1241 - Supporting Upper Limb Myoelectric Pattern Recognition Prosthesis Rehabilitation: A Qualitative Analysis of Clinician Dashboard Preferences

Myoelectric pattern recognition (PR)-controlled prostheses are clinically accepted devices that can restore function for individuals with upper limb absence/loss. This project aims to evaluate a web-based dashboard technology designed to share real-world prosthesis use and training data with Occupational Therapists (OTs) and Certified Prosthetists (CPs). Ultimately, the Clinician Dashboard intends to improve the efficacy and effectiveness of myoelectric PR prosthesis training and everyday function among end-users.

Design: 36 semi-structured interviews were performed across four stakeholder groups: OTs, CPs, end-users with experience using myoelectric PR-controlled prostheses, and technology stakeholders. Participants were asked about their experience with myoelectric PR-controlled prostheses and then shown a prototype of the Clinician Dashboard to elicit feedback. The interviews were conducted virtually, recorded, and transcribed. Data were analyzed using inductive coding for thematic analysis.

Results: For OTs and CPs, three major themes, each with three subthemes, emerged. First, the dashboard provides insight into device function: (1a) device troubleshooting, (1b) socket and electrode fit, and (1c) confirmation of patient-reported use. Second, the dashboard informs clinicians about end-user function: (2a) provides longitudinal user and device performance feedback, (2b) device data and analytics assist during pre-prosthetic training, and (2c) user and therapist can set goals. Third, clinician workflow can be improved through dashboard design: (3a) simple to use, (3b) ease communication between clinicians and end-users, and (3c) clinicians want customization. OTs focused on the dashboard as a tool to assist with myoelectric prosthetic training, whereas CPs were concerned with data regarding the device. Both emphasized that optimal dashboard design could improve their respective workflows.

Conclusions: A greater understanding of OT and CP preferences for clinician dashboard technology provides insight into the respective priorities working with PR-end-users. Ultimately, the successful implementation of clinician dashboard technology will advance the goal of improving therapy outcomes and increasing device acceptance among end-users.