{"id":238072,"date":"2015-09-01T00:00:00","date_gmt":"2015-09-01T07:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/msr-research-item\/linking-social-media-and-medical-record-data-a-study-of-adults-presenting-to-an-academic-urban-emergency-department\/"},"modified":"2018-10-16T21:58:37","modified_gmt":"2018-10-17T04:58:37","slug":"linking-social-media-and-medical-record-data-a-study-of-adults-presenting-to-an-academic-urban-emergency-department","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/linking-social-media-and-medical-record-data-a-study-of-adults-presenting-to-an-academic-urban-emergency-department\/","title":{"rendered":"Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department"},"content":{"rendered":"
\n

Background<\/b>:<\/b> Social media may offer insight into the relationship between an individual\u2019s health and their everyday life, as well as attitudes towards health and the perceived quality of healthcare
\nservices.<\/p>\n

Objective<\/b>: To determine the acceptability to patients and potential utility to researchers of a database linking patients\u2019 social media content with their electronic medical record (EMR) data.<\/p>\n

Methods<\/b>:<\/b> Adult 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.<\/p>\n

Results<\/b>: Of 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\u00b19.8 vs 31.9\u00b110.4 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).<\/p>\n

Conclusions<\/b>: Many 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\u2019 health and health outcomes.<\/p>\n<\/div>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Background: Social media may offer insight into the relationship between an individual\u2019s health and their everyday life, as well as attitudes towards health and the perceived quality of healthcare services. 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