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Identification of validated case definitions for chronic disease using electronic medical records: a systematic review protocol
BACKGROUND: Primary care electronic medical record (EMR) data are being used for research, surveillance, and clinical monitoring. To broaden the reach and usability of EMR data, case definitions must be specified to identify and characterize important chronic conditions. The purpose of this study is...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5322672/ https://www.ncbi.nlm.nih.gov/pubmed/28231810 http://dx.doi.org/10.1186/s13643-017-0431-9 |
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author | Souri, Sepideh Symonds, Nicola E. Rouhi, Azin Lethebe, Brendan C. Garies, Stephanie Ronksley, Paul E. Williamson, Tyler S. Fabreau, Gabriel E. Birtwhistle, Richard Quan, Hude McBrien, Kerry A. |
author_facet | Souri, Sepideh Symonds, Nicola E. Rouhi, Azin Lethebe, Brendan C. Garies, Stephanie Ronksley, Paul E. Williamson, Tyler S. Fabreau, Gabriel E. Birtwhistle, Richard Quan, Hude McBrien, Kerry A. |
author_sort | Souri, Sepideh |
collection | PubMed |
description | BACKGROUND: Primary care electronic medical record (EMR) data are being used for research, surveillance, and clinical monitoring. To broaden the reach and usability of EMR data, case definitions must be specified to identify and characterize important chronic conditions. The purpose of this study is to identify all case definitions for a set of chronic conditions that have been tested and validated in primary care EMR and EMR-linked data. This work will provide a reference list of case definitions, together with their performance metrics, and will identify gaps where new case definitions are needed. METHODS: We will consider a set of 40 chronic conditions, previously identified as potentially important for surveillance in a review of multimorbidity measures. We will perform a systematic search of the published literature to identify studies that describe case definitions for clinical conditions in EMR data and report the performance of these definitions. We will stratify our search by studies that use EMR data alone and those that use EMR-linked data. We will compare the performance of different definitions for the same conditions and explore the influence of data source, jurisdiction, and patient population. DISCUSSION: EMR data from primary care providers can be compiled and used for benefit by the healthcare system. Not only does this work have the potential to further develop disease surveillance and health knowledge, EMR surveillance systems can provide rapid feedback to participating physicians regarding their patients. Existing case definitions will serve as a starting point for the development and validation of new case definitions and will enable better surveillance, research, and practice feedback based on detailed clinical EMR data. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016040020 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13643-017-0431-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5322672 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53226722017-03-01 Identification of validated case definitions for chronic disease using electronic medical records: a systematic review protocol Souri, Sepideh Symonds, Nicola E. Rouhi, Azin Lethebe, Brendan C. Garies, Stephanie Ronksley, Paul E. Williamson, Tyler S. Fabreau, Gabriel E. Birtwhistle, Richard Quan, Hude McBrien, Kerry A. Syst Rev Protocol BACKGROUND: Primary care electronic medical record (EMR) data are being used for research, surveillance, and clinical monitoring. To broaden the reach and usability of EMR data, case definitions must be specified to identify and characterize important chronic conditions. The purpose of this study is to identify all case definitions for a set of chronic conditions that have been tested and validated in primary care EMR and EMR-linked data. This work will provide a reference list of case definitions, together with their performance metrics, and will identify gaps where new case definitions are needed. METHODS: We will consider a set of 40 chronic conditions, previously identified as potentially important for surveillance in a review of multimorbidity measures. We will perform a systematic search of the published literature to identify studies that describe case definitions for clinical conditions in EMR data and report the performance of these definitions. We will stratify our search by studies that use EMR data alone and those that use EMR-linked data. We will compare the performance of different definitions for the same conditions and explore the influence of data source, jurisdiction, and patient population. DISCUSSION: EMR data from primary care providers can be compiled and used for benefit by the healthcare system. Not only does this work have the potential to further develop disease surveillance and health knowledge, EMR surveillance systems can provide rapid feedback to participating physicians regarding their patients. Existing case definitions will serve as a starting point for the development and validation of new case definitions and will enable better surveillance, research, and practice feedback based on detailed clinical EMR data. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016040020 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13643-017-0431-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-23 /pmc/articles/PMC5322672/ /pubmed/28231810 http://dx.doi.org/10.1186/s13643-017-0431-9 Text en © The Author(s). 2017 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 | Protocol Souri, Sepideh Symonds, Nicola E. Rouhi, Azin Lethebe, Brendan C. Garies, Stephanie Ronksley, Paul E. Williamson, Tyler S. Fabreau, Gabriel E. Birtwhistle, Richard Quan, Hude McBrien, Kerry A. Identification of validated case definitions for chronic disease using electronic medical records: a systematic review protocol |
title | Identification of validated case definitions for chronic disease using electronic medical records: a systematic review protocol |
title_full | Identification of validated case definitions for chronic disease using electronic medical records: a systematic review protocol |
title_fullStr | Identification of validated case definitions for chronic disease using electronic medical records: a systematic review protocol |
title_full_unstemmed | Identification of validated case definitions for chronic disease using electronic medical records: a systematic review protocol |
title_short | Identification of validated case definitions for chronic disease using electronic medical records: a systematic review protocol |
title_sort | identification of validated case definitions for chronic disease using electronic medical records: a systematic review protocol |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5322672/ https://www.ncbi.nlm.nih.gov/pubmed/28231810 http://dx.doi.org/10.1186/s13643-017-0431-9 |
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