相关实验视频
Updated: Jul 13, 2026

10:32
Development of a Virtual Reality Assessment of Everyday Living Skills
Published on: April 23, 2014
18.5K
评估远程培训,在家测试和对集群虚拟现实周长度的新型测试的测试-重新测试变量
Zer Keen Chia1, Alan W Kong1, Marcus L Turner1
1Department of Ophthalmology, UCSF School of Medicine, San Francisco, California.
Ophthalmology. Glaucoma
|August 24, 2023
概括
远程虚拟现实视觉现场测试可在家中为玻璃眼患者进行. 活视觉周边测试 (VVP-10) 测试显示出低可变性和与标准周边测试的良好相关性,这表明视觉功能评估的可行补充.
科学领域:
- 眼科医生 眼科 眼科
- 医疗技术 医疗技术 医学技术
- 数字健康数字健康
背景情况:
- 青光眼的管理需要定期视野 (VF) 测试.
- 传统的周边测量可以耗时,需要对诊所进行访问.
- 需要基于家庭的测试解决方案来提高患者的便利性和遵守性.
研究的目的:
- 评估远程培训的可行性,让绿眼病患者在家中进行虚拟现实 (VR) 视觉场测试.
- 为了分析生动视觉周边测试 (VVP-10) 测试的测试-重新测试可变性.
- 评估VVP-10结果与常规周边测量 (汉弗里场分析仪 - HFA) 的一致性.
主要方法:
- 一项涉及21名青光眼患者的横截面研究.
- 参与者通过视频会议接受远程培训,用于VVP-10测试.
- 在14天内,在家中完成了VVP-10的10个会议.
- 通过成功独立完成测试系列来衡量可行性.
- 类内相关系数 (ICC) 和标准误差 (SE) 评估了测试-重新测试的可变性.
- 斯皮尔曼相关性评估一致性与HFA平均灵敏度 (MS).
主要成果:
- 95% (20/21) 的受试者在一次远程培训课程后成功完成了VVP-10测试系列.
- 观察到高的测试重试可靠性,ICC为0.95.
- 低平均SE值为0.012 (可见的部分) 表示一致的结果.
- 在VVP-10和HFAMS之间发现了强烈的相关性 (斯皮尔曼r = 0.87对于中度至高级的眼睛眼睛).
结论:
- 对于玻璃眼患者来说,远程训练和在家执行VVP-10测试是可行的.
- 在家庭环境中,VVP-10表现出较低的测试延期变化.
- VVP-10显示出作为一种可行的补充或替代临床外围测试的潜在潜力,用于对青光眼的视觉功能评估.
相关概念视频
Reliability and Validity
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
Multiple Comparison Tests
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Quality Assurance
Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...

