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Browse 5,960 clinical trials for multiple sclerosis. Find studies that match your criteria and connect with research centers.
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NCT04465214
Background: Many digital devices, such as smartphones and activity monitors, have sensors to collect and track health data. Researchers believe these devices may be able to transform the quality of clinical research and healthcare. They believe they may be able to help assess the symptoms, response to therapy, and quality of life of people with cancer. Objective: To collect data from people with cancer using an Apple iPhone alone or together with an Apple Watch in order to assess their symptoms and activity levels. Eligibility: People ages 18 years and over who have cancer and receiving treatment for their cancer in another NIH protocol Design: Participants will be screened with their medical records. Participants will have a baseline visit. They will have visits every 2 4 weeks based on the treatment protocol in which they are co-enrolled. Then they will have a follow-up visit 4 months after the baseline visit. Visits include: Medical history Physical exam Karnofsky Performance Scale/Eastern Cooperative Oncology Group performance status to see how their disease affects daily activities The study team will use an iPhone to collect data. This includes a 6-minute walk test and tests of hearing, reaction time, and cognitive status. Questionnaires If participants have an iPhone, an Apple Watch will be provided to them after training at the baseline visit. Continuous measurement of their activity will be recorded by the watch between 2 visits. They will wear the watch while they are on study. They will wear the watch while it is not being charged. They should charge the watch at night time. They will have the watch for 4 months.
NCT05913219
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.