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Clinical Trials/NCT05654961
NCT05654961
Recruiting
Not Applicable

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

UMC Utrecht34 sites in 1 country6,480 target enrollmentJanuary 1, 2022
ConditionsHeart Failure

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Heart Failure
Sponsor
UMC Utrecht
Enrollment
6480
Locations
34
Primary Endpoint
Number of days spent outside the hospital within one year of follow-up
Status
Recruiting
Last Updated
3 years ago

Overview

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.

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.

Registry
clinicaltrials.gov
Start Date
January 1, 2022
End Date
December 31, 2024
Last Updated
3 years ago
Study Type
Observational
Sex
All

Investigators

Responsible Party
Principal Investigator
Principal Investigator

Prof. Dr. F.W. Asselbergs

MD, PhD

UMC Utrecht

Eligibility Criteria

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)

Exclusion Criteria

  • Not provided

Outcomes

Primary Outcomes

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.

Secondary Outcomes

  • All-cause mortality(12 months)
  • Change from baseline in functional status at 12 months(Baseline, 12 months)
  • Change from baseline in health status at 12 months(Baseline, 12 months)
  • Change from baseline in QoL (Quality of Life) at 12 months(Baseline, 12 months)
  • Outpatient visits(12 months)
  • Costs(12 months)

Study Sites (34)

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