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      Validation of Algorithms for Donning and Doffing Personal Protective Equipment during the COVID-19 Pandemic

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          Abstract

          Abstract Introduction The prolonged or incorrect use of facial masks, respirators and glasses or visors results in friction, pressure and shear forces that constantly act on the facial skin, leading to lesions and dermatitis. Objective To develop and validate algorithms to guide health professionals in the correct use of personal protective equipment (PPE) and indicate preventive measures against skin injuries caused by inappropriate use during the COVID-19 pandemic. Methods For the develoment of the algorithms, an integrative literature review was performed using the following databases: PubMed, SciELO, and LILACS. The algorithms were evaluated by 59 health professionals (nurses, doctors, and physiotherapists), using the Delphi technique. A content validity index (CVI) was used for the statistical analysis. Results The experts classified the items of the algorithms from fully inadequate to fully adequate in the first round of consultations, and from partially adequate to fully adequate in the second round. The overall CVI values were of 0.83 and 1.0 in the first and second rounds respectively. Conclusion The algorithms validated by the expert panel can be used by health professionals when donning and doffing PPE, and to prevent the facial-skin lesions caused by their use.

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          Most cited references28

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          Evidence of the COVID-19 Virus Targeting the CNS: Tissue Distribution, Host–Virus Interaction, and Proposed Neurotropic Mechanisms

          The recent outbreak of coronavirus infectious disease 2019 (COVID-19) has gripped the world with apprehension and has evoked a scare of epic proportion regarding its potential to spread and infect humans worldwide. As we are in the midst of an ongoing pandemic of COVID-19, scientists are struggling to understand how it resembles and differs from the severe acute respiratory syndrome coronavirus (SARS-CoV) at the genomic and transcriptomic level. In a short time following the outbreak, it has been shown that, similar to SARS-CoV, COVID-19 virus exploits the angiotensin-converting enzyme 2 (ACE2) receptor to gain entry inside the cells. This finding raises the curiosity of investigating the expression of ACE2 in neurological tissue and determining the possible contribution of neurological tissue damage to the morbidity and mortality caused by COIVD-19. Here, we investigate the density of the expression levels of ACE2 in the CNS, the host–virus interaction and relate it to the pathogenesis and complications seen in the recent cases resulting from the COVID-19 outbreak. Also, we debate the need for a model for staging COVID-19 based on neurological tissue involvement.
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            The PICO strategy for the research question construction and evidence search

            Evidence based practice is the use of the best scientific evidence to support the clinical decision making. The identification of the best evidence requires the construction of an appropriate research question and review of the literature. This article describes the use of the PICO strategy for the construction of the research question and bibliographical search.
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              Selection and use of content experts for instrument development.

              Content experts frequently are used in the judgment-quantification stage of content validation of instruments. However, errors in instrumentation may arise when important steps in selecting and using these experts are not carefully planned. The systematic process of choosing, orienting, and using content experts in the judgment-qualification stage of instrument development is addressed, with particular attention to the often neglected, important step of familiarizing these experts with the conceptual underpinnings and measurement model of the instrument. An example using experts to validate content for a measure of caregiver burden is used to illustrate this stage of instrument review.
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                Author and article information

                Journal
                jcol
                Journal of Coloproctology (Rio de Janeiro)
                J. Coloproctol. (Rio J.)
                Sociedade Brasileira de Coloproctologia (Rio de Janeiro, RJ, Brazil )
                2237-9363
                2317-6423
                December 2021
                : 41
                : 4
                : 367-374
                Affiliations
                [1] Pouso Alegre Minas Gerais orgnameUniversidade do Vale do Sapucaí orgdiv1Professional Master’s Program in Applied Health Sciences Brazil
                Article
                S2237-93632021000400367 S2237-9363(21)04100400367
                10.1055/s-0041-1739167
                d58c1e39-4d66-4b6e-9f08-5a742c94434f

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

                History
                : 15 June 2021
                : 30 November 2020
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 28, Pages: 8
                Product

                SciELO Brazil

                Categories
                Original Article

                coronavirus infection,protective devices,pressure injury,use of equipment and supplies,algorithms

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