Evidence map›Paper›PMID 37900610›Full record

ArticleFrontiers in neurology2023

Usability and utility of a remote monitoring system to support physiotherapy for people with Parkinson's disease.

Robin van den Bergh, Luc J W Evers, Nienke M de Vries, Ana L Silva de Lima, Bastiaan R Bloem, Giulio Valenti, Marjan J Meinders

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06246747 (The Use of Telerehabilitation to Improve Movement-related Outcomes and Quality of Life for Patients With Parkinson's Disease), which is not on this map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
12.3field-weighted citation impact, top 1% of its field
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.

NCT06246747 nacompletednot on this map

The Use of Telerehabilitation to Improve Movement-related Outcomes and Quality of Life for Patients With Parkinson's Disease: A Pilot Randomized Controlled Trial

TypeinterventionalSponsorWizecareRan2020 to 2023Enrolled19ConditionsParkinson DiseaseArmsIn clinic physical therapy, Telerehabilitation only
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Effects of a gait training program with the FisiorBMC complementary medicine and therapies · 2026
    Trial
  3. Article
  4. Article
  5. Clinical utility of digital technologies in Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Article
  14. 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

7 authors at 3 institutions in 1 country.

Robin van den BerghRadboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Center of Expertise for Parkinson and Movement Disorders, Nijmegen, Netherlands.
Luc J W EversRadboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Center of Expertise for Parkinson and Movement Disorders, Nijmegen, Netherlands.
Nienke M de VriesRadboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Center of Expertise for Parkinson and Movement Disorders, Nijmegen, Netherlands.
Ana L Silva de LimaRadboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Center of Expertise for Parkinson and Movement Disorders, Nijmegen, Netherlands.
Bastiaan R BloemRadboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Center of Expertise for Parkinson and Movement Disorders, Nijmegen, Netherlands.
Giulio ValentiPhilips Research, Department of Connected Care and Remote Patient Management, Eindhoven, Netherlands.
Marjan J MeindersRadboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Center of Expertise for Parkinson and Movement Disorders, Nijmegen, Netherlands.
Radboud University Nijmegen · NLPhilips (Netherlands) · NLRadboud University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Physiotherapy for persons with Parkinson's disease (PwPD) could benefit from objective and continuous tracking of physical activity and falls in daily life. Objectives: We designed a remote monitoring system for this purpose and describe the experiences of PwPD and physiotherapists who used the system in daily clinical practice. Methods: Twenty-one PwPD (15 men) wore a sensor necklace to passively record physical activity and falls for 6 weeks. They also used a smartphone app to self-report daily activities, (near-)falls and medication intake. They discussed those data with their PD-specialized physiotherapist ( Results: We applied thematic analysis to the interview data resulting in two main themes: usability and utility. First, the usability of the system was rated positively, with the necklace being easy to use. However, some PwPD with limited digital literacy or cognitive impairments found the app unclear. Second, the perceived utility of the system varied among PwPD. While many PwPD were motivated to increase their activity level, others were not additionally motivated because they perceived their activity level as high. Physiotherapists appreciated the objective recording of physical activity at home and used the monitoring of falls to enlarge awareness of the importance of falls for PwPD. Based on the interview data of all participants, we drafted three user profiles for PwPD regarding the benefits of remote monitoring for physiotherapy: for profile 1, a monitoring system could act as a flagging dashboard to signal the need for renewed treatment; for profile 2, a monitoring system could be a motivational tool to maintain physical activity; for profile 3, a monitoring system could passively track physical activity and falls at home. Finally, for a subgroup of PwPD the burdens of monitoring will outweigh the benefits. Conclusions: Overall, both PwPD and physiotherapists underline the potential of a remote monitoring system to support physiotherapy by targeting physical activity and (near-)falls. Our findings emphasize the importance of personalization in remote monitoring technology, as illustrated by our user profiles.

Indexed as

fallsParkinson's diseasepersonalized carephysical activityphysiotherapyremote monitoringtelemedicinewearable electronic devices

Identifiers

PMID37900610
PMCPMC10601712
OpenAlexW4387578433

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.