A Clinical Decision Support System for Remote Monitoring of Cardiovascular Disease Patients: A Clinical Study Protocol
IntroductionCardiovascular 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 p...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-05-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.859890/full |
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| author | Filipa Ventura Pedro Sousa Pedro Sousa Maria Anjos Dixe Paulo Ferreira Ricardo Martinho Ricardo Martinho Sara Simões Dias João Morais João Morais Lino M. Gonçalves Lino M. Gonçalves |
| author_facet | Filipa Ventura Pedro Sousa Pedro Sousa Maria Anjos Dixe Paulo Ferreira Ricardo Martinho Ricardo Martinho Sara Simões Dias João Morais João Morais Lino M. Gonçalves Lino M. Gonçalves |
| author_sort | Filipa Ventura |
| collection | DOAJ |
| description | IntroductionCardiovascular 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 AnalysisThe 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.DiscussionThe 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 DisseminationThe 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. |
| first_indexed | 2024-12-12T02:34:43Z |
| format | Article |
| id | doaj.art-245e6651d7a24d93be05c81d6a60285e |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-12-12T02:34:43Z |
| publishDate | 2022-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-245e6651d7a24d93be05c81d6a60285e2022-12-22T00:41:19ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-05-011010.3389/fpubh.2022.859890859890A Clinical Decision Support System for Remote Monitoring of Cardiovascular Disease Patients: A Clinical Study ProtocolFilipa Ventura0Pedro Sousa1Pedro Sousa2Maria Anjos Dixe3Paulo Ferreira4Ricardo Martinho5Ricardo Martinho6Sara Simões Dias7João Morais8João Morais9Lino M. Gonçalves10Lino M. Gonçalves11The Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), Coimbra, PortugalThe Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), Coimbra, PortugalCenter for Innovative Care and Health Technology (ciTechcare), School of Health Sciences, Polytechnic of Leiria, Leiria, PortugalCenter for Innovative Care and Health Technology (ciTechcare), School of Health Sciences, Polytechnic of Leiria, Leiria, PortugalThe Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra (ESEnfC), Coimbra, PortugalSchool of Technology and Management, Polytechnic of Leiria, Leiria, PortugalCINTESIS-Center for Health Technology and Services Research, University of Porto, Porto, PortugalCenter for Innovative Care and Health Technology (ciTechcare), School of Health Sciences, Polytechnic of Leiria, Leiria, PortugalCenter for Innovative Care and Health Technology (ciTechcare), School of Health Sciences, Polytechnic of Leiria, Leiria, PortugalCardiology Division, Leiria Hospital Center, Leiria, PortugalCardiology Department, Coimbra University Hospital Centre, Coimbra, PortugalFaculty of Medicine, University of Coimbra, Coimbra, PortugalIntroductionCardiovascular 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 AnalysisThe 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.DiscussionThe 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 DisseminationThe 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.https://www.frontiersin.org/articles/10.3389/fpubh.2022.859890/fullmHealthcardiac rehabilitationself-managementpersonalized careclinical study |
| spellingShingle | Filipa Ventura Pedro Sousa Pedro Sousa Maria Anjos Dixe Paulo Ferreira Ricardo Martinho Ricardo Martinho Sara Simões Dias João Morais João Morais Lino M. Gonçalves Lino M. Gonçalves A Clinical Decision Support System for Remote Monitoring of Cardiovascular Disease Patients: A Clinical Study Protocol Frontiers in Public Health mHealth cardiac rehabilitation self-management personalized care clinical study |
| title | A Clinical Decision Support System for Remote Monitoring of Cardiovascular Disease Patients: A Clinical Study Protocol |
| title_full | A Clinical Decision Support System for Remote Monitoring of Cardiovascular Disease Patients: A Clinical Study Protocol |
| title_fullStr | A Clinical Decision Support System for Remote Monitoring of Cardiovascular Disease Patients: A Clinical Study Protocol |
| title_full_unstemmed | A Clinical Decision Support System for Remote Monitoring of Cardiovascular Disease Patients: A Clinical Study Protocol |
| title_short | A Clinical Decision Support System for Remote Monitoring of Cardiovascular Disease Patients: A Clinical Study Protocol |
| title_sort | clinical decision support system for remote monitoring of cardiovascular disease patients a clinical study protocol |
| topic | mHealth cardiac rehabilitation self-management personalized care clinical study |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.859890/full |
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