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“ROBOVID” mobile application about COVID-19 and target population: semantic validation study

Authors

DOI:

https://doi.org/10.5902/2179769273460

Keywords:

Validation study, Covid-19, Nursing, Mobile applications, Health education

Abstract

Objective: to semantically validate the “ROBOVID” mobile application with the target population. Method: methodological study, presenting the seventh stage of the matrix project, developed between October 2021 and January 2022, with 21 adults residing in the state of Rio de Janeiro, using a semi-structured electronic form. The Concordance Index was used in the data analysis, being considered a validated item that presented a value equal to or greater than 80%. Results: the ROBOVID mobile application was validated, reaching satisfactory individual agreement rates ranging from 95% to 100% and global 98.8%. Conclusion: the mobile application “ROBOVID” was semantically validated in terms of content and appearance by the target population, indicating that this educational technology is understandable, relevant and pertinent, and can be used by the population as a tool for the prevention and control of serious sequelae resulting from covid-19.

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Author Biographies

Gabrielle Dos Santos Correia, Universidade Federal Fluminense

Acadêmica de Enfermagem da Universidade Federal Fluminense, Campus Universitário de Rio das Ostras, Rio das Ostras, RJ, Brasil

Aline Cerqueira Santos Santana da Silva, Universidade Federal Fluminense

Enfermeira. Doutora em Enfermagem pela Universidade Federal do Rio de Janeiro, Professora Adjunta do Departamento de Enfermagem da Universidade Federal Fluminense, Campus Universitário de Rio das Ostras, Rio das Ostras, RJ, Brasil.

Layanne Fonseca Pinto, Universidade Federal Fluminense

Enfermeira graduada pela Universidade Federal Fluminense, Campus Universitário de Rio das Ostras, Rio das Ostras, RJ, Brasil

Michelly Cristynne Souza Bonifácio, Universidade Federal Fluminense

Enfermeira graduada pela Universidade Federal Fluminense, Campus Universitário de Rio das Ostras, Rio das Ostras, RJ, Brasil

Yasminn Canella Cabral Banjar Coelho, Universidade Federal Fluminense

Enfermeira graduada pela Universidade Federal Fluminense, Campus Universitário de Rio das Ostras, Rio das Ostras, RJ, Brasil

Fernanda Garcia Bezerra Góes, Universidade Federal Fluminense

Enfermeira. Doutora em Enfermagem pela Universidade Federal do Rio de Janeiro, Professora Adjunta do Departamento de Enfermagem da Universidade Federal Fluminense, Campus Universitário de Rio das Ostras, Rio das Ostras, RJ, Brasil

Marluci Andrade Conceição Stipp, Universidade Federal do Rio de Janeiro

Enfermeira. PhD em Enfermagem. Professora Associada do Departamento de Metodologia da Enfermagem e do Programa de Pós- Graduação em Enfermagem da Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brasil

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Published

2023-06-15

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How to Cite

Correia, G. D. S., Silva, A. C. S. S. da, Pinto, L. F., Bonifácio, M. C. S., Coelho, Y. C. C. B., Góes, F. G. B., & Stipp, M. A. C. (2023). “ROBOVID” mobile application about COVID-19 and target population: semantic validation study. Revista De Enfermagem Da UFSM, 13, e20. https://doi.org/10.5902/2179769273460

Issue

Vol. 13 (2023): Artigos do volume 13

Section

Artigos Originais

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

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