Evidence map›Paper›PMID 34104470›Full record

ArticleDigital health

Recruiting patients to a digital self-management study whilst in hospital for a chronic obstructive pulmonary disease exacerbation: A feasibility analysis.

Maxine Whelan, Christopher Biggs, Carlos Areia, Elizabeth King, Beth Lawson, Nikki Newhouse, Xiaorong Ding, Carmelo Velardo, Mona Bafadhel, Lionel Tarassenko and 3 more

Abstract read
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In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

13 authors.

Maxine WhelanNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-9203-3162
Christopher BiggsNuffield Department of Clinical Neuroscience, University of Oxford, Oxford, UK.
Carlos AreiaNuffield Department of Clinical Neuroscience, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-4668-7069
Elizabeth KingNuffield Department of Clinical Neuroscience, University of Oxford, Oxford, UK.
Beth LawsonNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Nikki NewhouseNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Xiaorong DingDepartment of Engineering, Institute of Biomedical Engineering, University of Oxford, Oxford, UK.
Carmelo VelardoDepartment of Engineering, Institute of Biomedical Engineering, University of Oxford, Oxford, UK.
Mona BafadhelDepartment of Respiratory Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Lionel TarassenkoDepartment of Engineering, Institute of Biomedical Engineering, University of Oxford, Oxford, UK.
Peter WatkinsonNuffield Department of Clinical Neuroscience, University of Oxford, Oxford, UK.
David CliftonDepartment of Engineering, Institute of Biomedical Engineering, University of Oxford, Oxford, UK.
Andrew FarmerNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundPatients with chronic obstructive pulmonary disease (COPD) are often hospitalised with acute exacerbations (AECOPD) and many patients get readmitted. Intervening with hospitalised patients may be optimal timing to provide support. Our previous work demonstrated use of a digital monitoring and self-management support tool in the community. However, we wanted to explore the feasibility of recruiting patients whilst hospitalised for an AECOPD, and to identify the rate of dropout attrition around admission for AECOPD.

methodsPatients were recruited to the EDGE2 study between May 2019 and March 2020. Patients were identified by the clinical teams and patients were recruited by members of the clinical research team. Participants were aged 40 years or older, had a diagnosis of COPD and were attending or admitted to hospital for an AECOPD. Participants were given a tablet computer, Bluetooth-linked pulse oximeter and wrist-worn physical activity monitor to use until 6 months post-discharge. Use of the system aimed to support COPD self-management by enabling self-monitoring of vital signs, COPD symptoms, mood and physical activity, and access to multi-media educational resources.

results281 patients were identified and 126 approached. The main referral source was the specialist respiratory nursing and physiotherapist team (49.8% of patients identified). Twenty-six (37.1%) patients were recruited. As of 21 April 2020, 14 (53.8%) participants withdrew and 11 (of 14; 78.6%) participants withdrew within four weeks of discharge. The remaining participants withdrew between one and three months follow-up (1 of 14; 7.1%) and between three and six months follow-up (2 of 14; 14.3%).

conclusionA large number of patients were screened to recruit a relatively small sample and a high rate of dropout was observed. It does not appear feasible to recruit patients with COPD to digital interventional studies from the hospital setting when they have the burden of coping with acute illness.

Indexed as

COPDFeasibilityhospital admissionrespiratoryself monitoringwearables

Identifiers

PMID34104470
PMCPMC8165816

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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.