移动医疗应用在支持癌症疼痛自我管理中的可接受性、有效性和作用:综合评论。

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Weizi Wu, Teresa Graziano, Andrew Salner, Ming-Hui Chen, Michelle P Judge, Xiaomei Cong, Wanli Xu
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引用次数: 0

摘要

背景: 癌症疼痛在整个存活期内仍然非常普遍和顽固,因此研究利用移动医疗(mHealth)应用程序的先进功能来增强个人自我管理疼痛的能力至关重要: 本综述旨在全面了解移动医疗应用程序在支持癌症疼痛自我管理方面的可接受性、用户体验和有效性: 我们按照 Souza、Whittemore 和 Knafl 的 6 项综述流程进行了综合综述。我们在 PubMed、Scopus、CINAHL Plus with Full Text、PsycINFO 和 Embase 中检索了 2013 年至 2023 年的文献。搜索关键词包括 "癌症患者"、"疼痛"、"自我管理"、"移动医疗应用 "及相关同义词。使用约翰霍普金斯研究证据评估工具对符合条件的研究进行质量评估。对提取的数据进行了叙述性综合分析: 共纳入 20 项研究,总体质量被评为高(15 项)至良好(5 项)。对于大多数癌症患者来说,使用移动医疗应用程序监测和管理疼痛是可以接受的。移动医疗在测量疼痛方面的内部一致性为 0.96。报告的每日评估或参与率从 61.9% 到 76.8% 不等。所有移动医疗应用程序都是为多模式干预而设计的。参与者普遍对使用疼痛应用程序有积极的体验,认为这些应用程序令人愉悦且易于使用。此外,有 6 项研究报告了健康结果的显著改善,包括疼痛缓解(严重程度和强度)的增强、药物治疗的依从性以及突破性疼痛频率的降低。最常强调的移动医疗应用程序的作用包括疼痛监测、跟踪、提醒、教育促进和支持协调。它们为患者监测、跟踪和管理疼痛提供了一种有前景的多模式方法。这些发现为利用移动医疗应用程序支持癌症疼痛自我管理提供了循证见解。还需要进行更多高质量的研究,以检查基于数字技术的癌痛自我管理干预措施的有效性,并确定其在实际应用中的促进因素和障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Acceptability, Effectiveness, and Roles of mHealth Applications in Supporting Cancer Pain Self-Management: Integrative Review.

Background:  Cancer pain remains highly prevalent and persistent throughout survivorship, and it is crucial to investigate the potential of leveraging the advanced features of mobile health (mHealth) apps to empower individuals to self-manage their pain.

Objective:  This review aims to comprehensively understand the acceptability, users' experiences, and effectiveness of mHealth apps in supporting cancer pain self-management.

Methods:  We conducted an integrative review following Souza and Whittemore and Knafl's 6 review processes. Literature was searched in PubMed, Scopus, CINAHL Plus with Full Text, PsycINFO, and Embase, from 2013 to 2023. Keywords including "cancer patients," "pain," "self-management," "mHealth applications," and relevant synonyms were used in the search. The Johns Hopkins research evidence appraisal tool was used to evaluate the quality of eligible studies. A narrative synthesis was conducted to analyze the extracted data.

Results:  A total of 20 studies were included, with the overall quality rated as high (n=15) to good (n=5). Using mHealth apps to monitor and manage pain was acceptable for most patients with cancer. The internal consistency of the mHealth in measuring pain was 0.96. The reported daily assessment or engagement rate ranged from 61.9% to 76.8%. All mHealth apps were designed for multimodal interventions. Participants generally had positive experiences using pain apps, rating them as enjoyable and user-friendly. In addition, 6 studies reported significant improvements in health outcomes, including enhancement in pain remission (severity and intensity), medication adherence, and a reduced frequency of breakthrough pain. The most frequently highlighted roles of mHealth apps included pain monitoring, tracking, reminders, education facilitation, and support coordination.

Conclusions:  mHealth apps are effective and acceptable in supporting pain self-management. They offer a promising multi-model approach for patients to monitor, track, and manage their pain. These findings provide evidence-based insights for leveraging mHealth apps to support cancer pain self-management. More high-quality studies are needed to examine the effectiveness of digital technology-based interventions for cancer pain self-management and to identify the facilitators and barriers to their implementation in real-world practice.

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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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