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Financial Impact of Deep Sternal Wound Infections After Coronary Surgery: A Microcosting Analysis

INTRODUCTION: Deep sternal wound infections (DSWI) are so serious and costly that hospital services continue to strive to control and prevent these outcomes. Microcosting is the more accurate approach in economic healthcare evaluation, but there are no studies in this field applying this method to c...

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Autores principales: Orlandi, Bianca Maria Maglia, Mejia, Omar Asdrúbal Vilca, Trindade, Evelinda Marramon, Jatene, Fabio B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Cirurgia Cardiovascular 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399584/
https://www.ncbi.nlm.nih.gov/pubmed/37540182
http://dx.doi.org/10.21470/1678-9741-2022-0261
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author Orlandi, Bianca Maria Maglia
Mejia, Omar Asdrúbal Vilca
Trindade, Evelinda Marramon
Jatene, Fabio B
author_facet Orlandi, Bianca Maria Maglia
Mejia, Omar Asdrúbal Vilca
Trindade, Evelinda Marramon
Jatene, Fabio B
author_sort Orlandi, Bianca Maria Maglia
collection PubMed
description INTRODUCTION: Deep sternal wound infections (DSWI) are so serious and costly that hospital services continue to strive to control and prevent these outcomes. Microcosting is the more accurate approach in economic healthcare evaluation, but there are no studies in this field applying this method to compare DSWI after isolated coronary artery bypass grafting (CABG). This study aims to evaluate the incremental risk-adjusted costs of DSWI on isolated CABG. METHODS: This is a retrospective, single-center observational cohort study with a propensity score matching for infected and non-infected patients to compare incremental risk-adjusted costs between groups. Data to homogeneity sample was obtained from a multicentric database, REPLICCAR II, and additional sources of information about costs were achieved with the electronic hospital system (Si3). Inflation variation and dollar quotation in the study period were corrected using the General Market Price Index. Groups were compared using analysis of variance, and multiple linear regression was performed to evaluate the cost drivers related to the event. RESULTS: As expected, infections were costly; deep infection increased the costs by 152% and mediastinitis by 188%. Groups differed among hospital stay, exams, medications, and multidisciplinary labor, and hospital stay costs were the most critical cost driver. CONCLUSION: In summary, our results demonstrate the incremental costs of a detailed microcosting evaluation of infections on CABG patients in São Paulo, Brazil. Hospital stay was an important cost driver identified, demonstrating the importance of evaluating patients’ characteristics and managing risks for a faster, safer, and more effective discharge.
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spelling pubmed-103995842023-08-04 Financial Impact of Deep Sternal Wound Infections After Coronary Surgery: A Microcosting Analysis Orlandi, Bianca Maria Maglia Mejia, Omar Asdrúbal Vilca Trindade, Evelinda Marramon Jatene, Fabio B Braz J Cardiovasc Surg Original Article INTRODUCTION: Deep sternal wound infections (DSWI) are so serious and costly that hospital services continue to strive to control and prevent these outcomes. Microcosting is the more accurate approach in economic healthcare evaluation, but there are no studies in this field applying this method to compare DSWI after isolated coronary artery bypass grafting (CABG). This study aims to evaluate the incremental risk-adjusted costs of DSWI on isolated CABG. METHODS: This is a retrospective, single-center observational cohort study with a propensity score matching for infected and non-infected patients to compare incremental risk-adjusted costs between groups. Data to homogeneity sample was obtained from a multicentric database, REPLICCAR II, and additional sources of information about costs were achieved with the electronic hospital system (Si3). Inflation variation and dollar quotation in the study period were corrected using the General Market Price Index. Groups were compared using analysis of variance, and multiple linear regression was performed to evaluate the cost drivers related to the event. RESULTS: As expected, infections were costly; deep infection increased the costs by 152% and mediastinitis by 188%. Groups differed among hospital stay, exams, medications, and multidisciplinary labor, and hospital stay costs were the most critical cost driver. CONCLUSION: In summary, our results demonstrate the incremental costs of a detailed microcosting evaluation of infections on CABG patients in São Paulo, Brazil. Hospital stay was an important cost driver identified, demonstrating the importance of evaluating patients’ characteristics and managing risks for a faster, safer, and more effective discharge. Sociedade Brasileira de Cirurgia Cardiovascular 2023-07-18 /pmc/articles/PMC10399584/ /pubmed/37540182 http://dx.doi.org/10.21470/1678-9741-2022-0261 Text en https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Orlandi, Bianca Maria Maglia
Mejia, Omar Asdrúbal Vilca
Trindade, Evelinda Marramon
Jatene, Fabio B
Financial Impact of Deep Sternal Wound Infections After Coronary Surgery: A Microcosting Analysis
title Financial Impact of Deep Sternal Wound Infections After Coronary Surgery: A Microcosting Analysis
title_full Financial Impact of Deep Sternal Wound Infections After Coronary Surgery: A Microcosting Analysis
title_fullStr Financial Impact of Deep Sternal Wound Infections After Coronary Surgery: A Microcosting Analysis
title_full_unstemmed Financial Impact of Deep Sternal Wound Infections After Coronary Surgery: A Microcosting Analysis
title_short Financial Impact of Deep Sternal Wound Infections After Coronary Surgery: A Microcosting Analysis
title_sort financial impact of deep sternal wound infections after coronary surgery: a microcosting analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399584/
https://www.ncbi.nlm.nih.gov/pubmed/37540182
http://dx.doi.org/10.21470/1678-9741-2022-0261
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