Evidence map›Paper›PMID 41490355›Full record

ArticlePloS one2026

Parkinson's disease gait rehabilitation at scale: Insights on personalised smartphone-based music cueing.

Conor Wall, Amber Sacre, Peter McMeekin, Richard Walker, Victoria Hetherington, Yunus Celik, Rodrigo Vitorio, Rosie Morris, Alan Godfrey

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Conor WallSchool of Computer Science, Northumbria University, Newcastle upon Tyne, United Kingdom.
Amber SacreNewcastle Patient Safety Research Collaboration, School of Pharmacy, Newcastle University, Newcastle upon Tyne, United Kingdom.ORCID https://orcid.org/0009-0005-1459-1782
Peter McMeekinSchool of Healthcare and Nursing Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom.
Richard WalkerNorthumbria Healthcare NHS Foundation Trust, North Shields, Newcastle upon Tyne, United Kingdom.
Victoria HetheringtonCumbria, Northumberland Tyne and Wear NHS Foundation Trust, Wolfson Research Centre, Campus for Ageing and Vitality, Newcastle upon Tyne, United Kingdom.
Yunus CelikElectrical and Electronics Engineering Department, Istanbul University-Cerrahpasa, Istanbul, Turkey.
Rodrigo VitorioSchool of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle, United Kingdom.
Rosie MorrisSchool of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle, United Kingdom.
Alan GodfreySchool of Computer Science, Northumbria University, Newcastle upon Tyne, United Kingdom.ORCID https://orcid.org/0000-0003-4049-9291

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the perceptions of people with Parkinson's Disease (PwPD) regarding the use of a smartphone-based music cueing application (app). We present CuePD, an app for PwPD to use on their own smartphone for prescribed daily gait retraining/rehabilitation to reduce falls. Patient and public involvement and engagement (PPIE) is fundamental to ensuring the development of CuePD as a user-centred platform that effectively incorporates the lived experiences, insights, and needs of PwPD into its design and implementation. A qualitative vignette-based focus group was conducted, comprising seven PwPD and one caregiver, to gather insights on the acceptability and perceived utility of CuePD. Through open-ended questioning, participants' existing routines were explored, including obstacles in sustaining an active lifestyle, and whether CuePD could routinely support gait rehabilitation in the home and beyond. The transcript was analysed using a reflexive thematic approach, of which four themes were constructed: (i) exercise preferences and routines, (ii) motivation and engagement, (iii) daily challenges and support, and (iv) app features and usability. Participants expressed a general openness to incorporating CuePD into their routines, emphasising the importance of personalised, engaging, and supportive solutions to enhance motivation and adherence to exercise. However, concerns were raised regarding the usability of CuePD features and the desire for more feature customisation to meet PD-specific needs and preferences. Overall findings suggest the potential of CuePD in supporting personalised and accessible gait rehabilitation through music cueing. CuePD may encourage active participation in disease management, better communication with healthcare professionals, and improve the overall quality of life for PwPD. More generally, this study highlights a significant interest among PwPD in using innovative technologies for rehabilitation, pointing towards the need for further development and user-centred design in PD-based mobile health (mHealth) solutions.

Indexed as

GaitMusicMusic TherapyParkinson DiseaseSmartphoneAgedCuesFemaleFocus GroupsHumansMaleMiddle AgedMobile Applications

Identifiers

PMID41490355
PMCPMC12768380

What OpenQuestion holds

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LicenceCC BY
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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.