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疼痛管理移动应用程序:商业和研究努力的系统评价。

Pain Management Mobile Applications: A Systematic Review of Commercial and Research Efforts.

机构信息

Department of Public and Community Health, School of Public Health, Athens Campus, University of West Attica, 11521 Athens, Greece.

Department of Informatics and Computer Engineering, School of Engineering, Egaleo Park Campus, University of West Attica, 12243 Egaleo, Greece.

出版信息

Sensors (Basel). 2023 Aug 5;23(15):6965. doi: 10.3390/s23156965.

Abstract

Shared decision making is crucial in the pain domain. The subjective nature of pain demands solutions that can facilitate pain assessment and management. The aim of the current study is to review the current trends in both the commercial and the research domains in order to reveal the key issues and guidelines that could further help in the effective development of pain-focused apps. We searched for scientific publications and commercial apps in 22 databases and the two major app stores. Out of 3612 articles and 336 apps, 69 met the requirements for inclusion following the PRISMA guidelines. An analysis of their features (technological approach, design methodology, evaluation strategy, and others) identified critical points that have to be taken into consideration in future efforts. For example, commercial and research efforts target different types of pain, while no participatory design is followed in the majority of the cases examined. Moreover, the evaluation of the final apps remains a challenge that hinders their success. The examined domain is expected to experience a substantial increase. More research is needed towards the development of non-intrusive wearables and sensors for pain detection and assessment, along with artificial intelligence techniques and open data.

摘要

在疼痛领域,共同决策至关重要。疼痛的主观性要求能够促进疼痛评估和管理的解决方案。本研究的目的是回顾商业和研究领域的当前趋势,以揭示可能有助于有效开发以疼痛为重点的应用程序的关键问题和指南。我们在 22 个数据库和两个主要的应用程序商店中搜索了科学出版物和商业应用程序。在 3612 篇文章和 336 个应用程序中,有 69 个符合 PRISMA 指南的纳入标准。对其功能(技术方法、设计方法、评估策略等)的分析确定了在未来工作中必须考虑的关键点。例如,商业和研究工作针对不同类型的疼痛,而在大多数检查的情况下都没有遵循参与式设计。此外,最终应用程序的评估仍然是一个挑战,阻碍了它们的成功。预计所检查的领域将大幅增加。需要进一步研究用于疼痛检测和评估的非侵入性可穿戴设备和传感器,以及人工智能技术和开放数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/47b7/10422642/2da63e3c986a/sensors-23-06965-g001.jpg

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