Protocol of a mixed-methods evaluation of Perfect Fit: A personalized mHealth intervention with a virtual coach to promote smoking cessation and physical activity in adults DOI Creative Commons
Milon H. M. van Vliet, Anke Versluis, Niels H. Chavannes

et al.

Digital Health, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 1, 2024

Objective Adopting healthy behavior is vital for preventing chronic diseases. Mobile health (mHealth) interventions utilizing virtual coaches (i.e., artificial intelligence conversational agents) can offer scalable and cost-effective solutions. Additionally, targeting multiple unhealthy behaviors, like low physical activity smoking, simultaneously seems beneficial. We developed Perfect Fit, an mHealth intervention with a coach providing personalized feedback to promote smoking cessation activity. Through innovative methods (e.g., sensor technology) iterative development involving end-users, we strive overcome challenges encountered by interventions, such as shortage of evidence-based insufficient personalization. This paper outlines the content Fit protocol evaluating its feasibility, acceptability, preliminary effectiveness, role participant characteristics, study's feasibility. Methods A single-arm, mixed-method, real-world evaluation study will be conducted in Netherlands. aim recruit 100 adult daily smokers intending quit within 6 weeks. The last approximately 16 Primary outcomes include Fit's feasibility acceptability. Secondary are effectiveness measure characteristics. Quantitative data collected through questionnaires administered at baseline, post-intervention 2, 6, 12 months post-intervention. Qualitative gathered via semi-structured interviews Data analysis involve descriptive analyses, generalized linear mixed models (quantitative) Framework Approach (qualitative), integrating quantitative qualitative during interpretation. Conclusions provide novel insight into potential change strategy. Findings inform further help identify foster Successful prevent diseases public health.

Language: Английский

Cultural adaptation of a self-review tool for health promoting universities in Bulgaria DOI Creative Commons
Petya Boncheva, Клара Докова

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: June 19, 2024

Introduction The Health Promoting University initiative is unknown in Bulgaria, and the health promotion potential of Bulgarian universities has not been studied. In order to examine it, a suitable instrument needed. UK Healthy Universities Network provides an accessible Self-Review-Tool (SRT). Aim: To present process cultural adaptation SRT language. Methods standardized WHO methodology for instruments was followed four stages: (1) Two language translations into were made; (2) An expert Delphi discussion reached consensus on specific promoting (HP) terms, by backward translation; (3) Pilot testing tool among university community representatives conducted through survey small sample, with independent responses questionnaire cognitive interviews; (4) Final revision instrument. Results Ten public experts name various HP terms. other respondents pre-tested tool. Difficulties responding concerned meaning some complex words, system answers, limited applicability statements. Changes made 61 total 68 elements SRT. Conclusion All stages important final result. adapted version would be useful that want make clear commitment improving their wider society.

Language: Английский

Citations

0
Estratégias em segurança de dados na saúde: uma revisão rápida DOI Creative Commons
Igor Trindade,

Rafaela De Araujo,

Shirley Ferreira

et al.

Journal of Health Informatics, Journal Year: 2024, Volume and Issue: 16(Especial)

Published: Nov. 19, 2024

Objetivo: Identificar as principais estratégias em segurança da informação relacionadas ao emprego das Tecnologias Informação e Comunicação Saúde (TICS) na Atenção Primária (APS), seja pelo paciente profissional de saúde. Método: A análise foi conduzida através revisão rápida literatura, empregando-se string busca critérios inclusão exclusão previamente definidos aplicados artigos publicados no período entre 2018 a 2023. Resultados: Após triagem, dez foram incluídos revisão, sendo possível identificar como para o uso seguro TICS: educação continuada, avaliações padronização sistemas, aplicadas por governos pela própria equipe multiprofissional saúde, diferentes países. Conclusão: Há um esforço global garantir bom TICS APS dentre os desafios estão literacia digital acesso à infraestrutura tecnológica adequada destas tecnologias garantia continuada.

Citations

0
Digital transformation of healthcare in Serbia: The importance of digital health literacy DOI
Branko Vujković, Marijana Srećković, Ana Pajičić

et al.

Glasnik javnog zdravlja, Journal Year: 2024, Volume and Issue: 98(4), P. 237 - 244

Published: Jan. 1, 2024

The digital transformation of the healthcare system in Serbia brings numerous advantages, including more effective communication between patients and workers, better access to information improvement preventive therapeutic services. However, level health literacy among primary users remains key challenge. This paper highlighted most important results studies conducted Mačva District, which, after translation, cultural adaptation validation eHealth Literacy Questionnaire (eHLQ), also examined care services District. highlight need for education different demographic groups, especially senior less educated users, as well from rural areas. Finally, recommendations are given so ensure equitable use

Language: Английский

Citations

0
Protocol of a mixed-methods evaluation of Perfect Fit: A personalized mHealth intervention with a virtual coach to promote smoking cessation and physical activity in adults DOI Creative Commons
Milon H. M. van Vliet, Anke Versluis, Niels H. Chavannes

et al.

Digital Health, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 1, 2024

Objective Adopting healthy behavior is vital for preventing chronic diseases. Mobile health (mHealth) interventions utilizing virtual coaches (i.e., artificial intelligence conversational agents) can offer scalable and cost-effective solutions. Additionally, targeting multiple unhealthy behaviors, like low physical activity smoking, simultaneously seems beneficial. We developed Perfect Fit, an mHealth intervention with a coach providing personalized feedback to promote smoking cessation activity. Through innovative methods (e.g., sensor technology) iterative development involving end-users, we strive overcome challenges encountered by interventions, such as shortage of evidence-based insufficient personalization. This paper outlines the content Fit protocol evaluating its feasibility, acceptability, preliminary effectiveness, role participant characteristics, study's feasibility. Methods A single-arm, mixed-method, real-world evaluation study will be conducted in Netherlands. aim recruit 100 adult daily smokers intending quit within 6 weeks. The last approximately 16 Primary outcomes include Fit's feasibility acceptability. Secondary are effectiveness measure characteristics. Quantitative data collected through questionnaires administered at baseline, post-intervention 2, 6, 12 months post-intervention. Qualitative gathered via semi-structured interviews Data analysis involve descriptive analyses, generalized linear mixed models (quantitative) Framework Approach (qualitative), integrating quantitative qualitative during interpretation. Conclusions provide novel insight into potential change strategy. Findings inform further help identify foster Successful prevent diseases public health.

Language: Английский

Citations

0