ArticleDigital health
Patienthood and participation in the digital era.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Social Media Use for Health Purposes: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Infrastructuring AI and Robotics for Health and Everyday Life: Visions and Practices in a Japanese National Moonshot Research and Development Project.Sociology of health & illness · 2026Article
- Primary and secondary patient participation - a qualitative study of healthcare professionals' perceptions and experiences.BMC health services research · 2026Article
- Emerging shadow health systems: regulating health-focused generative AI chatbots from a European perspective.Frontiers in public health · 2026Article
- Data roles: youth mental health outcome measures and the young people who defy them.BioSocieties · 2026Article
- Healthism and Digital Self-Tracking: Reinventing the Individualistic Ethos in Chile.Sociology of health & illness · 2025Article
- Dialogue pathways and narrative analysis in health communication within the social media environment: an empirical study based on user behavior-a case study of China.Frontiers in public health · 2025Article
- Rethinking social action through the info-ecological dimensions of two collaborative public health platforms: the people's health movement and the citizen sense project platforms as examples of health-net-activism.Frontiers in sociology · 2025Article
- How and why to use 'vulnerability': an interdisciplinary analysis of disease risk, indeterminacy and normality.Medical humanities · 2024Review
- Physicians' Perspectives on AI in Clinical Decision Support Systems: Interview Study of the CURATE.AI Personalized Dose Optimization Platform.JMIR human factors · 2023Article
- Turning the gaze: Digital patient feedback and the silent pathology of the NHS.Sociology of health & illness · 2022Article
- Understanding 'passivity' in digital health through imaginaries and experiences of coronavirus disease 2019 contact tracing apps.Big data & society · 2022Article
- Responsibility in Medical Sociology: A Second, Reflexive Look.The American sociologist · 2022Article
- An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study.JMIR formative research · 2021Article
- Hormonal Health: Period Tracking Apps, Wellness, and Self-Management in the Era of Surveillance Capitalism.Engaging science, technology, and society · 2021Article
- Experimental Study on Wound Area Measurement with Mobile Devices.Sensors (Basel, Switzerland) · 2021Article
- Ensuring patient and public involvement in the transition to AI-assisted mental health care: A systematic scoping review and agenda for design justice.Health expectations : an international journal of public participation in health care and health policy · 2021Article
- "Sharing Is Caring:" Australian Self-Trackers' Concepts and Practices of Personal Data Sharing and Privacy.Frontiers in digital health · 2021Article
- Clinical Information Systems - Seen through the Ethics Lens.Yearbook of medical informatics · 2020Review
- Big data and data processing in rheumatology: bioethical perspectives.Clinical rheumatology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The 'digital era' of informatics and knowledge integration has changed the roles and experiences of patients, research participants and health consumers. No longer figured (merely) as passive recipients of healthcare services or as beneficiaries of top-down biomedical information, individuals are increasingly seen as active contributors in healthcare and research. They are positioned into multiple roles that are experienced simultaneously by those who access and co-produce digital content that can easily be transformed into data. This is contextualised by 'big data' technologies that have altered biomedicine, enabling collation and analysis of myriad data from digitised records to personal mobile data. Social media facilitate new formations of communities and knowledge enacted online, while novel kinds of commercial value emerge from digital networks that enable health data commodification. In this paper, we draw from exemplary digital era shifts towards participatory medicine to cast light on the rapprochements between patienthood, participation and consumption, and we explore how these rapprochements are mediated by, and materialise through, the use of participatory digital technologies and big data. We argue that there is a need to use new conceptual tools that account for the multiple roles and experiences of patient-participant-consumers that co-emerge through digital technologies. We must also ethically re-assess the rights and responsibilities of individuals in the digital era, and the implications of digital era changes for the future of biomedicine and healthcare.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.