Enhancing Nurse-Robot Engagement: Two-Wave Survey Study

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 (β=.13, P<.05), while robot maintenance requirements are negatively related to nurse-robot engagement (β=-.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.

Keywords: Asia; Taiwan; attitude; benefit; digital heath; eHealth; engagement; health care; health technology; healthcare; healthcare professional; intelligent technology; nurse; nursing; personal innovativeness; robot; robotics; smart technology; structural equation modeling; survey.