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      Reviewing social media use by clinicians

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          Abstract

          Adoption studies of social media use by clinicians were systematically reviewed, up to July 26th, 2011, to determine the extent of adoption and highlight trends in institutional responses. This search led to 370 articles, of which 50 were selected for review, including 15 adoption surveys. The definition of social media is evolving rapidly; the authors define it broadly to include social networks and group-curated reference sites such as Wikipedia. Facebook accounts are very common among health science students (64–96%) and less so for professional clinicians (13–47%). Adoption rates have increased sharply in the past 4 years. Wikipedia is widely used as a reference tool. Attempts at incorporating social media into clinical training have met with mixed success. Posting of unprofessional content and breaches of patient confidentiality, especially by students, are not uncommon and have prompted calls for social media guidelines.

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          Social Uses of Personal Health Information Within PatientsLikeMe, an Online Patient Community: What Can Happen When Patients Have Access to One Another’s Data

          Jeana H Frost, Michael Massagli (2008)
          Background This project investigates the ways in which patients respond to the shared use of what is often considered private information: personal health data. There is a growing demand for patient access to personal health records. The predominant model for this record is a repository of all clinically relevant health information kept securely and viewed privately by patients and their health care providers. While this type of record does seem to have beneficial effects for the patient–physician relationship, the complexity and novelty of these data coupled with the lack of research in this area means the utility of personal health information for the primary stakeholders—the patients—is not well documented or understood. Objective PatientsLikeMe is an online community built to support information exchange between patients. The site provides customized disease-specific outcome and visualization tools to help patients understand and share information about their condition. We begin this paper by describing the components and design of the online community. We then identify and analyze how users of this platform reference personal health information within patient-to-patient dialogues. Methods Patients diagnosed with amyotrophic lateral sclerosis (ALS) post data on their current treatments, symptoms, and outcomes. These data are displayed graphically within personal health profiles and are reflected in composite community-level symptom and treatment reports. Users review and discuss these data within the Forum, private messaging, and comments posted on each other’s profiles. We analyzed member communications that referenced individual-level personal health data to determine how patient peers use personal health information within patient-to-patient exchanges. Results Qualitative analysis of a sample of 123 comments (about 2% of the total) posted within the community revealed a variety of commenting and questioning behaviors by patient members. Members referenced data to locate others with particular experiences to answer specific health-related questions, to proffer personally acquired disease-management knowledge to those most likely to benefit from it, and to foster and solidify relationships based on shared concerns. Conclusions Few studies examine the use of personal health information by patients themselves. This project suggests how patients who choose to explicitly share health data within a community may benefit from the process, helping them engage in dialogues that may inform disease self-management. We recommend that future designs make each patient’s health information as clear as possible, automate matching of people with similar conditions and using similar treatments, and integrate data into online platforms for health conversations.
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            Online posting of unprofessional content by medical students.

            Terry Kind, Jean-Paul Chretien, Katherine C. Chretien … (2009)
            Web 2.0 applications, such as social networking sites, are creating new challenges for medical professionalism. The scope of this problem in undergraduate medical education is not well-defined. To assess the experience of US medical schools with online posting of unprofessional content by students and existing medical school policies to address online posting. An anonymous electronic survey was sent to deans of student affairs, their representatives, or counterparts from each institution in the Association of American Medical Colleges. Data were collected in March and April 2009. Percentage of schools reporting incidents of students posting unprofessional content online, type of professionalism infraction, disciplinary actions taken, existence of institution policies, and plans for policy development. Sixty percent of US medical schools responded (78/130). Of these schools, 60% (47/78) reported incidents of students posting unprofessional online content. Violations of patient confidentiality were reported by 13% (6/46). Student use of profanity (52%; 22/42), frankly discriminatory language (48%; 19/40), depiction of intoxication (39%; 17/44), and sexually suggestive material (38%; 16/42) were commonly reported. Of 45 schools that reported an incident and responded to the question about disciplinary actions, 30 gave informal warning (67%) and 3 reported student dismissal (7%). Policies that cover student-posted online content were reported by 38% (28/73) of deans. Of schools without such policies, 11% (5/46) were actively developing new policies to cover online content. Deans reporting incidents were significantly more likely to report having such a policy (51% vs 18%; P = .006), believing these issues could be effectively addressed (91% vs 63%; P = .003), and having higher levels of concern (P = .02). Many responding schools had incidents of unprofessional student online postings, but they may not have adequate policy in place.
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              Integrating social media into emergency-preparedness efforts.

              Raina M Merchant, Stacy Elmer, Nicole Lurie (2011)
              Article 0 comments Cited 100 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (nlm-ta): J Am Med Inform Assoc
                Journal ID (iso-abbrev): J Am Med Inform Assoc
                Journal ID (publisher-id): jamia
                Journal ID (hwp): amiajnl
                Title: Journal of the American Medical Informatics Association : JAMIA
                Publisher: BMJ Group (BMA House, Tavistock Square, London, WC1H 9JR )
                ISSN (Print): 1067-5027
                ISSN (Electronic): 1527-974X
                Publication date (Electronic): 3 July 2012
                Publication date (Print): Sep-Oct 2012
                Publication date PMC-release: 3 July 2012
                Volume: 19
                Issue: 5
                Pages: 777-781
                Affiliations
                [1 ]Division of Biomedical Informatics, University of California, San Diego, California, USA
                [2 ]Doximity, Inc, San Mateo, California, USA
                [3 ]Division of Biomedical Informatics, University of California, San Diego, California, USA
                Author notes
                Correspondence to Dr Lucila Ohno-Machado, University of California, San Diego, Division of Biomedical Informatics, 9500 Gilman Dr., Bldg 2 #0728, La Jolla, CA 92093 0728, USA; lohnomachado@ 123456ucsd.edu
                Article
                Publisher ID: amiajnl-2012-000990
                DOI: 10.1136/amiajnl-2012-000990
                PMC ID: 3422846
                PubMed ID: 22759618
                SO-VID: 4678c65f-4ff8-4e57-bad4-a16b5197e615
                Copyright © © 2012, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
                License:

                This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.

                History
                Date received : 6 April 2012
                Date accepted : 4 June 2012
                Categories
                Subject: Brief Communication
                Subject: 1506

                ScienceOpen disciplines: Bioinformatics & Computational biology
                Keywords: predictive modeling,social networking,web 2.0,social media,statistical learning,facebook,machine learning
                Data availability:
                ScienceOpen disciplines: Bioinformatics & Computational biology
                Keywords: predictive modeling, social networking, web 2.0, social media, statistical learning, facebook, machine learning

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