Section of Health Care Research and Rehabilitation Research (SEVERA), Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany.
Int J Environ Res Public Health. 2022 Oct 21;19(20):13689. doi: 10.3390/ijerph192013689.
mHealth interventions in cancer care are being increasingly applied in various settings. Nevertheless, there is a phenomenon wherein individuals show different usage patterns, which could affect the effectiveness of the intervention. In general, it is important to know the predictors of app adherence and usage patterns to improve the design and content (i.e., tailoring). The aim of this scoping review was to provide an overview of predictors of adherence to cancer-related mHealth apps in cancer patients. A systematic literature search was conducted in March 2021 in the electronic databases PubMed, CINAHL, and PsychINFO without limitation in year, focusing on cancer patients undergoing oncological or follow-up treatment using mHealth apps. The initial database search yielded a total of = 8035 records. After title, abstract, and full-text screening, 10 articles met inclusion criteria. Studies were published between 2013 and 2020. Studies focused on children and adolescents (2/10) as well as adults (8/10). The predictors identified could be categorized into sociodemographic variables, cancer-related factors and others. This study provides an initial insight into relevant predictors of app adherence in cancer patients. However, no clear predictor of increased app adherence was found. Further research of usage patterns is therefore needed so that mHealth interventions can be tailored during development.
移动医疗干预措施在癌症护理中的应用越来越广泛，但是存在一种现象，即个体表现出不同的使用模式，这可能会影响干预的效果。一般来说，了解应用程序坚持使用的预测因素和使用模式对于改进设计和内容（即定制）非常重要。本综述的目的是概述癌症患者使用与癌症相关的移动医疗应用程序的坚持使用的预测因素。 2021 年 3 月，在电子数据库 PubMed、CINAHL 和 PsychINFO 中进行了系统的文献检索，未限制年份，重点是使用移动医疗应用程序接受肿瘤学或随访治疗的癌症患者。最初的数据库搜索共产生了 = 8035 条记录。经过标题、摘要和全文筛选，有 10 篇文章符合纳入标准。这些研究发表于 2013 年至 2020 年之间。研究对象包括儿童和青少年（2/10）以及成年人（8/10）。确定的预测因素可分为社会人口统计学变量、癌症相关因素和其他因素。本研究初步探讨了癌症患者应用程序坚持使用的相关预测因素。但是，没有发现增加应用程序坚持使用的明确预测因素。因此，需要进一步研究使用模式，以便在开发过程中定制移动医疗干预措施。
