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      Usability of the ROBOVID mobile app for health education about COVID-19 Translated title: Usabilidade do aplicativo móvel ROBOVID para educação em saúde acerca da COVID-19 Translated title: Usabilidad de la aplicación móvil ROBOVID para educación en salud acerca de la covid-19

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          Abstract

          Objective: to evaluate the usability of the ROBOVID mobile application for health education about COVID-19. Method: methodological study with an applied quantitative approach, developed with 21 adults, using an electronic form. Usability was assessed using the System Usability Scale. The Statistical Package for the Social Sciences software was used to analyze the data. Results: the overall average score on the System Usability Scale questionnaire was 87.3, which classifies the usability of the ROBOVID application as the best achievable. Furthermore, the application has high scores for ease of memorization, user satisfaction and ease of getting to know the system, as well as excellent scores for absence of errors and speed in carrying out the tasks set. Conclusion: the ROBOVID application complies with the principles of usability in terms of efficiency, effectiveness and satisfaction in the evaluation of end users, showing that the application meets consumer needs in terms of its functionalities, demonstrating its viability in terms of the initial objectives.

          Translated abstract

          Objetivo: avaliar a usabilidade do aplicativo móvel ROBOVID para educação em saúde acerca da COVID-19. Método: estudo metodológico com abordagem quantitativa aplicado, desenvolvido com 21 adultos, por meio de formulário eletrônico. A avaliação da usabilidade ocorreu por meio da System Usability Scale . Para análise dos dados utilizou-se o software Statistical Package for the Social Sciences . Resultados: a média global pelo questionário System Usability Scale foi de 87,3, o que classifica a usabilidade do aplicativo ROBOVID como melhor alcançável. Ademais, o aplicativo apresenta índices elevados para facilidade de memorização, satisfação do usuário e facilidade de conhecimento do sistema, além de excelentes índices para ausência de erros e rapidez na execução das tarefas estabelecidas. Conclusão: o aplicativo ROBOVID possui conformidade com os princípios de usabilidade nos critérios de eficiência, eficácia e satisfação na avaliação dos usuários-finais, explicitando que o aplicativo atende às necessidades de consumo frente a suas funcionalidades, demostrando sua viabilidade no que tange aos objetivos iniciais.

          Translated abstract

          Objetivo: evaluar la usabilidad de la aplicación móvil ROBOVID para educación en salud acerca de la COVID-19. Método: estudio metodológico con enfoque cuantitativo aplicado, desarrollado con 21 adultos, mediante formulario electrónico. La evaluación de la usabilidad se llevó a cabo mediante la System Usability Scale. Para el análisis de los datos se utilizó el software Statistical Package for the Social Sciences . Resultados: la media global por el cuestionario System Usability Scale fue de 87,3, lo que clasifica la usabilidad de la aplicación ROBOVID como mejor alcanzable. Además, la aplicación presenta índices elevados para facilidad de memorización, satisfacción del usuario y facilidad de conocimiento del sistema, además de excelentes índices para ausencia de errores y rapidez en la ejecución de las tareas establecidas. Conclusión: la aplicación ROBOVID posee conformidad con los principios de usabilidad en los criterios de eficiencia, eficacia y satisfacción en la evaluación de los usuarios finales, explicando que la aplicación satisface las necesidades de consumo frente a sus funcionalidades, demostrando su viabilidad en cuanto a los objetivos iniciales.

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              Wearable Sensors for COVID-19: A Call to Action to Harness Our Digital Infrastructure for Remote Patient Monitoring and Virtual Assessments

              The COVID-19 pandemic has brought into sharp focus the need to harness and leverage our digital infrastructure for remote patient monitoring. As current viral tests and vaccines are slow to emerge, we see a need for more robust disease detection and monitoring of individual and population health, which could be aided by wearable sensors. While the utility of this technology has been used to correlate physiological metrics to daily living and human performance, the translation of such technology toward predicting the incidence of COVID-19 remains a necessity. When used in conjunction with predictive platforms, users of wearable devices could be alerted when changes in their metrics match those associated with COVID-19. Anonymous data localized to regions such as neighborhoods or zip codes could provide public health officials and researchers a valuable tool to track and mitigate the spread of the virus, particularly during a second wave. Identifiable data, for example remote monitoring of cohorts (family, businesses, and facilities) associated with individuals diagnosed with COVID-19, can provide valuable data such as acceleration of transmission and symptom onset. This manuscript describes clinically relevant physiological metrics which can be measured from commercial devices today and highlights their role in tracking the health, stability, and recovery of COVID-19+ individuals and front-line workers. Our goal disseminating from this paper is to initiate a call to action among front-line workers and engineers toward developing digital health platforms for monitoring and managing this pandemic.
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                Author and article information

                Journal
                rlae
                Revista Latino-Americana de Enfermagem
                Rev. Latino-Am. Enfermagem
                Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo (Ribeirão Preto, SP, Brazil )
                0104-1169
                1518-8345
                2024
                : 32
                : e4191
                Affiliations
                [1] Rio das Ostras Rio de Janeiro orgnameUniversidade Federal Fluminense orgdiv1Campus Universitário de Rio das Ostras Brazil
                [2] orgnameFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro Brazil
                Article
                S0104-11692024000100326 S0104-1169(24)03200000326
                10.1590/1518-8345.6924.4191
                d58aaf52-1a7b-4677-8034-da99489eabd2

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

                History
                : 06 January 2024
                : 29 June 2023
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 24, Pages: 0
                Product

                SciELO Brazil


                Covid-19,Enfermería,Tecnología de la Información,Aplicaciones Móviles,Educación para la Salud,Diseño Centrado en el Usuario,Nursing,Information Technology,Mobile Apps,Health Education,User-Centered Design,Enfermagem,Tecnologia da Informação,Aplicativos Móveis,Educação em Saúde,Design Centrado no Usuário

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