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Algorithms used in telemonitoring programmes for patients with chronic heart failure: A systematic review
INTRODUCTION: Non-invasive telemonitoring programmes detecting deterioration of heart failure are increasingly used in heart failure care. AIM: The aim of this study was to compare different monitoring algorithms used in non-invasive telemonitoring programmes for patients with chronic heart failure....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6168739/ https://www.ncbi.nlm.nih.gov/pubmed/29954184 http://dx.doi.org/10.1177/1474515118786838 |
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author | Brons, Maaike Koudstaal, Stefan Asselbergs, Folkert W |
author_facet | Brons, Maaike Koudstaal, Stefan Asselbergs, Folkert W |
author_sort | Brons, Maaike |
collection | PubMed |
description | INTRODUCTION: Non-invasive telemonitoring programmes detecting deterioration of heart failure are increasingly used in heart failure care. AIM: The aim of this study was to compare different monitoring algorithms used in non-invasive telemonitoring programmes for patients with chronic heart failure. METHODS: We performed a systematic literature review in MEDLINE (PubMed) and Embase to identify published reports on non-invasive telemonitoring programmes in patients with heart failure aged over 18 years. RESULTS: Out of 99 studies included in the study, 20 (20%) studies described the algorithm used for monitoring worsening heart failure or algorithms used for titration of heart failure medication. Most frequently used biometric measurements were bodyweight (96%), blood pressure (85%) and heart rate (61%). Algorithms to detect worsening heart failure were based on daily changes in bodyweight in 20 (100%) studies and/or blood pressure in 12 (60%) studies. In 12 (60%) studies patients were contacted by telephone in the case of measurements outside thresholds. CONCLUSION: Only one in five studies on telemonitoring in chronic heart failure reported the algorithm that was used to detect worsening heart failure. Standardised description of the telemonitoring algorithm can expedite the identification of key components in telemonitoring algorithms that allow accurate prediction of worsening heart failure. |
format | Online Article Text |
id | pubmed-6168739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-61687392018-10-15 Algorithms used in telemonitoring programmes for patients with chronic heart failure: A systematic review Brons, Maaike Koudstaal, Stefan Asselbergs, Folkert W Eur J Cardiovasc Nurs Review Article INTRODUCTION: Non-invasive telemonitoring programmes detecting deterioration of heart failure are increasingly used in heart failure care. AIM: The aim of this study was to compare different monitoring algorithms used in non-invasive telemonitoring programmes for patients with chronic heart failure. METHODS: We performed a systematic literature review in MEDLINE (PubMed) and Embase to identify published reports on non-invasive telemonitoring programmes in patients with heart failure aged over 18 years. RESULTS: Out of 99 studies included in the study, 20 (20%) studies described the algorithm used for monitoring worsening heart failure or algorithms used for titration of heart failure medication. Most frequently used biometric measurements were bodyweight (96%), blood pressure (85%) and heart rate (61%). Algorithms to detect worsening heart failure were based on daily changes in bodyweight in 20 (100%) studies and/or blood pressure in 12 (60%) studies. In 12 (60%) studies patients were contacted by telephone in the case of measurements outside thresholds. CONCLUSION: Only one in five studies on telemonitoring in chronic heart failure reported the algorithm that was used to detect worsening heart failure. Standardised description of the telemonitoring algorithm can expedite the identification of key components in telemonitoring algorithms that allow accurate prediction of worsening heart failure. SAGE Publications 2018-06-29 2018-10 /pmc/articles/PMC6168739/ /pubmed/29954184 http://dx.doi.org/10.1177/1474515118786838 Text en © The European Society of Cardiology 2018 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Review Article Brons, Maaike Koudstaal, Stefan Asselbergs, Folkert W Algorithms used in telemonitoring programmes for patients with chronic heart failure: A systematic review |
title | Algorithms used in telemonitoring programmes for patients with
chronic heart failure: A systematic review |
title_full | Algorithms used in telemonitoring programmes for patients with
chronic heart failure: A systematic review |
title_fullStr | Algorithms used in telemonitoring programmes for patients with
chronic heart failure: A systematic review |
title_full_unstemmed | Algorithms used in telemonitoring programmes for patients with
chronic heart failure: A systematic review |
title_short | Algorithms used in telemonitoring programmes for patients with
chronic heart failure: A systematic review |
title_sort | algorithms used in telemonitoring programmes for patients with
chronic heart failure: a systematic review |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6168739/ https://www.ncbi.nlm.nih.gov/pubmed/29954184 http://dx.doi.org/10.1177/1474515118786838 |
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