开发用于癫痫自我管理的移动健康应用:焦点小组讨论和研究结果的有效性

Iin Ernawati , Nanang Munif Yasin , Ismail Setyopranoto , Zullies Ikawati
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引用次数: 0

摘要

在当前的数字时代,移动卫生系统可以成为发展卫生服务的一个机会,特别是癫痫,预计这将有助于监测药物治疗的治疗管理。现在已经开始开发基于健康的流动干预措施,用于慢性病管理,包括管理压力、监测药物副作用、坚持使用药物以及癫痫患者的癫痫发作。为了创建移动医疗系统,不仅需要从文献中探索信息,还需要从专家和患者中探索信息。因此,本研究旨在研究移动医疗系统应用程序需要哪些功能/元素。本研究采用焦点小组讨论(FGD)的定性方法。对讨论过程进行逐字记录和转录,并采用专题分析和描述性解释方法对数据进行分析。此外,专家的内容效度也从文献和FGD中发现的特征或领域进行。FGD的结果显示,应用程序开发所需的功能包括患者资料、药物提醒、疾病和药物信息、药物记录、副作用/不良事件记录、癫痫发作频率和触发因素记录、应用程序外观和易于使用。根据专家的有效性内容,得到所有领域和特征的(项目内容验证指数)I-CVI值>;0.79,可接受。总之,这些数据可用于开发癫痫患者移动卫生系统应用程序的设计和功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a mobile health application for epilepsy self-management: Focus group discussion and validity of study results
Mobile health systems in the current digital era can be an opportunity for the development of health services, especially epilepsy, which is expected to help therapy management in monitoring drug therapy. Mobile health-based interventions have now begun to be developed for chronic disease management in managing stress, monitoring drug side effects, adherence to drug use, and seizures in epilepsy patients. To create the mobile health system, it is necessary to explore information not only from the literature but also from experts and patients. Therefore, this study aimed to examine what features/elements are needed in the mobile health system application. This study used a qualitative methodology with focus group discussion (FGD). The discussion process was recorded and transcribed verbatim, and the data was analyzed using thematic analysis with a descriptive interpretation approach. In addition, content validity by experts was also carried out from features or domains found in the literature and during FGD. The results of the FGD showed that the features needed for application development include patient profiles, drug reminders, information about diseases and drugs, medication records, side effects/adverse events records, records of frequency and triggers of seizures, application appearance, and ease of use. Based on the validity content by experts, all domains and features obtained (Items Content Validation Index) I-CVI values > 0.79 and were acceptable. In conclusion, this data can be used to develop the design and features of mobile health system applications for epilepsy patients.
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