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A Personal Decision Support System for Heart Failure Management (HeartMan): study protocol of the HeartMan randomized controlled trial

Abstract

Background

Heart failure (HF) is a highly prevalent chronic disease, for which there is no cure available. Therefore, improving disease management is crucial, with mobile health (mHealth) being a promising technology. The aim of the HeartMan study is to evaluate the effect of a personal mHealth system on top of standard care on disease management and health-related quality of life (HRQoL) in HF.

Methods

HeartMan is a randomized controlled 1:2 (control:intervention) proof-of-concept trial, which will enrol 120 stable ambulatory HF patients with reduced ejection fraction across two European countries. Participants in the intervention group are equipped with a multi-monitoring health platform with the HeartMan wristband sensor as the main component. HeartMan provides guidance through a decision support system on four domains of disease management (exercise, nutrition, medication adherence and mental support), adapted to the patient’s medical and psychological profile. The primary endpoint of the study is improvement in self-care and HRQoL after a six-months intervention. Secondary endpoints are the effects of HeartMan on: behavioural outcomes, illness perception, clinical outcomes and mental state.

Discussion

HeartMan is technologically the most innovative HF self-management support system to date. This trial will provide evidence whether modern mHealth technology, when used to its full extent, can improve HRQoL in HF.

Trial registration

This trial has been registered on https://clinicaltrials.gov/ct2/show/NCT03497871, on April 13 2018 with registration number NCT03497871.

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Background

About 1–2% of people in the western world suffer from heart failure (HF) [1]. Although treatment improvements have decreased the number of hospitalizations and deaths due to HF, the burden remains high with half of the HF patients being expected to die within five years after diagnosis, and HF being the most frequent cause of hospitalization in people aged over 65 [2].

Since there is presently no cure available, a better management of HF is crucial. Proper disease management may relieve symptoms, prevent hospitalization or improve survival, but may also affect the patient’s health-related quality of life (HRQoL). The European Society of Cardiology (ESC) Task Force produced guidelines for the diagnosis and management of HF, intended to be used by clinical practitioners [3]. However, previous studies consistently show an insufficient uptake of these guidelines in clinical practice [4]. Of particular concern is the poor implementation of exercise guidelines [5]: participation rates of HF patients in cardiac rehabilitation are generally below 20% in Europe [6]. This calls for action to develop strategies to give appropriate and effective personalized lifestyle advice to HF patients.

A promising technology for improving disease management in HF may be mobile health (mHealth), which encompasses the use of mobile devices as a support to clinical practice. mHealth has already been implemented in HF patients to provide regular follow-up and physiological monitoring, to ensure safety and to detect complications [7]. In addition, it may be a tool to deliver education and support patients regarding self-monitoring and self-management. However, evidence on the effectiveness of this approach in HF patients has been diverse. A recent meta-analysis suggests clinical benefits on all-cause mortality and heart failure related hospitalisations [8], but large clinical trials did not show any effect on readmission or death [9, 10]. However, the BEAT-HF trial found despite the absence of reduced rehospitalization or mortality, an improvement in HRQoL [11].

HRQoL and perceived health status, both patient-reported outcomes (PROs), have increasingly been recognized as outcomes of interest in HF and coronary patients [12, 13]. PROs are not surrogates for harder endpoints such as mortality, but rather represent independent outcomes [14]. Nevertheless, some studies report that HRQoL and health status may be predictive of clinical events in HF [15, 16], suggesting a relation between both types of outcome. These findings indicate that patients’ perceptions of worsening symptoms might carry vital prognostic information, and should be implemented in trials evaluating disease management.

An aspect that has been largely ignored in mHealth trials is the psychological aspect that is necessary to start changing behaviour and to cope with HF symptoms. Psychological interventions such as cognitive behavioural therapy and mindfulness exercises have already been shown to be successful in changing lifestyle behaviour [17, 18] and to significantly reduce anxiety, depression and clinical symptoms which are common in HF patients [19]. Therefore, implementing psychological interventions in mHealth technology may offer an added value.

This paper presents the study protocol of HeartMan (Personal Decision Support System For Heart Failure Management) which aims to develop a personal health system to improve disease management and HRQoL in HF. In this system, patients’ monitoring is focused on their physical condition and psychological state. This data is integrated into a decision support system (DSS), which is an information system supporting complex decision making processes. In HeartMan, the DSS suggests the most appropriate intervention (including exercise, nutrition, medication and mental support) to modify and manage the patient’s lifestyle, adapted to his psychological profile in order to increase adherence to the medical advice.

Study design

Design

HeartMan is a randomized controlled 1:2 (control:intervention) proof-of-concept trial, being conducted across two countries (Belgium and Italy) to compare standard care in HF with the addition of a personal mHealth system on top of standard care. In each country 60 patients are enrolled for a six-month period. Hence 40 patients in total are included in the control group and 80 in the intervention group.

Study objectives and outcome measures

The overall objective of HeartMan is to improve disease management, resulting in an improvement in HRQoL after a 6 months intervention period.

Secondary objectives are the effects of HeartMan on behavioural outcomes, illness perception and clinical outcomes which may impact disease management and HRQoL. Additional secondary aims encompass the effects of psychological interventions within HeartMan and a user-friendly design of the HeartMan system.

Primary and secondary outcome measures, which are assessed in the intervention and control group, are listed below. These measures are collected at start and end of the study, unless otherwise stated.

Primary objective

  • The primary endpoint is the self-reported improvement in self-care and HRQoL, measured by the Self-care of Heart Failure Index [20] and Minnesota Living with Heart Failure Questionnaire [21]

Secondary objectives

  • Effect of HeartMan on behavioural outcomes, which are:

    • Adherence to dietary recommendations, measured by a self-composed questionnaire on nutritional knowledge and eating behaviour

    • Activity behaviour, daily measured by the number of calories (via an accelerometer in the HeartMan wristband sensor)

    • Medication adherence by questioning the patient on their medication intake on a weekly basis

    • Sexual activity, assessed with the Sexual Adjustment Scale [22] and Needs for Sexual Counselling Scale in chronic HF [23]

  • Effect of HeartMan on illness perception, evaluated with the Brief Illness Perception Questionnaire [24]

  • Effect of HeartMan on exercise tolerance, measured by:

    • Change in resting heart rate and heart rate during exercise

    • Distance obtained at the six–minute walking test (6MWT) [25]

  • Effect of psychological interventions in HeartMan – cognitive behavioural therapy and mindfulness exercises – on anxiety and depressive feelings, measured with State Trait Anxiety Inventory [26] and the Beck Depression Inventory II [27]

  • Evaluation of the user experience of HeartMan to assess the expectations towards the system and the patient’s experiences (only measured in the intervention group), evaluated with the Unified Theory of Acceptance and Use of Technology questionnaire, [28] adapted to the objectives of the HeartMan system and to the population of elderly users [29]

Sample size calculation

Sample size calculations were based on primary outcome data from the CHIRON project [13], showing that 90 patients are needed to show a difference of 5.8 beats per min in average daily awake heart rate– as a fundamental parameter correlating with HRQoL – with 90% power between the two groups. In order to account for possible drop-outs, the trial is performed enrolling 120 patients – 60 in each of the two participating countries – based on a 1:2 (control:intervention) randomization protocol.

Study population

In order to be eligible for inclusion the following criteria were used:

  • Willing and able to make use of a smartphone and to give informed consent for participation in the study

  • Adults ≥18 years old

  • Ischemic or non-ischemic HF disease

  • Functional New York Heart Association (NYHA) class 2–3

  • Reduced left ventricular ejection fraction ≤40%

  • Ambulatory HF patients in stable condition: at least one hospitalization due to HF, but no hospitalization during the month before start of the trial and no planned surgery

  • Good cognitive function, if cognitive impairment is suspected, the patient will be evaluated with Mini Mental State Examination (MMSE)

  • Sufficient knowledge of the native language (Dutch in Belgium, Italian in Italy)

HF patients who fulfil the above mentioned criteria are excluded if:

  • They suffer from a concomitant end-stage chronic kidney disease necessitating haemodialysis

  • They are already participating in a disease management program influencing the HeartMan intervention

Investigation procedure

A general overview of this study is presented in Fig. 1 and described in detail in following paragraphs.

Fig. 1
figure 1

Study flow chart

Recruitment and enrolment

Patient recruitment is organized across three Belgian and one Italian hospital, representing one geographic area in each country. The participating hospitals in Belgium include one university hospital (University Hospital Ghent) and two local hospitals (AZ Maria Middelares Ghent and OLV Hospital Aalst). In Italy, one local hospital (Rieti General Hospital) as well as the local health authority (ASL Rieti) with their general physicians is involved.

The target population screened for participation are stable ambulatory HF patients who visit their treating cardiologist on a regular basis. At the time of consultation, the physician or HF nurse identifies eligible patients, briefly presents the study and asks about their interest in participation. If the patient shows interest, he is asked to come back for a scheduled appointment. Treating cardiologists and general physicians (for Italy) may also directly contact an eligible candidate, if the patient has no planned routine consultation in the immediate future.

Baseline visit

After patients have signed the informed consent form stating their willingness to be randomized, a baseline assessment is planned in the hospital maximum 20 weeks prior to the start of the trial. During this visit, all patients perform a 6MWT, which is in line with the recommendations of the Heart Failure Association of the ESC [5] to evaluate one’s exercise capacity in case cardiopulmonary exercise testing (CPET) is not available.

In addition, every participant receives a self-administered questionnaire package which is filled in during the baseline assessment. These questionnaires have previously been described in the study outcome measures section and details are listed in Table 1.

Table 1 Overview of the questionnaire package

Following this assessment, patients are randomized to the intervention or control group according to a sealed randomization scheme with two balanced series of 60 envelopes (one for each country), each containing a random series of 20 control and 40 experimental numbers. In order to handle potential early drop-out of patients, a separate series of 24 sealed and balanced envelopes (12 for each country) is prepared.

Parallel to the baseline assessment, the following parameters are retrieved from the medical patient file as an additional base for providing personalized lifestyle advice: demographic and clinical characteristics, HF-related characteristics and laboratory parameters, risk factors, comorbidities, medication use and exercise capacity.

Intervention

Instructions concerning the HeartMan intervention tool are given to the intervention group during a home visit.

Intervention equipment

Participants randomized to the intervention group are equipped with a multi-monitoring health platform able to monitor, process and fuse physio-psychological and behavioural data. The main component of the trial equipment is the HeartMan wristband sensor developed by BITTIUM (Oulo, Finland). This is an ambulatory recorder and transmitter for heart rate, heart rate variability, galvanic skin response, skin temperature, respiration rate and motion. This wristband has Bluetooth communication, recording function, display, haptic interface and the ability to synchronize with other external devices. Apart from the HeartMan wristband sensor, the equipment consists of registered and commercially available devices including a digital bathroom scale (ADE, Model Silje BE1303), upper arm blood pressure monitor (A&D Medical, Model Number UA-611) and a pill box organizer (PuTwo, 7-Day AM/PM Night Reminder Medi-Planner). Furthermore, a smartphone (Nokia 6 TA_1021) with HeartMan app installed is provided for the duration of the trial.

Intervention components for the patient

Information coming from the trial equipment, baseline visit and medical patient file are integrated into the HeartMan DSS. The major component is personalized lifestyle advice on nutrition and exercise. The second intervention modality includes general notifications for medication intake with possibility to track the weekly consumption. The third component encompasses cognitive behavioural therapy and mindfulness exercises, which are offered for treating anxiety and depressive symptoms and to improve adherence. The fourth modality are reminders for physician’s appointments, which can additionally be activated upon the patient’s request. The fifth intervention element is a graphical presentation of progress and success in following the advice, designed to improve the patient’s adherence to HF management. The last type of intervention component is education about HF disease and its treatment, which is provided in a library to be consulted on a voluntary basis. All these different types of interventions are delivered by notifications in a personalized way adapted to the patient’s psychological profile (based on State Trait Anxiety Inventory [26] and Beck Depression Inventory II [27]).

A detailed overview of these intervention components is given in Table 2.

Table 2 Overview of the HeartMan intervention components

Intervention component for the caregiver: Web interface

Apart from functionalities focusing on patient’s disease management, HeartMan provides valuable information for formal caregivers. Through a web interface, treating physicians may check adherence and progress of their patient by graphical presentations giving an overview of a certain period of time.

Alert notifications

Once a patient has received the trial equipment and necessary instructions, the HeartMan app is intended as a stand-alone application used by the patient, without additional support of the HF nurse. Since HF patients need to monitor their weight, heart rate and blood pressure on a regular basis, the HeartMan app will remind them to take these measurements. Unexpected results in these parameters are not transferred to the hospital but the patient will get a notification to contact his treating physician. If predefined exercise requirements concerning heart rate or blood pressure are not met before starting the exercise program or exceed the predefined limits during exercise, a similar notification will appear. A helpdesk for technical questions related to the HeartMan system is available on weekdays from 9 a.m. until 4 p.m. This may strengthen the patient’s role in his own disease management. Table 3 presents the cut-off limits of the alert notifications.

Table 3 Alert notifications

Standard care

The HeartMan intervention is provided on top of standard care which is given to all HF patients, regardless of the randomization process. Standard care consists of optimal medical treatment according to the guidelines [3], and written and oral education on HF disease and its management provided by the HF nurse. Regular visits to the treating physician are scheduled several times per year.

End-of-study visit

The intervention is terminated after using the system for three to six months. At this time, all participants from the intervention and control group undergo the end-of-study examination in the hospital that entails the same questionnaires and tests as during the baseline visit.

Statistical analysis

The main analysis of primary and secondary endpoints will be based on the Intention-To-Treat principle, i.e. including all patients in the analysis who did not drop out within the first 4 weeks of the trial. In order to assess the clinical effect of the HeartMan intervention on the different outcomes, an additional per-protocol analysis will be performed in patients who adhere to the treatment plan for at least 50%. Based on these results, a dose-response analysis will be conducted to verify the relation between the level of adherence and intervention effects.

Prior to each analysis, distribution of the variables will be checked in order to choose correct statistical tests and identify outliers. In all analyses, p values < 0.05 will be considered to be statistically significant.

Effects of the proof-of-concept trial will be assessed by analysing baseline and end-of-investigation data between and among treatment groups. The primary endpoint of the HeartMan project is the self-reported improvement in HRQoL. First, T-tests or its non-parametric variant and chi-square tests will be used to compare the characteristics between the groups. Next, in order to assess the effect of the intervention among the different groups, a repeated measures design with time*group interaction effect will be chosen. A similar statistical approach will be performed for the secondary analyses.

Handling missing data

A great effort will be made to have complete data on outcome measures and to use all obtained information. For early drop-out within 4 weeks after starting the intervention, novel candidates will be foreseen.

For those who drop out in a later phase, efforts will be made to perform the end-of-study examination and if not feasible, these will be considered as missing data. In the case of missing data, some of the outcome measures (e.g. heart rate or blood pressure) can be retrieved through data from the HeartMan system, using the Last Observation Carried Forward (LOCF) principle.

Discussion

HeartMan aims to provide appropriate and comprehensive guidance on different domains of disease management in HF, tailored to the patient’s medical and psychological profile. This approach is intended to have a positive impact on HRQoL, which is the primary outcome of this trial.

The focus on HRQoL as a primary outcome instead of targeting hard outcomes such as mortality and hospitalization is one of the innovative approaches in comparison with previous mHealth studies. [8,9,10] HRQoL has gained more attention lately, often as a secondary outcome [11], although it also becomes more prominent as a primary outcome in recent studies [13].

Results on the effectiveness of mHealth technologies are rather mixed. Plausible reasons may be the focus on a single intervention modality (e.g. education) or a lack of patient’s adherence to technology. In HeartMan, the combination of different intervention modalities, adapted to the individual patient’s physical and psychological condition, is a unique approach, which makes HeartMan stand out from related projects. Another aspect that may increase the likelihood of successful adherence is the involvement of patients in the designing process of HeartMan, making it more adapted to the patient’s daily life.

HeartMan is aimed at evaluating the overall impact of the various active interventions on HRQoL. An analysis of the separate effects of the different intervention components will however not be possible due to the design of the current trial. This may be done in the future with specifically designed trials in case the present trial may succeed. The HeartMan trial will be implemented in two countries, which will allow us to gain more insight into the use of HeartMan across different cultures. However, the minor differences in the recruitment process may create a selection bias which has to be investigated in a post-hoc analysis. This study is a proof-of-concept trial, which may lead to preliminary study results and a limited generalizability. Nevertheless, these results may serve as a basis for larger studies in the future. A barrier that may also affect the generalizability is the exclusion of HF patients with end-stage chronic kidney disease or severe cognitive impairment. The reason for excluding these patients is the physical and cognitive demand of the HeartMan intervention, making participation difficult. Finally, this type of intervention with the use of new technologies including a smartphone may make involvement for elderly patients challenging, but a careful design adapted to the user’s perspective together with home visits and a help desk for technical support should make participation feasible even for this elderly population.

In conclusion, HeartMan is technologically the most innovative HF self-management support system to date. This trial will provide evidence whether modern mHealth technology, when used to its full extent, can improve HRQoL in HF.

Trial status

The HeartMan trial is actively enrolling participants at the moment of manuscript submission.

Abbreviations

6-MWT:

Six-minute walking test

CPET:

Cardiopulmonary exercise testing

DSS:

Decision support system

ESC:

European Society of Cardiology

HeartMan:

Personal Decision Support System For Heart Failure Management

HF:

Heart failure

HRQoL:

Health-related quality of life

LOCF:

Last Observation Carried Forward

mHealth:

Mobile health

MMSE:

Mini Mental State Examination

NYHA:

New York Heart Association

PRO:

Patient-reported outcome

References

  1. Mosterd A, Hoes AW. Clinical epidemiology of heart failure. Heart. 2007;93(9):1137–46.

    Article  Google Scholar 

  2. Roger VL. Epidemiology of heart failure. Circ Res. 2013;113(6):646–59.

    Article  CAS  Google Scholar 

  3. Ponikowski P, Voors AA, Anker SD, Bueno H, Cleland JG, Coats AJ, et al. 2016 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure: the task force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). Developed with the special contribution of the heart failure association (HFA) of the ESC. Eur J Heart Fail. 2016;18(8):891–975.

    Article  Google Scholar 

  4. McDonagh TA, Blue L, Clark AL, Dahlstrom U, Ekman I, Lainscak M, et al. European Society of Cardiology Heart Failure Association Standards for delivering heart failure care. Eur J Heart Fail. 2011;13(3):235–41.

    Article  Google Scholar 

  5. Piepoli MF, Conraads V, Corra U, Dickstein K, Francis DP, Jaarsma T, et al. Exercise training in heart failure: from theory to practice. A consensus document of the heart failure association and the European Association for Cardiovascular Prevention and Rehabilitation. Eur J Heart Fail. 2011;13(4):347–57.

    Article  Google Scholar 

  6. Bjarnason-Wehrens B, McGee H, Zwisler AD, Piepoli MF, Benzer W, Schmid JP, et al. Cardiac rehabilitation in Europe: results from the European cardiac rehabilitation inventory survey. Eur J Cardiovasc Prev Rehabil. 2010;17(4):410–8.

    Article  Google Scholar 

  7. Black JT, Romano PS, Sadeghi B, Auerbach AD, Ganiats TG, Greenfield S, et al. A remote monitoring and telephone nurse coaching intervention to reduce readmissions among patients with heart failure: study protocol for the better effectiveness after transition - heart failure (BEAT-HF) randomized controlled trial. Trials. 2014;15:124.

    Article  Google Scholar 

  8. Inglis SC, Clark RA, Dierckx R, Prieto-Merino D, Cleland JG. Structured telephone support or non-invasive telemonitoring for patients with heart failure. Cochrane database of systematic reviews (Online). 2015;10:CD007228.

    Google Scholar 

  9. Chaudhry SI, Mattera JA, Curtis JP, Spertus JA, Herrin J, Lin Z, et al. Telemonitoring in patients with heart failure. N Engl J Med. 2010;363(24):2301–9.

    Article  CAS  Google Scholar 

  10. Koehler F, Winkler S, Schieber M, Sechtem U, Stangl K, Bohm M, et al. Impact of remote telemedical management on mortality and hospitalizations in ambulatory patients with chronic heart failure: the telemedical interventional monitoring in heart failure study. Circulation. 2011;123(17):1873–80.

    Article  Google Scholar 

  11. Ong MK, Romano PS, Edgington S, Aronow HU, Auerbach AD, Black JT, et al. Effectiveness of remote patient monitoring after discharge of hospitalized patients with heart failure: the better effectiveness after transition-heart failure (BEAT-HF) randomized clinical trial. JAMA Intern Med. 2016;176(3):310–8.

    Article  Google Scholar 

  12. Zannad F, Stein K, Garcia AA, Anker SD, Armstrong PW, Calvo G, et al. Clinical outcome endpoints in heart failure trials: a European Society of Cardiology Heart Failure Association consensus document. Eur J Heart Fail. 2013;15(10):1082–94.

    Article  Google Scholar 

  13. Mlakar M, Puddu PE, Somrak M, Bonfiglio S, Lustrek M. Mining telemonitored physiological data and patient-reported outcomes of congestive heart failure patients. PLoS One. 2018;13(3):e0190323.

    Article  Google Scholar 

  14. Anker SD, Agewall S, Borggrefe M, Calvert M, Caro JJ, Cowie MR, et al. The importance of patient-reported outcomes: a call for their comprehensive integration in cardiovascular clinical trials. Eur Heart J. 2014;35(30):2001.

    Article  Google Scholar 

  15. Chamberlain AM, Manemann SM, Dunlay SM, Spertus JA, Moser DK, Berardi C, et al. Self-Rated Health Predicts Healthcare Utilization in Heart Failure. Journal of the American Heart Association. 2014;3(3):e000931.

    PubMed  PubMed Central  Google Scholar 

  16. O'Connor CM, Whellan DJ, Wojdyla D, Leifer E, Clare RM, Ellis SJ, et al. Factors related to morbidity and mortality in patients with chronic heart failure with systolic dysfunction the HF-ACTION predictive risk score model. Circulation-Heart Failure. 2012;5(1):63–71.

    Article  Google Scholar 

  17. Becker CB, Wilson C, Williams A, Kelly M, McDaniel L, Elmquist J. Peer-facilitated cognitive dissonance versus healthy weight eating disorders prevention: a randomized comparison. Body image. 2010;7(4):280–8.

    Article  Google Scholar 

  18. Carim-Todd L, Mitchell SH, Oken BS. Mind-body practices: an alternative, drug-free treatment for smoking cessation? A systematic review of the literature. Drug Alcohol Depend. 2013;132(3):399–410.

    Article  Google Scholar 

  19. Sullivan MJ, Wood L, Terry J, Brantley J, Charles A, McGee V, et al. The support, education, and research in chronic heart failure study (SEARCH): a mindfulness-based psychoeducational intervention improves depression and clinical symptoms in patients with chronic heart failure. Am Heart J. 2009;157(1):84–90.

    Article  Google Scholar 

  20. Riegel B, Carlson B, Moser DK, Sebern M, Hicks FD, Roland V. Psychometric testing of the self-care of heart failure index. J Card Fail. 2004;10(4):350–60.

    Article  Google Scholar 

  21. Rector TS, Kubo SH, Cohn JN. Patients' self-assessment of their congestive heart failure. Part 2: content, reliability and validity of a new measure, the Minnesota living with heart failure questionnaire. Heart Failure. 1987:198–209.

  22. Derogatis LR. The psychosocial adjustment to illness scale (PAIS). J Psychosom Res. 1986;30(1):77–91.

    Article  CAS  Google Scholar 

  23. Driel AG, de Hosson MJ, Gamel C. Sexuality of patients with chronic heart failure and their spouses and the need for information regarding sexuality. European journal of cardiovascular nursing : journal of the Working Group on Cardiovascular Nursing of the European Society of Cardiology. 2014;13(3):227–34.

    Article  Google Scholar 

  24. Broadbent E, Petrie KJ, Main J, Weinman J. The Brief Illness Perception Questionnaire (BIPQ). J Psychosom Res. 2006;60:631–7.

    Article  Google Scholar 

  25. ATS statement: guidelines for the six-minute walk test. American journal of respiratory and critical care medicine. 2002;166(1):111–117.

    Google Scholar 

  26. Spielberger CD, Gorsuch RL, Lushene R, Vagg PR, Jacobs GA. Manual for the state-trait anxiety inventory. Palo Alto: Consulting Psychologists Press; 1983.

    Google Scholar 

  27. Beck AT, Steer RA, Brown GK. Manual for the Beck depression inventory-II. San Antonio, Texas: Psychological Corporation; 1996.

    Google Scholar 

  28. Venkatesh V, Morris M, Davis GB, Davis FD. user acceptance of information technology: toward a unified view. MIS Q. 2003;27(3):425–78.

    Article  Google Scholar 

  29. Lu HK, Lin PC. Toward a Modified UTAUT Model for IT Acceptance by Senior Citizens: Using technology life style as an individual difference factor. Adv Mater Res. 2014;905:757–63.

    Article  Google Scholar 

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Funding

HeartMan is funded by the Horizon 2020 Framework Program of the European Union, project number 689660. The funding agency had no influence on the design of the study and collection, analysis and interpretation of the data nor in writing the paper.

Availability of data and materials

Data sharing is not applicable to this article and no datasets were generated or analysed during the current study.

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Contributions

AB, EC, LB, DDS, ML, AV, MB, PEP, MCC, MS, JD, GT and SP have contributed to conception and design of the research. EC, DDS, ML and PEP obtained funding for the work. Draft of the manuscript was written by AB, EC and SP. AB, EC, LB, DDS, ML, AV, MB, PEP, MCC, MS, JD, GT and SP have critically revised the manuscript for important intellectual content and approved the final version.

Corresponding author

Correspondence to Sofie Pardaens.

Ethics declarations

Ethics approval and consent to participate

This study complies with the Declaration of Helsinki and has been approved by the ethical committees of the participating hospitals in both countries, with the University Hospital Ghent (Belgium) and the Lazio 1 of San Camillo-Forlanini Hospital in Rome (Italy) as the central ethical committees. Written informed consent is obtained from all participants prior to enrolment. The HeartMan wristband has been approved by the Federal Agency for Medicine and Health products and by the Ministry of Health in Belgium and Italy respectively. Any modifications to the protocol which may impact on the conduct of the study, potential benefit of the patient or may affect patient safety, including changes of study objectives, study design, patient population, sample sizes, study procedures, or significant administrative aspects will be submitted as an amendment to the ethical committee. The study is registered at ClinicalTrials.gov (NCT03497871).

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Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Baert, A., Clays, E., Bolliger, L. et al. A Personal Decision Support System for Heart Failure Management (HeartMan): study protocol of the HeartMan randomized controlled trial. BMC Cardiovasc Disord 18, 186 (2018). https://doi.org/10.1186/s12872-018-0921-2

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