在入住医院开始时进行认真查:早期发现专业性问题
Christopher M Haymaker1, Kristi VanDerKolk2, Megan Rhodes1
1Western Michigan Homer Stryker MD School of Medicine, Kalamazoo, MI.
PRiMER (Leawood, Kan.)
|April 29, 2024
概括
一个新的工具可以识别有专业性问题的风险的医疗住院人员,例如不良的任务完成. 早期识别可以及时进行干预和支持,改善居民的结果和计划的成功.
科学领域:
- 医疗教育 医学教育
- 居民培训 居民培训
- 医学中的专业精神
背景情况:
- 早期识别面临专业化挑战的居民对于防止个人及其培训计划的负面结果至关重要.
- 专业性的挑战可以表现为及时完成任务的困难,影响患者护理和计划效率.
研究的目的:
- 开发和验证用于早期识别面临专业性挑战风险的居民的工具.
- 区分专业性问题 (任务完成) 和住院医疗知识缺陷.
主要方法:
- 通过跟踪居民在居住之前完成的入学任务,开发了一个工具.
- 居民被根据他们完成任务的"有风险"分数进行分类.
- 这些分数与培训中的考试 (ITE) 分数进行了比较,以评估专业性和医学知识的预测有效性.
主要成果:
- 开发的"处于风险"工具准确地预测了及时完成图表的速度和修复的需要 (费舍尔的确切P<.001).
- 该工具无法预测培训中的考试 (ITE) 成绩,这表明它对专业知识而不是医学知识的特殊性.
结论:
- 可以使用易于获取的信息来识别面临不良任务完成风险的居民.
- 早期识别可以为处于风险的居民提供有针对性的支持和发展组织技能.
- 实施该工具可以增强早期干预的机会,潜在地改善居民的表现和计划的成功.
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