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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT05654961
Other study ID # 21-634/C
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date January 1, 2022
Est. completion date December 31, 2024

Study information

Verified date December 2022
Source UMC Utrecht
Contact Jorna van Eijk, MSc
Phone +31634609890
Email j.vaneijk-4@umcutrecht.nl
Is FDA regulated No
Health authority
Study type Observational

Clinical 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. 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.


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.


Recruitment information / eligibility

Status Recruiting
Enrollment 6480
Est. completion date December 31, 2024
Est. primary completion date December 31, 2024
Accepts healthy volunteers No
Gender All
Age group N/A and older
Eligibility 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)

Study Design


Related Conditions & MeSH terms


Intervention

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

Locations

Country Name City State
Netherlands Noordwest Ziekenhuisgroep Alkmaar
Netherlands Meander Medisch Centrum Amersfoort
Netherlands OLVG Amsterdam
Netherlands Gelre Ziekenhuizen Apeldoorn Apeldoorn
Netherlands Wilhelmina Ziekenhuis Assen Assen
Netherlands Maasziekenhuis Pantein Boxmeer
Netherlands Amphia Ziekenhuis Breda
Netherlands Reinier de Graaf Gasthuis Delft
Netherlands Jeroen Bosch Ziekenhuis Den Bosch
Netherlands Haaglanden Medisch Centrum Den Haag
Netherlands HagaZiekenhuis Den Haag
Netherlands Deventer Ziekenhuis Deventer
Netherlands Slingeland Ziekenhuis Doetinchem
Netherlands Ziekenhuis Gelderse Vallei Ede
Netherlands Catharina Ziekenhuis Eindhoven
Netherlands Máxima MC Eindhoven
Netherlands Treant Zorggroep Emmen
Netherlands Medisch Spectrum Twente Enschede
Netherlands Anna Ziekenhuis Geldrop
Netherlands Groene Hart Ziekenhuis Gouda
Netherlands Universitair Medisch Centrum Groningen Groningen
Netherlands Elkerliek Ziekenhuis Helmond
Netherlands Ziekenhuisgroep Twente Hengelo
Netherlands Alrijne Leiden
Netherlands Maastricht UMC+ Maastricht
Netherlands St. Antonius Ziekenhuis Nieuwegein
Netherlands Radoudumc Nijmegen
Netherlands Erasmus MC Rotterdam
Netherlands Zuyderland Medisch Centrum Sittard
Netherlands Elisabeth-TweeSteden Ziekenhuis Tilburg
Netherlands Bernhoven Uden
Netherlands Diakonessenhuis Utrecht
Netherlands UMC Utrecht Utrecht
Netherlands VieCuri Medisch Centrum Venlo

Sponsors (1)

Lead Sponsor Collaborator
UMC Utrecht

Country where clinical trial is conducted

Netherlands, 

Outcome

Type Measure Description Time frame Safety issue
Primary 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. 12 months
Secondary All-cause mortality Mortality status, determined after verification at the Personal Records Database (in Dutch: Basisregistratie Personen). 12 months
Secondary 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.
Baseline, 12 months
Secondary 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. Baseline, 12 months
Secondary 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). Baseline, 12 months
Secondary Outpatient visits Number of outpatient visits (planned/unplanned). 12 months
Secondary 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 12 months
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