Evidence map›Paper›PMID 40357426›Full record

ArticleDigital health

To framework, or not to framework? Reflections from co-design of a digital supportive care platform for patients with brain tumours and their carers.

Mahima Kalla, Kit Huckvale, Ashleigh Bradford, Verena Schadewaldt, Sarah C E Bray, Ann Borda, Kara Burns, Heidi McAlpine, Joseph Thomas, Daniel Capurro and 6 more

Abstract read
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 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

16 authors.

Mahima KallaCentre for Digital Transformation of Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, VIC.ORCID https://orcid.org/0000-0001-5349-0873
Kit HuckvaleCentre for Digital Transformation of Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, VIC.
Ashleigh BradfordDepartment of Health Services Research and Implementation Science, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
Verena SchadewaldtDepartment of Neurosurgery, The Royal Melbourne Hospital, Parkville, VIC, Australia.ORCID https://orcid.org/0000-0003-3256-6458
Sarah C E BrayDepartment of Neurosurgery, The Royal Melbourne Hospital, Parkville, VIC, Australia.
Ann BordaMelbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, VIC, Australia.
Kara BurnsCentre for Digital Transformation of Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, VIC.
Heidi McAlpineDepartment of Neurosurgery, The Royal Melbourne Hospital, Parkville, VIC, Australia.
Joseph ThomasCentre for Health Economics Research and Evaluation, University of Technology Sydney, Ultimo, NSW, Australia.
Daniel CapurroCentre for Digital Transformation of Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, VIC.
Richard De Abreu LourencoCentre for Health Economics Research and Evaluation, University of Technology Sydney, Ultimo, NSW, Australia.
Sarah CainDepartment of Neurosurgery, The Royal Melbourne Hospital, Parkville, VIC, Australia.
Wendy ChapmanCentre for Digital Transformation of Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, VIC.
James R WhittleDepartment of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
Katharine J DrummondDepartment of Neurosurgery, The Royal Melbourne Hospital, Parkville, VIC, Australia.
Meinir KrishnasamyDepartment of Health Services Research and Implementation Science, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While it is widely acknowledged that co-design will enhance project outcomes, including for digital health innovation, the definition and application of co-design remain heterogenous. Efforts to systematise co-design as a meaningful and rigorous methodology, have been made over the past decades using co-design frameworks. However, we find that co-design frameworks present challenges when operational contexts are complex, and research problems nebulous, as is often the case in digital health research and development initiatives. Here, we present our experience of co-designing a self-guided supportive care digital health platform for Australians affected by brain tumours, called 'Brain Tumours Online'. The Brain Tumours Online platform seeks to mitigate unmet supportive care needs of patients and their carers through a three-pronged approach: a repository of evidence-based information, an online peer support community, and a directory of validated digital therapeutic tools. Our co-design approach for this platform was influenced by three key contextual considerations: a) disparate operating models and competing priorities of partner organisations; b) patient population-specific needs; and c) the need to practice epistemic flexibility and adaptation to evolving project needs. Instead of following a standardised co-design framework, we adopted methodological pluralism, with a bespoke multi-modal co-design approach. This approach allowed us to combine strengths of various stakeholders and mitigate organisational barriers of working across sectors, characteristic of digital health initiatives in healthcare. Layperson summary: In the realm of digital health innovation, co-design is recognized as crucial for achieving successful outcomes. Co-design refers to a participatory method whereby stakeholders, such as patients and carers, collaborate with design professionals to design solutions for problems. In the past, applying co-design methods has proved to be challenging, as there exist many different interpretations and contexts. In this paper, we reflect on the complexities we experienced when co-designing a supportive care digital health platform for Australians affected by brain tumours. Challenges encountered during this study included differing organizational priorities among partners, specific needs of patients, and the necessity for adaptable methods that respond to evolving project demands. To address these challenges, we used a variety of methods instead of adhering to a single systematized co-design framework. Our experience highlights how incorporating adaptability and engaging with different stakeholders in flexible ways can lead to better outcomes for digital health projects. By sharing what we have learned, we hope to encourage more flexible and collaborative approaches in digital health innovation, which can make treatments and tools more effective and useful for everyone involved.

Indexed as

co-designconsumer engagementco-productiondigital healthe-healthhealth informaticspatient and public involvement

Identifiers

PMID40357426
PMCPMC12066856

What OpenQuestion holds

Textmetadata
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.