使用CHAID分析检查医学学生的同理心水平
1Department of Educational Sciences, Dicle University, Diyarbakir, Turkey. nesrin_hark@hotmail.com.
BMC medical education
|May 19, 2025
概括
医学学生 医学学生
科学领域:
- 医学教育 医学教育
- 心理学 心理学 心理学
- 社会学 社会学 社会学
背景情况:
- 同理心对于有效的医生患者关系和改善患者结果至关重要.
- 了解医学学生的同理心水平对于提高医疗保健质量至关重要.
- 影响同情心的因素需要调查,以告知有针对性的干预措施.
研究的目的:
- 为了调查医学学生之间的同理心水平.
- 确定影响医学学生同情心的关键因素.
- 使用先进的分析方法来预测同理心水平.
主要方法:
- 在322名医学学生中使用了关系性查模型.
- 通过"个人信息表格"和"同情度量表"收集的数据.
- 用CHAID分析和机器学习算法进行预测和分类.
主要成果:
- 观察到41.3%的高同情度,44.7%的中度同情度,14.0%的低同情度.
- 父母的教育,母亲的职业和性别显著影响了同情心.
- 机器学习模型在预测同情心方面实现了80.1%的准确性.
结论:
- 有针对性的教育和社会干预可以增强医学学生的同理心.
- 解决性别差异对于同理心的发展尤为重要.
- 改善未来医生的同情心可以导致更好的病人护理.
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