Evidence map›Paper›PMID 41403417›Full record

ArticleERJ open research2025

Feasibility of a real-world digital hybrid pulmonary rehabilitation model using a smartphone app.

Timothy O Jenkins, George D Edwards, Suhani Patel, Claire M Nolan, Karen Ingram, Stuart Clarke, Helen Lammin, Puja Trivedi, Callum Glen, Carmel Moore and 6 more

Abstract read
In one paragraph

Article in ERJ open research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

16 authors.

Timothy O JenkinsHarefield Respiratory Research Group, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK.ORCID https://orcid.org/0000-0002-8631-0725
George D EdwardsHarefield Respiratory Research Group, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Suhani PatelHarefield Respiratory Research Group, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Claire M NolanHarefield Respiratory Research Group, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK.ORCID https://orcid.org/0000-0001-9067-599X
Karen IngramHarefield Pulmonary Rehabilitation Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Stuart ClarkeHarefield Pulmonary Rehabilitation Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Helen LamminHarefield Pulmonary Rehabilitation Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Puja TrivediHarefield Pulmonary Rehabilitation Unit, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Callum GlenBiostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, Kings College, London, London, UK.
Carmel MooreClinical Trials Unit, Anglia Ruskin University, Chelmsford, UK.
Karen HaydenClinical Trials Unit, Anglia Ruskin University, Chelmsford, UK.ORCID https://orcid.org/0000-0003-4223-0659
Lindsey CookSo What? Consultancy, Ipswich, UK.
Pamela KnightSchool of Nursing and Midwifery, Faculty of Health, Medicine and Social Care, Anglia Ruskin University, Chelmsford, UK.ORCID https://orcid.org/0000-0003-0855-2574
Festus MesheSchool of Nursing and Midwifery, Faculty of Health, Medicine and Social Care, Anglia Ruskin University, Chelmsford, UK.
Graham BallMedical Technology Research Centre, Anglia Ruskin University, Chelmsford, UK.
William D-C ManHarefield Respiratory Research Group, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK.ORCID https://orcid.org/0000-0002-3782-659X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is interest in digital technology-enabled models of pulmonary rehabilitation (Digital-PR) as a means of increasing capacity, uptake and accessibility. However, there are little data on real-world implementation or how Digital-PR could support other models of pulmonary rehabilitation delivery. Methods: We conducted a mixed-methods, feasibility study to evaluate the acceptability of a hybrid model of pulmonary rehabilitation (Hybrid-PR) blending Digital-PR with traditional, supervised pulmonary rehabilitation (PR). To determine acceptability, we measured engagement and use of the app and conducted patient interviews. We assessed differences in PR completion, number of scheduled sessions and staff time between Hybrid-PR and a propensity-matched control group attending PR without Digital-PR (Control-PR). Results: Of 69 people undergoing Hybrid-PR, 87% opted for in-person, centre-based care and 13% for home-based care (10% supported by video-teleconferencing, 3% supported by telephone). 86% activated Digital-PR at least once, but only 35% activated regularly (at least weekly for 8 weeks). 88% never accessed the exercise components of Digital-PR. There were no significant differences in PR completion rates, number of supervised PR sessions, nor staff time in Hybrid-PR when compared to Control-PR. Both patients and staff identified digital literacy, limited flexibility to adapt/tailor Digital-PR and increased time-commitment as potential barriers. Conclusion: Hybrid-PR was not considered acceptable due to intervention fidelity and limited patient engagement with Digital-PR. Hybrid-PR was not associated with reduction in scheduled supervised sessions. Poor digital literacy is an important barrier to implementation of Digital-PR in the real-world setting.

Identifiers

PMID41403417
PMCPMC12704153

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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.