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Analysis of healthcare waste management in hospitals of Belo Horizonte, Brazil

Healthcare waste (HCW) management is a challenge for establishments that generate this type of waste, especially hospitals, as they are one of the largest generators. A determining factor in waste management is the amount of waste generation, which must be used for management planning. This study ai...

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Autores principales: Neves, Arthur Couto, Maia, Camila Costa, de Castro e Silva, Maria Esther, Vimieiro, Gisele Vidal, Gomes Mol, Marcos Paulo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308478/
https://www.ncbi.nlm.nih.gov/pubmed/35871194
http://dx.doi.org/10.1007/s11356-022-22113-w
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author Neves, Arthur Couto
Maia, Camila Costa
de Castro e Silva, Maria Esther
Vimieiro, Gisele Vidal
Gomes Mol, Marcos Paulo
author_facet Neves, Arthur Couto
Maia, Camila Costa
de Castro e Silva, Maria Esther
Vimieiro, Gisele Vidal
Gomes Mol, Marcos Paulo
author_sort Neves, Arthur Couto
collection PubMed
description Healthcare waste (HCW) management is a challenge for establishments that generate this type of waste, especially hospitals, as they are one of the largest generators. A determining factor in waste management is the amount of waste generation, which must be used for management planning. This study aims to compile and evaluate information on the management of HCW generated in Belo Horizonte’s (located in Brazil) hospitals declared in their respective Healthcare Waste Management Plans (HCWMP) sent for approval by the municipality’s Superintendency of Urban Cleaning. Therefore, a comparative analysis of the hospitals’ generations in relation to their characteristics (nature, specialty, and size) was carried out, using the Kruskal–Wallis statistical test with post hoc in Nemenyi. For the study hospitals, a generation rate of 7.18 (6.17–8.23) kg·bed(−1)·day(−1) was estimated, a generation rate close to that of developed countries. When comparing the generation according to the specialty of the hospitals, it was identified that the maternity hospitals (9.00 (7.05–10.90)) kg·bed(−1)·day(−1) had a significantly higher generation rate than the low-complexity hospitals (4.75 (3.28–6.18)) kg·bed(−1)·day(−1). It was also possible to demonstrate that the specialty and size of hospitals influence the structure available for waste storage. Finally, it can be observed that there are few treatment alternatives, with incineration and autoclaving being the technologies most commonly used by hospitals. It is expected that the results presented can serve as a reference for waste managers, in a context where there is little shared information on the subject.
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spelling pubmed-93084782022-07-25 Analysis of healthcare waste management in hospitals of Belo Horizonte, Brazil Neves, Arthur Couto Maia, Camila Costa de Castro e Silva, Maria Esther Vimieiro, Gisele Vidal Gomes Mol, Marcos Paulo Environ Sci Pollut Res Int Research Article Healthcare waste (HCW) management is a challenge for establishments that generate this type of waste, especially hospitals, as they are one of the largest generators. A determining factor in waste management is the amount of waste generation, which must be used for management planning. This study aims to compile and evaluate information on the management of HCW generated in Belo Horizonte’s (located in Brazil) hospitals declared in their respective Healthcare Waste Management Plans (HCWMP) sent for approval by the municipality’s Superintendency of Urban Cleaning. Therefore, a comparative analysis of the hospitals’ generations in relation to their characteristics (nature, specialty, and size) was carried out, using the Kruskal–Wallis statistical test with post hoc in Nemenyi. For the study hospitals, a generation rate of 7.18 (6.17–8.23) kg·bed(−1)·day(−1) was estimated, a generation rate close to that of developed countries. When comparing the generation according to the specialty of the hospitals, it was identified that the maternity hospitals (9.00 (7.05–10.90)) kg·bed(−1)·day(−1) had a significantly higher generation rate than the low-complexity hospitals (4.75 (3.28–6.18)) kg·bed(−1)·day(−1). It was also possible to demonstrate that the specialty and size of hospitals influence the structure available for waste storage. Finally, it can be observed that there are few treatment alternatives, with incineration and autoclaving being the technologies most commonly used by hospitals. It is expected that the results presented can serve as a reference for waste managers, in a context where there is little shared information on the subject. Springer Berlin Heidelberg 2022-07-23 2022 /pmc/articles/PMC9308478/ /pubmed/35871194 http://dx.doi.org/10.1007/s11356-022-22113-w Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Neves, Arthur Couto
Maia, Camila Costa
de Castro e Silva, Maria Esther
Vimieiro, Gisele Vidal
Gomes Mol, Marcos Paulo
Analysis of healthcare waste management in hospitals of Belo Horizonte, Brazil
title Analysis of healthcare waste management in hospitals of Belo Horizonte, Brazil
title_full Analysis of healthcare waste management in hospitals of Belo Horizonte, Brazil
title_fullStr Analysis of healthcare waste management in hospitals of Belo Horizonte, Brazil
title_full_unstemmed Analysis of healthcare waste management in hospitals of Belo Horizonte, Brazil
title_short Analysis of healthcare waste management in hospitals of Belo Horizonte, Brazil
title_sort analysis of healthcare waste management in hospitals of belo horizonte, brazil
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308478/
https://www.ncbi.nlm.nih.gov/pubmed/35871194
http://dx.doi.org/10.1007/s11356-022-22113-w
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