Evidence map›Paper›PMID 42871142›Full record

ArticleBMC digital health2026

An educational intervention for unpaid/family carers of patients with breathlessness in advanced disease: developing a web-based resource.

Morag Farquhar, Sylvia Barnes, Roberta Lovick, Julie Burkin, Sophie Howson, Ravi Mahadeva, David Gilligan, Ingrid Muller, Kate Greenwell, Chris Todd and 1 more

Abstract read
In one paragraph

Article in BMC digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Morag FarquharSchool of Health Sciences, Faculty of Medicine & Health, University of East Anglia, Norwich, UK.ORCID https://orcid.org/0000-0001-7991-7679
Sylvia BarnesSchool of Health Sciences, Faculty of Medicine & Health, University of East Anglia, Norwich, UK.
Roberta LovickLay Carer, Norwich, UK.
Julie BurkinPalliative Care Team, Cambridge University Hospitals NHS Trust, Cambridge, UK.
Sophie HowsonThe Hicks Group Practice, Huntingdon, UK.
Ravi MahadevaDepartment of Respiratory Medicine, Cambridge University Hospitals NHS Trust, Cambridge, UK.
David GilliganDepartment of Oncology, Cambridge University Hospitals NHS Trust, Cambridge, UK.
Ingrid MullerPrimary Care Research Centre, School of Primary Care, Population Sciences, and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK.
Kate GreenwellPrimary Care Research Centre, School of Primary Care, Population Sciences, and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK.
Chris ToddSchool of Health Sciences, The University of Manchester, Manchester, UK.
Gail EwingCentre for Family Research, University of Cambridge, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic refractory breathlessness is distressing, disabling, and common in advanced disease. Unpaid/family carers provide support for patients, but often lack knowledge and confidence, experiencing anxiety which can lead to crises. The Learning about Breathlessness programme (LaB) sought to address this. Working with carers and clinical experts, the LaB1 Study identified six topics carers of patients with breathlessness due to cancer or chronic obstructive pulmonary disease (COPD) want to learn about breathlessness, and how they want to learn. To accommodate carers' varied learning preferences a web-based educational intervention was proposed, with four delivery modes: self-accessed, or accessed via peer-led support groups, established clinician-led groups, or in clinician one-to-ones. The 2-stage LaB2 Study sought to co-develop the web-based resource, suitable for these delivery modes and mapped to carers' learning needs identified in LaB1. Method: Building on LaB1, website content was co-developed iteratively through qualitative interviews, focus groups and workshops with bereaved carers, current carers, and patients living with breathlessness due to cancer or COPD (n=24), and with a Carer Advisory Group and Study Advisory Group (included clinical experts) (Stage 1). User feedback on the prototype website was then collected from carers, patients and clinicians (n=16) using 'think-aloud' interviews enabling website refinement through an iterative process (Stage 2). Results: The co-developed web-based resource, "Supporting Someone with Breathlessness", covers the six topics carers wanted to learn about and is designed to meet cancer/COPD carers preferences in terms of ways of learning. As such it includes words, pictures, film clips of peer carers and clinical experts, links to other resources and downloadable leaflets. Carers, patients and clinicians confirmed content utility and acceptability and suggested enhancements which enabled refinement. User feedback suggested the utility of the four potential delivery modes. Conclusion: To the best of our knowledge, "Supporting Someone with Breathlessness" is the first website dedicated to meeting the needs of unpaid/family carers of people with breathlessness in advanced disease: https://supporting-breathlessness.org.uk/. The content and format of this nationally endorsed web-based resource were guided by an evidence base of carer educational need and learning preferences. Design features ensure content is accessible for those without digital access. Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1186/s44247-026-00309-1.

Indexed as

BreathlessnessCarersDigitalIntervention

Identifiers

PMID42871142
PMCPMC13658331

What OpenQuestion holds

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Registered trials

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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.