@文章{info:doi/ 10.2166 /23654，作者="Lai, Claudia和Deber, Raisa和Jadad, Alejandro R和Shachak, Aviv"，标题="利用基于web的免费数字健康工具吸引患者的创收过程:定性分析"，期刊="J Med Internet Res"，年="2021"，月="2"，日="3"，卷="23"，数="2"，页="e23654"，关键词="数字健康;病人参与;电子健康;背景:近年来，数字工具已成为患者解决其健康和信息需求的可行手段。政府和卫生保健组织正在提供数字工具，如自我评估工具、症状跟踪工具或聊天机器人。其他数字工具来源，如通过患者平台提供的数字工具，可在互联网上免费获得。我们将患者平台定义为专门针对健康的网站，这些网站向任何可以上网的人提供工具，使他们与同伴网络一起参与他们的医疗保健过程，以支持他们的学习。尽管许多社交媒体平台免费吸引用户，但患者平台是专门针对健康的。由于人们对它们的商业模式知之甚少，因此有必要了解这些平台在支持患者之外还试图实现什么目标，以便患者能够对使用它们提供的数字工具的好处和风险做出知情的决定。目的:本研究的目的是探索患者平台在支持患者之外试图实现什么，以及如何使用其数字工具来产生收入。 Methods: Textual and visual data collected from a purposeful selection of 11 patient platforms from September 2013 to August 2014 were analyzed using framework analysis. Data were systematically and rigorously coded and categorized according to key issues and themes by following 5 steps: familiarizing, identifying a thematic framework, indexing, charting, and mapping and interpretation. We used open coding to identify additional concepts not captured in the initial thematic framework. This paper reports on emergent findings on the business models of the platforms and their income-generating processes. Results: Our analysis revealed that in addition to patients, the platforms support other parties with interests in health and information exchanges. Patient platforms did not charge up-front fees but generated income from other sources, such as advertising, sponsorship, marketing (eg, sending information to users on behalf of sponsors or providing means for sponsors to reach patients directly), supporting other portals, and providing research services. Conclusions: This study reports on the mechanisms by which some patient platforms generate income to support their operations, gain profit, or both. Although income-generating processes exist elsewhere on social media platforms in general, they pose unique challenges in the health context because digital tools engage patients in health and information exchanges. This study highlights the need to minimize the potential for unintended consequences that can pose health risks to patients or can lead to increased health expenses. By understanding other interests that patient platforms support, our findings point to important policy implications, such as whether (and how) authorities might protect users from processes that may not always be in their best interests and can potentially incur costs to the health system. ", issn="1438-8871", doi="10.2196/23654", url="//www.mybigtv.com/2021/2/e23654/", url="https://doi.org/10.2196/23654", url="http://www.ncbi.nlm.nih.gov/pubmed/33533722" }