TY -的盟雅达,妮可AU -头,米PY - 2019 DA - 2019/12/4 TI -虚拟实践社区卫生保健的态度:对卫生保健工作者的调查乔- J地中海互联网Res SP - e15176六世- 21 - 12 KW——虚拟社区实践KW -电子健康KW -数字医疗KW -知识翻译KW——实现科学KW -详尽可能性模型KW -技术采用AB -背景:虚拟实践社区(vcop)已被证明是获取知识和研究的有效手段，但人们对卫生保健工作者选择使用它们的原因知之甚少。阐述可能性模型(ELM)是一种说服理论模型，它区分了影响态度形成和改变的信息加工的不同途径。迄今为止，还没有研究调查在医疗保健环境中vcop的这些处理途径的前因。在了解这些决定因素后，可以适当地设计vcop，以增加其在卫生保健专业人员中的使用机会和价值。目的:我们的目的是探讨动机和能力如何影响在卫生保健工作人员使用VCoPs的态度。方法:通过两次加拿大卫生保健会议的在线调查，收集86名卫生保健工作者的数据。研究人员向参与者展示了一个模拟的VCoP，并询问他们对在线平台和相关技术的看法。调查工具是根据先前验证的量表开发的，用于测量参与者使用VCoP的能力和动机。在研究开始和结束时都对态度进行了评估; intention to use the platform was assessed at the end. Results: Ability (expertise with CoPs and VCoPs) was found to directly affect intention to use the system (P<.001 and P=.009, respectively) as was motivation (P<.001). Argument quality had the greatest effect on formed attitudes toward VCoPs, regardless of the user’s level of experience (lower expertise: P=.04; higher expertise: P=.003). Those with higher levels of CoPs expertise were also influenced by peripheral cues of source credibility (P=.005 for attitude formation and intention to use the system) and connectedness (P=.04 for attitude formation; P=.008 for intention to use the system), whereas those with lower levels of CoP expertise were not (P>.05). A significant correlation between formed attitude and intention to use the VCoPs system was found for those with higher levels of expertise (P<.001). Conclusions: This research found that both user ability and motivation play an important and positive role in the attitude toward and adoption of health care VCoPs. Unlike previous ELM research, evidence-based arguments were found to be an effective messaging tactic for improving attitudes toward VCoPs for health care professionals with both high and low levels of expertise. Understanding these factors that influence the attitudes of VCoPs can provide insight into how to best design and position such systems to encourage their effective use among health care professionals. SN - 1438-8871 UR - //www.mybigtv.com/2019/12/e15176 UR - https://doi.org/10.2196/15176 UR - http://www.ncbi.nlm.nih.gov/pubmed/31799934 DO - 10.2196/15176 ID - info:doi/10.2196/15176 ER -