Using data envelopment analysis to perform benchmarking in intensive care units

Detalhes bibliográficos
Autor(a) principal: Antunes, Bianca B. P.
Data de Publicação: 2021
Outros Autores: Bastos, Leonardo S. L., Hamacher, Silvio, Bozza, Fernando A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/50472
Resumo: Pontifical Catholic University of Rio de Janeiro. Department of Industrial Engineering. Rio de Janeiro, RJ, Brazil.
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spelling Antunes, Bianca B. P.Bastos, Leonardo S. L.Hamacher, SilvioBozza, Fernando A.2021-12-17T12:45:13Z2021-12-17T12:45:13Z2021ANTUNES, Bianca B. P. et al. Using data envelopment analysis to perform benchmarking in intensive care units. PloS One, v. 16, n. 11, p. 1-13, 2021.1932-6203https://www.arca.fiocruz.br/handle/icict/5047210.1371/journal.pone.0260025engPublic Library of ScienceUsing data envelopment analysis to perform benchmarking in intensive care unitsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePontifical Catholic University of Rio de Janeiro. Department of Industrial Engineering. Rio de Janeiro, RJ, Brazil.Pontifical Catholic University of Rio de Janeiro. Department of Industrial Engineering. Rio de Janeiro, RJ, Brazil.Pontifical Catholic University of Rio de Janeiro. Department of Industrial Engineering. Rio de Janeiro, RJ, Brazil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Rio de Janeiro, RJ, Brasil / D'Or Institute for Research and Education. Rio de Janeiro, RJ, Brazil / Brazilian Research in Intensive Care Network (BRICNet). São Paulo, SP, Brazil.Background: Studies using Data Envelopment Analysis to benchmark Intensive Care Units (ICUs) are scarce. Previous studies have focused on comparing efficiency using only performance metrics, without accounting for resources. Hence, we aimed to perform a benchmarking analysis of ICUs using data envelopment analysis. Methods: We performed a retrospective analysis on observational data of patients admitted to ICUs in Brazil (ORCHESTRA Study). The outputs in our data envelopment analysis model were the performance metrics: Standardized Mortality Ratio (SMR) and Standardized Resource Use (SRU); whereas the inputs consisted of three groups of variables that represented staffing patterns, structure, and strain, thus resulting in three models. We compared efficient and non-efficient units for each model. In addition, we compared our results to the efficiency matrix method and presented targets to each non-efficient unit. Results: We performed benchmarking in 93 ICUs and 129,680 patients. The median age was 64 years old, and mortality was 12%. Median SMR was 1.00 [interquartile range (IQR): 0.79-1.21] and SRU was 1.15 [IQR: 0.95-1.56]. Efficient units presented lower median physicians per bed ratio (1.44 [IQR: 1.18-1.88] vs. 1.7 [IQR: 1.36-2.00]) and nursing workload (168 hours [IQR: 168-291] vs 396 hours [IQR: 336-672]) but higher nurses per bed ratio (2.02 [1.16-2.48] vs. 1.71 [1.43-2.36]) compared to non-efficient units. Units from for-profit hospitals and specialized ICUs presented the best efficiency scores. Our results were mostly in line with the efficiency matrix method: the efficiency units in our models were mostly in the "most efficient" quadrant. Conclusion: Data envelopment analysis provides managers the information needed to identify not only the outcomes to be achieved but what are the levels of resources needed to provide efficient care. Different perspectives can be achieved depending on the chosen variables. Its use jointly with the efficiency matrix can provide deeper understanding of ICU performance and efficiency.Intensive care unitsBenchmarkingPublic administrationData envelopment analysisBrazilinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-83099https://www.arca.fiocruz.br/bitstream/icict/50472/1/license.txt586c046dcfeef936e32f0323bb9a47c0MD51ORIGINALUsing_Fernando_Bozza_etal_INI_2021.pdfUsing_Fernando_Bozza_etal_INI_2021.pdfapplication/pdf777681https://www.arca.fiocruz.br/bitstream/icict/50472/2/Using_Fernando_Bozza_etal_INI_2021.pdf9118020566099381e2b3fb3c2beb5206MD52icict/504722021-12-21 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dc.title.pt_BR.fl_str_mv Using data envelopment analysis to perform benchmarking in intensive care units
title Using data envelopment analysis to perform benchmarking in intensive care units
spellingShingle Using data envelopment analysis to perform benchmarking in intensive care units
Antunes, Bianca B. P.
Intensive care units
Benchmarking
Public administration
Data envelopment analysis
Brazil
title_short Using data envelopment analysis to perform benchmarking in intensive care units
title_full Using data envelopment analysis to perform benchmarking in intensive care units
title_fullStr Using data envelopment analysis to perform benchmarking in intensive care units
title_full_unstemmed Using data envelopment analysis to perform benchmarking in intensive care units
title_sort Using data envelopment analysis to perform benchmarking in intensive care units
author Antunes, Bianca B. P.
author_facet Antunes, Bianca B. P.
Bastos, Leonardo S. L.
Hamacher, Silvio
Bozza, Fernando A.
author_role author
author2 Bastos, Leonardo S. L.
Hamacher, Silvio
Bozza, Fernando A.
author2_role author
author
author
dc.contributor.author.fl_str_mv Antunes, Bianca B. P.
Bastos, Leonardo S. L.
Hamacher, Silvio
Bozza, Fernando A.
dc.subject.en.pt_BR.fl_str_mv Intensive care units
Benchmarking
Public administration
Data envelopment analysis
Brazil
topic Intensive care units
Benchmarking
Public administration
Data envelopment analysis
Brazil
description Pontifical Catholic University of Rio de Janeiro. Department of Industrial Engineering. Rio de Janeiro, RJ, Brazil.
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-12-17T12:45:13Z
dc.date.available.fl_str_mv 2021-12-17T12:45:13Z
dc.date.issued.fl_str_mv 2021
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv ANTUNES, Bianca B. P. et al. Using data envelopment analysis to perform benchmarking in intensive care units. PloS One, v. 16, n. 11, p. 1-13, 2021.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/50472
dc.identifier.issn.pt_BR.fl_str_mv 1932-6203
dc.identifier.doi.none.fl_str_mv 10.1371/journal.pone.0260025
identifier_str_mv ANTUNES, Bianca B. P. et al. Using data envelopment analysis to perform benchmarking in intensive care units. PloS One, v. 16, n. 11, p. 1-13, 2021.
1932-6203
10.1371/journal.pone.0260025
url https://www.arca.fiocruz.br/handle/icict/50472
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
institution FIOCRUZ
reponame_str Repositório Institucional da FIOCRUZ (ARCA)
collection Repositório Institucional da FIOCRUZ (ARCA)
bitstream.url.fl_str_mv https://www.arca.fiocruz.br/bitstream/icict/50472/1/license.txt
https://www.arca.fiocruz.br/bitstream/icict/50472/2/Using_Fernando_Bozza_etal_INI_2021.pdf
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