journal article·2022-08-02Open access

Perception of Professionals from Different Healthcare Units Regarding the Use of Spray Technology for the Instantaneous Decontamination of Personal Protective Equipment during the Coronavirus Disease Pandemic: A Short Analysis

Luís Alberto Brêda Mascarenhas, Bruna Aparecida Souza Machado, Leticia de Alencar Pereira Rodrigues, Katharine Valéria Saraiva Hodel, Alex Álisson Bandeira Santos, Leone Peter Correia da Silva Andrade, Roberto Badaró

Applied Sciences· Volume 12· Issue 15

Abstract

Within the context of the coronavirus disease (COVID-19) pandemic, different disinfection technologies have been developed to efficiently exercise microbial control, especially to minimize the potential risks that are associated with transmission and infection among healthcare professionals. Thus, the aim of this work was to evaluate the perception of professionals regarding the use of a new technology (chamber) for the instantaneous decontamination of personal protective equipment before the doffing stage. This was a cross-sectional descriptive study where the study data were obtained by using a questionnaire with qualitative questions. In total, 245 professionals participated in the study in three hospitals. Healthcare professionals represented 72.24% (n = 177) of the investigated sample. Approximately 69% of the professionals considered the disinfection chamber as a safe technology, and 75.10% considered it as an important and effective protective barrier for healthcare professionals in view of its application before the doffing process. The results found in this study demonstrate that the use of spray technology in the stage prior to the doffing process is acceptable to professionals, and that it can be an important tool for ensuring the additional protection of the professionals who work directly with patients who are diagnosed with COVID-19.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Infection Control and Ventilation · COVID-19 and Mental Health · Infection Control in Healthcare

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), SENAI CIMATEC University Center, Salvador 41650-010, BA, Brazil

Computational Modeling and Industrial Technology, SENAI CIMATEC University Center, Salvador 41650-010, BA, Brazil

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