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Enregistrement W3081137337 · doi:10.1097/jsm.0000000000000840

Social Media and the Sports Medicine Physician

2020· article· en· W3081137337 sur OpenAlexaboutno aff

Notice bibliographique

RevueClinical Journal of Sport Medicine · 2020
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSocial Media in Health Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSocial mediaHealth carePublic healthPopulationVariety (cybernetics)Sports medicine

Résumé

récupéré en direct d'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!

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,015
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,024
Score d'incertitude au seuil0,081

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,015
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0040,005
Communication savante0,0060,005
Science ouverte0,0010,003
Intégrité de la recherche0,0060,006
Charge utile insuffisante (le modèle a refusé de juger)0,0240,005

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,247
Tête enseignante GPT0,505
Écart entre enseignants0,257 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2020
Routes d'admission1
Résumé présentoui

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