Evidence map›Paper›PMID 42181080›Full record

ArticleMethodsX2026

Integrating stakeholder perspectives in the co-design of medical device software to monitor Parkinson's disease symptoms- A case-study.

Rituja A Raut, Barbara Polus, Quoc Cuong Ngo, Nemuel D Pah, Robyn Clay-Williams, Dinesh K Kumar

Abstract read
In one paragraph

Article in MethodsX, 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

6 authors.

Rituja A RautRMIT University, School of Engineering, Melbourne, 3000, Victoria, Australia.
Barbara PolusRMIT University, School of Engineering, Melbourne, 3000, Victoria, Australia.
Quoc Cuong NgoRMIT University, School of Engineering, Melbourne, 3000, Victoria, Australia.
Nemuel D PahRMIT University, School of Engineering, Melbourne, 3000, Victoria, Australia.
Robyn Clay-WilliamsMacquarie University, Faculty of Medicine, Health and Human Sciences, Sydney, 2109, New South Wales, Australia.
Dinesh K KumarRMIT University, School of Engineering, Melbourne, 3000, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been a rapid proliferation of AI-based medical devices and Software as a Medical Device (SaMD), largely due to their ease of deployment and scalability. Despite these advantages, many such technologies face limited clinical acceptance and reduced effectiveness in real-world healthcare settings. This gap is frequently attributed to technology-driven development approaches that insufficiently involve end users and other key stakeholders. This paper describes a structured co-design approach applied to the development of NCare, a smartphone-based SaMD designed to monitor motor symptoms associated with Parkinson's disease. Co-design engaged people living with Parkinson's Disease, clinicians, developers, and commercial stakeholders in iterative system refinement. Workshops, surveys, observational methods, and a trial phase were used to capture experiential, clinical, and contextual insights across different stages of development. This approach enabled the identification of usability challenges, workflow integration requirements, and reporting requirements absent from developer-led approaches. The paper presents a case study of co-design protocol intended to support the development of needs-driven, clinically relevant, and adoptable digital health technologies.

Indexed as

Co-designDigital healthParkinson’s diseaseSoftware as a medical device (SaMD)Stakeholder engagement

Identifiers

PMID42181080
PMCPMC13191614

What OpenQuestion holds

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LicenceCC BY
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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.