Establishing a usability cut-point for the health information technology usability evaluation scale (Health-ITUES).
Establishing a usability cut-point for the health information technology usability evaluation scale (Health-ITUES).
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DOI：
10.1016/j.ijmedinf.2022.104713
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发表时间：
2022-04
影响因子：
4.9
通讯作者：
Schnall R
中科院分区：
文献类型：
--
作者：
Loh KP;Liu J;Ganzhorn S;Sanabria G;Schnall R
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. 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 1–5 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. 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 completed by participants from baseline to the 3-month follow-up visit 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% Confidence Interval (CI): 4.25–4.56] yielded the lowest p-value to identify usability of IT tools. 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.
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影响因子：
5
作者：
Akdur G;Aydin MN;Akdur G
通讯作者：
Akdur G
DOI：
10.1016/j.ijmedinf.2018.11.012
发表时间：
2019-02-01
影响因子：
4.9
作者：
Beauchemin, Melissa;Gradilla, Melissa;Schnall, Rebecca
通讯作者：
Schnall, Rebecca
影响因子：
7.3
作者：
DAVIS, FD
通讯作者：
DAVIS, FD
用于移动卫生技术可用性评估的健康信息技术可用性评估量表（健康税）：验证研究。
影响因子：
5
作者：
Schnall R;Cho H;Liu J
通讯作者：
Liu J
影响因子：
2.8
作者：
Loh KP;Ramsdale E;Culakova E;Mendler JH;Liesveld JL;O'Dwyer KM;McHugh C;Gilles M;Lloyd T;Goodman M;Klepin HD;Mustian KM;Schnall R;Mohile SG
通讯作者：
Mohile SG