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http://hdl.handle.net/10397/105908
Title: | Enhancing nurse-robot engagement : two-wave survey study | Authors: | Liao, GY Huang, TL Wong, MK Shyu, YIL Ho, LH Wang, C Cheng, TCE Teng, CI |
Issue Date: | 2023 | Source: | Journal of medical Internet research, 2023, v. 25, e37731 | 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 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 Taiwan |
Publisher: | JMIR Publications, Inc. | Journal: | Journal of medical Internet research | ISSN: | 1439-4456 | EISSN: | 1438-8871 | DOI: | 10.2196/37731 | Rights: | ©Gen-Yih Liao, Tzu-Ling Huang, May-Kuen Wong, Yea-Ing Lotus Shyu, Lun-Hui Ho, Chi Wang, T C E Cheng, Ching-I Teng. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 09.01.2023. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. The following publication Liao GY, Huang TL, Wong MK, Shyu YIL, Ho LH, Wang C, Cheng TCE, Teng CI. Enhancing Nurse–Robot Engagement: Two-Wave Survey Study J Med Internet Res 2023;25:e37731 is available at https://doi.org/10.2196/37731. |
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