Objective: To prospectively evaluate the feasibility, usability, and data quality of a video-based motor assessment platform (PRIMS) in a clinic setting, and to examine agreement with clinician-rated MDS-UPDRS Part III assessments.

Background: The MDS-UPDRS Part III remains the gold standard for motor evaluation in PD, yet inter-rater reliability varies significantly across items depending on the task and rater experience [1], limiting sensitivity to clinically meaningful motor changes. Video-based assessment offers a standardized and scalable alternative, supporting remote and centralized review [2], but there is limited prospective evaluation of such workflows in real-world clinical settings.

Method: 60 participants with PD will be recruited from a movement disorder clinic and will undergo parallel assessments using the MDS-UPDRS Part III and PRIMS. Data quality will be assessed to ensure consistent capture of each motor item across participants. A comparative analysis will be conducted between PRIMS-derived motor metrics and clinician-rated MDS-UPDRS scores. The System Usability Scale (SUS) will be used to assess the participant and clinician experience with the platform.

Results: Data collection is expected to be completed prior to the conference presentation. Protocol feasibility will be considered demonstrated if more than 80% of enrolled participants complete the assessment during their appointment. Data quality will be considered acceptable if more than 85% of recordings yield analyzable output. A SUS score above 68 will be interpreted as above-average usability. Findings on feasibility, usability, and agreement will be presented.

Conclusion: This prospective protocol will generate clinical evidence on whether PRIMS can be implemented reliably in the clinic, produce consistently analyzable task data, and be acceptable to both patients and clinicians. Findings will inform readiness for larger validation studies and the potential role of PRIMS as a scalable alternative to in-person motor assessments in PD.

References: [1] Jha, A., Menozzi, E., Oyekan, R. et al. The CloudUPDRS smartphone software in Parkinson’s study: cross-validation against blinded human raters. npj Parkinsons Dis. 2020;6,36.
[2] Stillerova, T., Liddle, J., Gustafsson, L., Lamont, R., & Silburn, P. Remotely assessing symptoms of Parkinson’s disease using videoconferencing: a feasibility study. Neurology Research International. 2016;1–8.

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MDS Abstracts - https://www.mdsabstracts.org/abstract/prospective-evaluation-of-a-video-based-motor-assessment-workflow-feasibility-usability-and-data-quality/