@文章{信息}doi/10.2196/37731，作者=“廖根义与黄，子凌与黄，梅权与徐，莲叶英与何，伦辉与王，池与程，谭慈与滕静”，标题=“增强护士—机器人参与:两波调查研究”，期刊=“J Med Internet Res”，年=“2023”，月=“1”，日=“9”，卷=“25”，页=“e37731”，关键词=“医疗保健;卫生保健;电子健康;数字健康;卫生技术;个人创新性;机器人;结构方程建模;调查;智能技术; smart technology; robotics; nurse; nursing; attitude; engagement; healthcare professional; benefit; Taiwan; Asia", abstract="Background: Robots are introduced into health care contexts to assist health care professionals. However, we do not know how the benefits and maintenance of robots influence nurse--robot engagement. Objective: This study aimed to examine how the benefits and maintenance of robots and nurses' personal innovativeness impact nurses' attitudes to robots and nurse--robot engagement. Methods: Our study adopted a 2-wave follow-up design. We surveyed 358 registered nurses in operating rooms in a large-scale medical center in Taiwan. The first-wave data were collected from October to November 2019. The second-wave data were collected from December 2019 to February 2020. In total, 344 nurses participated in the first wave. We used telephone to follow up with them and successfully followed-up with 331 nurses in the second wave. Results: Robot benefits are positively related to nurse--robot engagement ($\beta$=.13, P<.05), while robot maintenance requirements are negatively related to nurse--robot engagement ($\beta$=--.15, P<.05). Our structural model fit the data acceptably (comparative fit index=0.96, incremental fit index=0.96, nonnormed fit index=0.95, root mean square error of approximation=0.075). Conclusions: Our study is the first to examine how the benefits and maintenance requirements of assistive robots influence nurses' engagement with them. We found that the impact of robot benefits on nurse--robot engagement outweighs that of robot maintenance requirements. Hence, robot makers should consider emphasizing design and communication of robot benefits in the health care context. ", issn="1438-8871", doi="10.2196/37731", url="//www.mybigtv.com/2023/1/e37731", url="https://doi.org/10.2196/37731", url="http://www.ncbi.nlm.nih.gov/pubmed/36622738" }