Search Engines to Capture Missing Deaths From Institutional Data Warehouse.

Search Engines to Capture Missing Deaths From Institutional Data Warehouse.
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搜索引擎从机构数据仓库中捕获失踪死亡人数。

DOI:
10.1016/j.jss.2023.09.065
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发表时间:
2024
期刊:
The Journal of surgical research
影响因子:
--
通讯作者:
Brewster,LukeP
Brewster,LukeP
中科院分区:
--
文献类型:
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作者:
Dayal,YashS;Foster,DennisG;Hao,Yilun;Bennett,SashaG;Brewster,LukeP

文献摘要

相似文献

前言临床出版物使用死亡率作为硬终点。目前尚不清楚有多少患者死亡在机构数据库中被漏报。本研究的目的是从我们的数据仓库中查询患者队列中的死亡率,并将这些死亡病例与不同数据库中识别的死亡病例进行比较。方法通过在线死亡搜索引擎(Find a Grave Index,US Cemtery and Funial Home Collection等)传递134名患者的名字/姓氏和出生日期。评估他们捕获患者死亡的能力,并将其与我们的机构数据仓库中记录的死亡人数进行比较。结果我们的机构数据仓库找到了大约三分之一的患者死亡总数。在社会保障死亡指数之后,我们发现发现坟墓指数捕捉到了机构数据仓库错过的最多的死亡人数。这些结果强调了将现成的搜索引擎整合到机构数据仓库中以准确收集患者死亡率的优势,尤其是发生在索引手术入院之外的那些。结论死亡率搜索引擎的整合显著增加了对患者死亡的捕捉。我们的方法对于量身定做的患者外展和用机构数据报告死亡率可能是有用的。
IntroductionClinical publications use mortality as a hard end point. It is unknown how many patient deaths are under-reported in institutional databases. The objective of this study was to query mortality in our patient cohort from our data warehouse and compare these deaths to those identified in different databases.MethodsWe passed the first/last name and date of birth of 134 patients through online mortality search engines (Find a Grave Index, US Cemetery and Funeral Home Collection, etc.) to assess their ability to capture patient deaths and compared that to deaths recorded from our institutional data warehouse.ResultsOur institutional data warehouse found approximately one-third of the total patient mortalities. After the Social Security Death Index, we found that the Find a Grave Index captured the most mortalities missed by the institutional data warehouse. These results highlight the advantages of incorporating readily available search engines into institutional data warehouses for the accurate collection of patient mortalities, particularly those that occur outside of index operative admission.ConclusionsThe incorporation of the mortality search engines significantly augmented the capture of patient deaths. Our approach may be useful for tailored patient outreach and reporting mortalities with institutional data.