BACKGROUND Students with complex health care services process face constant challenges with regard to health education. The mobile devices are an important tool that can install various applications for using information such as clinical guidelines, drug resources, clinical calculations, and the latest scientific evidence without any time and place limitations. And this happens only when students accept and use it. OBJECTIVE The purpose of this article is to identify the factors influencing students in their intention to use mobile health (mHealth) by using Unified Theory of Acceptance and Use of Technology (UTAUT) model. METHODS A standard questionnaire was used to collect the data from nearly 302 Lorestan University of medical science students including nutrition and public health, paramedicine, nursing and midwifery, pharmacy, dentistry, and medical schools. The data were processed using LISREL (Scientific Software International, Inc., Lincolnwood, Illinois) and SPSS (IBM Corp., Armonk, New York) softwares and the statistical analysis technique was based on structural equation modeling (SEM). RESULT A total of 300 questionnaires including valid responses were used in this study. The results showed that mediator of age did not affect the predictors of intention to use mHealth, and the level of education and gender directly affected the intention to use. In addition, effort expectancy, facilitating condition, and behavioral intention directly and indirectly have effect on use, whereas the result revealed no significant relationship between two important processes of performance expectancy and social influence with students' behavioral intention to use the mHealth. CONCLUSIONS The present study provides valuable information on mobile health acceptance factors for widespread use of this device among students of universities of medical sciences as a base infrastructure for a variety of information about health services and learning. Review and comparison of results with other studies showed that mHealth acceptance factors were different from other end users (elderly, patients, and health professionals).

中文翻译：

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使用UTAUT模型的医学生之间采用移动医疗应用程序的有效因素。

背景技术具有复杂卫生保健服务的学生在健康教育方面面临着不断的挑战。移动设备是一种重要的工具，可以安装各种应用程序以使用诸如临床指南，药物资源，临床计算和最新科学证据之类的信息，而不受时间和地点的限制。只有当学生接受并使用它时，这种情况才会发生。目的本文旨在通过使用统一的接受和技术使用理论（UTAUT）模型来确定影响学生使用移动医疗（mHealth）意图的因素。方法使用标准问卷调查表从洛尔斯坦大学（Lorestan University）的302名医学专业学生中收集了数据，包括营养与公共卫生，辅助医学，护理和助产，药学，牙科，和医学院。使用LISREL（科学软件国际公司，伊利诺伊州林肯伍德）和SPSS（IBM Corp.，Armonk，纽约）软件处理数据，并且统计分析技术基于结构方程模型（SEM）。结果本研究共使用了300份包括有效答案的问卷。结果表明，年龄的调解人并未影响使用mHealth的预测因素，而教育程度和性别直接影响了使用意向。此外，预期工作量，促进条件和行为意愿直接或间接地影响使用，而结果显示预期绩效和社会影响这两个重要过程与学生使用mHealth的行为意愿之间没有显着关系。结论本研究提供了关于移动健康接受因素的有​​价值的信息，这些信息对于在医学大学的学生中广泛使用该设备作为各种健康服务和学习信息的基础基础设施，具有重要意义。对其他研究结果的审查和比较表明，mHealth的接受因素与其他最终用户（老年人，患者和医疗专业人员）不同。