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首页> 外文期刊>International medical journal: IMJ >Determinants of E-Health Readiness of End-Users
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Determinants of E-Health Readiness of End-Users

机译：最终用户的电子保健准备情况的决定因素

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Objective: To identify and model the determinants of e-health readiness of end-users. Design and methodology: The empirical study, conducted in Turkey, first considers the factors affecting online application usage behavior in general, and then the health specific factors together with online application usage behavior affecting e-health readiness. The questionnaire is developed based on previous researches and theories as well as interviews with e-health experts and is modified according to a pilot study applied to ten end-users. It is administered to a total of 350 Internet users and a total of 324 usable data are collected. Data are analyzed using SPSS 18.0. Reliability analysis (Cronbach's alpha and item total correlation) is applied to test internal consistency of the questionnaire. Regression analysis is used to estimate the unique effect of different factors on e-health readiness of end-users. Results: The reliability of the questionnaire is high since all of the Cronbach's alpha values are greater than 0.7. The user group can be specified as young (82.1% of age less than 35) and frequent user of Internet (85.2%). Regression analysis results indicate that overall model is statistically significant. Online application usage behavior, attitudes about personal health data privacy and beliefs about health services determine e-health readiness whilst online application usage behavior is affected by the factors age, education level, internet usage and life attitudes. Conclusion: This study shows that the specified model can be used by managers of health services providers to improve their online services.
机译：目的：确定并建模最终用户电子卫生状况的决定因素。设计和方法：在土耳其进行的实证研究首先考虑了总体上影响在线应用程序使用行为的因素，然后考虑了特定于健康的因素以及影响电子卫生就绪的在线应用程序使用行为。该问卷是根据以前的研究和理论以及对电子医疗专家的访谈而开发的，并根据针对十个最终用户的试点研究进行了修改。总共对350个Internet用户进行了管理，并收集了324个可用数据。使用SPSS 18.0分析数据。进行可靠性分析（Cronbach的alpha和项目总相关）来测试问卷的内部一致性。回归分析用于估计不同因素对最终用户的电子卫生准备程度的独特影响。结果：问卷的可靠性很高，因为所有Cronbach的alpha值都大于0.7。可以将用户组指定为年轻人（年龄在35岁以下的占82.1％）和互联网的频繁用户（占85.2％）。回归分析结果表明，总体模型具有统计学意义。在线应用程序的使用行为，对个人健康数据隐私的态度以及对健康服务的信念决定了电子医疗的就绪状态，而在线应用程序的使用行为则受年龄，教育程度，互联网使用率和生活态度等因素的影响。结论：该研究表明，卫生服务提供者的经理可以使用指定的模型来改善其在线服务。

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