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确立健康信息技术可用性评估量表(Health-ITUES)的可用性临界点。

Establishing a usability cut-point for the health information technology usability evaluation scale (Health-ITUES).

机构信息

Division of Hematology/Oncology, Department of Medicine, James P Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY, USA.

School of Nursing, Columbia University, NY, USA.

出版信息

Int J Med Inform. 2022 Apr;160:104713. doi: 10.1016/j.ijmedinf.2022.104713. Epub 2022 Feb 5.

DOI:10.1016/j.ijmedinf.2022.104713
PMID:35144102
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8903058/
Abstract

OBJECTIVE

The Health Information Technology Usability Evaluation Scale (Health-ITUES) is a validated and reliable instrument to evaluate usability of information technology (IT) tools. In this study, we aimed to establish the optimal cut-point of the Health-ITUES to identify usability of IT tools.

METHODS

Adult participants were recruited to a trial evaluating a mobile app for self-managing HIV. Participants completed the Health-ITUES at the 3- and 6-month follow-up. Health-ITUES is a 20-item questionnaire that assesses four subscales: impact, perceived usefulness, perceived ease of use, and user control. The total score ranged from 1 to 5 and a higher score indicates greater usability. App use was defined as the proportion of activities completed by participants in both study arms. The selection of an optimal cut-point involved a series of multiple linear regression models with 500 bootstrap replications to examine the relationship between the Health-ITUES total score and app use, controlling for potential covariates.

RESULTS

We included 158 participants; mean age was 49.7 years (SD 10.3), 71% were African American/Black, and 72% were non-Hispanic. Mean Health-ITUES total scores at 3 and 6 months were 4.39 (SD 0.75) and 4.43 (SD 0.75), respectively. App use completedby participants from baseline to the 3-month follow-up visits was 0.61 (SD 0.36, range 0-1.72) and from 3-month to the 6-month follow-up visits was 0.51 (SD 0.37). Participants who reported greater Health-ITUES total score completed more activities [β = 0.18, 95% Confidence Interval (CI) 0.10-0.27]. The optimal cut-point of 4.32 (95% CI: 4.25-4.56) yielded the lowest p-value to identify usability of IT tools.

CONCLUSIONS

In this study of adults with HIV, we identified an optimal cut-point of 4.32 on the Health-ITUES total score to define usability. Further studies are needed to validate this cut-point.

摘要

目的

健康信息技术可用性评估量表(Health-ITUES)是一种经过验证和可靠的工具,可用于评估信息技术(IT)工具的可用性。本研究旨在确定 Health-ITUES 的最佳切点,以确定 IT 工具的可用性。

方法

招募参加评估用于自我管理 HIV 的移动应用程序的试验的成年参与者。参与者在 3 个月和 6 个月的随访时完成 Health-ITUES。Health-ITUES 是一个包含 20 个项目的问卷,评估四个子量表:影响、感知有用性、感知易用性和用户控制。总分为 1 到 5 分,分数越高表示可用性越高。应用程序的使用定义为参与者在两个研究臂中完成的活动比例。最佳切点的选择涉及一系列具有 500 次自举复制的多元线性回归模型,以检查 Health-ITUES 总分与应用程序使用之间的关系,同时控制潜在的协变量。

结果

我们纳入了 158 名参与者;平均年龄为 49.7 岁(标准差 10.3),71%为非裔美国人/黑人,72%为非西班牙裔。3 个月和 6 个月时的 Health-ITUES 总分分别为 4.39(标准差 0.75)和 4.43(标准差 0.75)。参与者从基线到 3 个月随访期间完成的应用程序使用量为 0.61(标准差 0.36,范围 0-1.72),从 3 个月随访到 6 个月随访期间为 0.51(标准差 0.37)。报告 Health-ITUES 总分较高的参与者完成了更多的活动[β=0.18,95%置信区间(CI)0.10-0.27]。最佳切点为 4.32(95%CI:4.25-4.56),可识别出 IT 工具的可用性,其 p 值最低。

结论

在这项针对 HIV 成人的研究中,我们确定了 Health-ITUES 总分的最佳切点为 4.32,以确定可用性。需要进一步的研究来验证这一切点。

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