METHODS: Trauma quality collaborative data (2018-2019) was utilized. Inclusion criteria were patients age ≥18, ISS ≥5 and a length of stay ≥1 d. In-hospital deaths were excluded. A deterministic match was performed with insurance claims records based on the hospital name, date of birth, sex, and dates of service (±1 d). The effect of payer type, ZIP code, International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis specificity and exact dates of service on the match rate was analyzed.
RESULTS: The overall match rate between these two patient record sources was 27.5%. There was a significantly higher match rate (42.8% versus 6.1%, P < 0.001) for patients with a payer that was contained in the insurance collaborative. In a subanalysis, exact dates of service did not substantially affect this match rate; however, specific International Classification of Diseases, Tenth Revision, Clinical Modification codes (i.e., all 7 characters) reduced this rate by almost half.
CONCLUSIONS: We demonstrated the successful linkage of patient records in a trauma registry with their insurance claims. This will allow us to the collect longitudinal information so that we can follow these patients\' long-term outcomes and subsequently improve their care.
方法:使用创伤质量协作数据(2018-2019年)。纳入标准为患者年龄≥18,ISS≥5,住院时间≥1d。排除院内死亡。根据医院名称与保险索赔记录进行了确定性匹配,出生日期,性别,和服务日期(±1d)。付款人类型的影响,邮政编码,国际疾病分类,第十次修订,分析了临床修改诊断的特异性和确切的服务日期对匹配率的影响。
结果:这两个患者记录来源之间的总匹配率为27.5%。匹配率明显较高(42.8%对6.1%,P<0.001)对于保险合作中包含付款人的患者。在子分析中,确切的服务日期对这一匹配率没有实质性影响;然而,特定的国际疾病分类,第十次修订,临床修改代码(即,所有7个字符)将此速率降低了近一半。
结论:我们证明了创伤登记处患者记录与保险索赔之间的成功关联。这将使我们能够收集纵向信息,以便我们可以跟踪这些患者的长期结果,并随后改善他们的护理。