ClinicalTrials.gg
Not yet recruitingNCT05196802mHEART4UUpdated Jan 19, 2022

Clinical Decision Support System for Remote Monitoring of Cardiovascular Disease Patients

An interventional study of mHeart.4u in Decision Support Systems, Clinical, sponsored by Escola Superior de Enfermagem de Coimbra. Not yet recruiting. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2022-01-19.

Sponsored by Escola Superior de Enfermagem de Coimbra · Not applicable, Interventional, and Treatment

From the registry’s dates

  • Primary completion was expected by Jun 2023, 3 years 5 months ago, but the record still lists the study as not yet recruiting.
Phase
Not applicable
Study type
Interventional
Enrollment
212
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

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).

02

Conditions studied

  • Decision Support Systems, Clinical

Keywords

  • Decision Support Systems, Clinical
  • Telemedicine
  • cardiac rehabilitation
03

In context

Lead sponsor

Escola Superior de Enfermagem de Coimbra is the lead sponsor of 11 studies on the registry; 1 is open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

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

Exclusion Criteria:

  • Participants will be excluded if they have class III/IV heart failure, terminal disease, or significant non-cardio vascular disease exercise limitations.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

NYHA class (heart failure)

The New York Heart Association’s four classes of how much heart failure limits physical activity.

I
No limits: ordinary activity causes no undue tiredness or breathlessness.
II
Slight limits: comfortable at rest, ordinary activity causes symptoms.
III
Marked limits: comfortable at rest, less than ordinary activity causes symptoms.
IV
Symptoms even at rest; any activity makes them worse.

Studies set their own limit — many outside heart failure leave out class III–IV, while heart failure studies may ask for a particular class. Check the class this study names.

05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
212 participants (estimated)

Study arms

  • Experimental
    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.

    Combination Product: mHeart.4u

  • No intervention
    Standard care

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

Interventions

  • Combination productmHeart.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)

06

What researchers measure

Primary outcomes

  1. Recurrent cardiovascular event rates

    This outcome is a composite of cardiovascular rehospitalization or urgent visit, unplanned revascularization, cardiovascular mortality, or worsening heart failure

    Time frame: Two measurement timepoints: 3-month (T1) and the 6-month (T2)

Secondary outcomes

  1. Quality of life score (assessed by the MacNew Heart Disease Health-related Quality of Life questionnaire)

    The MacNew Heart Disease Health-related Quality of Life questionnaire consists of 27 items which fall into three domains (physical limitations domain scale, emotional function domain scale, and social function domain scale). Scoring of the MacNew is straight-forward. The maximum possible score in any domain is 7 (high quality of life) and the minimum is 1 (poor quality of life).

    Time frame: Two measurement timepoints: 3-month (T1) and the 6-month (T2)

  2. Adherence to treatment score (assessed by the Therapeutic Self-care Scale)

    The Therapeutic Self-care Scale total score (from 0 to 60 points) corresponds to a high level of performance in therapeutic self-care. The scale is designed to assess patients' ability to engage in four aspects of self-care: taking medications as prescribed by the doctor; identifying and managing symptoms; performing activities of daily living; and managing changes in condition.

    Time frame: Two measurement timepoints: 3-month (T1) and the 6-month (T2)

  3. Body Mass Index (in Kg/m^2)

    The Body Mass Index is a measure of body fat based on height and weight. It is calculated by a person's weight in kilograms divided by the square of height in meters.

    Time frame: Two measurement timepoints: 3-month (T1) and the 6-month (T2)

  4. Health-Promoting Lifestyle score (assessed by the Health-Promoting Lifestyle Profile-II)

    The Health-Promoting Lifestyle Profile-II consists of 52 health-promoting behavior items that are categorized into six subscales: health responsibility, spiritual growth, physical activity, interpersonal relationships, nutrition, and stress management. Each behavior is measured from 1 (never) to 4 (regularly). The total score of the scale ranges from 52 to 208 (higher scores represents healthier lifestyles).

    Time frame: Two measurement timepoints: 3-month (T1) and the 6-month (T2)

Other outcomes

  1. Cardiovascular risk assessed by the Systematic COronary Risk Evaluation (SCORE)

    The Systematic COronary Risk Evaluation (SCORE) is derived from a large dataset of prospective European studies and predicts fatal atherosclerotic cardiovascular events over a ten year period. This relative risk estimation (percentage) is based on the following risk factors: gender, age, smoking, systolic blood pressure and total cholesterol.

    Time frame: Baseline

07

Study locations

No study locations are listed for this record.

08

References and documents

Publications

  • 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. PubMed 32012103 ↗
  • 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. PubMed 31769527 ↗
  • 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. PubMed 29724635 ↗
  • 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. PubMed 28976824 ↗
  • 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. PubMed 29233804 ↗
  • 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. PubMed 26936337 ↗
  • 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. Erratum In: Eur Heart J. 2014 Jul 14;35(27):1824. PubMed 23996285 ↗
  • 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. PubMed 16328913 ↗
  • 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. PubMed 25389054 ↗
  • 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. PubMed 32405300 ↗
  • 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. PubMed 35615041 ↗

Individual participant data

Plan to share: Yes — Individual participant data sets that underlie results of the scientific publication will be considered for sharing with other researchers.

Supporting information: Study protocol, Clinical study report

Time frame: Data will become available within three months after publication of the scientific report of the RCT for a period of months

Access criteria: Access criteria will be defined upon elaboration of the IPD plan and will be assessed by the principal investigator.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Start is estimated for Jan 2023; primary completion for Jun 2023, 5 months later.

How these figures are worked out, and which studies are left out of them.

Registered
Dec 21, 2021
First posted
Jan 19, 2022
StartEst.
Jan 2023
Primary completionEst.
Jun 2023
CompletionEst.
Dec 2026
Last update
Jan 19, 2022
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Jan 19, 2022, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05196802
Lead sponsor
Escola Superior de Enfermagem de Coimbra
Collaborators
Instituto Politécnico de Leiria
Responsible party
Pedro Miguel Lopes de Sousa (Adjunct Professor, Escola Superior de Enfermagem de Coimbra) — Principal investigator
First posted
Jan 19, 2022
Start date
Jan 2023 (estimated)
Primary completion
Jun 2023 (estimated)
Completion
Dec 2026 (estimated)
Last update
Jan 19, 2022

Study contacts

Pedro Sousa, PhD
Contact
pmlsousa@esenfc.pt
+351 239 802 850
Pedro Sousa, PhD
principal investigator · Nursing School of Coimbra

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Jan 2022. You cannot join it, but the record below documents what was studied.

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