npj Digital Medicine (Oct 2021)
Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes
- Ashley Polhemus,
- Laura Delgado Ortiz,
- Gavin Brittain,
- Nikolaos Chynkiamis,
- Francesca Salis,
- Heiko Gaßner,
- Michaela Gross,
- Cameron Kirk,
- Rachele Rossanigo,
- Kristin Taraldsen,
- Diletta Balta,
- Sofie Breuls,
- Sara Buttery,
- Gabriela Cardenas,
- Christoph Endress,
- Julia Gugenhan,
- Alison Keogh,
- Felix Kluge,
- Sarah Koch,
- M. Encarna Micó-Amigo,
- Corinna Nerz,
- Chloé Sieber,
- Parris Williams,
- Ronny Bergquist,
- Magda Bosch de Basea,
- Ellen Buckley,
- Clint Hansen,
- A. Stefanie Mikolaizak,
- Lars Schwickert,
- Kirsty Scott,
- Sabine Stallforth,
- Janet van Uem,
- Beatrix Vereijken,
- Andrea Cereatti,
- Heleen Demeyer,
- Nicholas Hopkinson,
- Walter Maetzler,
- Thierry Troosters,
- Ioannis Vogiatzis,
- Alison Yarnall,
- Clemens Becker,
- Judith Garcia-Aymerich,
- Letizia Leocani,
- Claudia Mazzà,
- Lynn Rochester,
- Basil Sharrack,
- Anja Frei,
- Milo Puhan,
- Mobilise-D
Affiliations
- Ashley Polhemus
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich
- Laura Delgado Ortiz
- ISGlobal
- Gavin Brittain
- Department of Neuroscience and Sheffield NIHR Translational Neuroscience BRC, Sheffield Teaching Hospitals NHS Foundation Trust & University of Sheffield
- Nikolaos Chynkiamis
- Department of Sport, Exercise and Rehabilitation, Faculty of Health and Life Sciences, Northumbria University Newcastle
- Francesca Salis
- Department of Biomedical Sciences, University of Sassari
- Heiko Gaßner
- Department of Molecular Neurology, University Hospital Erlangen
- Michaela Gross
- Department of Clinical Gerontology, Robert-Bosch-Hospital
- Cameron Kirk
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University
- Rachele Rossanigo
- Department of Biomedical Sciences, University of Sassari
- Kristin Taraldsen
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology
- Diletta Balta
- Department of Electronics and Telecommunications, Politecnico di Torino
- Sofie Breuls
- Department of Rehabilitation Sciences, KU Leuven
- Sara Buttery
- National Heart and Lung Institute, Imperial College London
- Gabriela Cardenas
- ISGlobal
- Christoph Endress
- Department of Clinical Gerontology, Robert-Bosch-Hospital
- Julia Gugenhan
- Department of Clinical Gerontology, Robert-Bosch-Hospital
- Alison Keogh
- Insight Centre for Data Analytics, University College Dublin
- Felix Kluge
- Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
- Sarah Koch
- ISGlobal
- M. Encarna Micó-Amigo
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University
- Corinna Nerz
- Department of Clinical Gerontology, Robert-Bosch-Hospital
- Chloé Sieber
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich
- Parris Williams
- National Heart and Lung Institute, Imperial College London
- Ronny Bergquist
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology
- Magda Bosch de Basea
- ISGlobal
- Ellen Buckley
- Insigneo Institute, Department of Mechanical Engineering, University of Sheffield
- Clint Hansen
- Department of Neurology, University Medical Center Schleswig-Holstein
- A. Stefanie Mikolaizak
- Department of Clinical Gerontology, Robert-Bosch-Hospital
- Lars Schwickert
- Department of Clinical Gerontology, Robert-Bosch-Hospital
- Kirsty Scott
- Insigneo Institute, Department of Mechanical Engineering, University of Sheffield
- Sabine Stallforth
- Department of Molecular Neurology, University Hospital Erlangen
- Janet van Uem
- Department of Neurology, University Medical Center Schleswig-Holstein
- Beatrix Vereijken
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology
- Andrea Cereatti
- Department of Biomedical Sciences, University of Sassari
- Heleen Demeyer
- Department of Rehabilitation Sciences, KU Leuven
- Nicholas Hopkinson
- National Heart and Lung Institute, Imperial College London
- Walter Maetzler
- Department of Neurology, University Medical Center Schleswig-Holstein
- Thierry Troosters
- Department of Rehabilitation Sciences, KU Leuven
- Ioannis Vogiatzis
- Department of Sport, Exercise and Rehabilitation, Faculty of Health and Life Sciences, Northumbria University Newcastle
- Alison Yarnall
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University
- Clemens Becker
- Department of Clinical Gerontology, Robert-Bosch-Hospital
- Judith Garcia-Aymerich
- ISGlobal
- Letizia Leocani
- Department of Neurology, San Raffaele University
- Claudia Mazzà
- Insigneo Institute, Department of Mechanical Engineering, University of Sheffield
- Lynn Rochester
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University
- Basil Sharrack
- Department of Neuroscience and Sheffield NIHR Translational Neuroscience BRC, Sheffield Teaching Hospitals NHS Foundation Trust & University of Sheffield
- Anja Frei
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich
- Milo Puhan
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich
- Mobilise-D
- DOI
- https://doi.org/10.1038/s41746-021-00513-5
- Journal volume & issue
-
Vol. 4,
no. 1
pp. 1 – 14
Abstract
Abstract Physical mobility is essential to health, and patients often rate it as a high-priority clinical outcome. Digital mobility outcomes (DMOs), such as real-world gait speed or step count, show promise as clinical measures in many medical conditions. However, current research is nascent and fragmented by discipline. This scoping review maps existing evidence on the clinical utility of DMOs, identifying commonalities across traditional disciplinary divides. In November 2019, 11 databases were searched for records investigating the validity and responsiveness of 34 DMOs in four diverse medical conditions (Parkinson’s disease, multiple sclerosis, chronic obstructive pulmonary disease, hip fracture). Searches yielded 19,672 unique records. After screening, 855 records representing 775 studies were included and charted in systematic maps. Studies frequently investigated gait speed (70.4% of studies), step length (30.7%), cadence (21.4%), and daily step count (20.7%). They studied differences between healthy and pathological gait (36.4%), associations between DMOs and clinical measures (48.8%) or outcomes (4.3%), and responsiveness to interventions (26.8%). Gait speed, step length, cadence, step time and step count exhibited consistent evidence of validity and responsiveness in multiple conditions, although the evidence was inconsistent or lacking for other DMOs. If DMOs are to be adopted as mainstream tools, further work is needed to establish their predictive validity, responsiveness, and ecological validity. Cross-disciplinary efforts to align methodology and validate DMOs may facilitate their adoption into clinical practice.
