Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients

Through the feedback provided and existing data visualization principles, we developed recommendations for future visualizations of mobility- and health-related data. Visualizations should be readable by ensuring that large and clear fonts are used and should be friendly for people with vision impairments, such as color blindness. Patients have a strong understanding of their own condition and its variability; hence, adding additional factors into visualizations is recommended to better reflect the nuances of a condition. Ensuring that outcomes and visualizations are meaningful requires close collaboration with patients throughout the development process.

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Publication Details

Journal
JMIR Formative Research
Published
2025-03-11
DOI
https://doi.org/10.2196/68782
Citations
1
Primary Topic
Delphi Technique in Research
Type
article
Field-Weighted Citation Impact
4.20

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article

Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients

Andrea Cereatti, Norman Sutton, Emily Hume, Jordi Evers et al.
1 citations
JMIR Formative Research
Delphi Technique in Research
4.20
article

Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients

Andrea Cereatti, Norman Sutton, Emily Hume, Jordi Evers, Jeffrey M. Hausdorff, Dimitrios Megaritis, Kirsty Scott, Alma Cantu, Cameron Wilson, Gavin Brittain, Judith García‐Aymerich, Marco Caruso, Francesco Benvenuti, Laura Delgado‐Ortiz, Alison Keogh, Cameron Kirk, Walter Maetzler, Hugo Hiden, Silvia Del Din, Ioannis Vogiatzis, Ellen Buckley, Clint Hansen, Beatrix Vereijken, Lynn Rochester, Lisa Alcock, Koen van den Brande, Clemens Becker, Philip Brown, Tecla Bonci, Heiko Gaßner, Brian Michael Caulfield, Alison Jane Yarnall, Jack Lumsdon, Tova Gur Arieh, Basil Sharrack
article en
1 citations

Abstract

Through the feedback provided and existing data visualization principles, we developed recommendations for future visualizations of mobility- and health-related data. Visualizations should be readable by ensuring that large and clear fonts are used and should be friendly for people with vision impairments, such as color blindness. Patients have a strong understanding of their own condition and its variability; hence, adding additional factors into visualizations is recommended to better reflect the nuances of a condition. Ensuring that outcomes and visualizations are meaningful requires close collaboration with patients throughout the development process.

JMIR Formative ResearchVol. 9
University College Dublin (IE), Rush University Medical Center (US), Tel Aviv University (IL), Universitat Pompeu Fabra (ES), Politecnico di Torino (IT), Norwegian University of Science and Technology (NO), Trinity College Dublin (IE), Heidelberg University (DE), University of Cambridge (GB), Tel Aviv Sourasky Medical Center (IL), Newcastle upon Tyne Hospitals NHS Foundation Trust (GB), Robert Bosch Stiftung (DE), Robert Bosch Hospital (DE), Northumbria University (GB), Universitätsklinikum Erlangen (DE), Cambridge School (PT), Sheffield Teaching Hospitals NHS Foundation Trust (GB), Centre for Biomedical Network Research on Rare Diseases (ES), Fraunhofer Institute for Integrated Circuits (DE), Newcastle upon Tyne Hospital (GB), NIHR Newcastle Biomedical Research Centre (GB), Insigneo (GB), Barcelona Institute for Global Health (ES), Medical Research Network (US), Newcastle University (GB), University of Sheffield (GB)
Michael J. Fox Foundation for Parkinson's Research, Wellcome Trust, Weston Brain Institute, European Federation of Pharmaceutical Industries and Associations, Intercept Pharmaceuticals, National Institute for Health and Care Research, Department of Health and Social Care, Parkinson's UK, Newcastle University, European Commission, Deutsche Forschungsgemeinschaft, Newcastle upon Tyne Hospitals NHS Foundation Trust, Engineering and Physical Sciences Research Council, NIHR Newcastle Biomedical Research Centre
Openalex Percentile: Top 9%
Delphi Technique in Research
4.20
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