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引用次数: 13
摘要
导读:移动医疗是世界范围内的一项新兴技术，可以有效地进行癌症筛查。本研究旨在检验移动健康应用程序对癌症筛查的有效性。方法:我们对移动健康应用程序在癌症筛查中的应用相关研究进行了系统的文献综述。我们还对2008年1月1日至2019年1月31日期间发表的期刊中与使用移动健康应用程序相关的癌症筛查文章进行了全面搜索，使用了5个数据库:IEEE、Scopus、Web of Science、Science Direct和PubMed。结果:共有23篇文章符合纳入标准，被纳入本综述。所有的研究都确定了应用程序对癌症筛查和临床健康结果的积极影响。此外，超过一半的移动应用程序具有多种功能，如提供信息、规划和教育。此外，大多数研究都考察了患者的满意度和质量的提高，结果显示医疗保健应用用户的生活满意度显著提高，并导致质量的提高。结论:本研究发现，使用移动健康应用程序对健康相关行为和结果有积极影响。与接受常规护理的用户相比，应用程序用户更满意使用移动健康应用程序来管理自己的健康状况。
The Impact of Mobile Health on Cancer Screening: A Systematic Review.
Introduction: Mobile health is an emerging technology around the world that can be effective in cancer screening. This study aimed to examine the effectiveness of mobile health applications on cancer screening.
Methods: We conducted a systematic literature review of studies related to the use of mobile health applications in cancer screening. We also conducted a comprehensive search of articles on cancer screening related to the use of mobile health applications in journals published between January 1, 2008, and January 31, 2019, using 5 databases: IEEE, Scopus, Web of Science, Science Direct and PubMed.
Results: A total of 23 articles met the inclusion criteria and were included in the present review. All studies have identified positive effects of applications on cancer screening and clinical health outcomes. Furthermore, more than half of mobile applications had multiple functions such as providing information, planning and education. Moreover, most of the studies, which examined the satisfaction of patients and quality improvement, showed healthcare application users have significantly higher satisfaction of living and it leads to improving quality.
Conclusion: This study found that the use of mobile health applications has a positive impact on health-related behaviours and outcomes. Application users were more satisfied with applying mobile health applications to manage their health condition in comparison with users who received conventional care.
期刊介绍：
The field of cancer research relies on advances in many other disciplines, including omics technology, mass spectrometry, radio imaging, computer science, and biostatistics. Cancer Informatics provides open access to peer-reviewed high-quality manuscripts reporting bioinformatics analysis of molecular genetics and/or clinical data pertaining to cancer, emphasizing the use of machine learning, artificial intelligence, statistical algorithms, advanced imaging techniques, data visualization, and high-throughput technologies. As the leading journal dedicated exclusively to the report of the use of computational methods in cancer research and practice, Cancer Informatics leverages methodological improvements in systems biology, genomics, proteomics, metabolomics, and molecular biochemistry into the fields of cancer detection, treatment, classification, risk-prediction, prevention, outcome, and modeling.
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