Evidence map›Paper›PMID 42158961›Full record

ReviewChronic respiratory disease

Modernisation of chronic respiratory disease management: The integration of wearable technology.

Matthew Armstrong

Abstract readReview
In one paragraph

Review in Chronic respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Matthew ArmstrongDepartment of Sport and Exercise Science, Faculty of Social Sciences, Durham University, Durham, UK.ORCID 0000-0001-7759-444X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic respiratory diseases such as Chronic Obstructive Pulmonary Disease, Asthma, Interstitial Lung Disease, Cystic Fibrosis, and Pulmonary Hypertension affect over 500 million people globally and pose significant challenges for diagnosis, management, and long-term care. Traditional approaches often rely on episodic clinical assessments and patient-reported symptoms, which fail to capture the dynamic nature of respiratory health. The integration of wearable technology offers a transformative solution, enabling continuous, real-time monitoring of physiological and behavioural parameters. This review explores the evolving role of wearable devices, including activity trackers, smartwatches, spirometers, and biosensors, in modernising chronic respiratory disease management. Evidence across disease domains demonstrates that wearables can enhance physical activity, predict exacerbations, support remote rehabilitation, and facilitate personalised care. In Chronic obstructive pulmonary disease, step counters and biometric sensors have shown improvements in activity levels and early exacerbation detection. Asthma care benefits from AI-driven platforms that integrate environmental and physiological data to optimise treatment. For Interstitial lung disease and Cystic fibrosis, home spirometry and sweat biomarker monitoring empower patients and improve disease tracking. In Pulmonary hypertension, wearables provide insights into activity and sleep patterns, complementing traditional assessments. Despite promising outcomes, barriers remain. Technical limitations, data reliability, digital literacy, privacy concerns, and integration into clinical workflows hinder widespread adoption. Economic and equity considerations further challenge scalability, particularly in low-resource settings. Looking forward, the convergence of multimodal sensing, AI analytics, and digital therapeutics will enable proactive, personalised, and equitable respiratory care. Addressing validation, interoperability, and ethical governance will be critical to realising the full potential of wearable technology in CRD management.

Indexed as

Respiratory Tract DiseasesWearable Electronic DevicesAsthmaChronic DiseaseCystic FibrosisDigital HealthDisease ManagementHumansPulmonary Disease, Chronic ObstructiveRemote Patient Monitoringartificial intelligencechronic respiratory diseasedisease managementpersonalised managementwearable technology

Identifiers

PMID42158961
PMCPMC13191128

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.