A study on students' acceptance of mobile phone use to seek health information in South Africa
A study on students' acceptance of mobile phone use to seek health information in South Africa
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DOI：
10.1177/1833358317706185
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发表时间：
2018-05-01
影响因子：
3.2
通讯作者：
Chinyamurindi, Willie Tafadzwa
中科院分区：
文献类型：
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作者：
Cilliers, Liezel;Viljoen, Kim Lee-Anne;Chinyamurindi, Willie Tafadzwa
背景：在南非，获得医疗保健信息的机会不公平，使许多资源有限的年轻人更容易受到健康风险的影响。由于移动电话在南非的高普及率以及这些设备在年轻人中的普及，移动电话为解决这一问题提供了独特的机会。目标：本研究旨在调查南非东开普省一所传统大学学生使用手机获取健康信息的情况。方法：采用横断面调查方法从 202 名大学生（58 名男性；104 名女性）中抽取信息，其中大多数（71.3%）年龄在 18 至 27 岁之间，为非洲黑人（75.2%）。技术接受和使用统一理论（UTAUT）框架构成了调查问卷的理论基础。我们开发了一个研究模型来测试以下假设：使用手机获取健康信息的行为意图会受到以下因素的影响：感知有用性（PU）、感知努力、社会影响力（SI）、对技术的态度（AT）和手机体验。结果：因子分析表明，研究模型解释了使用移动设备搜索健康相关查询的行为意图差异的 36%，其中 PU 是最大的预测因子，其次是移动体验、SI 和 AT。感知的努力并没有做出统计上显着的贡献。结论：使用手机向学生传播健康信息是一种有用、方便且具有成本效益的健康促进策略。这项研究丰富了有关 UTAUT 框架在研究技术采用方面的适用性的知识体系，并为指导移动医疗举措的未来研究和实施提供了有用的信息。
Background: In South Africa, inequitable access to healthcare information has made many young people with limited resources more vulnerable to health risks. Mobile phones present a unique opportunity to address this problem due to the high penetration of mobile phones in South Africa and the popularity of these devices among young adults. Objective: This research sought to examine the adoption of mobile phones to access health information among students at a traditional university in the Eastern Cape, South Africa. Method: A cross-sectional survey approach was used to collect information from a convenience sample of 202 university students (58 males; 104 females), the majority (71.3%) of whom were aged between 18 and 27 years and of Black African ethnicity (75.2%). The unified theory of acceptance and use of technology (UTAUT) framework formed the theoretical foundation for the questionnaire. A research model was developed to test the hypotheses that behavioural intention to use a mobile phone to access health information would be influenced by: perceived usefulness (PU), perceived effort, social influence (SI), attitude towards technology (AT) and mobile phone experience. Results: Factor analyses indicated that the research model explained 36% of the variance in behavioural intention to use mobile devices to search for health-related queries, with PU being the largest predictor, followed by mobile experience, SI, and AT. Perceived effort did not make a statistically significant contribution.Conclusion: Using mobile phones to disseminate health information to students is a useful, convenient, and cost-effective health-promotion strategy. This research has contributed to the body of knowledge concerning the applicability of the UTAUT framework to study the adoption of technology and provided useful information to guide future research and implementation of mHealth initiatives.