Nayak Smitha, Nayak Vinod C, G S Sathvika
Department of Humanities and Management, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Department of Forensic Medicine and Toxicology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
F1000Res. 2024 Aug 20;13:544. doi: 10.12688/f1000research.145052.2. eCollection 2024.
Technology has completely transformed healthcare, starting with X-ray machines and MRIs to telehealth and robotic surgeries to e-health records. The launch of minimally invasive surgery (MIS) serves as a milestone in medical history, offering benefits such as smaller incisions, shorter hospital stays, and faster recovery, making it a preferred surgical option. This study mainly explores patients' willingness to adopt robot-assisted surgery (RAS) technology in a surgical intervention and is assessed in the backdrop of the Technology Acceptance Model (TAM).
This research project employs a post-positivist research philosophy and a cross-sectional research design. A structured, pre-tested questionnaire was used to collect data from 280 respondents.
The results revealed that trust had a significant impact on Perceived Usefulness (β = 0.099) and Perceived Ease of Use (β = .157), and eHealth literacy had a significant impact on Perceived Ease of Use (β = 0.438) and Perceived Usefulness (β = 0.454). Additionally, Perceived Usefulness partially influenced behavioral intention (β = 0.123), and attitude had a significant influence on behavioral intention (β = 0.612). The analysis revealed an insignificant impact of eHealth literacy on Perceived Usefulness (β = 0.067). The Standard Root Mean Square Residual (SRMR) value was <0.8. Mediation analysis also revealed partial mediation between the constructs. The SRMR rating of this model is 0.067, indicating that it fits the data well.
This study revealed that a patient's intention will be high if he or she believes that RAS is beneficial in treating his or her ailment. In comparison, information related to RAS is clearly known, and it does not directly affect selection intention. eHealth literacy is a significant antecedent to patients' behavioral intention. Hence, the healthcare industry must devise strategies to promote the acceptance of RAS at all levels.
科技彻底改变了医疗保健行业,从X光机、核磁共振成像到远程医疗、机器人手术再到电子健康记录。微创手术(MIS)的推出是医学史上的一个里程碑,它具有切口小、住院时间短、恢复快等优点,使其成为首选的手术方式。本研究主要探讨患者在手术干预中采用机器人辅助手术(RAS)技术的意愿,并在技术接受模型(TAM)的背景下进行评估。
本研究项目采用后实证主义研究哲学和横断面研究设计。使用一份经过预测试的结构化问卷从280名受访者那里收集数据。
结果显示,信任对感知有用性(β = 0.099)和感知易用性(β = 0.157)有显著影响,电子健康素养对感知易用性(β = 0.438)和感知有用性(β = 0.454)有显著影响。此外,感知有用性部分影响行为意向(β = 0.123),态度对行为意向有显著影响(β = 0.612)。分析显示电子健康素养对感知有用性的影响不显著(β = 0.067)。标准根均方残差(SRMR)值<0.8。中介分析还揭示了各构念之间的部分中介作用。该模型的SRMR评分为0.067,表明它与数据拟合良好。
本研究表明,如果患者认为机器人辅助手术对治疗其疾病有益,那么其意愿将会很高。相比之下,与机器人辅助手术相关的信息被清楚了解,但它并不直接影响选择意愿。电子健康素养是患者行为意向的一个重要前提。因此,医疗行业必须制定策略,在各个层面促进对机器人辅助手术的接受。