RELEASE-HF: REsponsible roLl-out of E-heAlth Through Systematic Evaluation - Heart Failure Study

Sponsor
UMC Utrecht (Other)
Overall Status
Recruiting
CT.gov ID
NCT05654961
Collaborator
(none)
6,480
34
36
190.6
5.3

Study Details

Study Description

Brief 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. 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.

Condition or Disease Intervention/Treatment Phase
  • Other: Use of telemedicine

Detailed Description

The objectives of the study are to examine:
  1. 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?

  2. which HF patient characteristics are related to cost-effectiveness when telemedicine is part of regular care compared to regular HF care alone?

  3. 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?

  4. 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:

  1. National Heart Failure Registry (abbreviated as Registry; a patient registry),

  2. Interviews with clinicians about telemedicine features on hospital level,

  3. Interviews with finance department staff about costs in HF care (including telemedicine use),

  4. Electronic Health Record (EHR) data about telemedicine (including supplier system data)

  5. External national registries and/or databases as Statistics Netherlands (CBS), declaration data (Vektis), Dutch Hospital Data (DHD) or PHARMO.

Study Design

Study Type:
Observational
Anticipated Enrollment :
6480 participants
Observational Model:
Cohort
Time Perspective:
Prospective
Official Title:
REsponsible roLl-out of E-heAlth Through Systematic Evaluation - Heart Failure Study
Actual Study Start Date :
Jan 1, 2022
Anticipated Primary Completion Date :
Dec 31, 2024
Anticipated Study Completion Date :
Dec 31, 2024

Arms and Interventions

Arm Intervention/Treatment
Heart failure patients

According to the eligibility criteria specified below.

Other: Use of telemedicine
Use of telemedicine (any type: telephone only, non-invasive, implantable-cardioverter-defibrillator-based, invasive) in heart failure management

Outcome Measures

Primary Outcome Measures

  1. Number of days spent outside the hospital within one year of follow-up [12 months]

    The number of days will be derived from the number of hospital days and mortality status between follow-up moments.

Secondary Outcome Measures

  1. All-cause mortality [12 months]

    Mortality status, determined after verification at the Personal Records Database (in Dutch: Basisregistratie Personen).

  2. Change from baseline in functional status at 12 months [Baseline, 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.

  3. Change from baseline in health status at 12 months [Baseline, 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.

  4. Change from baseline in QoL (Quality of Life) at 12 months [Baseline, 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).

  5. Outpatient visits [12 months]

    Number of outpatient visits (planned/unplanned).

  6. Costs [12 months]

    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

Eligibility Criteria

Criteria

Ages Eligible for Study:
N/A and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • 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)

Contacts and Locations

Locations

Site City State Country Postal Code
1 Noordwest Ziekenhuisgroep Alkmaar Netherlands
2 Meander Medisch Centrum Amersfoort Netherlands
3 OLVG Amsterdam Netherlands
4 Gelre Ziekenhuizen Apeldoorn Apeldoorn Netherlands
5 Wilhelmina Ziekenhuis Assen Assen Netherlands
6 Maasziekenhuis Pantein Boxmeer Netherlands
7 Amphia Ziekenhuis Breda Netherlands
8 Reinier de Graaf Gasthuis Delft Netherlands
9 Jeroen Bosch Ziekenhuis Den Bosch Netherlands
10 Haaglanden Medisch Centrum Den Haag Netherlands
11 HagaZiekenhuis Den Haag Netherlands
12 Deventer Ziekenhuis Deventer Netherlands
13 Slingeland Ziekenhuis Doetinchem Netherlands
14 Ziekenhuis Gelderse Vallei Ede Netherlands
15 Catharina Ziekenhuis Eindhoven Netherlands
16 Máxima MC Eindhoven Netherlands
17 Treant Zorggroep Emmen Netherlands
18 Medisch Spectrum Twente Enschede Netherlands
19 Anna Ziekenhuis Geldrop Netherlands
20 Groene Hart Ziekenhuis Gouda Netherlands
21 Universitair Medisch Centrum Groningen Groningen Netherlands
22 Elkerliek Ziekenhuis Helmond Netherlands
23 Ziekenhuisgroep Twente Hengelo Netherlands
24 Alrijne Leiden Netherlands
25 Maastricht UMC+ Maastricht Netherlands
26 St. Antonius Ziekenhuis Nieuwegein Netherlands
27 Radoudumc Nijmegen Netherlands
28 Erasmus MC Rotterdam Netherlands
29 Zuyderland Medisch Centrum Sittard Netherlands
30 Elisabeth-TweeSteden Ziekenhuis Tilburg Netherlands
31 Bernhoven Uden Netherlands
32 Diakonessenhuis Utrecht Netherlands
33 UMC Utrecht Utrecht Netherlands
34 VieCuri Medisch Centrum Venlo Netherlands

Sponsors and Collaborators

  • UMC Utrecht

Investigators

  • Principal Investigator: Folkert W. Asselbergs, MD, PhD, UMC Utrecht

Study Documents (Full-Text)

None provided.

More Information

Additional Information:

Publications

None provided.
Responsible Party:
Prof. Dr. F.W. Asselbergs, MD, PhD, UMC Utrecht
ClinicalTrials.gov Identifier:
NCT05654961
Other Study ID Numbers:
  • 21-634/C
First Posted:
Dec 16, 2022
Last Update Posted:
Dec 16, 2022
Last Verified:
Dec 1, 2022
Individual Participant Data (IPD) Sharing Statement:
Undecided
Plan to Share IPD:
Undecided
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Prof. Dr. F.W. Asselbergs, MD, PhD, UMC Utrecht
Additional relevant MeSH terms:

Study Results

No Results Posted as of Dec 16, 2022