How the commercial virtual care industry gathers, uses and values patient data: a Canadian qualitative study

Author:

Spithoff SherylORCID,McPhail Brenda,Vesely Leslie,Rowe Robyn K,Mogic Lana,Grundy QuinnORCID

Abstract

ObjectivesTo understand and report on the direct-to-consumer virtual care industry in Canada, focusing on how companies collect, use and value patient data.DesignQualitative study using situational analysis methodology.SettingCanadian for-profit virtual care industry.Participants18 individuals employed by or affiliated with the Canadian virtual care industry.MethodsSemistructured interviews were conducted between October 2021 and January 2022 and publicly available documents on websites of commercial virtual care platforms were retrieved. Analysis was informed by situational analysis, a constructivist grounded theory methodology, with a continuous and iterative process of data collection and analysis; theoretical sampling and creation of theoretical concepts to explain findings.ResultsParticipants described how companies in the virtual care industry highly valued patient data. Companies used data collected as patients accessed virtual care platforms and registered for services to generate revenue, often by marketing other products and services. In some cases, virtual care companies were funded by pharmaceutical companies to analyse data collected when patients interacted with a healthcare provider and adjust care pathways with the goal of increasing uptake of a drug or vaccine. Participants described these business practices as expected and appropriate, but some were concerned about patient privacy, industry influence over care and risks to marginalised communities. They described how patients may have agreed to these uses of their data because of high levels of trust in the Canadian health system, problematic consent processes and a lack of other options for care.ConclusionsPatients, healthcare providers and policy-makers should be aware that the direct-to-consumer virtual care industry in Canada highly values patient data and appears to view data as a revenue stream. The industry’s data handling practices of this sensitive information, in the context of providing a health service, have implications for patient privacy, autonomy and quality of care.

Funder

Privacy Commissioner of Canada Contributions Program

Publisher

BMJ

Reference125 articles.

1. Matthewman S , Spencer S , Lavergne MR , et al . An environmental scan of virtual ‘walk-in clinics in Canada: comparative study. J Med Internet Res 2021;23:e27259. doi:10.2196/27259

2. Telehealth: A quarter trillion dollar post-COVID-19 reality? | McKinsey. 2022 Available: https://www.mckinsey.com/industries/healthcare/our-insights/telehealth-a-quarter-trillion-dollar-post-covid-19-reality

3. Jain T , Mehrotra A . Comparison of direct-to-consumer telemedicine visits with primary care visits. JAMA Netw Open 2020;3:e2028392. doi:10.1001/jamanetworkopen.2020.28392

4. U.S . Direct to consumer Telehealth services market report. 2025. Available: https://www.grandviewresearch.com/industry-analysis/us-direct-consumer-telehealth-services-market-analysis

5. Krouse S . Teladoc’s Remote Doctor Visits Surge in Coronavirus Crisis. Wall Street Journal Available: https://www.wsj.com/articles/teladocs-remote-doctor-visits-surge-in-coronavirus-crisis-11586894400

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3