Complejidad del Lenguaje Modela la Interacción con Información Ortopédica en Redes Sociales: Un Análisis Prospectivo

Área de la Ciencia:

• Orthopaedic Surgery
• Medical Communication
• Digital Health

Sus antecedentes:

• Social media is a key source of health information for patients.
• Patients often prefer simplified language in medical contexts.
• Optimizing orthopaedic content on social media requires understanding language complexity.

Objetivo del estudio:

• To compare engagement metrics for original versus simplified orthopaedic patient education materials (PEMs) on social media.
• To evaluate the impact of language complexity on patient engagement with orthopaedic content online.

Principales métodos:

• 31 American Academy of Orthopaedic Surgeons PEMs were adapted into simplified versions using AI.
• Original and simplified PEMs were posted on separate social media accounts.
• Engagement metrics (views, likes, time spent) were collected and compared.

Principales resultados:

• Simplified posts had similar views to original posts (21,682 vs. 21,380).
• Original, complex posts received significantly more likes (39.58 vs. 22.83) and longer viewing time (86.04 vs. 58.91 minutes).
• Spine-related content demonstrated the highest engagement across all metrics.

Conclusiones:

• Complex orthopaedic content may drive higher engagement (likes, time spent) than simplified versions.
• A balance between content complexity and accessibility is crucial for effective social media dissemination.
• Spine content's high engagement may reflect its clinical prevalence.