This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
The goal of this clinical trial is to learn whether noise-augmented feedback using automatic speech recognition improves intelligibility and social participation in individuals with Parkinson's disease. The main questions the investigators will address are: Does noise-augmented feedback lead to increased intelligibility, as measured by transcription accuracy scores? Does a self-managed speech protocol lead to increased social participation, as measured by the Communicative Participation Item Bank and the Communicative Effectiveness Index questionnaires? Participants will: Receive 2-4 initial speech assessments in-person in our lab. Engage in speech treatment sessions at home using their phone and computer four days a week for four weeks. Four of those sessions will be directly monitored online by a speech-language pathologist. The rest of the sessions are completed by the participant. Come to the lab for two post-treatment assessments following completion of treatment. Come to the lab six months after treatment completion for an additional assessment.
Understand Me for Life: Using Noise-augmented Automatic Speech Recognition to Improve Intelligibility in Parkinson's Disease
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: Teachers College, Columbia University
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.