Migration of digital functional capacity assessments from device resident to cloud-based delivery: Development and convergent validity

IF 2.3 Q2 PSYCHIATRY Schizophrenia Research-Cognition Pub Date : 2024-09-24 DOI:10.1016/j.scog.2024.100331
Philip D. Harvey , Richard S.E. Keefe , Peter Kallestrup , Sara J. Czaja , Hans Klein , William Horan
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Abstract

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.
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将数字功能能力评估从常驻设备迁移到云端交付:开发与收敛有效性
分散式临床试验正导致评估技术的快速变化,包括对远程交付的兴趣不断扩大。随着技术的变化,一些更新包括迁移到完全基于云的软件和数据管理,随之而来的是硬件、响应模式和测试人员参与程度的变化。很少看到对技术相关评估的迁移和升级过程进行系统的描述。我们展示了两款广泛使用的功能能力测量工具--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)--的历代比较数据。四个健康老年人样本完成了这些任务的原始设备驻留、计算机管理版本或基于云的平板电脑版本。就 VRFCAT 而言,不同版本的成绩和与年龄的相关性相似,但 iPad 版本的成绩略快一些(5%)。就 FUNSAT 而言,不同版本的英语测试成绩以及与年龄和认知任务得分的相关性基本相似,但云端版本的测试语言存在一些差异。这些结果支持了将数字评估迁移到云端交付的可行性,并证实了不同交付策略的基本相似性。
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来源期刊
CiteScore
5.60
自引率
10.70%
发文量
54
审稿时长
67 days
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