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医疗依从性移动健康解决方案对癫痫患者的有效性:系统评价方案。

The Effectiveness of Medical Adherence Mobile Health Solutions for Individuals With Epilepsy: Protocol for a Systematic Review.

机构信息

Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland.

Faculty of Medicine, University of Oulu, Oulu, Finland.

出版信息

JMIR Res Protoc. 2024 Aug 6;13:e55123. doi: 10.2196/55123.

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.

TRIAL REGISTRATION

PROSPERO CRD4202347400; https://tinyurl.com/48mfx22e.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/55123.

摘要

背景

癫痫需要持续管理和治疗,以优化患者的治疗效果。数字健康的进步带来了各种移动健康(mHealth)工具的发展,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、成本管理协助、共同决策以及提供支持性社区等功能,提供了重要支持。为了设计有效的药物依从性 mHealth 解决方案,必须评估现有 mHealth 工具的有效性,了解不同患者的独特情况,并确定医疗保健专业人员在数字护理路径中的角色。现有的癫痫研究主要集中在自我管理上,而医疗依从性 mHealth 解决方案的有效性和可用性往往被忽视。此外,医疗保健专业人员在癫痫数字护理路径中的参与情况以及医疗依从性 mHealth 解决方案对患者体验的影响也没有得到充分探讨。

目的

本研究旨在评估目前旨在提高癫痫患者药物依从性的 mHealth 解决方案的有效性。此外,本研究还将研究患者使用 mHealth 解决方案在癫痫护理中保持医疗依从性的体验。最后,本综述旨在确定 mHealth 系统中医疗保健专业人员的角色,以支持癫痫患者对药物的依从性。

方法

选择系统文献综述作为解决研究问题的适当方法,遵循 PRISMA(系统评价和荟萃分析的首选报告项目)指南。已经仔细选择了纳入和排除标准,并且将使用定性和定量分析来分析结果。预期结果主要集中在比较、分类和分析当前医疗依从性 mHealth 工具的有效性上。此外,还将评估患者使用现有的医疗依从性 mHealth 工具治疗癫痫的体验。最后,将探讨医疗保健专业人员在癫痫数字护理路径中的作用,重点是医疗依从性。

结果

已经进行了初步搜索、全文筛选和数据提取。最终有 33 篇论文被纳入综述。预计研究将于 2024 年 10 月完成。

结论

为了增强癫痫的数字护理路径,医疗依从性 mHealth 解决方案应该是个性化的,管理药物,包括报警系统,跟踪癫痫发作,支持咨询,并提供更新的治疗计划。本研究旨在了解研究问题的结果如何能改善癫痫患者的 mHealth 解决方案。本研究中关于当前 mHealth 依从性解决方案有效性的发现将为开发未来的 mHealth 系统提供指导,使它们在管理癫痫方面更加高效和有效。

试验注册

PROSPERO CRD4202347400;https://tinyurl.com/48mfx22e。

国际注册报告标识符(IRRID):DERR1-10.2196/55123。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf3f/11336499/1a6912b31854/resprot_v13i1e55123_fig1.jpg

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