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A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample
BACKGROUND: The growing availability of electronic health records (EHRs) in the US could provide researchers with a more detailed and clinically relevant alternative to using claims-based data. METHODS: In this study we compared a very large EHR database (Health Facts©) to a well-established populat...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4572624/ https://www.ncbi.nlm.nih.gov/pubmed/26373538 http://dx.doi.org/10.1186/s12913-015-1025-7 |
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author | DeShazo, Jonathan P. Hoffman, Mark A. |
author_facet | DeShazo, Jonathan P. Hoffman, Mark A. |
author_sort | DeShazo, Jonathan P. |
collection | PubMed |
description | BACKGROUND: The growing availability of electronic health records (EHRs) in the US could provide researchers with a more detailed and clinically relevant alternative to using claims-based data. METHODS: In this study we compared a very large EHR database (Health Facts©) to a well-established population estimate (Nationwide Inpatient Sample). Weighted comparisons were made using t-value and relative difference over diagnoses and procedures for the year 2010. RESULTS: The two databases have a similar distribution pattern across all data elements, with 24 of 50 data elements being statistically similar between the two data sources. In general, differences that were found are consistent across diagnosis and procedures categories and were specific to the psychiatric–behavioral and obstetrics–gynecology services areas. CONCLUSIONS: Large EHR databases have the potential to be a useful addition to health services researchers, although they require different analytic techniques compared to administrative databases; more research is needed to understand the differences. |
format | Online Article Text |
id | pubmed-4572624 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45726242015-09-18 A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample DeShazo, Jonathan P. Hoffman, Mark A. BMC Health Serv Res Research Article BACKGROUND: The growing availability of electronic health records (EHRs) in the US could provide researchers with a more detailed and clinically relevant alternative to using claims-based data. METHODS: In this study we compared a very large EHR database (Health Facts©) to a well-established population estimate (Nationwide Inpatient Sample). Weighted comparisons were made using t-value and relative difference over diagnoses and procedures for the year 2010. RESULTS: The two databases have a similar distribution pattern across all data elements, with 24 of 50 data elements being statistically similar between the two data sources. In general, differences that were found are consistent across diagnosis and procedures categories and were specific to the psychiatric–behavioral and obstetrics–gynecology services areas. CONCLUSIONS: Large EHR databases have the potential to be a useful addition to health services researchers, although they require different analytic techniques compared to administrative databases; more research is needed to understand the differences. BioMed Central 2015-09-15 /pmc/articles/PMC4572624/ /pubmed/26373538 http://dx.doi.org/10.1186/s12913-015-1025-7 Text en © DeShazo and Hoffman. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article DeShazo, Jonathan P. Hoffman, Mark A. A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample |
title | A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample |
title_full | A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample |
title_fullStr | A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample |
title_full_unstemmed | A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample |
title_short | A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample |
title_sort | comparison of a multistate inpatient ehr database to the hcup nationwide inpatient sample |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4572624/ https://www.ncbi.nlm.nih.gov/pubmed/26373538 http://dx.doi.org/10.1186/s12913-015-1025-7 |
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