Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes
Creators
- Polhemus, Ashley1
- Ortiz, Laura Delgado2
- Brittain, Gavin3
- Chynkiamis, Nikolaos4
- Salis, Francesca5
- Gaßner, Heiko6
- Gross, Michaela7
- Kirk, Cameron8
- Rossanigo, Rachele5
- Taraldsen, Kristin9
- Balta, Diletta10
- Breuls, Sofie11
- Buttery, Sara12
- Cardenas, Gabriela2
- Endress, Christoph7
- Gugenhan, Julia7
- Keogh, Alison13
- Kluge, Felix14
- Koch, Sarah2
- Micó-Amigo, M. Encarna8
- Nerz, Corinna7
- Sieber, Chloé1
- Williams, Parris12
- Bergquist, Ronny9
- de Basea, Magda Bosch2
- Buckley, Ellen15
- Hansen, Clint16
- Mikolaizak, A. Stefanie7
- Schwickert, Lars7
- Scott, Kirsty15
- Stallforth, Sabine6
- van Uem, Janet16
- Vereijken, Beatrix9
- Cereatti, Andrea17
- Demeyer, Heleen18
- Hopkinson, Nicholas12
- Maetzler, Walter16
- Troosters, Thierry11
- Vogiatzis, Ioannis4
- Yarnall, Alison8
- Becker, Clemens7
- Garcia-Aymerich, Judith19
- Leocani, Letizia20
- Mazzà, Claudia15
- Rochester, Lynn8
- Sharrack, Basil3
- Frei, Anja1
- Puhan, Milo1
- 1. Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
- 2. ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Barcelona, Spain
- 3. Department of Neuroscience and Sheffield NIHR Translational Neuroscience BRC, Sheffield Teaching Hospitals NHS Foundation Trust & University of Sheffield, Sheffield, England
- 4. Department of Sport, Exercise and Rehabilitation, Faculty of Health and Life Sciences, Northumbria University Newcastle, Newcastle, UK
- 5. Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- 6. Department of Molecular Neurology, University Hospital Erlangen, Erlangen, Germany
- 7. Department of Clinical Gerontology, Robert-Bosch-Hospital, Stuttgart, Germany
- 8. Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- 9. Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- 10. Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy
- 11. Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium; Department of Respiratory Diseases, University hospitals Leuven, Leuven, Belgium
- 12. National Heart and Lung Institute, Imperial College London, London, UK
- 13. Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland
- 14. Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
- 15. Insigneo Institute, Department of Mechanical Engineering, University of Sheffield, Sheffield, UK
- 16. Department of Neurology, University Medical Center Schleswig-Holstein, Kiel, Germany
- 17. Department of Biomedical Sciences, University of Sassari, Sassari, Italy; Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy
- 18. Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium; Department of Respiratory Diseases, University hospitals Leuven, Leuven, Belgium; Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium
- 19. ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain;CIBER Epidemiología y Salud Pública, Barcelona, Spain
- 20. Department of Neurology, San Raffaele University, Milan, Italy
Description
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.
This work was supported by the Mobilise-D project that has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 820820. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation program and the European Federation of Pharmaceutical Industries and Associations (EFPIA). Content in this publication reflects the authors’ view and neither IMI nor the European Union, EFPIA, or any Associated Partners are responsible for any use that may be made of the information contained herein.
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- Other: 10.5281/zenodo.12623023 (DOI)