ArticleBMJ quality & safety2016
Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department.
Article in BMJ quality & safety, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
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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.
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Who cites it
37 citing papers in PubMed.
- Willingness to Share Internet Use Data for Research on Early Disease Detection: Cross-Sectional Survey.Journal of medical Internet research · 2026Article
- Summarizing Online Patient Conversations Using Generative Language Models: Experimental and Comparative Study.JMIR medical informatics · 2025Article
- Health data sharing attitudes towards primary and secondary use of data: a systematic review.EClinicalMedicine · 2024Article
- Using Social Media as a Source of Real-World Data for Pharmaceutical Drug Development and Regulatory Decision Making.Drug safety · 2024Article
- Depression Detection on Social Media: A Classification Framework and Research Challenges and Opportunities.Journal of healthcare informatics research · 2024Article
- Patient listening on social media for patient-focused drug development: a synthesis of considerations from patients, industry and regulators.Frontiers in medicine · 2024Article
- Associations Between Patient-Reported Outcome Measures of Physical and Psychological Functioning and Willingness to Share Social Media Data for Research Among Adolescents With a Chronic Rheumatic Disease: Cross-Sectional Survey.JMIR pediatrics and parenting · 2023Article
- Using Facebook language to predict and describe excessive alcohol use.Alcoholism, clinical and experimental research · 2022Article
- Linking Individual-Level Facebook Posts With Psychological and Health Data in an Epidemiological Cohort: Feasibility Study.JMIR formative research · 2022Article
- Factors Associated With Willingness to Share Health Information: Rapid Review.JMIR human factors · 2022Review
- 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
- Leveraging innovative technology to generate drug response phenotypes for the advancement of biomarker-driven precision dosing.Clinical and translational science · 2021Article
- Social media language of healthcare super-utilizers.NPJ digital medicine · 2021Article
- Can language use in social media help in the treatment of severe mental illness?Current research in psychiatry · 2021Article
- AI enabled suicide prediction tools: a qualitative narrative review.BMJ health & care informatics · 2020Review
- Designing a Clinician-Facing Tool for Using Insights From Patients' Social Media Activity: Iterative Co-Design Approach.JMIR mental health · 2020Article
- Variability in Language used on Social Media prior to Hospital Visits.Scientific reports · 2020Article
- The Use of Social Media by Healthcare Quality Personnel in Saudi Arabia.Journal of environmental and public health · 2020Article
- The future of social media in marketing.Journal of the Academy of Marketing Science · 2020Article
- Views on social media and its linkage to longitudinal data from two generations of a UK cohort study.Wellcome open research · 2020Article
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Authors and funding
10 authors.
Funding
Abstract
backgroundSocial media may offer insight into the relationship between an individual's health and their everyday life, as well as attitudes towards health and the perceived quality of healthcare services.
objectiveTo determine the acceptability to patients and potential utility to researchers of a database linking patients' social media content with their electronic medical record (EMR) data.
methodsAdult Facebook/Twitter users who presented to an emergency department were queried about their willingness to share their social media data and EMR data with health researchers for the purpose of building a databank for research purposes. Shared posts were searched for select terms about health and healthcare.
resultsOf the 5256 patients approached, 2717 (52%) were Facebook and/or Twitter users. 1432 (53%) of those patients agreed to participate in the study. Of these participants, 1008 (71%) consented to share their social media data for the purposes of comparing it with their EMR. Social media data consisted of 1 395 720 posts/tweets to Facebook and Twitter. Participants sharing social media data were slightly younger (29.1±9.8 vs 31.9±10.4 years old; p<0.001), more likely to post at least once a day (42% vs 29%; p=0.003) and more likely to present to the emergency room via self-arrival mode and have private insurance. Of Facebook posts, 7.5% (95% CI 4.8% to 10.2%) were related to health. Individuals with a given diagnosis in their EMR were significantly more likely to use terms related to that diagnosis on Facebook than patients without that diagnosis in their EMR (p<0.0008).
conclusionsMany patients are willing to share and link their social media data with EMR data. Sharing patients have several demographic and clinical differences compared with non-sharers. A database that merges social media with EMR data has the potential to provide insights about individuals' health and health outcomes.
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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.