensions of risks and benefits. Overall, this study provides valuable insights into nurses' attitudes and behaviors toward ChatGPT but leaves room for further exploration and improvement. Future research could delve deeper into differences in technology adoption among nurses. It explores factors such as trust, usability and perceived impact on patient care. Longitudinal studies can also track nurses' attitudes and behaviors over time. To assess the long-term effects of using technology in healthcare settings and to address these limitations and explore new research directions, future studies can better inform the development and implementation of technology-based solutions in nursing practice. Study design: Hineptch Daungsupawong and Viroj Wiwanitkit. Data collection: Hineptch Daungsupawong. Data analysis: Hineptch Daungsupawong. Study supervision: Hineptch Daungsupawong and Viroj Wiwanitkit. Manuscript writing: Hineptch Daungsupawong and Viroj Wiwanitkit. Critical revisions for important intellectual content: Hineptch Daungsupawong. The authors have declared no conflict of interest. There is no funding. The authors use computational tools for language editing/correction of the article. No new data were generated.