Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

A Clinical Decision Support System for Remote Monitoring of Cardiovascular Disease Patients

A Clinical Study Protocol

Dados Bibliográficos

ID22073152
AutoresFilipa Ventura (0000-0001-5722-5612, Escola Superior de Enfermagem de Coimbra), Pedro Sousa (0000-0002-6313-532X, Instituto Politécnico de Leiria, autor correspondente), Maria dos Anjos Dixe (0000-0001-9035-8548, Instituto Politécnico de Leiria), Paulo H Ferreira (0000-0001-6312-6098, Escola Superior de Enfermagem de Coimbra), Paulo Ferreira (0000-0003-1142-3538), Ricardo Martinho (0000-0003-1157-7510, Instituto Politécnico de Leiria), Sara Simões Dias (0000-0001-6782-7481, Instituto Politécnico de Leiria), João Morais (0000-0001-8310-8137, Instituto Politécnico de Leiria), Lino Gonçalves (0000-0001-9255-3064, University of Coimbra), Lino M Gonçalves
Ano2022
Volume10
Páginas859890-859890
Data de publicação2022-05-09
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoFrontiers in Public Health (JOURNAL)
Identificadores do periódicoISSN: 2296-2565 • E-ISSN: 2296-2565
EditoraFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.859890
PMID35615041
OpenAlexW4229367535
IdiomaEN
Referências citadas38

Introduction: Cardiovascular diseases (CVD) are the leading cause of death globally, taking an estimated 17. 9 million lives each year. Cardiac rehabilitation is shown to reduce mortality and hospital readmissions, while improving physical fitness and quality of life. Despite the recommendations and proven benefits, acceptance and adherence remain low. Mobile health (mHealth) solutions may contribute to more personalized and tailored patient recommendations according to their specific needs. This study protocol aims to assess the effectiveness of a user-friendly, comprehensive Clinical Decision Support System (CDSS) for remote patient monitoring of CVD patients, primarily on the reduction of recurrent cardiovascular events. Methods and Analysis: The study will follow a multicenter randomized controlled design involving two cardiology units in the Center Region of Portugal. Prospective CVD patients will be approached by the healthcare staff at each unit and checked for eligibility according to the predefined inclusion/exclusion criteria. The CDSS will suggest a monitoring plan for the patient, will advise the mHealth tools (apps and wearables) adapted to patient needs, and will collect data. The clinical study will start in January 2023. Discussion: The success of the mHeart.4U intervention will be a step toward the use of technological interfaces as an integrating part of CR programs. Ethics and Dissemination: The study will undergo ethical revision by the Ethics Board of the two hospital units where the study will unfold. The study was registered in ClinicalTrials.gov on 18th January 2022 with the number NCT05196802. The study findings will be published in international peer-reviewed scientific journals and encounters and in a user-friendly manner to the society

Alternative medicine · Clinical decision support system · Clinical trial · Decision support system · Disease · Health care · Medical emergency · MEDLINE · mHealth · Psychological intervention · Cardiac Health and Mental Health · Cardiovascular and exercise physiology · Computer Science · Medicine · Mobile Health and mHealth Applications · Nursing · Psychology

  • SPIRIT 2013 Statement

    Open Access•An-Wen Chan, An‐Wen Chan et al.•Annals of Internal Medicine•2013

  • Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016

    Open Access•Mohsen Naghavi, Amanuel Alemu Abajobir et al.•The Lancet•2017

  • Elaboration of the Gothenburg model of person‐centred care

    Open Access•Nicky Britten, Lucy Moore et al.•Health Expectations•2017

  • Evaluative and Discriminative Properties of the Portuguese MacNew Heart Disease Health-related Quality of Life Questionnaire

    Open Access•António Rui Marcelino Leal, A Leal et al.•Quality of Life Research•2005

Velocidade de citaçãohistorical
Altamente citadoNão
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