PDF(Pubmed)
Abstract：
BACKGROUND: Epilepsy requires continuous management and treatment to optimize patient outcomes. The advancement of digital health has led to the development of various mobile health (mHealth) tools designed to enhance treatment adherence among individuals with epilepsy. These solutions offer crucial support through features such as reminders, educational resources, personalized feedback, assistance with managing costs, shared decision-making, and access to supportive communities. To design effective medication adherence mHealth solutions, it is essential to evaluate the effectiveness of existing mHealth tools, understand the unique circumstances of different patients, and identify the roles of health care professionals within the digital care pathway. Existing studies on epilepsy primarily focus on self-management, whereas the effectiveness and usability of medical adherence mHealth solutions often remain overlooked. Furthermore, the involvement of health care professionals in digital care pathways for epilepsy as well as the impact of adherence mHealth solutions on the patient experience have not been adequately explored.
OBJECTIVE: This study aims to assess the effectiveness of current mHealth solutions designed to improve medical adherence among patients with epilepsy. Furthermore, the study will examine the experiences of patients using mHealth solutions for maintaining medical adherence in epilepsy care. Finally, this review intends to determine the roles of health care professionals within mHealth systems aimed at supporting adherence to medication among patients with epilepsy.
METHODS: A systematic literature review has been selected as the appropriate method to address the research questions, adhering to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The inclusion and exclusion criteria have been carefully selected, and both qualitative and quantitative analyses will be used to analyze the results. The expected results will mainly focus on the comparison, classification, and analysis of the effectiveness of current medical adherence mHealth tools. Moreover, the patient experiences using available medical adherence mHealth tools for epilepsy will be assessed. Finally, the role of health care professionals in the epilepsy digital care pathway will be explored, with emphasis on medical adherence.
RESULTS: The initial search, full-text screening, and data extraction have been carried out. Thirty-three papers were included in the final stage of the review. The study is expected to be completed by October 2024.
CONCLUSIONS: To enhance the digital care pathway for epilepsy, a medical adherence mHealth solution should be personalized, manage medications, include an alarm system, track seizures, support consultations, and offer updated treatment plans. This study aims to understand how findings from the research questions can improve mHealth solutions for individuals with epilepsy. Insights from this research on the effectiveness of current mHealth adherence solutions will provide guidance for developing future mHealth systems, making them more efficient and effective in managing epilepsy.
BACKGROUND: PROSPERO CRD4202347400; https://tinyurl.com/48mfx22e.
UNASSIGNED: DERR1-10.2196/55123.
OBJECTIVE: This study aims to assess the effectiveness of current mHealth solutions designed to improve medical adherence among patients with epilepsy. Furthermore, the study will examine the experiences of patients using mHealth solutions for maintaining medical adherence in epilepsy care. Finally, this review intends to determine the roles of health care professionals within mHealth systems aimed at supporting adherence to medication among patients with epilepsy.
METHODS: A systematic literature review has been selected as the appropriate method to address the research questions, adhering to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The inclusion and exclusion criteria have been carefully selected, and both qualitative and quantitative analyses will be used to analyze the results. The expected results will mainly focus on the comparison, classification, and analysis of the effectiveness of current medical adherence mHealth tools. Moreover, the patient experiences using available medical adherence mHealth tools for epilepsy will be assessed. Finally, the role of health care professionals in the epilepsy digital care pathway will be explored, with emphasis on medical adherence.
RESULTS: The initial search, full-text screening, and data extraction have been carried out. Thirty-three papers were included in the final stage of the review. The study is expected to be completed by October 2024.
CONCLUSIONS: To enhance the digital care pathway for epilepsy, a medical adherence mHealth solution should be personalized, manage medications, include an alarm system, track seizures, support consultations, and offer updated treatment plans. This study aims to understand how findings from the research questions can improve mHealth solutions for individuals with epilepsy. Insights from this research on the effectiveness of current mHealth adherence solutions will provide guidance for developing future mHealth systems, making them more efficient and effective in managing epilepsy.
BACKGROUND: PROSPERO CRD4202347400; https://tinyurl.com/48mfx22e.
UNASSIGNED: DERR1-10.2196/55123.
摘要：
背景：癫痫需要持续管理和治疗以优化患者预后。数字健康的进步导致了各种移动健康（mHealth）工具的开发，旨在提高癫痫患者的治疗依从性。这些解决方案通过提醒、教育资源,个性化反馈，协助管理成本，共同决策，和获得支持性社区。为了设计有效的药物依从性mHealth解决方案，评估现有移动健康工具的有效性至关重要，了解不同患者的独特情况，并确定数字护理途径中医疗保健专业人员的角色。关于癫痫的现有研究主要集中在自我管理上，而医疗依从性的有效性和可用性mHealth解决方案往往被忽视。此外，医疗保健专业人员参与癫痫数字化护理途径的情况以及mHealth解决方案对患者体验的影响尚未得到充分探讨.
目的：本研究旨在评估旨在提高癫痫患者医疗依从性的当前mHealth解决方案的有效性。此外，该研究将研究患者使用mHealth解决方案在癫痫治疗中保持医疗依从性的经验。最后,本综述旨在确定医疗专业人员在mHealth系统中的作用,旨在支持癫痫患者的服药依从性.
方法：选择了系统的文献综述作为解决研究问题的适当方法，遵守PRISMA（系统审查和荟萃分析的首选报告项目）指南。纳入和排除标准经过精心挑选,定性和定量分析将用于分析结果。预期结果将主要集中在比较上，分类，并分析当前医疗依从性mHealth工具的有效性。此外，将评估患者使用现有医疗依从性mHealth工具治疗癫痫的经验.最后,将探讨医疗保健专业人员在癫痫数字化护理途径中的作用，强调医疗依从性。
结果：最初的搜索，全文筛选,并进行了数据提取。审查的最后阶段包括了33篇论文。该研究预计将于2024年10月完成。
结论：为了加强癫痫的数字化护理途径，医疗依从性mHealth解决方案应该是个性化的，管理药物，包括一个报警系统，追踪癫痫发作，支持磋商,并提供更新的治疗计划。这项研究旨在了解研究问题的发现如何改善癫痫患者的mHealth解决方案。本研究对当前mHealth依从性解决方案有效性的见解将为开发未来的mHealth系统提供指导。使他们更有效地管理癫痫。
背景：PROSPEROCRD4202347400;https://tinyurl.com/48mfx22e。
■DERR1-10.2196/55123。
目的：本研究旨在评估旨在提高癫痫患者医疗依从性的当前mHealth解决方案的有效性。此外，该研究将研究患者使用mHealth解决方案在癫痫治疗中保持医疗依从性的经验。最后,本综述旨在确定医疗专业人员在mHealth系统中的作用,旨在支持癫痫患者的服药依从性.
方法：选择了系统的文献综述作为解决研究问题的适当方法，遵守PRISMA（系统审查和荟萃分析的首选报告项目）指南。纳入和排除标准经过精心挑选,定性和定量分析将用于分析结果。预期结果将主要集中在比较上，分类，并分析当前医疗依从性mHealth工具的有效性。此外，将评估患者使用现有医疗依从性mHealth工具治疗癫痫的经验.最后,将探讨医疗保健专业人员在癫痫数字化护理途径中的作用，强调医疗依从性。
结果：最初的搜索，全文筛选,并进行了数据提取。审查的最后阶段包括了33篇论文。该研究预计将于2024年10月完成。
结论：为了加强癫痫的数字化护理途径，医疗依从性mHealth解决方案应该是个性化的，管理药物，包括一个报警系统，追踪癫痫发作，支持磋商,并提供更新的治疗计划。这项研究旨在了解研究问题的发现如何改善癫痫患者的mHealth解决方案。本研究对当前mHealth依从性解决方案有效性的见解将为开发未来的mHealth系统提供指导。使他们更有效地管理癫痫。
背景：PROSPEROCRD4202347400;https://tinyurl.com/48mfx22e。
■DERR1-10.2196/55123。
