Ph.D. of Higher Education Administration and Msc in Medical Education, Associate Professor, Department of E-Learning in Medical Sciences, Virtual School and Center of Excellence in E-Learning, Shiraz University of Medical Sciences, Shiraz, Iran.
MSc of e-Learning in Medical Sciences, Virtual School and Center of Excellence in E-Learning, Shiraz University of Medical Sciences, Shiraz, Iran.
BMC Public Health. 2024 Jan 10;24(1):139. doi: 10.1186/s12889-023-17400-1.
Individuals vary in their selection of health messengers. This research aimed to construct an instrument to measure the preferences of medical students in selecting health messengers and in the next step to validate the aforementioned questionnaire.
This research is a descriptive survey with an approach to construct a questionnaire. The statistical population included all students studying at Shiraz University of Medical Sciences in March to June 2022 in the academic year 2021-2022. 500 participants were involved in the study. To determine the types of health messengers and review the texts, a group of 15 primary items consisting of the 6 components of academic sources (2-items), formal news sources (2-items), mass media (3-items), internet search (2-items), social networks and messenger applications (4-items), and informal conversation (2-items) were compiled. A 4-point scale was developed the content validity of which was confirmed using CVI and CVR method and the reliability index was calculated to be 0.818. Factor analysis was also used to determine the construct validity and factor loading of each item.
The research covers university students in different medical fields. Using factor analysis, together with KMO = 0.810 and Bartlett's sphericity index P < 0.0001, saturation and the suitability of the test were confirmed. Students' preferences based on factor load were social media (28.92%), official and unofficial health sources(10.76%), academic sources (9.08%), internet search (8.18%), and mass media (7.13%), respectively. Among social media, Telegram (0.85) had the highest factor load followed by Instagram (0.79), and WhatsApp (0.71).
Medical students are always on the move and naturally prioritize mobile-based methods. They prefer messengers that are free from time and space restrictions. The widespread availability of mobile devices and the ability to search for and access information make it easier to test health information. Therefore, in health policy, attention should be paid to the virtual capabilities, especially mobile-based approaches.
个人在选择健康信息传播者方面存在差异。本研究旨在构建一种衡量医学生选择健康信息传播者偏好的工具,并在下一步验证上述问卷。
本研究是一项描述性调查,采用构建问卷的方法。统计人群包括 2021-2022 学年 2022 年 3 月至 6 月在 Shiraz 医科大学学习的所有学生。共有 500 名参与者参与了这项研究。为了确定健康信息传播者的类型并审查文本,我们编制了一组由 6 个组成部分的 15 个主要项目:学术资源(2 项)、正规新闻来源(2 项)、大众媒体(3 项)、互联网搜索(2 项)、社交网络和消息应用程序(4 项)和非正式对话(2 项)。开发了一个 4 点量表,使用 CVI 和 CVR 方法确定其内容有效性,可靠性指数计算为 0.818。还使用因子分析来确定每个项目的结构有效性和因子负荷。
该研究涵盖了不同医学领域的大学生。使用因子分析,结合 KMO=0.810 和 Bartlett 的球形度指数 P<0.0001,证实了饱和度和测试的适用性。根据因子负荷,学生的偏好依次为社交媒体(28.92%)、官方和非官方健康来源(10.76%)、学术资源(9.08%)、互联网搜索(8.18%)和大众媒体(7.13%)。在社交媒体中,Telegram(0.85)的因子负荷最高,其次是 Instagram(0.79)和 WhatsApp(0.71)。
医学生总是在行动,自然而然地优先考虑基于移动的方法。他们更喜欢不受时间和空间限制的信使。移动设备的广泛可用性和搜索及获取信息的能力使测试健康信息变得更加容易。因此,在卫生政策中,应重视虚拟能力,特别是基于移动的方法。