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Remote Patient Monitoring Technologies for Predicting Chronic Obstructive Pulmonary Disease Exacerbations: Review and Comparison

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the third leading cause of death by disease worldwide and has a 30-day readmission rate of 22.6%. In 2015, COPD was added to the Medicare Hospital Readmission Reductions Program. OBJECTIVE: The objective of this paper was to survey the curr...

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Autores principales: Fan, Kathleen G, Mandel, Jess, Agnihotri, Parag, Tai-Seale, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7273236/
https://www.ncbi.nlm.nih.gov/pubmed/32348262
http://dx.doi.org/10.2196/16147
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author Fan, Kathleen G
Mandel, Jess
Agnihotri, Parag
Tai-Seale, Ming
author_facet Fan, Kathleen G
Mandel, Jess
Agnihotri, Parag
Tai-Seale, Ming
author_sort Fan, Kathleen G
collection PubMed
description BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the third leading cause of death by disease worldwide and has a 30-day readmission rate of 22.6%. In 2015, COPD was added to the Medicare Hospital Readmission Reductions Program. OBJECTIVE: The objective of this paper was to survey the current medical technologies for remote patient monitoring (RPM) tools that forecast COPD exacerbations in order to reduce COPD readmissions. METHODS: We searched literature and digital health news to find commercially available RPM devices focused on predicting COPD exacerbations. These technologies were reviewed and compared according to four criteria: forecasting ability, cost, ease of use, and appearance. A rating system was developed to facilitate the evaluation process. RESULTS: As of June 2019, a list of handheld and hands-free devices was compiled. We compared features and found substantial variations. Devices that ranked higher on all criteria tended to have a high or unlisted price. Commonly mass-marketed devices like the pulse oximeter and spirometer surprisingly fulfilled the least criteria. CONCLUSIONS: The COPD RPM technologies with most technological promise and compatibility with daily living appear to have high or unlisted prices. Consumers and providers need better access to product information to make informed decisions.
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spelling pubmed-72732362020-06-05 Remote Patient Monitoring Technologies for Predicting Chronic Obstructive Pulmonary Disease Exacerbations: Review and Comparison Fan, Kathleen G Mandel, Jess Agnihotri, Parag Tai-Seale, Ming JMIR Mhealth Uhealth Original Paper BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the third leading cause of death by disease worldwide and has a 30-day readmission rate of 22.6%. In 2015, COPD was added to the Medicare Hospital Readmission Reductions Program. OBJECTIVE: The objective of this paper was to survey the current medical technologies for remote patient monitoring (RPM) tools that forecast COPD exacerbations in order to reduce COPD readmissions. METHODS: We searched literature and digital health news to find commercially available RPM devices focused on predicting COPD exacerbations. These technologies were reviewed and compared according to four criteria: forecasting ability, cost, ease of use, and appearance. A rating system was developed to facilitate the evaluation process. RESULTS: As of June 2019, a list of handheld and hands-free devices was compiled. We compared features and found substantial variations. Devices that ranked higher on all criteria tended to have a high or unlisted price. Commonly mass-marketed devices like the pulse oximeter and spirometer surprisingly fulfilled the least criteria. CONCLUSIONS: The COPD RPM technologies with most technological promise and compatibility with daily living appear to have high or unlisted prices. Consumers and providers need better access to product information to make informed decisions. JMIR Publications 2020-05-21 /pmc/articles/PMC7273236/ /pubmed/32348262 http://dx.doi.org/10.2196/16147 Text en ©Kathleen G Fan, Jess Mandel, Parag Agnihotri, Ming Tai-Seale. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 21.05.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Fan, Kathleen G
Mandel, Jess
Agnihotri, Parag
Tai-Seale, Ming
Remote Patient Monitoring Technologies for Predicting Chronic Obstructive Pulmonary Disease Exacerbations: Review and Comparison
title Remote Patient Monitoring Technologies for Predicting Chronic Obstructive Pulmonary Disease Exacerbations: Review and Comparison
title_full Remote Patient Monitoring Technologies for Predicting Chronic Obstructive Pulmonary Disease Exacerbations: Review and Comparison
title_fullStr Remote Patient Monitoring Technologies for Predicting Chronic Obstructive Pulmonary Disease Exacerbations: Review and Comparison
title_full_unstemmed Remote Patient Monitoring Technologies for Predicting Chronic Obstructive Pulmonary Disease Exacerbations: Review and Comparison
title_short Remote Patient Monitoring Technologies for Predicting Chronic Obstructive Pulmonary Disease Exacerbations: Review and Comparison
title_sort remote patient monitoring technologies for predicting chronic obstructive pulmonary disease exacerbations: review and comparison
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7273236/
https://www.ncbi.nlm.nih.gov/pubmed/32348262
http://dx.doi.org/10.2196/16147
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