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收集神经科医生和患者的反馈以指导帕金森病应用程序(DigiPark)的开发:定性、非干预性研究。

Collecting Feedback From Neurologists and Patients to Guide Development of a Parkinson Disease App (DigiPark): Qualitative, Noninterventional Study.

作者信息

Duracinsky Martin, Brown Hajdukova Eva, Péretz Fabienne, Sauzin Julie, Gouider-Khouja Neziha, Atlani Caroline, Dalili Djamchid

机构信息

Patient-Reported Outcomes Research, Health Economics Clinical Trial Unit, Hotel-Dieu Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.

ECEVE, UMR-S 1123, Paris Cité University, Inserm, Paris, France.

出版信息

JMIR Hum Factors. 2024 Dec 31;11:e55032. doi: 10.2196/55032.

DOI:10.2196/55032
PMID:39740139
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11706441/
Abstract

BACKGROUND

Parkinson disease (PD) is a worldwide, fast-growing, progressive neurodegenerative condition. Its multifaceted clinical presentation includes a wide range of motor and nonmotor symptoms. Smartphones present a potential solution to better monitor and subsequently alleviate PD symptoms.

OBJECTIVE

The aim of this study is to explore neurologists' and patients' needs and preferences regarding the design and functionality of a new smartphone app for PD, DigiPark.

METHODS

This qualitative, noninterventional study gathered data through two primary methods: (1) by conducting interviews with 9 neurologists and (2) through a usability test including 5 patients with PD.

RESULTS

The neurologists affirmed the necessity for a patient-centered app, highlighting the complexities of PD management. They advocated for personalized app functionalities to improve patients' quality of life and emphasized the need for enhanced patient-provider communication. Feedback from the usability test indicated a preference for a clear, simple user interface, as well as elucidation of the app's benefits. Concerns about the app's time demands and the complexity of certain features like medication management were expressed. Furthermore, patients with PD consistently showed interest in features that could track and monitor their progress over time. This highlights the need to include clear benefits within the app to maintain user engagement and commitment.

CONCLUSIONS

Neurologists' and patients' feedback on the design and functionality of the app complement each other. Collaborative efforts in shaping the app should better address genuine PD management needs. Future clinical trial inclusion can further validate the efficacy of DigiPark.

摘要

背景

帕金森病(PD)是一种在全球范围内快速增长的进行性神经退行性疾病。其多方面的临床表现包括广泛的运动和非运动症状。智能手机为更好地监测并随后缓解PD症状提供了一种潜在的解决方案。

目的

本研究旨在探讨神经科医生和患者对于一款用于PD的新智能手机应用程序DigiPark的设计和功能的需求与偏好。

方法

这项定性的非干预性研究通过两种主要方法收集数据:(1)对9名神经科医生进行访谈;(2)进行一项包括5名PD患者的可用性测试。

结果

神经科医生肯定了以患者为中心的应用程序的必要性,强调了PD管理的复杂性。他们主张应用程序应具备个性化功能以提高患者的生活质量,并强调需要加强患者与医疗服务提供者之间的沟通。可用性测试的反馈表明,用户更喜欢清晰、简单的用户界面,以及对应用程序益处的阐释。患者对应用程序所需时间以及药物管理等某些功能的复杂性表示担忧。此外,PD患者一直对能够随时间跟踪和监测其进展的功能表现出兴趣。这凸显了在应用程序中纳入明确益处以保持用户参与度和忠诚度的必要性。

结论

神经科医生和患者对应用程序设计和功能的反馈相互补充。在塑造该应用程序方面的合作努力应能更好地满足真正的PD管理需求。未来纳入临床试验可以进一步验证DigiPark的疗效。

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本文引用的文献

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Older Adults' Perspectives of Smart Technologies to Support Aging at Home: Insights from Five World Café Forums.老年人对支持居家养老的智能技术的看法:来自五个世界咖啡论坛的见解。
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Exploring Unmet Information Needs of People with Parkinson's Disease and Their Families: Focusing on Information Sharing in an Online Patient Community.探索帕金森病患者及其家属的未满足信息需求:聚焦于在线患者社区中的信息共享。
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Parkinson's disease detection from 20-step walking tests using inertial sensors of a smartphone: Machine learning approach based on an observational case-control study.基于智能手机惯性传感器的 20 步步行测试进行帕金森病检测:基于观察性病例对照研究的机器学习方法。
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JAMA. 2020 Feb 11;323(6):548-560. doi: 10.1001/jama.2019.22360.
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Adherence to treatment and related factors among patients with chronic conditions in primary care: a cross-sectional study.在初级保健中,慢性病患者的治疗依从性及相关因素:一项横断面研究。
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Environment, lifestyle, and Parkinson's disease: Implications for prevention in the next decade.环境、生活方式与帕金森病:对未来十年预防工作的启示。
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Identification of Motor Symptoms Related to Parkinson Disease Using Motion-Tracking Sensors at Home (KÄVELI): Protocol for an Observational Case-Control Study.在家中使用运动追踪传感器识别与帕金森病相关的运动症状(KÄVELI):一项观察性病例对照研究的方案
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