Portuguese Validation of the Unified Theory of Acceptance and Use of Technology Scale (UTAUT) to a COVID-19 mobile application: a pilot study

Detalhes bibliográficos
Autor(a) principal: Araújo, Ivandra
Data de Publicação: 2023
Outros Autores: Grilo, Ana, Silva, Carina
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.21/16354
Resumo: The use of technology has proven to be a powerful tool in the fight against COVID-19 and its variants of concern (Gamma, Beta, Alpha, Delta, and Omicron). The urgency of responding to this worldwide pandemic has accelerated the development of monitoring systems and contact tracing applications. Without technology's contribution, the adverse effects on humanity economically, socially, and psychologically would be even more devastating. This study aimed to translate, adapt, and validate the Unified Theory of Acceptance and Use of Technology (UTAUT) model in a Portuguese university population, to evaluate adherence to a mobile application for tracking COVID-19. An observational cross-sectional study was developed using a sample with 1081 participants (71% female, 59.2% with ages between 16 and 24, and 78.2% of the respondents university students). The Portuguese version model showed good reliability (Cronbach's α = 0.82) and an acceptable overall adjustment to the sample under study (χ2/df = 3.732, CFI = 0.955, TLI = 0.944, RMSEA = 0.05, SRMR = 0.06); however, this model could be improved, as we proved. Since this is a pilot study, more studies are needed. The results indicated that the P-UTAUT can be improved for evaluating adherence to a COVID-19 mobile application.
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spelling Portuguese Validation of the Unified Theory of Acceptance and Use of Technology Scale (UTAUT) to a COVID-19 mobile application: a pilot studyCOVID-19UTAUT scaleDigital healthMobile applicationScale validationPortugalThe use of technology has proven to be a powerful tool in the fight against COVID-19 and its variants of concern (Gamma, Beta, Alpha, Delta, and Omicron). The urgency of responding to this worldwide pandemic has accelerated the development of monitoring systems and contact tracing applications. Without technology's contribution, the adverse effects on humanity economically, socially, and psychologically would be even more devastating. This study aimed to translate, adapt, and validate the Unified Theory of Acceptance and Use of Technology (UTAUT) model in a Portuguese university population, to evaluate adherence to a mobile application for tracking COVID-19. An observational cross-sectional study was developed using a sample with 1081 participants (71% female, 59.2% with ages between 16 and 24, and 78.2% of the respondents university students). The Portuguese version model showed good reliability (Cronbach's α = 0.82) and an acceptable overall adjustment to the sample under study (χ2/df = 3.732, CFI = 0.955, TLI = 0.944, RMSEA = 0.05, SRMR = 0.06); however, this model could be improved, as we proved. Since this is a pilot study, more studies are needed. The results indicated that the P-UTAUT can be improved for evaluating adherence to a COVID-19 mobile application.MDPIRCIPLAraújo, IvandraGrilo, AnaSilva, Carina2023-08-01T11:23:52Z2023-072023-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/16354engAraújo I, Grilo AM, Silva C. Portuguese validation of the Unified Theory of Acceptance and Use of Technology Scale (UTAUT) to a COVID-19 mobile application: a pilot study. Healthcare (Basel). 2023;11(13):1916.10.3390/healthcare11131916info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T10:14:57Zoai:repositorio.ipl.pt:10400.21/16354Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:23:54.482854Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Portuguese Validation of the Unified Theory of Acceptance and Use of Technology Scale (UTAUT) to a COVID-19 mobile application: a pilot study
title Portuguese Validation of the Unified Theory of Acceptance and Use of Technology Scale (UTAUT) to a COVID-19 mobile application: a pilot study
spellingShingle Portuguese Validation of the Unified Theory of Acceptance and Use of Technology Scale (UTAUT) to a COVID-19 mobile application: a pilot study
Araújo, Ivandra
COVID-19
UTAUT scale
Digital health
Mobile application
Scale validation
Portugal
title_short Portuguese Validation of the Unified Theory of Acceptance and Use of Technology Scale (UTAUT) to a COVID-19 mobile application: a pilot study
title_full Portuguese Validation of the Unified Theory of Acceptance and Use of Technology Scale (UTAUT) to a COVID-19 mobile application: a pilot study
title_fullStr Portuguese Validation of the Unified Theory of Acceptance and Use of Technology Scale (UTAUT) to a COVID-19 mobile application: a pilot study
title_full_unstemmed Portuguese Validation of the Unified Theory of Acceptance and Use of Technology Scale (UTAUT) to a COVID-19 mobile application: a pilot study
title_sort Portuguese Validation of the Unified Theory of Acceptance and Use of Technology Scale (UTAUT) to a COVID-19 mobile application: a pilot study
author Araújo, Ivandra
author_facet Araújo, Ivandra
Grilo, Ana
Silva, Carina
author_role author
author2 Grilo, Ana
Silva, Carina
author2_role author
author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Araújo, Ivandra
Grilo, Ana
Silva, Carina
dc.subject.por.fl_str_mv COVID-19
UTAUT scale
Digital health
Mobile application
Scale validation
Portugal
topic COVID-19
UTAUT scale
Digital health
Mobile application
Scale validation
Portugal
description The use of technology has proven to be a powerful tool in the fight against COVID-19 and its variants of concern (Gamma, Beta, Alpha, Delta, and Omicron). The urgency of responding to this worldwide pandemic has accelerated the development of monitoring systems and contact tracing applications. Without technology's contribution, the adverse effects on humanity economically, socially, and psychologically would be even more devastating. This study aimed to translate, adapt, and validate the Unified Theory of Acceptance and Use of Technology (UTAUT) model in a Portuguese university population, to evaluate adherence to a mobile application for tracking COVID-19. An observational cross-sectional study was developed using a sample with 1081 participants (71% female, 59.2% with ages between 16 and 24, and 78.2% of the respondents university students). The Portuguese version model showed good reliability (Cronbach's α = 0.82) and an acceptable overall adjustment to the sample under study (χ2/df = 3.732, CFI = 0.955, TLI = 0.944, RMSEA = 0.05, SRMR = 0.06); however, this model could be improved, as we proved. Since this is a pilot study, more studies are needed. The results indicated that the P-UTAUT can be improved for evaluating adherence to a COVID-19 mobile application.
publishDate 2023
dc.date.none.fl_str_mv 2023-08-01T11:23:52Z
2023-07
2023-07-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.21/16354
url http://hdl.handle.net/10400.21/16354
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Araújo I, Grilo AM, Silva C. Portuguese validation of the Unified Theory of Acceptance and Use of Technology Scale (UTAUT) to a COVID-19 mobile application: a pilot study. Healthcare (Basel). 2023;11(13):1916.
10.3390/healthcare11131916
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dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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