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Development of a Charge Adjustment Model for Cardiac Catheterization

A methodology that would allow for comparison of charges across institutions has not been developed for catheterization in congenital heart disease. A single institution catheterization database with prospectively collected case characteristics was linked to hospital charges related and limited to a...

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Autores principales: Brennan, Andrew, Gauvreau, Kimberlee, Connor, Jean, O’Connell, Cheryl, David, Sthuthi, Almodovar, Melvin, DiNardo, James, Banka, Puja, Mayer, John E., Marshall, Audrey C., Bergersen, Lisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4303716/
https://www.ncbi.nlm.nih.gov/pubmed/25113520
http://dx.doi.org/10.1007/s00246-014-0994-3
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author Brennan, Andrew
Gauvreau, Kimberlee
Connor, Jean
O’Connell, Cheryl
David, Sthuthi
Almodovar, Melvin
DiNardo, James
Banka, Puja
Mayer, John E.
Marshall, Audrey C.
Bergersen, Lisa
author_facet Brennan, Andrew
Gauvreau, Kimberlee
Connor, Jean
O’Connell, Cheryl
David, Sthuthi
Almodovar, Melvin
DiNardo, James
Banka, Puja
Mayer, John E.
Marshall, Audrey C.
Bergersen, Lisa
author_sort Brennan, Andrew
collection PubMed
description A methodology that would allow for comparison of charges across institutions has not been developed for catheterization in congenital heart disease. A single institution catheterization database with prospectively collected case characteristics was linked to hospital charges related and limited to an episode of care in the catheterization laboratory for fiscal years 2008–2010. Catheterization charge categories (CCC) were developed to group types of catheterization procedures using a combination of empiric data and expert consensus. A multivariable model with outcome charges was created using CCC and additional patient and procedural characteristics. In 3 fiscal years, 3,839 cases were available for analysis. Forty catheterization procedure types were categorized into 7 CCC yielding a grouper variable with an R (2) explanatory value of 72.6 %. In the final CCC, the largest proportion of cases was in CCC 2 (34 %), which included diagnostic cases without intervention. Biopsy cases were isolated in CCC 1 (12 %), and percutaneous pulmonary valve placement alone made up CCC 7 (2 %). The final model included CCC, number of interventions, and cardiac diagnosis (R (2) = 74.2 %). Additionally, current financial metrics such as APR-DRG severity of illness and case mix index demonstrated a lack of correlation with CCC. We have developed a catheterization procedure type financial grouper that accounts for the diverse case population encountered in catheterization for congenital heart disease. CCC and our multivariable model could be used to understand financial characteristics of a population at a single point in time, longitudinally, and to compare populations.
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spelling pubmed-43037162015-01-27 Development of a Charge Adjustment Model for Cardiac Catheterization Brennan, Andrew Gauvreau, Kimberlee Connor, Jean O’Connell, Cheryl David, Sthuthi Almodovar, Melvin DiNardo, James Banka, Puja Mayer, John E. Marshall, Audrey C. Bergersen, Lisa Pediatr Cardiol Original Article A methodology that would allow for comparison of charges across institutions has not been developed for catheterization in congenital heart disease. A single institution catheterization database with prospectively collected case characteristics was linked to hospital charges related and limited to an episode of care in the catheterization laboratory for fiscal years 2008–2010. Catheterization charge categories (CCC) were developed to group types of catheterization procedures using a combination of empiric data and expert consensus. A multivariable model with outcome charges was created using CCC and additional patient and procedural characteristics. In 3 fiscal years, 3,839 cases were available for analysis. Forty catheterization procedure types were categorized into 7 CCC yielding a grouper variable with an R (2) explanatory value of 72.6 %. In the final CCC, the largest proportion of cases was in CCC 2 (34 %), which included diagnostic cases without intervention. Biopsy cases were isolated in CCC 1 (12 %), and percutaneous pulmonary valve placement alone made up CCC 7 (2 %). The final model included CCC, number of interventions, and cardiac diagnosis (R (2) = 74.2 %). Additionally, current financial metrics such as APR-DRG severity of illness and case mix index demonstrated a lack of correlation with CCC. We have developed a catheterization procedure type financial grouper that accounts for the diverse case population encountered in catheterization for congenital heart disease. CCC and our multivariable model could be used to understand financial characteristics of a population at a single point in time, longitudinally, and to compare populations. Springer US 2014-08-12 2015 /pmc/articles/PMC4303716/ /pubmed/25113520 http://dx.doi.org/10.1007/s00246-014-0994-3 Text en © The Author(s) 2014 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Article
Brennan, Andrew
Gauvreau, Kimberlee
Connor, Jean
O’Connell, Cheryl
David, Sthuthi
Almodovar, Melvin
DiNardo, James
Banka, Puja
Mayer, John E.
Marshall, Audrey C.
Bergersen, Lisa
Development of a Charge Adjustment Model for Cardiac Catheterization
title Development of a Charge Adjustment Model for Cardiac Catheterization
title_full Development of a Charge Adjustment Model for Cardiac Catheterization
title_fullStr Development of a Charge Adjustment Model for Cardiac Catheterization
title_full_unstemmed Development of a Charge Adjustment Model for Cardiac Catheterization
title_short Development of a Charge Adjustment Model for Cardiac Catheterization
title_sort development of a charge adjustment model for cardiac catheterization
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4303716/
https://www.ncbi.nlm.nih.gov/pubmed/25113520
http://dx.doi.org/10.1007/s00246-014-0994-3
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