What this Trial Is About

This study will be underpinned by the new MRC guidelines for developing a complex intervention with a participatory design methodology that uses evidence-based research and behaviour change models alongside COSMIN methodology for validating a measure. Research question: To what extent does gaitQ's smart cueing system improve people with long-term conditions including people with Parkinson's (PwP's) gait? Is it effective in the everyday environment? What factors are associated with good mobility? What is the impact of cueing on healthy people? Aims and objectives: To finalise the product development and evaluation comprising (1) algorithm refinement and (2) monitoring system development. To evaluate the reliability, concurrent validity, and potential for efficacy, as determined by responsiveness in response to the gaitQ product using gait data collected in laboratory environments. To prepare for market entry and NHS adoption: early economic modelling, pricing, marketing strategies, and early adopter partnerships. Design: Participatory design with testing for validity, reliability and responsiveness Participants: This will involve healthy people and people with long-term conditions affecting their movement, including people with Parkinson's \[PwP\]. Additional patient groups will be investigated, including stroke, and people with hip/knee injuries. Methods The Researchers will collect movement data using the gaitQ system, which monitors and cues, to both collect data and cue in the lab environment and investigate the reliability of the measure, concurrent validity of the metric to gold standard gait capture, the responsiveness of measures to the cueing system and usability for participants and clinical teams. To determine reliability, 60 participants will be invited to repeat testing on a second visit. Researchers will describe participants' conditions using standard questionnaires and their mobility and functioning. This study will be underpinned by the new MRC guidelines for developing a complex intervention with a participatory design methodology that uses evidence-based research and behaviour change models to identify intrinsic and extrinsic factors that contribute to a given outcome in a specific population.

Smart Wearable Device (gaitQ): Walk Better Project