Evidence map›Paper›PMID 42852984›Full record

ArticleJournal of Parkinson's disease2026

Meaningful digital mobility outcomes for people with Parkinson's disease: Insights grounded in diverse lived experience.

Jack Lumsdon, Ríona Mc Ardle, Megan Hanrahan, Alison Keogh, Cameron Wilson, Tova Gur Arieh, Alastair J Noyce, Essa Bhadra, Johanna Graeber, Lova Hulst and 8 more

Abstract read
In one paragraph

Article in Journal of Parkinson's disease, 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

18 authors.

Jack LumsdonPopulation Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK.ORCID 0009-0001-8985-0209
Ríona Mc ArdleNIHR Newcastle Biomedical Research Centre, Newcastle University, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.ORCID 0000-0001-7959-3563
Megan HanrahanPopulation Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK.ORCID 0009-0006-1800-7042
Alison KeoghInsight for Data Analytics, University College Dublin, Dublin, Ireland.ORCID 0000-0001-5917-6308
Cameron WilsonPopulation Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK.ORCID 0000-0001-5286-6306
Tova Gur AriehMobilise-D Patient and Public Advisory Group, Newcastle upon Tyne, UK.
Alastair J NoyceWolfson Institute of Population Health, Centre for Preventive Neurology, Queen Mary University of London, London, UK.ORCID 0000-0003-3027-5497
Essa BhadraDepartment of Neurology, The Royal London Hospital, Barts Health NHS Trust, London, UK.
Johanna GraeberDepartment of Neurology, University Hospital Schleswig-Holstein, Kiel University, Kiel, Germany.
Lova HulstDepartment of Rehabilitation Sciences, Research Group for Neurorehabilitation (eNRGy), KU Leuven, Leuven, Belgium.
Moran GilatDepartment of Rehabilitation Sciences, Research Group for Neurorehabilitation (eNRGy), KU Leuven, Leuven, Belgium.ORCID 0000-0002-0072-4637
Heiko GassnerDepartment of Molecular Neurology, University Hospital Erlangen, Erlangen, Germany.ORCID 0000-0003-2037-9460
Jürgen WinklerDepartment of Molecular Neurology, University Hospital Erlangen, Erlangen, Germany.ORCID 0000-0003-0630-9204
Walter MaetzlerDepartment of Neurology, University Hospital Schleswig-Holstein, Kiel University, Kiel, Germany.ORCID 0000-0002-5945-4694
Anat MirelmanLaboratory for Early Markers of Neurodegeneration, Center for the study of Movement, Cognition and Mobility, Sagol School of Neuroscience, Faculty of Medicine and Health Sciences, Neurological Institute, Tel Aviv Medical Center, Tel Aviv University, Tel Aviv, Israel.
Alison J YarnallNIHR Newcastle Biomedical Research Centre, Newcastle University, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.ORCID 0000-0002-3126-9163
Lynn RochesterNIHR Newcastle Biomedical Research Centre, Newcastle University, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.ORCID 0000-0001-5774-9272
Katie BrittainPopulation Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK.ORCID 0000-0002-3889-7357

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundDigital mobility outcomes (DMOs) have been cited as potential clinical endpoints for trials in Parkinson's disease (PD). Current evidence from the Mobilise-D consortium suggests that selected DMOs are technically valid, with emerging research on their clinical validity. However, regulatory qualification of DMOs requires additional evidence of their meaningfulness to people with PD.ObjectiveTo identify meaningful DMOs by understanding how mobility symptoms impact aspects of health that matter to people with PD.MethodsPurposive sampling recruited a diverse sample of people with PD to participate in semi-structured interviews. Content analysis identified frequent and bothersome mobility symptoms and their impacts on meaningful aspects of health. Twelve experts mapped meaningful symptoms to relevant DMOs through a nominal group consensus.ResultsSeventy-two people with PD participated, inclusive of under-served groups: ethnic minorities (14%) or LGBTQIA + backgrounds (14%), in older age (3%) or with young-onset PD (13%), living rurally (31%) or in a deprived area (19%). Shuffling gait, bradykinesia and balance issues were the most frequent symptoms, and the most bothersome and impactful on meaningful aspects of health (i.e., activities of daily living, life-space mobility, emotional wellbeing) among participants who experienced them. Less frequent, but still highly bothersome and impactful symptoms included freezing of gait, fatigue and weakness. Expert consensus suggested that walking speed, stride length and turn duration were the most relevant DMOs to reflect these meaningful symptoms.ConclusionFindings offer an inclusive, meaningful framework for digital assessment of mobility in PD, grounded in lived experience and consistent with regulatory guidance.

Indexed as

clinical trialsdigital healthdigital technologydiversityequity and inclusiongaitmobility limitationParkinson disease

Identifiers

PMID42852984
PMCPMC13652976

What OpenQuestion holds

Textmetadata
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.