确定医疗领域移动增值服务的组成部分:定性方法

Mohammad Reza Ahmadi Varzaneh, Ali Rashidpour, Hamid Reza Peikari, Amir Reza Naghsh
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引用次数: 0

摘要

背景。考虑到手机在生活中的广泛影响及其各种功能,在治疗和健康领域使用手机的增值服务是必要的。这项研究的目的是确定和分类影响在保健领域使用移动增值服务的因素。方法。本定性研究采用专题分析方法。从科学数据库中提取了74篇文章。其次,采用主题分析法对51篇相关文章进行了全面综述。然后,提取基本主题、组织主题和包容性主题,实现模型。根据各组成部分与健康领域移动增值服务模式的关联度,专家对研究的有效性进行了验证。信度系数为97%,具有较高的信度。结果。基于对文章的回顾和分析,最终模型包括64个基本主题(添加主题)、16个组织主题(理解利益、理解福祉、用户价值、客户成果、社区成果、组织成果、技术基础设施、减少对技术的恐惧、学习和发展、职业因素、支持和激励、技术可靠性、人的可靠性、风险降低、态度和期望)、以及六个全球主题(用户理解、影响和后果、技术发展、环境影响条件、可靠性、心态和期望)。结论。根据本研究确定的因素,政策制定者和卫生管理人员可以对在卫生领域使用移动增值服务进行正确的规划。
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Identifying the Components of Mobile Value-Added Services in Health: A Qualitative Approach
Background. Considering the widespread influence of mobile phones in life and its various features, it is necessary to use value-added services of mobile phones in the field of treatment and health. This study aimed to identify and categorize the factors affecting the use of mobile value-added services in the field of health. Methods. This qualitative research was conducted using thematic analysis. A total of 74 articles were extracted from scientific databases. Next, 51 related articles were fully reviewed using thematic analysis method. After that, basic, organizing, and inclusive themes were extracted, and the model was implemented. Validity of the research was confirmed by experts according to the degree of connection between the components and the mobile value-added services model in the field of health. The reliability coefficient was 97%, which indicated a high reliability. Results. Based on the review and analysis of the articles, the final model consisted of 64 basic themes (add themes), 16 organizing themes (understanding benefits, understanding well-being, user values, customer outcomes, community outcomes, organizational outcomes, technology infrastructure, reducing fear of technology, learning and development, occupational factors, support and incentives, technical reliability, human reliability, risk reduction, attitude, and expectation), and six global themes (user understanding, effects and consequences, technology development, environmental influencing conditions, reliability, and mindset and expectations). Conclusion. According to the factors identified in this research, policy makers and health managers can have the right planning for the use of mobile value-added services in the field of health.
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