2022
DOI: 10.1002/ehf2.13978
|View full text |Cite
|
Sign up to set email alerts
|

Impact of patient engagement in a French telemonitoring programme for heart failure on hospitalization and mortality

Abstract: Aims Management of patients with recently decompensated heart failure by hospital services is expensive, complicated to plan, and not always effective. Telemedicine programmes in heart failure may improve the quality of care, but their effectiveness is poorly documented in real‐world settings. The study aims to evaluate the impact of patient engagement in home‐based telemonitoring for heart failure (SCAD programme) on rehospitalization and mortality rates. Methods and results A retrospective observational stud… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

2
18
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 13 publications
(20 citation statements)
references
References 22 publications
2
18
0
Order By: Relevance
“…In addition, a secure chat tool is available for the patient throughout the duration of the programme which provides them with a direct contact with the care team and access to an information bank about heart failure. A full description of the organisation of the SCAD programme has recently been published [ 19 ].…”
Section: Methodsmentioning
confidence: 99%
See 4 more Smart Citations
“…In addition, a secure chat tool is available for the patient throughout the duration of the programme which provides them with a direct contact with the care team and access to an information bank about heart failure. A full description of the organisation of the SCAD programme has recently been published [ 19 ].…”
Section: Methodsmentioning
confidence: 99%
“…Patients entered the model in one of three ‘not hospitalised’ health states, depending on the number of previous hospitalisations for HF, namely no previous hospitalisation for HF in the previous year, a single previous hospitalisation for HF, or multiple previous hospitalisations. The distribution of patients across these three health states was determined from the number of hospitalisations documented in the SNDS with HF as a primary diagnosis (identifying the reason for hospitalisation) in a population of patients with chronic HF enrolled into the SCAD telemonitoring programme in France between 2009 and 2016 [ 19 ]. Hospitalisations for HF were identified using the diagnostic algorithm developed by Tuppin et al [ 23 ].…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations