Income-Generating Processes of Free Web-Based Digital Health Tools to Engage Patients: Qualitative Analysis

• Published in: Journal of medical Internet research 2021-02, Vol.23 (1), p.e23654-e23654
• Main Authors: Lai, Claudia, Deber, Raisa, Jadad, Alejandro R, Shachak, Aviv
• Format: Article
• Language: English
• Subjects: Advertising; Best interests; Chatbots; Chronic illnesses; Fees & charges; Health risks; Humans; Indexing; Information needs; Internet; Internet access; Mapping; Marketing; Mental disorders; Mental health; Multiple sclerosis; Original Paper; Patient Participation - methods; Patients; Personal health; Privacy; Qualitative Research; Registration; Self evaluation; Social media; Social Media - economics; Social Media - standards; Social networks; Software; Sponsorship; Telemedicine - standards; Tracking; Websites
• ISSN: 1438-8871; 1439-4456; 1438-8871
• DOI: 10.2196/23654

In recent years, digital tools have become a viable means for patients to address their health and information needs. Governments and health care organizations are offering digital tools such as self-assessment tools, symptom tracking tools, or chatbots. Other sources of digital tools, such as those offered through patient platforms, are available on the internet free of charge. We define patient platforms as health-specific websites that offer tools to anyone with internet access to engage them in their health care process with peer networks to support their learning. Although numerous social media platforms engage users without up-front charges, patient platforms are specific to health. As little is known about their business model, there is a need to understand what else these platforms are trying to achieve beyond supporting patients so that patients can make informed decisions about the benefits and risks of using the digital tools they offer. The aim of this study is to explore what patient platforms are trying to achieve beyond supporting patients and how their digital tools can be used to generate income. 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. 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. 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 hea