Wang Ellen Y, Kennedy Kristin M, Zhang Lijin, Qian Daniel, Forbes Ty, Zuniga-Hernandez Michelle, Li Brian S-K, Domingue Benjamin, Caruso Thomas J
Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, United States.
Stanford University School of Medicine, Stanford, CA, United States.
JAMIA Open. 2023 Aug 31;6(3):ooad076. doi: 10.1093/jamiaopen/ooad076. eCollection 2023 Oct.
The primary aim of this study was to apply a novel technology acceptance model (TAM) for virtual reality (VR) in healthcare. The secondary aim was to assess reliability of this model to evaluate factors that predict the intentions of pediatric health providers' use of VR as an anxiolytic for hospitalized pediatric patients.
Healthcare providers that interacted with pediatric patients participated in a VR experience available as anxiolysis for minor procedures and then completed a survey evaluating attitudes, behaviors, and technology factors that influence adoption of new technologies.
Reliability for all domain measurements were good, and all confirmatory factor analysis models demonstrated good fit. Usefulness, ease of use, curiosity, and enjoyment of the VR experience all strongly predict intention to use and purchase VR technologies. Age of providers, past use, and cost of technology did not influence future purchase or use, suggesting that VR technologies may be broadly adopted in the pediatric healthcare setting.
Previous VR-TAM models in non-healthcare consumers formulated that age, past use, price willing to pay, and curiosity impacted perceived ease of use. This study established that age, past use, and cost may not influence use in healthcare. Future studies should be directed at evaluating the social influences and facilitating conditions within healthcare that play a larger influence on technology adoption.
The VR-TAM model demonstrated validity and reliability for predicting intent to use VR in a pediatric hospital.
本研究的主要目的是将一种新颖的虚拟现实（VR）技术接受模型（TAM）应用于医疗保健领域。次要目的是评估该模型的可靠性，以评估预测儿科医疗服务提供者将VR用作住院儿科患者抗焦虑药物的意图的因素。
与儿科患者互动的医疗服务提供者参与了一种VR体验，该体验可用于小型手术的抗焦虑治疗，然后完成一项调查，评估影响新技术采用的态度、行为和技术因素。
所有领域测量的可靠性良好，所有验证性因素分析模型均显示拟合良好。VR体验的有用性、易用性、好奇心和趣味性都强烈预测使用和购买VR技术的意图。提供者的年龄、过去的使用情况和技术成本不会影响未来的购买或使用，这表明VR技术可能会在儿科医疗环境中广泛采用。
之前针对非医疗消费者的VR-TAM模型表明，年龄、过去的使用情况、愿意支付的价格和好奇心会影响感知易用性。本研究表明，年龄、过去的使用情况和成本可能不会影响在医疗保健中的使用。未来的研究应致力于评估对技术采用有更大影响的医疗保健中的社会影响和促进条件。
VR-TAM模型在预测儿科医院使用VR的意图方面表现出有效性和可靠性。
