医学学生评估健康信息准确性的能力
Jwaher Almulhem1, Raniah Aldekhyyel1
1College of Medicine, King Saud University, Riyadh, Saudi Arabia.
医学学生可以有效地识别健康错误信息在社交媒体平台,如X (以前的推特) 针对性的研讨会后. 对于未来的医生来说,培训对于打击不准确的健康信息和确保患者安全至关重要.
科学领域:
- 医学教育 医学教育
- 医疗信息学 医疗信息学
- 社交媒体分析 社交媒体分析
背景情况:
- 人们越来越担心社交媒体平台上传播的健康信息的准确性.
- 医学学生必须培养对在线健康内容的批判性评估技能.
- X (以前的Twitter) 被确定为一个重要的健康信息共享平台.
研究的目的:
- 开发和评估一个工作坊,旨在提高本科医学生的能力,以评估健康信息的准确性X.
- 在平台上识别错误信息时分析学生的推理过程.
主要方法:
- 一个强制性的研讨会整合到医疗信息学课程的第三年本科医学学生.
- 学生们评估了20个预先选择的X帖子 (10个准确,10个错误信息) 并提供了开放式的推理.
- 153名学生参加了这次考试;主题分析被用来检查他们的推理.
主要成果:
- 93%的参与者准确地识别了所有出现的错误信息.
- 识别错误信息的关键指标包括未经验证的帐户/用户,缺乏证据,毫无意义的内容和模糊的术语.
- 54%的学生没有先前接受过识别社交媒体错误信息的培训.
结论:
- 结构化培训研讨会有效地为医学学生提供了批判性评估社交媒体健康信息的工具.
- 将错误信息检测纳入医疗课程中对于准备未来医疗保健专业人员至关重要.
- 提高识别准确健康信息的能力对于患者安全和可靠的医疗沟通至关重要.
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