Observational studyInternational journal of chronic obstructive pulmonary disease2017
Home monitoring of breathing rate in people with chronic obstructive pulmonary disease: observational study of feasibility, acceptability, and change after exacerbation.
Observational study in International journal of chronic obstructive pulmonary disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.
- Wearable Health Devices in Health Care: Narrative Systematic Review.JMIR mHealth and uHealth · 2020Pooled it
- Next-generation digital twin model with unobtrusive RF multi-sensing for AI-based human monitoring.Scientific reports · 2026Article
- A scoping review of statistical methods for the analysis of method comparison studies with repeated measurements of clinical data.BMC medical research methodology · 2026Article
- At-home validation of a non-contact, radar-based breathing monitor for long-term care of patients with respiratory diseases: A proof-of-concept study.Pneumologie (Stuttgart, Germany) · 2025Article
- Wearables research for continuous monitoring of patient outcomes: A scoping review.PLOS digital health · 2025Article
- Contactless Sleep Monitoring for the Detection of Exacerbations in People With Chronic Obstructive Pulmonary Disease: Protocol for a Longitudinal Observational Study.JMIR research protocols · 2025Article
- Design and Evaluation of Volunteer User Trials of Unobtrusive Vital Signs Monitoring for Older People in Care Using Wi-Fi CSI Sensing.IEEE journal of translational engineering in health and medicine · 2025Article
- Digital health technologies for improving the management of people with chronic obstructive pulmonary disease.Frontiers in digital health · 2025Review
- Evaluation of a Telemonitoring System Using Electronic National Early Warning Scores for Patients Receiving Medical Home Care: Pilot Implementation Study.JMIR medical informatics · 2024Article
- Application of the Rome severity classification of COPD exacerbations in a real-world cohort of hospitalised patients.ERJ open research · 2023Article
- Remote patient monitoring strategies and wearable technology in chronic obstructive pulmonary disease.Frontiers in medicine · 2023Review
- Performance of Contactless Respiratory Rate Monitoring by Albus HomeSensors (Basel, Switzerland) · 2022Article
- Telemedicine and virtual respiratory care in the era of COVID-19.ERJ open research · 2022Review
- A proof of concept for continuous, non-invasive, free-living vital signs monitoring to predict readmission following an acute exacerbation of COPD: a prospective cohort study.Respiratory research · 2022Article
- Usability of Wearable Multiparameter Technology to Continuously Monitor Free-Living Vital Signs in People Living With Chronic Obstructive Pulmonary Disease: Prospective Observational Study.JMIR human factors · 2022Article
- Continuous Monitoring of Vital Signs With Wearable Sensors During Daily Life Activities: Validation Study.JMIR formative research · 2022Article
- Evaluation of respiratory rate monitoring performance using a home oxygen monitoring device among patients with interstitial lung disease and chronic obstructive pulmonary disease.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2022Article
- [Quantitative analysis of breathing patterns based on wearable systems].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021Article
- The Use of Telemonitoring in Managing the COVID-19 Pandemic: Pilot Implementation Study.JMIR formative research · 2021Article
- Clinical Evaluation of Respiratory Rate Measurements on COPD (Male) Patients Using Wearable Inkjet-Printed Sensor.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
Abstract
Telehealth programs to promote early identification and timely self-management of acute exacerbations of chronic obstructive pulmonary diseases (AECOPDs) have yielded disappointing results, in part, because parameters monitored (symptoms, pulse oximetry, and spirometry) are weak predictors of exacerbations. PURPOSE: Breathing rate (BR) rises during AECOPD and may be a promising predictor. Devices suitable for home use to measure BR have recently become available, but their accuracy, acceptability, and ability to detect changes in people with COPD is not known. PATIENTS AND
methodsWe compared five BR monitors, which used different monitoring technologies, with a gold standard (Oxycon Mobile
resultsWhile two monitors demonstrated acceptable accuracy compared with the gold standard, some participants found them intrusive particularly when ill with an exacerbation, limiting their potential utility in acute situations. A reduction in resting BR during the recovery from an AECOPD was observed in some, but not in all participants and there was considerable day-to-day individual variation.
conclusionResting BR shows some promise in identifying exacerbations; however, further prospective study to assess this is required.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.