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 language outcome of children receiving cochlear implantation to address bilateral sensorineural hearing loss is more variable than that of typical hearing children. The research is focused upon development of neural predictive models based upon brain imaging to forecast language after cochlear implantation on the individual child level. The long-term goal is improving children's language by using predictive models to enable a custom "predict to prescribe" approach to intervene with more effective behavioral therapy for children at risk to develop poorer language. The investigators previously developed models for short term language outcome of English-learning implanted children. The aims of this study are to 1. Develop models able to predict long term outcome for English- learning and Spanish-learning children; and 2. To evaluate whether English-learning children predicted to achieve lower language based on the investigators' previously constructed models can demonstrate significant gains from Parent Implemented Communication Treatment (PICT). PICT is an intensive parent education program about strategies to improve children's communication.
Neural Prediction to Enhance Language Outcomes in Children With Cochlear Implant
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: Ann & Robert H Lurie Children's Hospital of Chicago
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