Küçükkaya Burcu, Özoğlu Merve
Faculty of Health Sciences, Department of Nursing, Division of Obstetrics and Gynecology Nursing, Bartın University, Bartın, Türkiye.
Faculty of Health Sciences, Department of Nursing, Bartın University, Bartın, Türkiye.
BMC Nurs. 2025 Jul 11;24(1):901. doi: 10.1186/s12912-025-03438-6.
This study aimed to examine the relationship between nursing students' perspectives towards robotic nurses in obstetrics and gynecologic clinics, their fear of robots, their negative attitudes towards robots, and their individual innovativeness.
A correlational and cross-sectional research. This study was carried out between September and December 2024 by applying the Personal Data Collection Form, Individual Innovation Scale (IAS), Robot Anxiety Scale (RAS) and Negative Attitude Towards Robots Scale (NARS) to 330 students.
There was a statistically significant negative correlation was found between the RAS and NARS total and sub-dimension mean scores (p < .001). While there was a statistically significant negative correlation between the mean scores of the IIS and the total and sub-dimensional mean scores of the RAS and NARS (p < .001), a statistically significant positive correlation was found between the mean scores of the RAS total and sub-dimensional mean scores and the mean scores of the NARS total and sub-dimensional mean scores (p < .001). It is seen that the linear regression model in which the mean total scores of the IIS, RAS and NARS were set as independent variables and the opinion on the presence of robotic nurses in the obstetrics and gynecologic clinics was set as the dependent variable was statistically significant (F = 17.141; p < .001).
As nursing students' positive views on the presence of robotic nurses in the obstetrics and gynecologic clinics increase, their sense of individual innovativeness increases and their robot anxiety and negative attitudes towards robots decrease. Providing in-service robotic nurses training can help healthcare organizations improve obstetrics and gynecologic nurses' attitudes towards robotic nurses, increase their robotic nurses literacy and reduce their anxiety.
本研究旨在探讨护理专业学生对妇产科诊所中机器人护士的看法、他们对机器人的恐惧、对机器人的负面态度以及他们的个人创新能力之间的关系。
一项相关性横断面研究。2024年9月至12月期间，对330名学生应用个人数据收集表、个人创新量表（IAS）、机器人焦虑量表（RAS）和对机器人的负面态度量表（NARS）进行了本研究。
RAS与NARS总分及各维度平均分之间存在统计学显著负相关（p < 0.001）。虽然IIS平均分与RAS和NARS总分及各维度平均分之间存在统计学显著负相关（p < 0.001），但RAS总分及各维度平均分与NARS总分及各维度平均分之间存在统计学显著正相关（p < 0.001）。可以看出，将IIS、RAS和NARS的平均总分作为自变量，将对妇产科诊所中机器人护士存在的看法作为因变量的线性回归模型具有统计学显著性（F = 17.141；p < 0.001）。
随着护理专业学生对妇产科诊所中机器人护士存在的积极看法增加，他们的个人创新意识增强，对机器人的焦虑和负面态度减少。提供在职机器人护士培训有助于医疗机构改善妇产科护士对机器人护士的态度，提高他们对机器人护士的认知水平并减轻他们的焦虑。
