Clinical Decision Support System for Remote Monitoring of Cardiovascular Disease Patients

NCT ID: NCT05196802

Last Updated: 2022-01-19

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Clinical Phase

NA

Total Enrollment

212 participants

Study Classification

INTERVENTIONAL

Study Start Date

2023-01-31

Study Completion Date

2026-12-31

Brief Summary

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Cardiovascular diseases (CVD) are the leading cause of death worldwide, taking an estimated 17.9 million lives each year. The reduction of CVD-related mortality and morbidity is a key global health priority. Cardiac rehabilitation (CR) is a multi-factorial and comprehensive intervention in secondary prevention, being recommended in international guidelines. Core components in CR include patient assessment, physical activity counseling, nutritional counseling, risk factor control, patient education, and psychosocial management. CR has been shown to reduce mortality, hospital readmissions, costs, as well as to improve physical fitness, quality of life, and psychological well-being. However, despite the recommendations and proven benefits, acceptance and adherence remain low. Access to health technologies in all primary and secondary healthcare facilities can be essential to ensure that those in need receive treatment and counseling.

Using mobile health (mHealth) solutions may contribute to more personalized and tailored patient recommendations according to their specific needs. Also, these technologies contribute to increasing the flexibility, quality, and efficiency of the services provided by health institutions.

Time constraints, patient overpopulation, and complex guidelines require alternative solutions for real-time patient monitoring. Rapidly evolving e-health technology combined with clinical decision support systems (CDSS) provides an effective solution to these problems. There are several computerized CDSS for managing chronic diseases; however, to the best of our knowledge, there are none for the e-management of patients with CVD.

The purpose of this transdisciplinary research project is to develop and evaluate a user-friendly, comprehensive CDSS for remote monitoring of CVD patients. The CDSS will suggest a monitoring plan for the patient, advise the mHealth tools (apps and wearables) adapted to patient needs, and collect data. The primary outcome will be the reduction of recurrent cardiovascular events (a composite of cardiovascular rehospitalization or urgent consultation, unplanned revascularization, cardiovascular mortality, or worsening heart failure).

Detailed Description

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Conditions

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Decision Support Systems, Clinical

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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mHeart.4u

The mHEART.4U intervention includes the use of an online Clinical Decision Support System (CDSS) for remote patient monitoring. According to the patient needs and profile, the CDSS will suggest a monitoring plan for the patient. The mHEART.4U kit will include mobile apps and wearables, such as heart rate, blood pressure, peripheral oxygen saturation (SpO2), sleep and step trackers, symptoms, lifestyle self-monitoring tools, medication reminders or motivational resources. The intervention length will be 6 months and will take into account the most recent guidelines on Cardiac Rehabilitation.

Group Type EXPERIMENTAL

mHeart.4u

Intervention Type COMBINATION_PRODUCT

The mHeart.4U is a multiple-components intervention entailing the adoption and use of technological devices and self-management recommendations tailored to behavioural modifications (e.g. physical exercise and dietary patterns)

Standard care

This arm will receive treatment and care according to the prevailing practice at each of the cardiac hospital units.

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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mHeart.4u

The mHeart.4U is a multiple-components intervention entailing the adoption and use of technological devices and self-management recommendations tailored to behavioural modifications (e.g. physical exercise and dietary patterns)

Intervention Type COMBINATION_PRODUCT

Eligibility Criteria

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Inclusion Criteria

* Patients attending the cardiology outpatient clinics after the onset of acute cardiac event OR
* Patients attending the cardiology outpatient clinics who are engaged in a structured Cardiac Rehabilitation program
* Be able to communicate with the researcher

Exclusion Criteria

* Participants will be excluded if they have New York Heart Association class III/IV heart failure, terminal disease, or significant non-cardio vascular disease exercise limitations.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Instituto Politécnico de Leiria

OTHER

Sponsor Role collaborator

Escola Superior de Enfermagem de Coimbra

OTHER

Sponsor Role lead

Responsible Party

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Pedro Miguel Lopes de Sousa

Adjunct Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Pedro Sousa, PhD

Role: PRINCIPAL_INVESTIGATOR

Nursing School of Coimbra

Central Contacts

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Pedro Sousa, PhD

Role: CONTACT

+351 239 802 850

References

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Rawstorn JC, Ball K, Oldenburg B, Chow CK, McNaughton SA, Lamb KE, Gao L, Moodie M, Amerena J, Nadurata V, Neil C, Cameron S, Maddison R. Smartphone Cardiac Rehabilitation, Assisted Self-Management Versus Usual Care: Protocol for a Multicenter Randomized Controlled Trial to Compare Effects and Costs Among People With Coronary Heart Disease. JMIR Res Protoc. 2020 Jan 27;9(1):e15022. doi: 10.2196/15022.

Reference Type BACKGROUND
PMID: 32012103 (View on PubMed)

Su JJ, Yu DSF, Paguio JT. Effect of eHealth cardiac rehabilitation on health outcomes of coronary heart disease patients: A systematic review and meta-analysis. J Adv Nurs. 2020 Mar;76(3):754-772. doi: 10.1111/jan.14272. Epub 2020 Feb 3.

Reference Type BACKGROUND
PMID: 31769527 (View on PubMed)

Abreu A, Mendes M, Dores H, Silveira C, Fontes P, Teixeira M, Santa Clara H, Morais J. Mandatory criteria for cardiac rehabilitation programs: 2018 guidelines from the Portuguese Society of Cardiology. Rev Port Cardiol (Engl Ed). 2018 May;37(5):363-373. doi: 10.1016/j.repc.2018.02.006. Epub 2018 Apr 30. English, Portuguese.

Reference Type BACKGROUND
PMID: 29724635 (View on PubMed)

Quaosar GMAA, Hoque MR, Bao Y. Investigating Factors Affecting Elderly's Intention to Use m-Health Services: An Empirical Study. Telemed J E Health. 2018 Apr;24(4):309-314. doi: 10.1089/tmj.2017.0111. Epub 2017 Oct 4.

Reference Type BACKGROUND
PMID: 28976824 (View on PubMed)

Slater H, Campbell JM, Stinson JN, Burley MM, Briggs AM. End User and Implementer Experiences of mHealth Technologies for Noncommunicable Chronic Disease Management in Young Adults: Systematic Review. J Med Internet Res. 2017 Dec 12;19(12):e406. doi: 10.2196/jmir.8888.

Reference Type BACKGROUND
PMID: 29233804 (View on PubMed)

Rawstorn JC, Gant N, Direito A, Beckmann C, Maddison R. Telehealth exercise-based cardiac rehabilitation: a systematic review and meta-analysis. Heart. 2016 Aug 1;102(15):1183-92. doi: 10.1136/heartjnl-2015-308966. Epub 2016 Mar 2.

Reference Type BACKGROUND
PMID: 26936337 (View on PubMed)

Authors/Task Force Members; Ryden L, Grant PJ, Anker SD, Berne C, Cosentino F, Danchin N, Deaton C, Escaned J, Hammes HP, Huikuri H, Marre M, Marx N, Mellbin L, Ostergren J, Patrono C, Seferovic P, Uva MS, Taskinen MR, Tendera M, Tuomilehto J, Valensi P, Zamorano JL; ESC Committee for Practice Guidelines (CPG); Zamorano JL, Achenbach S, Baumgartner H, Bax JJ, Bueno H, Dean V, Deaton C, Erol C, Fagard R, Ferrari R, Hasdai D, Hoes AW, Kirchhof P, Knuuti J, Kolh P, Lancellotti P, Linhart A, Nihoyannopoulos P, Piepoli MF, Ponikowski P, Sirnes PA, Tamargo JL, Tendera M, Torbicki A, Wijns W, Windecker S; Document Reviewers; De Backer G, Sirnes PA, Ezquerra EA, Avogaro A, Badimon L, Baranova E, Baumgartner H, Betteridge J, Ceriello A, Fagard R, Funck-Brentano C, Gulba DC, Hasdai D, Hoes AW, Kjekshus JK, Knuuti J, Kolh P, Lev E, Mueller C, Neyses L, Nilsson PM, Perk J, Ponikowski P, Reiner Z, Sattar N, Schachinger V, Scheen A, Schirmer H, Stromberg A, Sudzhaeva S, Tamargo JL, Viigimaa M, Vlachopoulos C, Xuereb RG. ESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD: the Task Force on diabetes, pre-diabetes, and cardiovascular diseases of the European Society of Cardiology (ESC) and developed in collaboration with the European Association for the Study of Diabetes (EASD). Eur Heart J. 2013 Oct;34(39):3035-87. doi: 10.1093/eurheartj/eht108. Epub 2013 Aug 30. No abstract available.

Reference Type BACKGROUND
PMID: 23996285 (View on PubMed)

Leal A, Paiva C, Hofer S, Amado J, Gomes L, Oldridge N. Evaluative and discriminative properties of the Portuguese MacNew Heart Disease Health-related Quality of Life Questionnaire. Qual Life Res. 2005 Dec;14(10):2335-41. doi: 10.1007/s11136-005-7213-x.

Reference Type BACKGROUND
PMID: 16328913 (View on PubMed)

Sousa P, Gaspar P, Vaz DC, Gonzaga S, Dixe MA. Measuring health-promoting behaviors: cross-cultural validation of the Health-Promoting Lifestyle Profile-II. Int J Nurs Knowl. 2015 Apr;26(2):54-61. doi: 10.1111/2047-3095.12065. Epub 2014 Nov 11.

Reference Type BACKGROUND
PMID: 25389054 (View on PubMed)

Santos P. The Role of Cardiovascular Risk Assessment in Preventive Medicine: A Perspective from Portugal Primary Health-Care Cardiovascular Risk Assessment. J Environ Public Health. 2020 Jan 30;2020:1639634. doi: 10.1155/2020/1639634. eCollection 2020.

Reference Type BACKGROUND
PMID: 32405300 (View on PubMed)

Ventura F, Sousa P, Dixe MA, Ferreira P, Martinho R, Dias SS, Morais J, Goncalves LM. A Clinical Decision Support System for Remote Monitoring of Cardiovascular Disease Patients: A Clinical Study Protocol. Front Public Health. 2022 May 9;10:859890. doi: 10.3389/fpubh.2022.859890. eCollection 2022.

Reference Type DERIVED
PMID: 35615041 (View on PubMed)

Other Identifiers

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mHEART.4U

Identifier Type: -

Identifier Source: org_study_id

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