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Search Engines to Capture Missing Deaths From Institutional Data Warehouse.

Authors :
Dayal, Yash S.
Foster, Dennis G.
Hao, Yilun
Bennett, Sasha G.
Brewster, Luke P.
Source :
Journal of Surgical Research. Feb2024, Vol. 294, p220-227. 8p.
Publication Year :
2024

Abstract

Clinical 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. We 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. Our 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. The 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. • Institutional database under-reported patient mortality. • Online databases were queried for missing mortality. • The online search engines (the Social Security Death Index and Find a Grave Index) doubled the capture rate. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00224804
Volume :
294
Database :
Academic Search Index
Journal :
Journal of Surgical Research
Publication Type :
Academic Journal
Accession number :
173969642
Full Text :
https://doi.org/10.1016/j.jss.2023.09.065