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A DEA-Based Complexity of Needs Approach for Hospital Beds Evacuation during the COVID-19 Outbreak

Data envelopment analysis (DEA) is a powerful nonparametric engineering tool for estimating technical efficiency and production capacity of service units. Assuming an equally proportional change in the output/input ratio, we can estimate how many additional medical resource health service units woul...

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Autores principales: Nepomuceno, Thyago C. C., Silva, Wilka M. N., Nepomuceno, Késsia T. C., Barros, Isloana K. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528060/
https://www.ncbi.nlm.nih.gov/pubmed/33029339
http://dx.doi.org/10.1155/2020/8857553
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author Nepomuceno, Thyago C. C.
Silva, Wilka M. N.
Nepomuceno, Késsia T. C.
Barros, Isloana K. F.
author_facet Nepomuceno, Thyago C. C.
Silva, Wilka M. N.
Nepomuceno, Késsia T. C.
Barros, Isloana K. F.
author_sort Nepomuceno, Thyago C. C.
collection PubMed
description Data envelopment analysis (DEA) is a powerful nonparametric engineering tool for estimating technical efficiency and production capacity of service units. Assuming an equally proportional change in the output/input ratio, we can estimate how many additional medical resource health service units would be required if the number of hospitalizations was expected to increase during an epidemic outbreak. This assessment proposes a two-step methodology for hospital beds vacancy and reallocation during the COVID-19 pandemic. The framework determines the production capacity of hospitals through data envelopment analysis and incorporates the complexity of needs in two categories for the reallocation of beds throughout the medical specialties. As a result, we have a set of inefficient healthcare units presenting less complex bed slacks to be reduced, that is, to be allocated for patients presenting with more severe conditions. The first results in this work, in collaboration with state and municipal administrations in Brazil, report 3772 beds feasible to be evacuated by 64% of the analyzed health units, of which more than 82% are moderate complexity evacuations. The proposed assessment and methodology can provide a direction for governments and policymakers to develop strategies based on a robust quantitative production capacity measure.
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spelling pubmed-75280602020-10-06 A DEA-Based Complexity of Needs Approach for Hospital Beds Evacuation during the COVID-19 Outbreak Nepomuceno, Thyago C. C. Silva, Wilka M. N. Nepomuceno, Késsia T. C. Barros, Isloana K. F. J Healthc Eng Research Article Data envelopment analysis (DEA) is a powerful nonparametric engineering tool for estimating technical efficiency and production capacity of service units. Assuming an equally proportional change in the output/input ratio, we can estimate how many additional medical resource health service units would be required if the number of hospitalizations was expected to increase during an epidemic outbreak. This assessment proposes a two-step methodology for hospital beds vacancy and reallocation during the COVID-19 pandemic. The framework determines the production capacity of hospitals through data envelopment analysis and incorporates the complexity of needs in two categories for the reallocation of beds throughout the medical specialties. As a result, we have a set of inefficient healthcare units presenting less complex bed slacks to be reduced, that is, to be allocated for patients presenting with more severe conditions. The first results in this work, in collaboration with state and municipal administrations in Brazil, report 3772 beds feasible to be evacuated by 64% of the analyzed health units, of which more than 82% are moderate complexity evacuations. The proposed assessment and methodology can provide a direction for governments and policymakers to develop strategies based on a robust quantitative production capacity measure. Hindawi 2020-09-30 /pmc/articles/PMC7528060/ /pubmed/33029339 http://dx.doi.org/10.1155/2020/8857553 Text en Copyright © 2020 Thyago C. C. Nepomuceno et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Nepomuceno, Thyago C. C.
Silva, Wilka M. N.
Nepomuceno, Késsia T. C.
Barros, Isloana K. F.
A DEA-Based Complexity of Needs Approach for Hospital Beds Evacuation during the COVID-19 Outbreak
title A DEA-Based Complexity of Needs Approach for Hospital Beds Evacuation during the COVID-19 Outbreak
title_full A DEA-Based Complexity of Needs Approach for Hospital Beds Evacuation during the COVID-19 Outbreak
title_fullStr A DEA-Based Complexity of Needs Approach for Hospital Beds Evacuation during the COVID-19 Outbreak
title_full_unstemmed A DEA-Based Complexity of Needs Approach for Hospital Beds Evacuation during the COVID-19 Outbreak
title_short A DEA-Based Complexity of Needs Approach for Hospital Beds Evacuation during the COVID-19 Outbreak
title_sort dea-based complexity of needs approach for hospital beds evacuation during the covid-19 outbreak
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528060/
https://www.ncbi.nlm.nih.gov/pubmed/33029339
http://dx.doi.org/10.1155/2020/8857553
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