Objective: To evaluate the usability and feasibility of an improved PRIMS, an automated video-based Parkinson’s motor assessment, based on iterative user feedback from individuals with Parkinson’s disease and their caregivers.

Background: Automating Parkinson’s motor and non-motor assessments is increasingly relevant due to the need for remote monitoring, advanced therapeutic options, limited clinical time, and rising prevalence. PRIMS follows the MDS-UPDRS Part III structure, ensuring accessibility for physicians and researchers. Initial usability testing identified challenges in navigation, instructional clarity, and real-time feedback [1], leading to key front-end improvements, including a more intuitive interface and enhanced guidance.

Method: User feedback was collected in a study approved by the National Research Council of Canada Institutional Review Board (2021-137) and compared with prior PRIMS feedback. Ten participants (eight individuals with Parkinson’s, two caregivers) were recruited. Participants completed a PRIMS assessment, MDS-UPDRS Part III evaluation, cognitive testing, and demographic collection. Caregivers observed assessments, and all participants completed acceptability, feasibility, and appropriateness measures [2].

Results: This study evaluates the latest PRIMS version’s usability. We demonstrate how initial user feedback informed system refinements, enhancing feasibility for research and clinical applications. We aim to present a comparative analysis of the updated system versus its previous version, assessing usability and functionality improvements.

Conclusion: Integrating user feedback significantly improved PRIMS’ usability and feasibility for Parkinson’s motor assessments. These refinements support PRIMS as a scalable, automated clinical tool. Future studies will evaluate real-world implementation and accuracy.

References: [1] Bridges B, Taylor J, Weber JT. Evaluation of the Parkinson’s Remote Interactive Monitoring System in a Clinical Setting: Usability Study, JMIR Hum Factors 2024;11:e54145
[2]. Weiner, B. J., Lewis, C. C., Stanick, C., Powell, B. J., Dorsey, C. N., Clary, A. S., … & Halko, H. (2017). Psychometric assessment of three newly developed implementation outcome measures. Implementation Science, 12(1), 108

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MDS Abstracts - https://www.mdsabstracts.org/abstract/enhancing-usability-of-prims-a-video-based-automated-parkinsons-motor-assessment-informed-by-user-feedback/