Heart FailureRELEASE-HFNCT05654961
REsponsible roLl-out of E-heAlth Through Systematic Evaluation - Heart Failure Study
An observational study of Heart Failure, run by UMC Utrecht at 34 sites in Netherlands.
Trial summary
Telemedicine is gradually becoming accepted in heart failure (HF) management. Meta-analyses show a positive effect of telemedicine on hospital admission, length of stay, mortality, and costs. Read more about this study
- Who is it for?
- Any age
- Conditions the study is for
- Heart Failure
- What is being tested?
- Use of telemedicine
- How many people
- 6,480 participants
- Where
- 34 sitesNetherlands
- Study dates
- 1 Jan 2022to 31 Dec 2024
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Study population: Patients diagnosed with heart failure and who are treated at an outpatient clinic in the Netherlands, with or without telemedicine use.
Who may be able to join
- All heart failure patients newly admitted to a hospital outpatient clinic for HF
- All phenotypes of heart failure that meet the ESC 2021 guideline
- Patient who has been diagnosed with heart failure in a setting other than the one where the patient currently presents (primary, secondary or tertiary care)
Who cannot join
None listed.
Trial locations and contacts
34 sites in 1 country.
34 sites in 1 country
Netherlands34 sites, 34 recruiting
- Not yet recruiting
Jeroen Bosch Ziekenhuis
's-Hertogenbosch
- Recruiting
Noordwest Ziekenhuisgroep
Alkmaar
- Not yet recruiting
Meander Medisch Centrum
Amersfoort
- Recruiting
OLVG
Amsterdam
- Not yet recruiting
Gelre Ziekenhuizen Apeldoorn
Apeldoorn
- Not yet recruiting
Wilhelmina Ziekenhuis Assen
Assen
- Recruiting
Maasziekenhuis Pantein
Boxmeer
- Recruiting
Amphia Ziekenhuis
Breda
- Not yet recruiting
Reinier de Graaf Gasthuis
Delft
- Recruiting
Deventer Ziekenhuis
Deventer
- Not yet recruiting
Slingeland Ziekenhuis
Doetinchem
- Not yet recruiting
Ziekenhuis Gelderse Vallei
Ede
- Recruiting
Catharina Ziekenhuis
Eindhoven
- Recruiting
Máxima MC
Eindhoven
- Recruiting
Treant Zorggroep
Emmen
- Not yet recruiting
Medisch Spectrum Twente
Enschede
- Recruiting
Anna Ziekenhuis
Geldrop
- Not yet recruiting
Groene Hart Ziekenhuis
Gouda
- Recruiting
Universitair Medisch Centrum Groningen
Groningen
- Recruiting
Elkerliek Ziekenhuis
Helmond
- Not yet recruiting
Ziekenhuisgroep Twente
Hengelo
- Recruiting
Alrijne
Leiden
- Recruiting
Maastricht UMC+
Maastricht
- Not yet recruiting
St. Antonius Ziekenhuis
Nieuwegein
- Recruiting
Radoudumc
Nijmegen
- Recruiting
Erasmus MC
Rotterdam
- Not yet recruiting
Zuyderland Medisch Centrum
Sittard
- Not yet recruiting
Haaglanden Medisch Centrum
The Hague
- Recruiting
HagaZiekenhuis
The Hague
- Recruiting
Elisabeth-TweeSteden Ziekenhuis
Tilburg
- Not yet recruiting
Bernhoven
Uden
- Not yet recruiting
Diakonessenhuis
Utrecht
- Recruiting
UMC Utrecht
Utrecht
Jorna van Eijk, MSc
- Not yet recruiting
VieCuri Medisch Centrum
Venlo
About this study
Telemedicine is gradually becoming accepted in heart failure (HF) management. Meta-analyses show a positive effect of telemedicine on hospital admission, length of stay, mortality, and costs. However, the magnitude of the effect is heterogeneous because of the variety in the HF population using telemedicine, components of telemedicine, and variety in considered costs. Despite the lack of clear guidance how to implement telemedicine within routine HF management, implementation of telemedicine is advocated by payers, private companies, and patient organizations.
In this nationwide study the investigators aim to identify in which subgroup of HF patients telemedicine is (cost-)effective, and which intervention components of telemedicine are most (cost-)effective.
Read the detailed description
The objectives of the study are to examine:
- which HF patient characteristics are related to an increase in number of days spent outside the hospital within one year of follow-up, when telemedicine is part of regular HF care compared to regular HF care alone?
- which HF patient characteristics are related to cost-effectiveness when telemedicine is part of regular care compared to regular HF care alone?
- which components of telemedicine as part of regular HF care lead to an increase in number of days spent outside the hospital within one year of follow-up?
- which components of telemedicine as part of regular HF care are cost-effective?
The main focus of this study is on patient-related subgroup analyses with telemedicine. The patient-related subgroups are identified by a systematic literature review of randomized-controlled trials of telemedicine: (1) age, (2) severity of HF (NYHA class at baseline), (3) sex (female compared to male), (4) socio-economic status (SES) (HF patients with higher SES compared to lower SES), (5) presence of depression, (6) Type of heart failure (LVEF: HFrEF, HFmrEF, HFpEF), (7) presence of atrial fibrillation (AF). In an additional analysis, (8) heterogeneity across time of diagnosis will be explored (recently diagnosed compared to not recently diagnosed).
To answer the four research questions a RELEASE-HF database will be set up. The RELEASE-HF database will be composed from various data sources:
- National Heart Failure Registry (abbreviated as Registry; a patient registry),
- Interviews with clinicians about telemedicine features on hospital level,
- Interviews with finance department staff about costs in HF care (including telemedicine use),
- Electronic Health Record (EHR) data about telemedicine (including supplier system data)
- External national registries and/or databases as Statistics Netherlands (CBS), declaration data (Vektis), Dutch Hospital Data (DHD) or PHARMO.
- Conditions
- Heart Failure
- Being tested
- Use of telemedicine
- Keywords
- Telemedicine, Observational study, Registry, Multicenter
- Medical subject headings
- Heart Failure
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Use of telemedicineOther
Use of telemedicine (any type: telephone only, non-invasive, implantable-cardioverter-defibrillator-based, invasive) in heart failure management
| Study group | Role | What they receive |
|---|---|---|
| Heart failure patients | According to the eligibility criteria specified below. Receives: Other: Use of telemedicine |
What is being measured
The primary outcome is the main question the study is designed to answer.
Number of days spent outside the hospital within one year of follow-up
The number of days will be derived from the number of hospital days and mortality status between follow-up moments.
Measured: 12 months
Secondary outcomes (6)
All-cause mortality
Mortality status, determined after verification at the Personal Records Database (in Dutch: Basisregistratie Personen).
Measured: 12 months
Change from baseline in functional status at 12 months
New York Heart Association classification class (NYHA): a functional classification of patients, based on severity of symptoms and physical activity, with specific attention to fatigue, palpitation, and dyspnea. NYHA exist of four classifacation. A higher class means a patient has more physcial problems caused by heart failure.
Class I: No limitation of physical activity. Ordinary physical activity does not cause undue fatigue, palpitation, dyspnea (shortness of breath).
Class II: Slight limitation of physical activity. Comfortable at rest. Ordinary physical activity results in fatigue, palpitation, dyspnea (shortness of breath).
Class III: Marked limitation of physical activity. Comfortable at rest. Less than ordinary activity causes fatigue, palpitation, or dyspnea.
Class IV: Unable to carry on any physical activity without discomfort. Symptoms of heart failure at rest. If any physical activity is undertaken, discomfort increases.
Measured: Baseline, 12 months
Change from baseline in health status at 12 months
SF-36 or SF-12 questionnaire (subset of SF-36): a validated patient-reported survey of patient health. Both questionnaires consist of eight sections with scores: vitality, physical functioning, bodily pain, general health perceptions, physical role functioning, emotional role functioning, social role functioning, and mental health. Each score is transformed into a 0-100 scale on the assumption that each question carries equal weight. The lower the score the lower the health status.
Measured: Baseline, 12 months
Change from baseline in QoL (Quality of Life) at 12 months
SF-36 or SF-12 questionnaire. Quality Adjusted Life Years (QALY) will be calculated based on the SF-6D: a model in which directly a single, preference-based score can be calculated for the SF-36 and SF-12. Scores range from 0.0 (worst health state) to 1.0 (best health state).
Measured: Baseline, 12 months
Outpatient visits
Number of outpatient visits (planned/unplanned).
Measured: 12 months
Costs
Costs estimated from patient, disease, and treatment characteristics. Information taken into account includes medication use, whether the patient underwent cardiac interventions (e.g., pacemaker implantation, percutaneous coronary intervention), use of telemedicine, hospital admission days, visits to the outpatient clinic, visits to the emergency room, admission days at an intensive care unit, visits at the GP related to HF
Measured: 12 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted16 Dec 2022
- Study start1 Jan 2022
- Primary completion31 Dec 2024 (estimated)
- Study completion31 Dec 2024 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Heart FailureStudies of the same condition, open and under way.
- More trials run by UMC UtrechtThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 6,480 participants (estimated)
Sponsor and investigators
- Lead sponsor
- UMC Utrecht
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Prof. Dr. F.W. Asselbergs, UMC Utrecht
- Investigators
- Folkert W. Asselbergs, MD, PhD, Principal investigator, UMC Utrecht
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05654961
- Sponsor's protocol ID
- 21-634/C
- Acronym
- RELEASE-HF
- Status last verified
- Dec 2022
- First submitted
- 1 Dec 2022
- Last updated
- 16 Dec 2022
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
van Eijk J, Luijken K, Jaarsma T, Reitsma JB, Schuit E, Frederix GWJ, Derks L, Schaap J, Rutten FH, Brugts J, de Boer RA, Asselbergs FW, Trappenburg JCA; RELEASE-HF Investigators. RELEASE-HF study: a protocol for an observational, registry-based study on the effectiveness of telemedicine in heart failure in the Netherlands. BMJ Open. 2024 Jan 4;14(1):e078021. doi: 10.1136/bmjopen-2023-078021.
PubMed 38176879
Study at a glance
From the registry record, last updated by the sponsor on 16 Dec 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- REsponsible roLl-out of E-heAlth Through Systematic Evaluation - Heart Failure Study
- ClinicalTrials.gov ID
- NCT05654961
- Acronym / sponsor ID
- RELEASE-HF / 21-634/C
- Conditions
- Heart Failure
- Keywords
- Telemedicine, Observational study, Registry, Multicenter
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 6,480 participants (estimated)
- Lead sponsor
- UMC UtrechtUniversity, hospital or other
- Study start
- 1 Jan 2022 (actual)
- Primary completion
- 31 Dec 2024 (estimated)
- Study completion
- 31 Dec 2024 (estimated)
- First posted
- 16 Dec 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Telemedicine is gradually becoming accepted in heart failure (HF) management. Meta-analyses show a positive effect of telemedicine on hospital admission, length of stay, mortality, and costs. However, the magnitude of the effect is heterogeneous because of the variety in the HF population using telemedicine, components of telemedicine, and variety in considered costs. Despite the lack of clear guidance how to implement telemedicine within routine HF management, implementation of telemedicine is advocated by payers, private companies, and patient organizations.
In this nationwide study the investigators aim to identify in which subgroup of HF patients telemedicine is (cost-)effective, and which intervention components of telemedicine are most (cost-)effective.
Detailed description
The objectives of the study are to examine:
- which HF patient characteristics are related to an increase in number of days spent outside the hospital within one year of follow-up, when telemedicine is part of regular HF care compared to regular HF care alone?
- which HF patient characteristics are related to cost-effectiveness when telemedicine is part of regular care compared to regular HF care alone?
- which components of telemedicine as part of regular HF care lead to an increase in number of days spent outside the hospital within one year of follow-up?
- which components of telemedicine as part of regular HF care are cost-effective?
The main focus of this study is on patient-related subgroup analyses with telemedicine. The patient-related subgroups are identified by a systematic literature review of randomized-controlled trials of telemedicine: (1) age, (2) severity of HF (NYHA class at baseline), (3) sex (female compared to male), (4) socio-economic status (SES) (HF patients with higher SES compared to lower SES), (5) presence of depression, (6) Type of heart failure (LVEF: HFrEF, HFmrEF, HFpEF), (7) presence of atrial fibrillation (AF). In an additional analysis, (8) heterogeneity across time of diagnosis will be explored (recently diagnosed compared to not recently diagnosed).
To answer the four research questions a RELEASE-HF database will be set up. The RELEASE-HF database will be composed from various data sources:
- National Heart Failure Registry (abbreviated as Registry; a patient registry),
- Interviews with clinicians about telemedicine features on hospital level,
- Interviews with finance department staff about costs in HF care (including telemedicine use),
- Electronic Health Record (EHR) data about telemedicine (including supplier system data)
- External national registries and/or databases as Statistics Netherlands (CBS), declaration data (Vektis), Dutch Hospital Data (DHD) or PHARMO.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Heart failure patients | – | Other: Use of telemedicineAccording to the eligibility criteria specified below. |
Who may qualify
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
- Study population
- Patients diagnosed with heart failure and who are treated at an outpatient clinic in the Netherlands, with or without telemedicine use.
Key inclusion criteria (3 listed)
- All heart failure patients newly admitted to a hospital outpatient clinic for HF
- All phenotypes of heart failure that meet the ESC 2021 guideline
- Patient who has been diagnosed with heart failure in a setting other than the one where the patient currently presents (primary, secondary or tertiary care)
Key exclusion criteria (0 listed)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Use of telemedicineUse of telemedicine (any type: telephone only, non-invasive, implantable-cardioverter-defibrillator-based, invasive) in heart failure management | Other | Heart failure patients |
Primary outcome
Number of days spent outside the hospital within one year of follow-up
Time frame: 12 months
The number of days will be derived from the number of hospital days and mortality status between follow-up moments.
6 secondary outcomes
All-cause mortality
Time frame: 12 months
Change from baseline in functional status at 12 months
Time frame: Baseline, 12 months
Change from baseline in health status at 12 months
Time frame: Baseline, 12 months
Change from baseline in QoL (Quality of Life) at 12 months
Time frame: Baseline, 12 months
Outpatient visits
Time frame: 12 months
Costs
Time frame: 12 months
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 16 Dec 2022.
- Derived from this study: PubMed 38176879van Eijk J, Luijken K, Jaarsma T, Reitsma JB, Schuit E, Frederix GWJ, Derks L, Schaap J, Rutten FH, Brugts J, de Boer RA, Asselbergs FW, Trappenburg JCA; RELEASE-HF Investigators. RELEASE-HF study: a protocol for an observational, registry-based study on the effectiveness of telemedicine in heart failure in the Netherlands. BMJ Open. 2024 Jan 4;14(1):e078021. doi: 10.1136/bmjopen-2023-078021.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Folkert W. Asselbergs, MD, PhD principal investigator
UMC Utrecht
34 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Heart Failure, run by UMC Utrecht at 34 sites in Netherlands.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 0 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 16 Dec 2022. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 34 sites in Netherlands. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Jorna van Eijk, MSc (+31634609890, j.vaneijk-4@umcutrecht.nl), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Number of days spent outside the hospital within one year of follow-up (time frame: 12 months). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05654961, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 16 Dec 2022.