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Estimating the Epidemiological and Economic Impact of Implementing Preoperative Anaemia Measures in the German Healthcare System: The Health Economic Footprint of Patient Blood Management

INTRODUCTION: This study aimed to quantify the potential epidemiological and health economic benefits of implementing preoperative anaemia measures (PAMs) in clinical practice in the German healthcare system. METHODS: An evidence-based health economic model was developed to assess the possible impac...

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Autores principales: Drabinski, Thomas, Zacharowski, Kai, Meybohm, Patrick, Rüger, Alexandra M., Ramirez de Arellano, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7370967/
https://www.ncbi.nlm.nih.gov/pubmed/32562124
http://dx.doi.org/10.1007/s12325-020-01372-4
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author Drabinski, Thomas
Zacharowski, Kai
Meybohm, Patrick
Rüger, Alexandra M.
Ramirez de Arellano, Antonio
author_facet Drabinski, Thomas
Zacharowski, Kai
Meybohm, Patrick
Rüger, Alexandra M.
Ramirez de Arellano, Antonio
author_sort Drabinski, Thomas
collection PubMed
description INTRODUCTION: This study aimed to quantify the potential epidemiological and health economic benefits of implementing preoperative anaemia measures (PAMs) in clinical practice in the German healthcare system. METHODS: An evidence-based health economic model was developed to assess the possible impact of implementing PAMs, the first pillar of patient blood management (PBM), in a German population. The analysis of two risk factors—iron-deficiency anaemia (IDA) and receipt of a red blood cell concentrate (RBC) transfusion during elective surgery—allowed the estimation of relative risks (RRs), average cost per patient, average length of hospital stay, and avoided hospital deaths after the implementation of PAMs. RESULTS: A total of 4,591,060 patients who had undergone elective surgery during 2015 were identified, of which 29,170 (0.64%) were diagnosed with preoperative IDA. These patients had an increased RR of receiving a RBC transfusion during surgery (RR 5.031; 95% confidence interval [CI] 4.928, 5.136) and increased mortality risk (RR 3.630; 95% CI 3.401, 3.874) versus patients without IDA. Patients who received a RBC transfusion during surgery had a 24.6-times higher risk of death than those who did not (RR 24.593; 95% CI 24.121, 25.075). Average cost of treatment was €7883 in patients with IDA, €21,744 in patients with IDA and RBC transfusion, and €4560 in patients without risk factors. The model identified 29,714 patients (0.65%) who had received a RBC transfusion and who potentially had IDA but remained undiagnosed before surgery. Hypothetical implementation of PAMs would have resulted in an estimated annual net hospital direct cost saving of €1029 million (1.58%) of total hospital direct costs of the German healthcare system and 3036 hospital deaths (0.07%) avoided. CONCLUSIONS: This model estimated the impact of implementing PAMs for patients with IDA undergoing elective surgery. A significant number of deaths, costly treatments, and hospital days could have been avoided by the introduction of PAMs in routine clinical practice in Germany.
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spelling pubmed-73709672020-07-22 Estimating the Epidemiological and Economic Impact of Implementing Preoperative Anaemia Measures in the German Healthcare System: The Health Economic Footprint of Patient Blood Management Drabinski, Thomas Zacharowski, Kai Meybohm, Patrick Rüger, Alexandra M. Ramirez de Arellano, Antonio Adv Ther Original Research INTRODUCTION: This study aimed to quantify the potential epidemiological and health economic benefits of implementing preoperative anaemia measures (PAMs) in clinical practice in the German healthcare system. METHODS: An evidence-based health economic model was developed to assess the possible impact of implementing PAMs, the first pillar of patient blood management (PBM), in a German population. The analysis of two risk factors—iron-deficiency anaemia (IDA) and receipt of a red blood cell concentrate (RBC) transfusion during elective surgery—allowed the estimation of relative risks (RRs), average cost per patient, average length of hospital stay, and avoided hospital deaths after the implementation of PAMs. RESULTS: A total of 4,591,060 patients who had undergone elective surgery during 2015 were identified, of which 29,170 (0.64%) were diagnosed with preoperative IDA. These patients had an increased RR of receiving a RBC transfusion during surgery (RR 5.031; 95% confidence interval [CI] 4.928, 5.136) and increased mortality risk (RR 3.630; 95% CI 3.401, 3.874) versus patients without IDA. Patients who received a RBC transfusion during surgery had a 24.6-times higher risk of death than those who did not (RR 24.593; 95% CI 24.121, 25.075). Average cost of treatment was €7883 in patients with IDA, €21,744 in patients with IDA and RBC transfusion, and €4560 in patients without risk factors. The model identified 29,714 patients (0.65%) who had received a RBC transfusion and who potentially had IDA but remained undiagnosed before surgery. Hypothetical implementation of PAMs would have resulted in an estimated annual net hospital direct cost saving of €1029 million (1.58%) of total hospital direct costs of the German healthcare system and 3036 hospital deaths (0.07%) avoided. CONCLUSIONS: This model estimated the impact of implementing PAMs for patients with IDA undergoing elective surgery. A significant number of deaths, costly treatments, and hospital days could have been avoided by the introduction of PAMs in routine clinical practice in Germany. Springer Healthcare 2020-06-19 2020 /pmc/articles/PMC7370967/ /pubmed/32562124 http://dx.doi.org/10.1007/s12325-020-01372-4 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original Research
Drabinski, Thomas
Zacharowski, Kai
Meybohm, Patrick
Rüger, Alexandra M.
Ramirez de Arellano, Antonio
Estimating the Epidemiological and Economic Impact of Implementing Preoperative Anaemia Measures in the German Healthcare System: The Health Economic Footprint of Patient Blood Management
title Estimating the Epidemiological and Economic Impact of Implementing Preoperative Anaemia Measures in the German Healthcare System: The Health Economic Footprint of Patient Blood Management
title_full Estimating the Epidemiological and Economic Impact of Implementing Preoperative Anaemia Measures in the German Healthcare System: The Health Economic Footprint of Patient Blood Management
title_fullStr Estimating the Epidemiological and Economic Impact of Implementing Preoperative Anaemia Measures in the German Healthcare System: The Health Economic Footprint of Patient Blood Management
title_full_unstemmed Estimating the Epidemiological and Economic Impact of Implementing Preoperative Anaemia Measures in the German Healthcare System: The Health Economic Footprint of Patient Blood Management
title_short Estimating the Epidemiological and Economic Impact of Implementing Preoperative Anaemia Measures in the German Healthcare System: The Health Economic Footprint of Patient Blood Management
title_sort estimating the epidemiological and economic impact of implementing preoperative anaemia measures in the german healthcare system: the health economic footprint of patient blood management
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7370967/
https://www.ncbi.nlm.nih.gov/pubmed/32562124
http://dx.doi.org/10.1007/s12325-020-01372-4
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