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Concordance Between Common Hypertension Control Algorithms in Electronic Medical Record Data
Because quality improvement metrics and treatment guidelines are used to conduct research, evaluate care quality, and assess population health, they should, ideally, align. We used electronic medical record data to analyze variation between blood pressure control estimates calculated by using thresh...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5609492/ https://www.ncbi.nlm.nih.gov/pubmed/28910594 http://dx.doi.org/10.5888/pcd14.170032 |
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author | Nielsen, Victoria M. Bettano, Amy Josephson, Mark Nasuti, Laura Ursprung, W.W. Sanouri |
author_facet | Nielsen, Victoria M. Bettano, Amy Josephson, Mark Nasuti, Laura Ursprung, W.W. Sanouri |
author_sort | Nielsen, Victoria M. |
collection | PubMed |
description | Because quality improvement metrics and treatment guidelines are used to conduct research, evaluate care quality, and assess population health, they should, ideally, align. We used electronic medical record data to analyze variation between blood pressure control estimates calculated by using thresholds derived from National Quality Forum 0018 (NQF 0018) and Joint National Committee (JNC) treatment guidelines in a cohort of patients with hypertension. Percentage of patients with controlled blood pressure derived from each quality improvement or treatment guideline cutoff varied up to 16.1 percentage points. This variance demonstrates that discrepancies in blood pressure thresholds produce considerable variation in estimates; thus, treatment guidance and metrics should be selected carefully. |
format | Online Article Text |
id | pubmed-5609492 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-56094922017-10-03 Concordance Between Common Hypertension Control Algorithms in Electronic Medical Record Data Nielsen, Victoria M. Bettano, Amy Josephson, Mark Nasuti, Laura Ursprung, W.W. Sanouri Prev Chronic Dis Brief Because quality improvement metrics and treatment guidelines are used to conduct research, evaluate care quality, and assess population health, they should, ideally, align. We used electronic medical record data to analyze variation between blood pressure control estimates calculated by using thresholds derived from National Quality Forum 0018 (NQF 0018) and Joint National Committee (JNC) treatment guidelines in a cohort of patients with hypertension. Percentage of patients with controlled blood pressure derived from each quality improvement or treatment guideline cutoff varied up to 16.1 percentage points. This variance demonstrates that discrepancies in blood pressure thresholds produce considerable variation in estimates; thus, treatment guidance and metrics should be selected carefully. Centers for Disease Control and Prevention 2017-09-14 /pmc/articles/PMC5609492/ /pubmed/28910594 http://dx.doi.org/10.5888/pcd14.170032 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Brief Nielsen, Victoria M. Bettano, Amy Josephson, Mark Nasuti, Laura Ursprung, W.W. Sanouri Concordance Between Common Hypertension Control Algorithms in Electronic Medical Record Data |
title | Concordance Between Common Hypertension Control Algorithms in Electronic Medical Record Data |
title_full | Concordance Between Common Hypertension Control Algorithms in Electronic Medical Record Data |
title_fullStr | Concordance Between Common Hypertension Control Algorithms in Electronic Medical Record Data |
title_full_unstemmed | Concordance Between Common Hypertension Control Algorithms in Electronic Medical Record Data |
title_short | Concordance Between Common Hypertension Control Algorithms in Electronic Medical Record Data |
title_sort | concordance between common hypertension control algorithms in electronic medical record data |
topic | Brief |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5609492/ https://www.ncbi.nlm.nih.gov/pubmed/28910594 http://dx.doi.org/10.5888/pcd14.170032 |
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