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Identifying Quality Gaps in Preventive Care for Outpatients With Cirrhosis Within a Large, Academic Health Care System

We sought to identify specific gaps in preventive care provided to outpatients with cirrhosis and to determine factors associated with high quality of care (QOC), to guide quality improvement efforts. Outpatients with cirrhosis who received care at a large, academic tertiary health care system in th...

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Autores principales: Kardashian, Ani, Patel, Arpan A., Aby, Elizabeth S., Cusumano, Vivy T., Soroudi, Camille, Winters, Adam C., Wu, Eric, Beah, Peter, Delshad, Sean, Kim, Nathan, Yang, Liu, May, Folasade P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706302/
https://www.ncbi.nlm.nih.gov/pubmed/33305151
http://dx.doi.org/10.1002/hep4.1594
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author Kardashian, Ani
Patel, Arpan A.
Aby, Elizabeth S.
Cusumano, Vivy T.
Soroudi, Camille
Winters, Adam C.
Wu, Eric
Beah, Peter
Delshad, Sean
Kim, Nathan
Yang, Liu
May, Folasade P.
author_facet Kardashian, Ani
Patel, Arpan A.
Aby, Elizabeth S.
Cusumano, Vivy T.
Soroudi, Camille
Winters, Adam C.
Wu, Eric
Beah, Peter
Delshad, Sean
Kim, Nathan
Yang, Liu
May, Folasade P.
author_sort Kardashian, Ani
collection PubMed
description We sought to identify specific gaps in preventive care provided to outpatients with cirrhosis and to determine factors associated with high quality of care (QOC), to guide quality improvement efforts. Outpatients with cirrhosis who received care at a large, academic tertiary health care system in the United States were included. Twelve quality indicators (QIs), including preventive care processes for ascites, esophageal varices, hepatic encephalopathy, hepatocellular carcinoma (HCC), and general cirrhosis care, were measured. QI pass rates were calculated as the proportion of patients eligible for a QI who received that QI during the study period. We performed logistic regression to determine predictors of high QOC (≥ 75% of eligible QIs) and receipt of HCC surveillance. Of the 439 patients, the median age was 63 years, 59% were male, and 19% were Hispanic. The median Model for End‐Stage Liver Disease–Sodium score was 11, 64% were compensated, and 32% had hepatitis C virus. QI pass rates varied by individual QIs, but were overall low. For example, 24% received appropriate HCC surveillance, 32% received an index endoscopy for varices screening, and 21% received secondary prophylaxis for spontaneous bacterial peritonitis. In multivariable analyses, Asian race (odds ratio [OR]: 3.7, 95% confidence interval [CI]: 1.3‐10.2) was associated with higher QOC, and both Asian race (OR: 3.3, 95% CI: 1.2‐9.0) and decompensated status (OR: 2.1, 95% CI: 1.1‐4.2) were associated with receipt of HCC surveillance. A greater number of specialty care visits was not associated with higher QOC. Conclusion: Receipt of outpatient preventive cirrhosis QIs was variable and overall low in a diverse cohort of patients with cirrhosis. Variation in care by race/ethnicity and illness trajectory should prompt further inquiry into identifying modifiable factors to standardize care delivery and to improve QOC.
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spelling pubmed-77063022020-12-09 Identifying Quality Gaps in Preventive Care for Outpatients With Cirrhosis Within a Large, Academic Health Care System Kardashian, Ani Patel, Arpan A. Aby, Elizabeth S. Cusumano, Vivy T. Soroudi, Camille Winters, Adam C. Wu, Eric Beah, Peter Delshad, Sean Kim, Nathan Yang, Liu May, Folasade P. Hepatol Commun Original Articles We sought to identify specific gaps in preventive care provided to outpatients with cirrhosis and to determine factors associated with high quality of care (QOC), to guide quality improvement efforts. Outpatients with cirrhosis who received care at a large, academic tertiary health care system in the United States were included. Twelve quality indicators (QIs), including preventive care processes for ascites, esophageal varices, hepatic encephalopathy, hepatocellular carcinoma (HCC), and general cirrhosis care, were measured. QI pass rates were calculated as the proportion of patients eligible for a QI who received that QI during the study period. We performed logistic regression to determine predictors of high QOC (≥ 75% of eligible QIs) and receipt of HCC surveillance. Of the 439 patients, the median age was 63 years, 59% were male, and 19% were Hispanic. The median Model for End‐Stage Liver Disease–Sodium score was 11, 64% were compensated, and 32% had hepatitis C virus. QI pass rates varied by individual QIs, but were overall low. For example, 24% received appropriate HCC surveillance, 32% received an index endoscopy for varices screening, and 21% received secondary prophylaxis for spontaneous bacterial peritonitis. In multivariable analyses, Asian race (odds ratio [OR]: 3.7, 95% confidence interval [CI]: 1.3‐10.2) was associated with higher QOC, and both Asian race (OR: 3.3, 95% CI: 1.2‐9.0) and decompensated status (OR: 2.1, 95% CI: 1.1‐4.2) were associated with receipt of HCC surveillance. A greater number of specialty care visits was not associated with higher QOC. Conclusion: Receipt of outpatient preventive cirrhosis QIs was variable and overall low in a diverse cohort of patients with cirrhosis. Variation in care by race/ethnicity and illness trajectory should prompt further inquiry into identifying modifiable factors to standardize care delivery and to improve QOC. John Wiley and Sons Inc. 2020-09-09 /pmc/articles/PMC7706302/ /pubmed/33305151 http://dx.doi.org/10.1002/hep4.1594 Text en © 2020 The Authors. Hepatology Communications published by Wiley Periodicals LLC on behalf of American Association for the Study of Liver Diseases. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Kardashian, Ani
Patel, Arpan A.
Aby, Elizabeth S.
Cusumano, Vivy T.
Soroudi, Camille
Winters, Adam C.
Wu, Eric
Beah, Peter
Delshad, Sean
Kim, Nathan
Yang, Liu
May, Folasade P.
Identifying Quality Gaps in Preventive Care for Outpatients With Cirrhosis Within a Large, Academic Health Care System
title Identifying Quality Gaps in Preventive Care for Outpatients With Cirrhosis Within a Large, Academic Health Care System
title_full Identifying Quality Gaps in Preventive Care for Outpatients With Cirrhosis Within a Large, Academic Health Care System
title_fullStr Identifying Quality Gaps in Preventive Care for Outpatients With Cirrhosis Within a Large, Academic Health Care System
title_full_unstemmed Identifying Quality Gaps in Preventive Care for Outpatients With Cirrhosis Within a Large, Academic Health Care System
title_short Identifying Quality Gaps in Preventive Care for Outpatients With Cirrhosis Within a Large, Academic Health Care System
title_sort identifying quality gaps in preventive care for outpatients with cirrhosis within a large, academic health care system
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706302/
https://www.ncbi.nlm.nih.gov/pubmed/33305151
http://dx.doi.org/10.1002/hep4.1594
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