Evidence map›Paper›PMID 40123353›Full record

ArticleJournal of Parkinson's disease2025

Diverse preferences, different solutions: Exploring remote monitoring preferences in Parkinson's disease through a discrete choice experiment.

Carlos Antonio Godoy Junior, Laura Mäkitie, Eleonora Fiorenzato, Maija Koivu, Joonas Niskala, Angelo Antonini, Lytske Jantien Bakker, Luis Pilli, Carin Uyl-de Groot, William Ken Redekop and 1 more

Abstract read
In one paragraph

Article in Journal of Parkinson's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Carlos Antonio Godoy JuniorErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, Netherlands.ORCID 0009-0008-0871-459X
Laura MäkitieDepartment of Neurology and Department of Clinical Neurosciences (Neurology), University Hospital and University of Helsinki, Helsinki, Finland.
Eleonora FiorenzatoDepartment of Neuroscience, University of Padova, Padova, Italy.ORCID 0000-0001-7947-5903
Maija KoivuDepartment of Neurology and Department of Clinical Neurosciences (Neurology), University Hospital and University of Helsinki, Helsinki, Finland.ORCID 0000-0002-7921-5412
Joonas NiskalaDepartment of Neurology and Department of Clinical Neurosciences (Neurology), University Hospital and University of Helsinki, Helsinki, Finland.
Angelo AntoniniDepartment of Neuroscience, University of Padova, Padova, Italy.
Lytske Jantien BakkerErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, Netherlands.
Luis PilliErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, Netherlands.ORCID 0000-0002-4416-6155
Carin Uyl-de GrootErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, Netherlands.ORCID 0000-0001-5808-302X
William Ken RedekopErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, Netherlands.
Welmoed Kirsten van DeenErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, Netherlands.ORCID 0000-0002-4836-9849

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundRemote monitoring solutions (RMS) have the potential to improve Parkinson's disease (PD) management by enabling continuous symptom tracking and personalized care. Understanding patient preferences for RMS features is essential for successful implementation.ObjectiveThis study aimed to investigate the preferences of people with Parkinson's disease (PwP) for RMS features and identify preference heterogeneity across distinct patient subgroups.MethodsFrom November 2023 to February 2024, a discrete choice experiment (DCE) was conducted among PwP in Finland and Italy to elicit preferences for RMS attributes, including monitoring frequency, time spent filling questionnaires, home video recordings, and clinical benefits (delay in advanced symptom onset). Latent class analysis (LCA) was used to identify subgroups with distinct preference patterns, and adoption probabilities under varying RMS scenarios were estimated.ResultsA total of 411 PwP participated, revealing significant heterogeneity in RMS preferences. While clinical benefits, particularly delaying advanced symptom onset, were the most valued attribute overall, preferences diverged across subgroups. Some participants strongly preferred home video recordings, whereas others expressed aversion to this feature. A smaller subgroup exhibited reluctance toward RMS adoption, regardless of its benefits.ConclusionsPwP generally view RMS favorably, but preferences for specific features vary substantially across subgroups. Clinical benefits are a key driver of adoption, while home video recordings elicit both strong preference and aversion, highlighting the impracticality of a one-size-fits-all approach. Tailoring RMS to diverse patient needs, addressing concerns, and enhancing usability through customization are essential for successful implementation and widespread acceptance in PD management.

Indexed as

Choice BehaviorParkinson DiseasePatient PreferenceAgedFemaleFinlandHumansItalyMaleMiddle AgedTelemedicinemovement disordersParkinson's diseasepatient preferenceremote patient monitoringremote sensing technologytelemedicine

Identifiers

PMID40123353
PMCPMC13347457

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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.