Evidence map›Paper›PMID 40749223›Full record

ArticleJournal of medical Internet research2025

Insights From a Mixed Methods Analysis of 3 Health Technologies Used in Patients With Parkinson Disease: Mixed Methods Study.

Daniel Pérez-Rangel, Mariana H G Monje, Sylvie Grosjean, Martin Srp, Laura Antunes, Raquel Bouça-Machado, Ricardo Cacho, Sergio Domínguez Rodríguez, John Inocentes, Timothy Lynch and 10 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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

20 authors.

Daniel Pérez-RangelMovement Disorders Unit, Neurology Department, Hospital Universitario 12 De Octubre, Av. de Córdoba, s/n, Usera, Madrid, 28041, Spain, 34 913908000.ORCID http://orcid.org/0009-0007-9627-4602
Mariana H G MonjeKen and Ruth Davee Department of Neurology, Northwestern University, Feinberg School of Medicine, Chicago, IL, United States.ORCID http://orcid.org/0000-0002-0730-4061
Sylvie GrosjeanDepartment of Communication, Com&Tech Innovations Lab, University of Ottawa, Ottawa, ON, Canada.ORCID http://orcid.org/0000-0002-4568-0500
Martin SrpDepartment of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University, Prague, Czech Republic.ORCID http://orcid.org/0000-0003-2215-0272
Laura AntunesCNS - Campus Neurológico Torres Vedras, Lisbon, Portugal.ORCID http://orcid.org/0009-0007-1887-0652
Raquel Bouça-MachadoCNS - Campus Neurológico Torres Vedras, Lisbon, Portugal.ORCID http://orcid.org/0000-0003-3756-2763
Ricardo CachoCNS - Campus Neurológico Torres Vedras, Lisbon, Portugal.ORCID http://orcid.org/0009-0008-3684-2468
Sergio Domínguez RodríguezLAIMBIO, Laboratorio de Análisis de Imagen Médica y Biometría, Universidad Rey Juan Carlos, Madrid, Spain.ORCID http://orcid.org/0009-0006-7736-8585
John InocentesDublin Neurological Institute, Mater Misericordiae University Hospital, Dublin, Ireland.ORCID http://orcid.org/0000-0001-6086-4829
Timothy LynchDublin Neurological Institute, Mater Misericordiae University Hospital, Dublin, Ireland.ORCID http://orcid.org/0000-0002-2380-8737
Argyri TsakanikaPD Neurotechnology, Athens, Greece.ORCID http://orcid.org/0009-0001-2139-9300
Dimitrios FotiadisPD Neurotechnology, Athens, Greece.ORCID http://orcid.org/0000-0002-7362-5082
George RigasPD Neurotechnology, Athens, Greece.ORCID http://orcid.org/0000-0002-5102-6185
Evžen RůžičkaDepartment of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University, Prague, Czech Republic.ORCID http://orcid.org/0000-0002-4893-9661
Joaquim J FerreiraCNS - Campus Neurológico Torres Vedras, Lisbon, Portugal.ORCID http://orcid.org/0000-0003-3950-5113
Angelo AntoniniParkinson and Movement Disorders Unit, Department of Neurosciences, Padova University, Padova, Italy.ORCID http://orcid.org/0000-0003-1040-2807
Norberto MalpicaLAIMBIO, Laboratorio de Análisis de Imagen Médica y Biometría, Universidad Rey Juan Carlos, Madrid, Spain.ORCID http://orcid.org/0000-0003-4618-7459
Tiago MestreParkinson's Disease and Movement Disorders Center, Division of Neurology, Department of Medicine, The Ottawa Hospital Research Institute, University of Ottawa's Brain and Mind Research Institute, Ottawa, ON, Canada.ORCID http://orcid.org/0000-0002-6973-7479
Álvaro Sánchez-FerroMovement Disorders Unit, Neurology Department, Hospital Universitario 12 De Octubre, Av. de Córdoba, s/n, Usera, Madrid, 28041, Spain, 34 913908000.ORCID http://orcid.org/0000-0003-2461-2485
iCARE-PD Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The transition to a patient-centered integrated care model in Parkinson disease (PD) highlights the crucial role of technology. "Technology-enabled care" (TEC) supports diagnosis, disease tracking, self-care education, and care team communication. However, gaps remain in developing and evaluating patient-centered TEC solutions. Objective: This study aims to evaluate the usability and acceptability of 3 health technologies for PD and discuss the significance of the results. Methods: This multicenter international study was conducted from December 2020 to September 2023 across 5 tertiary PD centers. Participants included individuals diagnosed with PD who were recruited through these centers. Each participant provided informed consent before enrollment. The study assessed the usability and acceptability of 3 different health technologies designed to support PD management. The System Usability Scale (SUS) was used as the primary quantitative measure, with scores ranging from 0 to 100, with higher scores indicating greater usability. Additionally, participants completed a custom usability and acceptability survey, which included Likert-scale questions and open-ended qualitative feedback. To ensure a comprehensive evaluation, structured user testing sessions were conducted. Participants interacted with each technology under guided conditions, followed by independent use in their home environment for a specified period. Data were collected at baseline and after the trial period to assess any changes in user perception. Qualitative thematic analysis of free-text responses was performed to identify key themes related to user experience, perceived benefits, and challenges. Two independent researchers analyzed the qualitative data to ensure reliability and consistency in theme extraction. Results: The study included 43 people with PD, of whom 15 were female. The median age of participants was 67.0 (IQR 59.9-71.5) years, and the median disease duration was 9.6 (IQR 5.0-13.7) years. The 3 health technologies demonstrated acceptable usability, with median SUS scores ranging from 74.0 to 82.5. Participants expressed a generally positive attitude toward TEC, with a strong interest in continued use. Users particularly valued confidence in navigating the technology and its role in facilitating disease management. The qualitative analysis highlighted several challenges. Users frequently mentioned the need for improved technical support, clearer instructional materials, and simplified report formats to enhance interpretability. Some participants experienced difficulties with initial setup and required assistance, emphasizing the importance of user-friendly onboarding processes. Conclusions: Our study underscores the importance of incorporating patient perspectives in the development of health technologies for PD. Positive user experiences demonstrate the potential of TEC to enhance disease management, but addressing usability challenges remains critical. Future efforts should focus on refining user interfaces, providing comprehensive technical support, and ensuring clear, accessible instructions to maximize adoption and long-term engagement. By prioritizing these aspects, TEC can play a pivotal role in advancing patient-centered health care solutions for PD.

Indexed as

Biomedical TechnologyParkinson DiseaseAgedFemaleHumansMaleMiddle AgedPatient-Centered CareSelf CareSurveys and QuestionnairesTelemedicineacceptabilityParkinson diseasetechnology-enabled careusability

Identifiers

PMID40749223
PMCPMC12316440

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.