Evaluation of mobile applications related to patients with Parkinson's disease based on their essential features and capabilities.

IF 3.3 3区 医学 Q2 MEDICAL INFORMATICS
Hamid Azadi, Mohammad-Reza Akbarzadeh-Totonchi, Yones Jahani, Sadrieh Hajesmaeel Gohari, Reza Khajouei
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引用次数: 0

Abstract

Background: Parkinson's disease (PD) is a neurodegenerative disorder that affects millions of people worldwide. Mobile technologies enable Parkinson's patients to improve their quality of life, manage symptoms, and enhance overall well-being through various applications (apps). There is no integrated list of specific capabilities available to cater to the unique needs of Parkinson's patient-focused mobile apps.

Objective: This study aimed to identify the key features and capabilities prioritized in developing mobile apps for patients with Parkinson's disease (PWP) and rank the related apps in this field.

Methods: We searched iTunes and Google Play for PWP apps with "Parkinson" or "Parkinson's" in their title or description. We evaluated existing mobile apps through a four-step process: identification, screening, eligibility, and feature analysis. We installed apps on Android and iOS devices, categorized their features/capabilities by the "use case model" and other additional identified features. We scored them using a tool called FARM (Feature-based Application Rating Method) and ranked PWP-related apps.

Results: Thirty-three apps related to the PWP were included and evaluated. Almost half of the apps were available on both the Android and iOS platforms. Seventy-five percent of the genres were associated with health and fitness. Although the included apps utilized certain features, none of the capabilities were used simultaneously. According to the experts' opinions, 'large font' was the most important feature and was utilized in 70% of the mobile applications. Additionally, the average score for all Parkinson's disease-related applications was 17.71 (SD = 7.92). The app titled 'Swiss Parkinson' had the highest score.

Conclusions: Integrating a relevant list of features used for Parkinson's patients' applications yielded valuable insights for the design of mobile applications tailored to patients' needs. These features are highly efficient in dealing with the specific obstacles related to this disease.

基于帕金森病患者基本特征和功能的移动应用评估
背景:帕金森病(PD)是一种影响全世界数百万人的神经退行性疾病。移动技术使帕金森患者能够通过各种应用程序(app)改善生活质量,管理症状并增强整体健康。目前还没有特定功能的综合列表来满足以帕金森患者为中心的移动应用程序的独特需求。目的:本研究旨在确定开发帕金森病患者(PWP)移动应用程序时优先考虑的关键特征和功能,并对该领域的相关应用程序进行排名。方法:在iTunes和谷歌Play中搜索标题或描述为“Parkinson”或“Parkinson’s”的PWP应用程序。我们通过四个步骤来评估现有的手机应用:识别、筛选、合格性和功能分析。我们在Android和iOS设备上安装了应用程序,并根据“用例模型”和其他附加识别功能对它们的特性/功能进行分类。我们使用名为FARM(基于功能的应用程序评级方法)的工具对它们进行评分,并对pwp相关的应用程序进行排名。结果:纳入并评估了33个与PWP相关的应用程序。几乎一半的应用可以在Android和iOS平台上使用。75%的音乐类型与健康和健身有关。虽然所包含的应用程序使用了某些功能,但没有一个功能是同时使用的。根据专家的意见,“大字体”是最重要的功能,在70%的移动应用程序中使用。此外,所有帕金森病相关应用的平均得分为17.71 (SD = 7.92)。名为“瑞士帕金森”的应用程序得分最高。结论:整合帕金森患者应用程序的相关功能列表,为设计适合患者需求的移动应用程序提供了有价值的见解。这些特征在处理与这种疾病有关的特定障碍方面非常有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
5.70%
发文量
297
审稿时长
1 months
期刊介绍: BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.
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