Measuring Mortality Information in Clinical Data Warehouses

The ability to track and report long-term outcomes, especially mortality, is essential for advancing clinical research. The purpose of this study was to present a framework for assessing the quality of mortality information in clinical research databases. Using the clinical data warehouse (CDW) at C...

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Autores principales: Jones, Barrett, Vawdrey, David K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525266/
https://www.ncbi.nlm.nih.gov/pubmed/26306284
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author Jones, Barrett
Vawdrey, David K.
author_facet Jones, Barrett
Vawdrey, David K.
author_sort Jones, Barrett
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description The ability to track and report long-term outcomes, especially mortality, is essential for advancing clinical research. The purpose of this study was to present a framework for assessing the quality of mortality information in clinical research databases. Using the clinical data warehouse (CDW) at Columbia University Medical Center as a case study, we measured: 1) agreement in vital status between our institution’s patient registration system and the U.S. Social Security Administration’s Death Master File (DMF), 2) the proportion of patients marked as deceased according to the DMF records who had subsequent visits to our institution, and 3) the proportion of patients still living according to Columbia’s CDW who were over 100 and 120 years of age. Of 33,295 deaths recorded in our institution’s patient registration system, 13,167 (39.5%) did not exist in the DMF. Of 315,037 patients in our CDW who marked as deceased according to the DMF, 2.1% had a subsequent clinical encounter at our institution. The proportion of patients still living according to Columbia’s CDW who were over 100 and 120 years of age was 43.6% and 43.1%, respectively. These measures may be useful to other clinical research investigators seeking to assess the quality of mortality data (1–4).
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spelling pubmed-45252662015-08-24 Measuring Mortality Information in Clinical Data Warehouses Jones, Barrett Vawdrey, David K. AMIA Jt Summits Transl Sci Proc Articles The ability to track and report long-term outcomes, especially mortality, is essential for advancing clinical research. The purpose of this study was to present a framework for assessing the quality of mortality information in clinical research databases. Using the clinical data warehouse (CDW) at Columbia University Medical Center as a case study, we measured: 1) agreement in vital status between our institution’s patient registration system and the U.S. Social Security Administration’s Death Master File (DMF), 2) the proportion of patients marked as deceased according to the DMF records who had subsequent visits to our institution, and 3) the proportion of patients still living according to Columbia’s CDW who were over 100 and 120 years of age. Of 33,295 deaths recorded in our institution’s patient registration system, 13,167 (39.5%) did not exist in the DMF. Of 315,037 patients in our CDW who marked as deceased according to the DMF, 2.1% had a subsequent clinical encounter at our institution. The proportion of patients still living according to Columbia’s CDW who were over 100 and 120 years of age was 43.6% and 43.1%, respectively. These measures may be useful to other clinical research investigators seeking to assess the quality of mortality data (1–4). American Medical Informatics Association 2015-03-25 /pmc/articles/PMC4525266/ /pubmed/26306284 Text en ©2015 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose
spellingShingle Articles
Jones, Barrett
Vawdrey, David K.
Measuring Mortality Information in Clinical Data Warehouses
title Measuring Mortality Information in Clinical Data Warehouses
title_full Measuring Mortality Information in Clinical Data Warehouses
title_fullStr Measuring Mortality Information in Clinical Data Warehouses
title_full_unstemmed Measuring Mortality Information in Clinical Data Warehouses
title_short Measuring Mortality Information in Clinical Data Warehouses
title_sort measuring mortality information in clinical data warehouses
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525266/
https://www.ncbi.nlm.nih.gov/pubmed/26306284
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