Social Media Use Among Orthopedic and Trauma Surgeons in Germany: Cross-Sectional Survey Study
Notice bibliographique
Résumé
BACKGROUND: Social media (SM) has gained importance in the health care sector as a means of communication and a source of information for physicians and patients. However, the scope of professional SM use by orthopedic and trauma surgeons remains largely unknown. OBJECTIVE: This study presents an overview of professional SM use among orthopedic and trauma surgeons in Germany in terms of the platforms used, frequency of use, and SM content management. METHODS: We developed a web-based questionnaire with 33 variables and 2 separate sections based on a review of current literature. This study analyzed the first section of the questionnaire and included questions on demographics, type of SM used, frequency of use, and SM content management. Statistical analysis was performed using SPSS (version 26.0). Subgroup analysis was performed for sex, age groups (<60 years vs ≥60 years), and type of workplace (practice vs hospital). Differences between groups were assessed with a chi-square test for categorical data. RESULTS: A total of 208 participants answered the questionnaire (166/208, 79.8% male), of whom 70.2% (146/208) were younger than 60 years and 77.4% (161/208) worked in a practice. All participants stated that they use SM for private and professional purposes. On average, participants used 1.6 SM platforms for professional purposes. More than half had separate SM accounts for private and professional use. The most frequently used SM platforms were messenger apps (119/200, 59.5%), employment-oriented SM (60/200, 30%), and YouTube (54/200, 27%). All other SM, including Facebook and Instagram, were only used by a minority of the participants. Women and younger participants were more likely to use Instagram (P<.001 and P=.03, respectively). The participants working in a hospital were more likely to use employment-oriented SM (P=.02) and messenger apps (P=.009) than participants working in a practice. In a professional context, 20.2% (39/193) of the participants produced their own content on SM, 24.9% (48/193) used SM daily, 39.9% (77/193) used SM during work, and 13.8% (26/188) stated that they checked the number of followers they had. Younger participants were more likely to have participated in professional SM training and to have separate private and professional accounts (P=.04 and P=.02, respectively). Younger participants tended toward increased production of their own content (P=.06). CONCLUSIONS: SM is commonly used for professional purposes by orthopedic and trauma surgeons in Germany. However, it seems that professional SM use is not exploited to its full potential, and a structured implementation into daily professional work routines is still lacking. SM can have a profound impact on medical practices and communication, so orthopedic and trauma surgeons in Germany should consider increasing their SM presence by actively contributing to SM.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».