Evidence map›Paper›PMID 39987005›Full record

ArticleBMJ open2025

Using codesign workshops to develop a conceptual framework for a mobile health app targeting chronic low back pain self-management.

Tianyu Zhou, Sarah Kirby-Ginns, David Salman, Alison H McGregor

Abstract read
In one paragraph

Article in BMJ open, 2025. 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. 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

4 authors.

Tianyu ZhouDepartment of Surgery and Cancer, Imperial College London, London, UK t.zhou20@imperial.ac.uk.ORCID http://orcid.org/0000-0002-8785-8493
Sarah Kirby-GinnsRoyal College of Art, London, UK.
David SalmanDepartment of Surgery and Cancer, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-1481-8829
Alison H McGregorDepartment of Surgery and Cancer, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to gather insights from a diverse group of stakeholders, identify existing challenges and explore associated solutions to develop a conceptual framework that assists in the development of a chronic low back pain (CLBP) self-management app.

designCodesign workshop methodology.

settingThe study was conducted online, allowing for the participation of a diverse group of stakeholders.

participantsParticipants were recruited through social media platforms and professional networks, including individuals with LBP for at least 3 months, healthcare professionals experienced in CLBP management and app developers with a background in digital health applications.

interventionsThe study used codesign workshops focused on brainstorming, communication and reflection exercises designed to foster collaboration and gather insights from stakeholders. OUTCOME MEASURES: Identification of key challenges and potential solutions for mobile health (mHealth) apps targeting CLBP.

resultsNine stakeholders identified four primary challenges in current back pain apps: belief and trust, motivation, safety and usability. The group also collaboratively developed and proposed practical solutions to these challenges.

conclusionsThis study illustrated the utility of the codesign workshop approach in generating critical insights for the development of a mHealth solution for CLBP. The insights gathered from these workshops can be used to inform future app development, potentially improving user engagement.

Indexed as

Chronic PainLow Back PainMobile ApplicationsSelf-ManagementFemaleHumansMaleStakeholder ParticipationTelemedicineBack painSelf-ManagementSpine

Identifiers

PMID39987005
PMCPMC11848688

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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.