Department of Social and Political Science, Bocconi University, Milan, Italy.
Centre for Research on Health and Social Care Management, SDA Bocconi School of Management, Bocconi University, Milan, Italy.
JMIR Mhealth Uhealth. 2019 Sep 6;7(9):e13584. doi: 10.2196/13584.
Mobile technologies are increasingly being used to manage chronic diseases, including cancer, with the promise of improving the efficiency and effectiveness of care. Among the myriad of mobile technologies in health care, we have seen an explosion of mobile apps. The rapid increase in digital health apps is not paralleled by a similar trend in usage statistics by clinicians and patients. Little is known about how much and in what ways mobile health (mHealth) apps are used by clinicians and patients for cancer care, what variables affect their use of mHealth, and what patients' and clinicians' expectations of mHealth apps are.
This study aimed to describe the patient and clinician population that uses mHealth in cancer care and to provide recommendations to app developers and regulators to generally increase the use and efficacy of mHealth apps.
Through a cross-sectional Web-based survey, we explored the current utilization rates of mHealth in cancer care and factors that explain the differences in utilization by patients and clinicians across the United States and 5 different countries in Europe. In addition, we conducted an international workshop with more than 100 stakeholders and a roundtable with key representatives of international organizations of clinicians and patients to solicit feedback on the survey results and develop insights into mHealth app development practices.
A total of 1033 patients and 1116 clinicians participated in the survey. The proportion of cancer patients using mHealth (294/1033, 28.46%) was far lower than that of clinicians (859/1116, 76.97%). Accounting for age and salary level, the marginal probabilities of use at means are still significantly different between the 2 groups and were 69.8% for clinicians and 38.7% for patients using the propensity score-based regression adjustment with weighting technique. Moreover, our analysis identified a gap between basic and advanced users, with a prevalent use for activities related to the automation of processes and the interaction with other individuals and a limited adoption for side-effect management and compliance monitoring in both groups.
mHealth apps can provide access to clinical and economic data that are low cost, easy to access, and personalized. The benefits can go as far as increasing patients' chances of overall survival. However, despite its potential, evidence on the actual use of mobile technologies in cancer care is not promising. If the promise of mHealth is to be fulfilled, clinician and patient usage rates will need to converge. Ideally, cancer apps should be designed in ways that strengthen the patient-physician relationship, ease physicians' workload, be tested for validity and effectiveness, and fit the criteria for reimbursement.
移动技术正被越来越多地用于管理慢性病,包括癌症,以期提高医疗效率和效果。在医疗保健领域的无数移动技术中,我们看到移动应用程序如雨后春笋般涌现。数字健康应用程序的快速增长并没有带来临床医生和患者使用情况统计数据的类似趋势。人们对移动医疗(mHealth)应用程序在多大程度上以及以何种方式被临床医生和患者用于癌症护理知之甚少,也不知道哪些变量会影响他们对 mHealth 的使用,以及患者和临床医生对 mHealth 应用程序的期望是什么。
本研究旨在描述使用 mHealth 进行癌症护理的患者和临床医生人群,并向应用程序开发者和监管机构提供建议,以普遍提高 mHealth 应用程序的使用和效果。
通过一项横断面网络调查,我们探讨了 mHealth 在癌症护理中的当前使用率,以及解释美国和欧洲 5 个不同国家的患者和临床医生之间使用率差异的因素。此外,我们还与 100 多名利益相关者举办了一次国际研讨会,并与国际临床医生和患者组织的主要代表举行了一次圆桌会议,征求他们对调查结果的反馈意见,并深入了解 mHealth 应用程序开发实践。
共有 1033 名患者和 1116 名临床医生参与了调查。使用 mHealth 的癌症患者比例(294/1033,28.46%)远低于临床医生(859/1116,76.97%)。在考虑年龄和工资水平的情况下,两组之间使用的边缘概率在平均值上仍然存在显著差异,倾向得分回归调整加权技术的使用概率分别为临床医生的 69.8%和患者的 38.7%。此外,我们的分析还发现了基础用户和高级用户之间的差距,普遍用于与流程自动化和与其他个体交互相关的活动,而在两组中,对副作用管理和依从性监测的采用则有限。
mHealth 应用程序可以提供低成本、易于访问和个性化的临床和经济数据。其好处可以扩大患者的整体生存机会。然而,尽管有其潜力,但在癌症护理中实际使用移动技术的证据并不乐观。如果 mHealth 的承诺要得到兑现,临床医生和患者的使用率将需要趋同。理想情况下,癌症应用程序的设计应增强医患关系,减轻医生的工作负担,经过有效性和有效性测试,并符合报销标准。