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Record W3081137337 · doi:10.1097/jsm.0000000000000840

Social Media and the Sports Medicine Physician

2020· article· en· W3081137337 on OpenAlexaboutno aff

Bibliographic record

VenueClinical Journal of Sport Medicine · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media in Health Education
Canadian institutionsnot available
Fundersnot available
KeywordsSocial mediaHealth carePublic healthPopulationVariety (cybernetics)Sports medicine

Abstract

fetched live from OpenAlex

Social media is a mainstay in today's society. It is estimated that 3.5 billion people worldwide use some type of social media. In North America, there are 255 million social media users, accounting for nearly 70% of the total population of Canada and the United States. The percentage of users is similar in Australia, New Zealand, and the United Kingdom. The average social media user in these countries has 6.1 to 7.2 user accounts on a variety of platforms. The average user is on their social media accounts for 2.25 hours daily.1 Physicians and health care systems were not among the “early adapters” when it comes to social media, but more and more of our colleagues, nearly 80%,2 are now using social media on a regular basis. Some health care systems ban their staff physicians from using social media for professional purposes, some have strict guidelines on its use, while others encourage their providers to participate in regular use. In truth, physicians are just now scratching the surface of how social media can be used to benefit, and potentially harm, their practices and their patients. Among the most popular, public social media sites are Facebook (2.27 billion monthly users), YouTube (1.9 billion), and Instagram (1 billion); many physicians and physician organizations use these sites. The Clinical Journal of Sport Medicine (CJSM), for example, has public accounts on Facebook, YouTube, WordPress, Linked In, and Twitter, and CJSM blogs and podcasts appear on Reddit. There are also physician-only social media sites such as Sermo and Doximity, which are gaining popularity. Physicians use social media in different ways. The majority, an estimated 90%, are simply consumers; they use social media to find and read information relevant to patient care and their practices, but they don't actively create content or engage in online discussions, group chats, or even comment on someone else's post. Those of us who are simple consumers assume very little risk. Monitoring sites and individuals to gather information about new studies, read expert opinions, or follow the ever-changing landscape of health care delivery is helpful, but we are acting only as an observer. When a clinician starts to actively participate, the level of risk changes. Recently, a pediatrician in southern Ohio posted a video on a social media site regarding vaccinations in children, which was met with significant backlash from the general public. Comments included personal insults and threats to her practice and personal well-being. There are many other similar stories. Physicians, therefore, need to be cautious when deciding to “hit send,” when using social media. When treating patients, we are constantly comparing benefits and risks; we need to do the same when considering the use of social media. Potential professional benefits include staying connected to colleagues across the globe, networking, keeping up to date with medical literature, and developing one's physician, practice, or system brand. Whether social media presence can improve patient care, patient education, or increase patient volumes remains to be seen, although these areas are of great interest to physicians. Possible risks include creating controversy within a community, alienating colleagues or the general public through posted content, and an area of great concern, violating patient privacy. Even a simple “congratulations on your championship victory” post to a specific individual could imply a patient–physician relationship, which could violate privacy laws. The American Medical Association Council on Ethical & Judicial Affairs published an opinion on the use of social media by physicians3 and suggests physicians to follow 3 basic principles: (1) maintain respect for human dignity and rights, (2) maintain honesty and uphold the standards of professionalism, and (3) physicians have a duty to safeguard patient confidences and privacy. Furthermore, if interacting with patients' online, they urge maintenance of appropriate boundaries of the patient–physician relationship as you would in any other situation. If physicians decide to build an online presence in this age of social media, considering the following may be of benefit: (1) keep your personal and professional social media accounts separate; (2) share medical information from reputable, peer-reviewed sources; (3) if sharing original content, stay evidence-based; (4) build your brand by sharing the positive aspects of what you do as a physician such as posts from volunteer event coverages, information about research you are involved in, awards and honors you have received, and not from being disparaging to others (even if they have been disparaging toward you); (5) avoid the temptation to engage in online sparring with patients, the general public, and other physicians; and (6) on your professional site(s), avoid “hot button” issues like general politics and religion. Before hitting the “send” button, be sure to review the content of your information and consider how your friends/followers may interpret your message. Physicians can build an online presence, which delivers the intended benefits while minimizing risks, but it does take significant effort and attention to detail. Be prepared to spend a meaningful amount of time monitoring your site(s) daily, update your content regularly, monitor responses to your posts, and stay up to date with information being shared from other sites. And remember, for every action, there is an equal and opposite reaction… plus a social media overreaction!

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.005
Scholarly communication0.0060.005
Open science0.0010.003
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0240.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.247
GPT teacher head0.505
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2020
Admission routes1
Has abstractyes

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