Roussos, George;
Herrero, Teresa Ruiz;
Hill, Derek L;
Dowling, Ariel;
Muller, Martijn LTM;
Evers, Luc JW;
Burton, Jackson;
... Cosman, Josh; + view all
(2022)
Identifying and characterising sources of variability in digital outcome measures in Parkinson's disease.
npj Digital Medicine
, 5
(1)
, Article 93. 10.1038/s41746-022-00643-4.
Preview |
PDF
Identifying and characterising sources of variability in digital outcome measures in Parkinsons disease.pdf - Other Download (1MB) | Preview |
Abstract
Smartphones and wearables are widely recognised as the foundation for novel Digital Health Technologies (DHTs) for the clinical assessment of Parkinson’s disease. Yet, only limited progress has been made towards their regulatory acceptability as effective drug development tools. A key barrier in achieving this goal relates to the influence of a wide range of sources of variability (SoVs) introduced by measurement processes incorporating DHTs, on their ability to detect relevant changes to PD. This paper introduces a conceptual framework to assist clinical research teams investigating a specific Concept of Interest within a particular Context of Use, to identify, characterise, and when possible, mitigate the influence of SoVs. We illustrate how this conceptual framework can be applied in practice through specific examples, including two data-driven case studies.
| Type: | Article |
|---|---|
| Title: | Identifying and characterising sources of variability in digital outcome measures in Parkinson's disease |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1038/s41746-022-00643-4 |
| Publisher version: | https://doi.org/10.1038/s41746-022-00643-4 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Health Care Sciences & Services, Medical Informatics, MDS-UPDRS, SMARTPHONES |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10174544 |
Loading...
Loading...Loading...Loading...Archive Staff Only
 |
View Item |
