一种基于索赔的方法,用于识别和描述执业的干预放射科医生
Mikki D Waid1, Elizabeth Y Rula1, C Matthew Hawkins2
1Harvey L. Neiman Health Policy Institute, American College of Radiology, Reston, Virginia.
Journal of vascular and interventional radiology : JVIR
|March 6, 2024
概括
使用索赔数据识别执业的干预放射科医生 (IR) 是具有挑战性的,因为大多数都是错误分类的. 使用IR工作百分比的新方法提高了研究和可比性的准确性.
科学领域:
- 放射学 放射学是一门学科.
- 医疗保健服务研究 医疗服务研究
- 医疗信息学 医疗信息学
背景情况:
- 准确识别执业的干预放射科医生 (IR) 对于研究和医疗分析至关重要.
- 目前的索赔数据经常错误地分类执行IR程序的放射科医生,主要将他们指定为诊断放射科医生.
研究的目的:
- 提出和验证一种新的研究方法,用于识别使用国家索赔数据的实践干预放射科医生.
- 评估基于值的方法对IR工作量的有效性,以准确识别专业.
主要方法:
- 使用了100%的医疗保险B部分和Optum Clinformatics Data Mart (CDM) 的索赔数据 (2015-2019年).
- 根据干预性放射学 (IR) 相关工作 (RVU) 的百分比排名放射科医生.
- 使用医疗保险自指定专业和干预放射学学会 (SIR) 会员资格的验证结果,采用尤登指数和后勤回归.
主要成果:
- 执行IR工作的放射科医生中有很大一部分在索赔数据中没有被指定为IR工作,尤其是在较低的IR工作值时.
- 随着IR工作百分比上升的门 (10%,50%,90%) 逐渐发现了更多的实践干预放射科医生.
- 通过这种方法识别的实践干预放射科医生更有可能是男性,大都会的,并在他们的职业生涯的早期.
结论:
- 索赔数据的专业名称不足以准确识别执业的干预放射科医生.
- 基于IR相关工作量百分比的拟议方法为基于索赔的IR研究提供了更可概括和可比的方法.
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