A mapping algorithm for International Classification of Diseases 10th Revision codes for congenital heart surgery benchmark procedures.

A mapping algorithm for International Classification of Diseases 10th Revision codes for congenital heart surgery benchmark procedures.
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DOI:
10.1016/j.jtcvs.2021.10.015
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发表时间:
2022-06
影响因子:
6
通讯作者:
Karamlou, Tara
Karamlou, Tara
中科院分区:
医学1区
文献类型:
--
作者:
Zafar, Farhan;Allen, Philip;Bryant, Roosevelt, III;Tweddell, James S.;Najm, Hani K.;Anderson, Brett R.;Karamlou, Tara

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行政计费数据对于先天性心脏病手术中的许多举措至关重要。国际疾病分类第10版诊断和手术代码与临床登记手术定义的映射算法将允许识别手术病例,并在管理数据中考虑患者和手术因素。我们的目标是开发crosswalk国际疾病分类的映射逻辑,第10次修订程序代码到10个胸外科学会先天性心脏手术数据库基准,并对算法进行β测试。确定了2015年至2019年接受胸外科学会先天性心脏手术数据库基准手术的患者,并将其作为金标准。病例通过直接标识符与儿科健康信息系统数据库中的病例相关联。两个独立的团队开发了基于国际疾病分类第10版的病例捕获算法。算法进行了比较和迭代完善,以优化灵敏度和特异性。比较了管理数据与登记数据中确定的病例的手术死亡率。使用国际疾病分类第10次修订版代码捕获基准操作的总体灵敏度为91%,特异性为99%。在识别10个单独基准程序中的6个方面的灵敏度超过90%,在识别Fontan、Glenn和动脉转位伴室间隔缺损程序方面的灵敏度超过98%。所有基准操作的特异性均超过98%。管理数据与登记数据中确定的病例之间的手术死亡率无统计学差异。国际疾病分类第10次修订程序代码的新型映射算法能够在管理计费数据中识别先天性心脏病基准程序。这条人行横道有助于基于人群的先天性心脏病手术研究和质量评估。基准手术的手术死亡率:行政登记与临床登记。
Administrative billing data are critical to many initiatives in congenital heart surgery. Mapping algorithms for International Classification of Disease, 10th Revision diagnosis and procedure codes to clinical registry procedure definitions will allow identification of surgical cases and account for patient and procedural factors within administrative data. Our objectives were to develop mapping logic to crosswalk International Classification of Disease, 10th Revision procedure codes to 10 Society of Thoracic Surgeons Congenital Heart Surgery Database benchmark and beta-test the algorithm. Patients undergoing Society of Thoracic Surgeons Congenital Heart Surgery Database benchmark procedures from 2015 to 2019 were identified and served as the gold standard. Cases were linked on direct identifiers to cases from the Pediatric Health Information System Database. Two independent teams developed International Classification of Disease, 10th Revision–based algorithms for cases capture. Algorithms were compared and iteratively refined to optimize sensitivity and specificity. Operative mortalities for cases identified in the administrative versus registry data were compared. Overall sensitivity was 91% and specificity was 99% for capture of benchmark operations using International Classification of Diseases 10th Revision codes. Sensitivity was more than 90% in identifying 6 of the 10 individual benchmark procedures and more than 98% sensitive in identifying Fontan, Glenn, and arterial switch with ventricular septal defect procedures. Specificity was more than 98% for all benchmark operations. There were no statistical differences in operative mortality between cases identified in the administrative versus the registry data. Novel mapping algorithm for International Classification of Disease, 10th Revision procedure codes enables identification of congenital heart benchmark procedures within administrative billing data. This crosswalk facilitates population-based congenital heart surgical research and quality assessment. Operative mortality rate for benchmark operations: administrative versus clinical registry.
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