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Assessment of a medical information system: the mediating role of use and user satisfaction on the success of human interaction with the mobile healthcare system (iHeart)
Cognition, Technology & Work ( IF 2.4 ) Pub Date : 2019-05-07 , DOI: 10.1007/s10111-019-00565-4
Pantea Keikhosrokiani , Norlia Mustaffa , Nasriah Zakaria , Rosni Abdullah

iHeart is a mobile healthcare system which monitors and tracks patients with hypertension and arrhythmia. This empirical study aims to assess the interaction between human and iHeart. In line with this, a survey was conducted among healthcare professional in two cities of Isfahan and Penang to find how intention to “Use” of iHeart and “User satisfaction” conveys the role of effective factors [Information Quality (IQ), Service Quality (SQ), System Quality (SysQ), Trust (Tr), Anxiety (Ax), and mHealth Literacy (mHL)] to the “Success of Human Interaction (SHI)” with iHeart. The total number of 323 respondents returned the questionnaire. Using DeLone and McLean IS success model, a conceptual model was developed to identify the mediating effects of “Use” and “User satisfaction”. Covariance-based structural equation modelling was applied for data analysis using the statistical software AMOS. In this study, mediation effect was examined in three different methods including Baron and Kenny, Sobel test, and Bootstrapping technique. The most reliable results are from bootstrapping technique, which indicate that “Use” mediates the effects of SysQ, Tr, and mHL on SHI. In addition, “User satisfaction” is a mediator between SysQ, SQ, and mHL with SHI. Ultimately, IQ has direct effect on SHI without involvement of mediator.

中文翻译:

医疗信息系统评估:使用和用户满意度对人类与移动医疗保健系统(iHeart)交互成功的中介作用

iHeart 是一种移动医疗保健系统,用于监测和跟踪患有高血压和心律失常的患者。这项实证研究旨在评估人类与 iHeart 之间的互动。为此,在伊斯法罕和槟城两个城市的医疗保健专业人士中进行了一项调查,以了解“使用”iHeart 和“用户满意度”的意图如何传达有效因素 [信息质量 (IQ)、服务质量 ( SQ)、系统质量 (SysQ)、信任 (Tr)、焦虑 (Ax) 和移动健康素养 (mHL)] 与 iHeart 实现“人类互动 (SHI)”的成功。共有 323 名受访者返回了问卷。使用 DeLone 和 McLean IS 成功模型,开发了一个概念模型来识别“使用”和“用户满意度”的中介效应。使用统计软件 AMOS 将基于协方差的结构方程模型应用于数据分析。在本研究中,中介效应通过三种不同的方法进行检验,包括 Baron 和 Kenny、Sobel 检验和 Bootstrapping 技术。最可靠的结果来自自举技术,这表明“使用”介导了 SysQ、Tr 和 mHL 对 SHI 的影响。此外,“用户满意度”是 SysQ、SQ 和 mHL 与 SHI 之间的中介。最终,IQ 对 SHI 有直接影响,无需中介参与。此外,“用户满意度”是 SysQ、SQ 和 mHL 与 SHI 之间的中介。最终,IQ 对 SHI 有直接影响,无需中介参与。此外,“用户满意度”是 SysQ、SQ 和 mHL 与 SHI 之间的中介。最终,IQ 对 SHI 有直接影响,无需中介参与。
更新日期:2019-05-07
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