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Utilization of Medical Codes for Hypotension in Shock Patients: A Retrospective Analysis

PURPOSE: To evaluate the utilization of hypotension diagnosis codes by shock type and year in known hypotensive patients. PATIENTS AND METHODS: Retrospective analysis of the Medicare fee-for-service claims database. Patients with a shock diagnosis code between 2011 and 2017 were identified using the...

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Autores principales: Hunley, Charles, Murphy, Shannon M E, Bershad, Michael, Yapici, Halit O
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064679/
https://www.ncbi.nlm.nih.gov/pubmed/33907412
http://dx.doi.org/10.2147/JMDH.S305985
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author Hunley, Charles
Murphy, Shannon M E
Bershad, Michael
Yapici, Halit O
author_facet Hunley, Charles
Murphy, Shannon M E
Bershad, Michael
Yapici, Halit O
author_sort Hunley, Charles
collection PubMed
description PURPOSE: To evaluate the utilization of hypotension diagnosis codes by shock type and year in known hypotensive patients. PATIENTS AND METHODS: Retrospective analysis of the Medicare fee-for-service claims database. Patients with a shock diagnosis code between 2011 and 2017 were identified using the International Classification of Diseases, Ninth and Tenth Revision, Clinical Modification (ICD-9-CM and ICD-10-CM). Based on specific ICD codes corresponding to each shock type, patients were classified into four mutually exclusive cohorts: cardiogenic shock, hypovolemic shock, septic shock, and other/unspecified shock. Annual proportion and counts of cases with at least one hypotension ICD code for each shock cohort were generated to produce 7-year medical code utilization trends. A Cochran-Armitage test for trend was performed to evaluate the statistical significance. RESULTS: A total of 2,200,275 shock patients were analyzed, 13.3% (n=292,192) of which received a hypotension code. Hypovolemic shock cases were the most likely to receive a hypotension code (18.02%, n=46,544), while septic shock cases had the lowest rate (11.48%, n=158,348). The proportion of patients with hypotension codes for other cohorts were 18.0% (n=46,544) for hypovolemic shock and 16.9% (n=32,024) for other/unspecified shock. The presence of hypotension codes decreased by 0.9% between 2011 and 2014, but significantly increased from 10.6% in 2014 to 17.9% in 2017 (p <0.0001, Z=−105.05). CONCLUSION: Hypotension codes are remarkably underutilized in known hypotensive patients. Patients, providers, and researchers are likely to benefit from improved hypotension coding practices.
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spelling pubmed-80646792021-04-26 Utilization of Medical Codes for Hypotension in Shock Patients: A Retrospective Analysis Hunley, Charles Murphy, Shannon M E Bershad, Michael Yapici, Halit O J Multidiscip Healthc Original Research PURPOSE: To evaluate the utilization of hypotension diagnosis codes by shock type and year in known hypotensive patients. PATIENTS AND METHODS: Retrospective analysis of the Medicare fee-for-service claims database. Patients with a shock diagnosis code between 2011 and 2017 were identified using the International Classification of Diseases, Ninth and Tenth Revision, Clinical Modification (ICD-9-CM and ICD-10-CM). Based on specific ICD codes corresponding to each shock type, patients were classified into four mutually exclusive cohorts: cardiogenic shock, hypovolemic shock, septic shock, and other/unspecified shock. Annual proportion and counts of cases with at least one hypotension ICD code for each shock cohort were generated to produce 7-year medical code utilization trends. A Cochran-Armitage test for trend was performed to evaluate the statistical significance. RESULTS: A total of 2,200,275 shock patients were analyzed, 13.3% (n=292,192) of which received a hypotension code. Hypovolemic shock cases were the most likely to receive a hypotension code (18.02%, n=46,544), while septic shock cases had the lowest rate (11.48%, n=158,348). The proportion of patients with hypotension codes for other cohorts were 18.0% (n=46,544) for hypovolemic shock and 16.9% (n=32,024) for other/unspecified shock. The presence of hypotension codes decreased by 0.9% between 2011 and 2014, but significantly increased from 10.6% in 2014 to 17.9% in 2017 (p <0.0001, Z=−105.05). CONCLUSION: Hypotension codes are remarkably underutilized in known hypotensive patients. Patients, providers, and researchers are likely to benefit from improved hypotension coding practices. Dove 2021-04-19 /pmc/articles/PMC8064679/ /pubmed/33907412 http://dx.doi.org/10.2147/JMDH.S305985 Text en © 2021 Hunley et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Hunley, Charles
Murphy, Shannon M E
Bershad, Michael
Yapici, Halit O
Utilization of Medical Codes for Hypotension in Shock Patients: A Retrospective Analysis
title Utilization of Medical Codes for Hypotension in Shock Patients: A Retrospective Analysis
title_full Utilization of Medical Codes for Hypotension in Shock Patients: A Retrospective Analysis
title_fullStr Utilization of Medical Codes for Hypotension in Shock Patients: A Retrospective Analysis
title_full_unstemmed Utilization of Medical Codes for Hypotension in Shock Patients: A Retrospective Analysis
title_short Utilization of Medical Codes for Hypotension in Shock Patients: A Retrospective Analysis
title_sort utilization of medical codes for hypotension in shock patients: a retrospective analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064679/
https://www.ncbi.nlm.nih.gov/pubmed/33907412
http://dx.doi.org/10.2147/JMDH.S305985
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