教育:一项国际性,随机对照试验,用于教导心电学
Anthony H Kashou1, Peter A Noseworthy1, Thomas J Beckman1
1Department of Cardiovascular Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.
Current problems in cardiology
|January 17, 2024
概括
基于网络的学习显著改善了医疗保健专业人员的心电图 (ECG) 解释技能. 自主干预,如问题库和讲座,为提高ECG能力提供了实际的,基于证据的解决方案.
科学领域:
- 医学教育 医学教育
- 心脏病学 心脏病学
- 数字健康数字健康
背景情况:
- 医疗保健专业人员在心电图 (ECG) 解释技能方面表现出显著的差距.
- 现有的ECG学习解决方案缺乏实用性,证据基础和可访问性.
研究的目的:
- 评估基于网络的,以学习者为导向的干预措施在提高ECG解释技能的有效性.
- 评估ECG学习解决方案,用于各种各样的医疗保健专业人员.
主要方法:
- 国际前性随机受控试验与1206名医疗保健专业人员.
- 四组:ECG问题库,讲座,混合和控制 (没有资源).
- 干预前后测试评估四个月的ECG解释性能.
主要成果:
- 所有干预组 (问卷库,讲座,混合) 均显示出显著的ECG解释技能提高 (11.4%,9.8%,11.0%的平均得分增加).
- 对照组没有显著改善 (0.8%).
- 干预组在调整后的得分和信心方面表现明显优于对照组.
结论:
- 基于网络的,自我指导的干预有效地提高了ECG解释技能.
- 这些可访问,基于证据的解决方案解决了医疗保健专业人员的关键能力差距.
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