Inova Heart and Vascular Institute, Falls Church, Virginia.
Inova Office of Research, Fairfax, Virginia.
J Nurs Meas. 2020 Dec 1;28(3):439-454. doi: 10.1891/JNM-D-19-00092. Epub 2020 Nov 16.
Using remote visual monitoring (RVM) technology to observe patients at high risk for falls can effectively reduce falls and sitter costs. However, RVM is underutilized by direct care nurses. This study describes the development and testing of a new tool to measure nurses' acceptance of RVM technology.
The RVM Acceptance Tool (RVMAT) was tested among nurses recruited from a large health system.
Three factors accounted for 70.38% of the total variance: Value, Patient Selection, and Availability and Intent to Use. The overall 25-item scale had good internal consistency (Cronbach's alpha = .98).
The RVMAT is a theoretically grounded, valid, and reliable tool. Further research is needed to test its use in predicting nurses' acceptance and intent to incorporate new technology into daily nursing care.
使用远程视觉监测（RVM）技术观察高跌倒风险患者，可有效降低跌倒发生率和护理员成本。然而，直接护理护士对 RVM 的使用率较低。本研究旨在开发和测试一种新工具，以衡量护士对 RVM 技术的接受程度。
在从大型医疗系统招募的护士中测试远程视觉监测接受工具（RVMAT）。
三个因素占总方差的 70.38%：价值、患者选择以及可用性和使用意愿。25 个项目的整体量表具有良好的内部一致性（Cronbach's alpha =.98）。
RVMAT 是一种基于理论、有效且可靠的工具。需要进一步研究来测试其在预测护士接受度和将新技术纳入日常护理意愿方面的应用。
