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.
Healthcare wastes are generated in facilities whose activities are related to human or animal healthcare. Wastes with high infectious potential risk to human health and the environment must be managed carefully, from generation to its final disposal. However, there is an absence of consolidated data addressing the healthcare waste qualitative classification generated by hospitals of a large city. Therefore, the present study aims to characterise qualitatively the high infectious waste generated by hospitals from Belo Horizonte city, Brazil, whose Health Services Waste Management Plan were approved and certificated by the municipal cleansing autarchy. Differences in the types of infectious wastes generated in maternity hospitals were identified ( p 0.034), when compared with general ( p 0.189), low ( p 0.549) and high complexity ( p 0.619), which can be explained owing to the extended hospital activities. This information suggests a similar profile of the qualitative generation of infectious wastes by hospital categories, as expected. The largest generation and diversity of high-infected wastes are associated with a greater variety of activities provided. The segregation can be considered as the main step in healthcare waste management, therefore, it is concluded that the correct classification leads to a better understanding of all those involved in the healthcare waste management.
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