Application of the extended technology acceptance model to explore clinician likelihood to use robotics in rehabilitation.

IF 1.1 4区 医学 Q3 UROLOGY & NEPHROLOGY Clinical nephrology Pub Date : 2024-01-01 Epub Date: 2022-04-09 DOI:10.1080/17483107.2022.2060356
Marlena Klaic, Justin Fong, Vincent Crocher, Katie Davies, Kim Brock, Emma Sutton, Denny Oetomo, Ying Tan, Mary P Galea
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引用次数: 1

Abstract

Purpose: Evidence suggests that patients with upper limb impairment following a stroke do not receive recommended amounts of motor practice. Robotics provide a potential solution to address this gap, but clinical adoption is low. The aim of this study was to utilize the technology acceptance model as a framework to identify factors influencing clinician adoption of robotic devices into practice.

Materials and method: Mixed methods including survey data and focus group discussions with allied health clinicians whose primary caseload was rehabilitation of the neurologically impaired upper limb. Surveys based on the technology acceptance measure were completed pre/post exposure to and use of a robotic device. Focus groups discussions based on the theory of planned behaviour were conducted at the conclusion of the study.

Results: A total of 34 rehabilitation clinicians completed the surveys with pre-implementation data indicating that rehabilitation clinicians perceive robotic devices as complex to use, which influenced intention to use such devices in practice. The focus groups found that lack of experience and time to learn influenced confidence to implement robotic devices into practice.

Conclusion: This study found that perceived usefulness and perceived ease of use of a robotic device in clinical rehabilitation can be improved through experience, training and embedded technological support. However, training and embedded support are not routinely offered, suggesting there is a discordance between current implementation and the learning needs of rehabilitation clinicians.IMPLICATIONS FOR REHABILITATIONPatients do not receive adequate amounts of upper limb motor practice following a stroke, and although robotic devices have the potential to address this gap, clinical adoption is low.The technology acceptance model identified that clinicians perceive robotic devices to be complex to use with current implementation efforts failing to consider their training needs.Implementation adoption of robotic devices in rehabilitation should be supported with adequate training and technological support if sustainable practice change is to be achieved.

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应用扩展技术接受模型,探索临床医生在康复中使用机器人的可能性。
目的:有证据表明,中风后上肢受损的患者没有得到建议的运动练习量。机器人技术为弥补这一不足提供了潜在的解决方案,但临床采用率较低。本研究旨在利用技术接受模型作为框架,找出影响临床医生在实践中采用机器人设备的因素:采用混合方法,包括调查数据和焦点小组讨论,调查对象为主要负责神经受损上肢康复的专职医疗临床医生。在接触和使用机器人设备前后,完成基于技术接受度测量的调查。研究结束后,根据计划行为理论进行了焦点小组讨论:共有 34 名康复临床医生完成了调查,实施前的数据显示,康复临床医生认为机器人设备使用起来很复杂,这影响了他们在实践中使用此类设备的意愿。焦点小组发现,缺乏经验和学习时间影响了在实践中使用机器人设备的信心:本研究发现,通过经验、培训和嵌入式技术支持,可以提高临床康复中机器人设备的有用性和易用性。对康复的启示中风后患者没有得到足够的上肢运动练习,尽管机器人设备有可能弥补这一不足,但临床采用率却很低。技术接受模型发现,临床医生认为机器人设备使用起来很复杂,而目前的实施工作没有考虑到他们的培训需求。如果要实现可持续的实践变革,康复机器人设备的实施应用应得到充分的培训和技术支持。
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来源期刊
Clinical nephrology
Clinical nephrology 医学-泌尿学与肾脏学
CiteScore
2.10
自引率
9.10%
发文量
138
审稿时长
4-8 weeks
期刊介绍: Clinical Nephrology appears monthly and publishes manuscripts containing original material with emphasis on the following topics: prophylaxis, pathophysiology, immunology, diagnosis, therapy, experimental approaches and dialysis and transplantation.
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