Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts.
Pharmacoepidemiol Drug Saf. 2020 Jul;29(7):770-777. doi: 10.1002/pds.4933. Epub 2019 Dec 18.
The Centers for Medicare and Medicaid Services (CMS) mandated the transition from ICD-9 to ICD-10 codes on October 1, 2015. Postmarketing surveillance of newly marketed drugs, including novel biologics and biosimilars, requires a robust approach to convert ICD-9 to ICD-10 codes for study variables. We examined three mapping methods for health conditions (HCs) of interest to the Biologics and Biosimilars Collective Intelligence Consortium (BBCIC) and compared their prevalence.
Using CMS General Equivalence Mappings, we applied forward-backward mapping (FBM) to 108 HCs and secondary mapping (SM) and tertiary mapping (TM) to seven preselected HCs. A physician reviewed the mapped ICD-10 codes. The prevalence of the 108 HCs defined by ICD-9 versus ICD-10 codes was examined in BBCIC's distributed research network (September 1, 2012 to March 31, 2018). We visually assessed prevalence trends of these HCs and applied a threshold of 20% level change in ICD-9 versus ICD-10 prevalence.
Nearly four times more ICD-10 codes were mapped by SM and TM than FBM, but most were irrelevant or nonspecific. For conditions like myocardial infarction, SM or TM did not generate additional ICD-10 codes. Through visual inspection, one-fifth of the HCs had inconsistent ICD-9 versus ICD-10 prevalence trends. 13% of HCs had a level change greater than +/-20%.
FBM is generally the most efficient way to convert ICD-9 to ICD-10 codes, yet manual review of converted ICD-10 codes is recommended even for FBM. The lack of existing guidance to compare the performance of ICD-9 with ICD-10 codes led to challenges in empirically determining the quality of conversions.
医疗保险和医疗补助服务中心(CMS)要求于 2015 年 10 月 1 日从 ICD-9 过渡到 ICD-10 代码。对新上市药物(包括新型生物制剂和生物类似药)的上市后监测需要一种强大的方法来转换 ICD-9 到研究变量的 ICD-10 代码。我们检查了对生物制剂和生物类似药集体智慧联盟(BBCIC)感兴趣的三种健康状况(HC)的映射方法,并比较了它们的流行率。
使用 CMS 通用等效映射,我们对 108 种 HC 应用了正向-反向映射(FBM),对七种预先选定的 HC 应用了二次映射(SM)和三次映射(TM)。一名医生审查了映射后的 ICD-10 代码。在 BBCIC 的分布式研究网络中(2012 年 9 月 1 日至 2018 年 3 月 31 日),检查了由 ICD-9 定义的 108 种 HC 与 ICD-10 代码的流行率。我们对这些 HC 的流行趋势进行了直观评估,并应用了 ICD-9 与 ICD-10 流行率变化 20%的阈值。
SM 和 TM 比 FBM 映射出的 ICD-10 代码几乎多出四倍,但大多数都是无关或不具体的。对于心肌梗死等疾病,SM 或 TM 没有生成额外的 ICD-10 代码。通过直观检查,五分之一的 HC 具有不一致的 ICD-9 与 ICD-10 流行趋势。13%的 HC 有 +/-20%的水平变化。
FBM 通常是将 ICD-9 转换为 ICD-10 代码的最有效方法,但即使对于 FBM,也建议对转换后的 ICD-10 代码进行手动审查。缺乏比较 ICD-9 与 ICD-10 代码性能的现有指南,导致在经验上确定转换质量方面存在挑战。