探索用于药物管理的移动健康干预措施:对数字工具,实施障碍和患者结果的范围审查
Xuye Wang1,2, Beibei Wang2, Wan Yin Tew1
1Department of Pharmacology, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Minden, Pulau Pinang, Malaysia.
PeerJ. Computer science
|September 24, 2025
概括
移动健康 (mHealth) 应用程序通过个性化提醒和人工智能等功能显著改善药物坚持和健康结果. 然而,为了更广泛的采用,必须解决数字素养和数据隐私等挑战.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 患者的坚持 患者的坚持
背景情况:
- 药物不服药是全球主要的健康问题,导致疾病管理不良,住院病例增加和医疗保健成本增加.
- 移动健康 (mHealth) 应用程序为通过监测,提醒,人工智能干预和患者参与来提高药物坚持提供了有前途的解决方案.
研究的目的:
- 进行关于mHealth应用程序药物坚持的有效性,特征和挑战的范围审查.
- 确定研究缺口,并为数字治疗开发和实施的未来战略提供信息.
主要方法:
- 在Scopus,Web of Science,PubMed/MEDLINE,Google Scholar和CINAHL数据库中系统搜索2020-2024年发表的研究.
- 包括经验研究 (RCT,观察,混合方法) 报告遵守,健康指标或用户参与.
- 从319项包括使用PRISMA-ScR指南的研究中进行了数据的主题综合.
主要成果:
- 85%的研究报告说,通过mHealth功能,如个性化提醒,实时跟踪和AI预测,改善了药物坚持.
- 观察到的临床改善包括更好的血压和血糖控制,以及患者报告的更好的生活质量.
- 确定了关键障碍:有限的数字素养,数据隐私问题,社会经济差异和缺乏电子健康登记系统整合.
结论:
- 移动健康应用程序显示出改善药物服药和健康结果的巨大潜力,特别是在慢性疾病方面.
- 包容性设计,强大的数据隐私和基于证据的实施对于可扩展性和影响性至关重要.
- 未来的研究应该优先考虑长期的有效性,成本效益和医疗保健系统的整合.
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