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共同设计数字技术以改善帕金森病患者的临床护理:我们学到了什么?

Co-Designing Digital Technologies for Improving Clinical Care in People with Parkinson's Disease: What Did We Learn?

机构信息

HM CINAC, Hospital Universitario HM Puerta del Sur, Universidad CEU-San Pablo, 28968 Madrid, Spain.

Ken and Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.

出版信息

Sensors (Basel). 2023 May 22;23(10):4957. doi: 10.3390/s23104957.

DOI:10.3390/s23104957
PMID:37430871
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10222343/
Abstract

The healthcare model is shifting towards integrated care approaches. This new model requires patients to be more closely involved. The iCARE-PD project aims to address this need by developing a technology-enabled, home-based, and community-centered integrated care paradigm. A central part of this project is the codesign process of the model of care, exemplified by the active participation of patients in the design and iterative evaluation of three sensor-based technological solutions. We proposed a codesign methodology used for testing the usability and acceptability of these digital technologies and present initial results for one of them, Our results show the usefulness of this approach in testing the usability and acceptability as well as the opportunity to incorporate patients' feedback into the development. This initiative will hopefully help other groups incorporate a similar codesign approach and develop tools that are well adapted to patients' and care teams' needs.

摘要

医疗模式正在向整合护理方法转变。这种新模式要求患者更多地参与。iCARE-PD 项目旨在通过开发一种基于技术、以家庭为基础、以社区为中心的综合护理模式来满足这一需求。该项目的一个核心部分是护理模式的共同设计过程,患者积极参与设计和对三种基于传感器的技术解决方案的迭代评估就是例证。我们提出了一种共同设计方法,用于测试这些数字技术的可用性和可接受性,并展示了其中一种技术的初步结果,我们的结果表明,这种方法在测试可用性和可接受性方面非常有用,同时也为将患者的反馈纳入开发提供了机会。这一举措有望帮助其他团队采用类似的共同设计方法,并开发出更符合患者和护理团队需求的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eae/10222343/2d3b06c9b4fd/sensors-23-04957-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eae/10222343/bc0af8c597e5/sensors-23-04957-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eae/10222343/ad97ef64fa1f/sensors-23-04957-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eae/10222343/2d3b06c9b4fd/sensors-23-04957-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eae/10222343/bc0af8c597e5/sensors-23-04957-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eae/10222343/ad97ef64fa1f/sensors-23-04957-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eae/10222343/2d3b06c9b4fd/sensors-23-04957-g003.jpg

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Digit Health. 2022 Feb 25;8:20552076221081695. doi: 10.1177/20552076221081695. eCollection 2022 Jan-Dec.
2
Remote Evaluation of Parkinson's Disease Using a Conventional Webcam and Artificial Intelligence.使用传统网络摄像头和人工智能对帕金森病进行远程评估。
Front Neurol. 2021 Dec 23;12:742654. doi: 10.3389/fneur.2021.742654. eCollection 2021.
3
Expiratory Muscle Strength Training in Patients with Parkinson's Disease: A Pilot Study of Mobile Monitoring Application.
[帕金森病患者护理中聊天信使的使用]
Nervenarzt. 2024 Aug;95(8):714-720. doi: 10.1007/s00115-024-01686-6. Epub 2024 Jul 22.
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Development of the Huntington Support App (HD-eHelp study): a human-centered and co-design approach.亨廷顿支持应用程序的开发(HD-eHelp研究):一种以人为本的协同设计方法。
Front Neurol. 2024 Jul 1;15:1399126. doi: 10.3389/fneur.2024.1399126. eCollection 2024.
帕金森病患者呼气肌力量训练:移动监测应用的初步研究
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