ArticleERJ open research2019
Using wearables and self-management apps in patients with COPD: a qualitative study.
Article in ERJ open research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses 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
26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 56 citations in OpenAlex.
- Evaluation of the effectiveness of digital health interventions in the postoperative management of lung transplant recipients.Journal of cardiothoracic surgery · 2026Pooled it
- COPD-Related Anxiety: A Systematic Review of Patient Perspectives.International journal of chronic obstructive pulmonary disease · 2023Pooled it
- The Influence of Wearables on Health Care Outcomes in Chronic Disease: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Empowering outpatients with breast cancer: The impact of a Continuous Care Program on self-efficacy-a randomized clinical trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Trial
- Virtual pulmonary rehabilitation approaches in patients with post COVID syndrome: a pilot study.BMC pulmonary medicine · 2024Trial
- Telemedicine in chronic lung disease management: progress and prospects.The Korean journal of internal medicine · 2026Review
- Co-Creating a Digital Resource to Support Smartwatch Use in COPD Self-Management: An Inclusive and Pragmatic Participatory Approach.Healthcare (Basel, Switzerland) · 2025Article
- Effect of Self-Quantification on Caregiver Burden and Depression Among Family Caregivers: A SWING-Japan Study.Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society · 2025Article
- Digital health technologies for improving the management of people with chronic obstructive pulmonary disease.Frontiers in digital health · 2025Review
- User Perceptions of Wearability of Knitted Sensor Garments for Long-Term Monitoring of Breathing Health: Thematic Analysis of Focus Groups and a Questionnaire Survey.JMIR biomedical engineering · 2024Article
- The Potential Use and Value of a Wearable Monitoring Bracelet for Patients With Chronic Obstructive Pulmonary Disease: Qualitative Study Investigating the Patient and Health Care Professional Perspectives.JMIR formative research · 2024Article
- The Role of Wearable Devices in Chronic Disease Monitoring and Patient Care: A Comprehensive Review.Cureus · 2024Review
- Home living older adults' subjective perceptions, evaluation, and interpretations of various welfare technology: A systematic review of qualitative studies.Public health in practice (Oxford, England) · 2024Article
- Feasibility of a wearable self-management application for patients with COPD at home: a pilot study.BMC medical informatics and decision making · 2024Observational
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- Exploring the Perspectives and Experiences of Older Adults With Asthma and Chronic Obstructive Pulmonary Disease Toward Mobile Health: Qualitative Study.Journal of medical Internet research · 2023Article
- User experience of a self-management WeChat applet for patients with neurogenic bladder: A qualitative approach.International journal of nursing sciences · 2023Article
- Remote patient monitoring strategies and wearable technology in chronic obstructive pulmonary disease.Frontiers in medicine · 2023Review
- Experiences of patients with chronic obstructive pulmonary disease receiving integrated telehealth nursing services during COVID-19 lockdown.BMC nursing · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTechnology such as wearable technology and self-management applications could improve the care of patients with chronic obstructive pulmonary disease (COPD) by real-time continuous monitoring, early detection of COPD and improved self-management. However, patients have not been willing to use technology when it is too difficult to use, interferes with their daily lives or threatens their identity, independence and self-care.
methodsWe conducted a qualitative study to determine what patients with COPD would like to see in a wearable device and a mobile application to help manage their condition. Semi-structured interviews were conducted, recorded and transcribed. Thematic analysis was used to identify themes and concepts.
resultsWe interviewed 14 people with COPD with an average age of 69 years. Participants perceived that the technology could improve their ability to manage their condition both in daily life and during exacerbations by connecting how they feel and by knowing their oxygen saturation, heart rate and activity. The technology may help them address feelings of fear and panic associated with exacerbations and may provide reassurance and connectedness. Some people with COPD wanted their healthcare providers to have access to their data, while others were concerned about inundating them with too much information. Of note, people wanted to maintain control of the information; to make connections with the data, but also in order to be alerted when a possible exacerbation occurs.
conclusionPatients perceived significant potential for wearables and apps to help manage their condition.
Identifiers
What OpenQuestion holds
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.