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The long-term user experience of an m-Health application

Dados Bibliográficos

ID16883046
AutoresJakeline Karla Locatelli (0000-0003-2675-3740, Universidade de Passo Fundo), Silvana Alba Scortegagna (0000-0002-5100-6459, Universidade de Passo Fundo), Ana Carolina Bertoletti De Marchi (0000-0002-7704-3119, Universidade de Passo Fundo)
Ano2023
Volume17
Fascículo4
Páginas850-866
Data de publicação2023-12-15
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoRevista Eletrônica de Comunicação, Informação e Inovação em Saúde (JOURNAL)
Identificadores do periódicoISSN: 1981-6278 • E-ISSN: 1981-6278
EditoraInstituto de Comunicacao e Informacao Cientifica e Tecnologica em Saude (PUBLISHER)
DOI10.29397/reciis.v17i4.3828
OpenAlexW4389781289
IdiomaEN
Citações recebidas1
Referências citadas3

Low user engagement in m-Health applications has been driving the use of retention techniques that aim to ensure a satisfactory long-term user experience. The aim was to understand the experience of hypertensive patients interacting with a mobile health application for 12 months. A qualitative/exploratory study was conducted after 12 months, with the same experimental group of participants as the non-randomized controlled clinical trial conducted in 2019. The mean age of the 16 participants was 57 years (SD=8), of which11 were female. All had low socioeconomic and educational levels. Content analysis showed no engagement with the m-health app over time. The main factors contributing to the lack of engagement were; inability of the user to use the app, lack of support and technical problems. When designing m-Health interventions, it is important to understand users' behavioral characteristics, motivations for treatment, level of involvement in health care, and ability to use technology

Environmental health · Exploratory research · Psychological intervention · Randomized controlled trial · Socioeconomic status · User engagement · World Wide Web · Applied Psychology · Computer Science · Medicine · Mobile Health and mHealth Applications · Nursing · Psychology · Technology Use by Older Adults · Gerontology

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    Open Access•Daiana Biduski, Ericles Andrei Bellei et al.•Computers in Human Behavior•2020

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  • Tecnologia mHealth na prevenção e no controle de obesidade na perspectiva do letramento em saúde

    Open Access•Leyla Márcia Ramos Oliveira, Clarice Maria Araújo Chagas Vergara et al.•Saúde em Debate•2018

Obras citantes distintas1
Citações por ano1
Intervalo de citações2025 - 2025 (1)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 1

Ferramentas

Abrir DOIOpen Access
Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae