Harvey Philip D, Keefe Richard S E, Kallestrup Peter, Czaja Sara J, Klein Hans, Horan William
University of Miami Miller School of Medicine, Miami, FL, United States of America.
I-Function, Miami, FL, United States of America.
Schizophr Res Cogn. 2024 Sep 24;39:100331. doi: 10.1016/j.scog.2024.100331. eCollection 2025 Mar.
Decentralized clinical trials are leading to rapid changes in assessment technology, including an expansion of interest in remote delivery. As technology changes, some of the updates include migration to fully cloud-based software and data management, with attendant differences in hardware, response modalities, and modifications in the level of tester engagement. It is rare to see systematic descriptions of the process of migration and upgrading of technology-related assessments. We present comparative data on successive generations of two widely used functional capacity measures, the Virtual Reality Functional Capacity Assessment Tool (VRFCAT) and the Functional Capacity Assessment and Training System (FUNSAT). Four samples of healthy older individuals completed either the original device-resident, computer-administered versions, or cloud-based, tablet-delivered versions of these tasks. For the VRFCAT, performance and correlations with age were similar across versions, although performance was slightly (5 %) faster with iPad delivery. For the FUNSAT, performance and correlations with age and cognitive task scores were generally similar across versions for English Speakers, though there were some differences related to the testing language for the cloud-based version. These results support the feasibility of migrating digital assessments to cloud-based delivery and substantiate fundamental similarity across delivery strategies.
去中心化临床试验正在促使评估技术迅速变革,包括对远程交付的兴趣不断扩大。随着技术的变化,一些更新包括向完全基于云的软件和数据管理迁移,随之而来的是硬件、响应方式的差异以及测试人员参与程度的改变。很少能看到对技术相关评估的迁移和升级过程进行系统描述。我们展示了关于两代广泛使用的功能能力测量工具的比较数据,即虚拟现实功能能力评估工具(VRFCAT)和功能能力评估与训练系统(FUNSAT)。四组健康老年人样本分别完成了原始的设备驻留式、计算机管理版本,或基于云的、平板电脑交付版本的这些任务。对于VRFCAT,各版本的表现以及与年龄的相关性相似,不过通过iPad交付时表现略快(5%)。对于FUNSAT,以英语为母语者各版本的表现以及与年龄和认知任务分数的相关性总体相似,不过基于云的版本在测试语言方面存在一些差异。这些结果支持了将数字评估迁移到基于云的交付方式的可行性,并证实了不同交付策略之间的基本相似性。