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.
Some children who are born very early or have other congenital conditions may develop severe, long-term lung problems that make them need to use a breathing machine to live at home. There are no studies that identify the best ways to monitor a home breathing machine or adjust its settings. Increasingly, healthcare systems are using information collected at home to make more informed decisions about a patient's healthcare treatment, which is called "remote patient monitoring". This study will ask whether using remote patient monitoring can provide more complete information to a child's team of doctors, nurses, and respiratory therapists to help a child's healthcare team and family make more informed decisions about a child's home ventilator care. The investigators are hypothesizing it can safely decrease the level of breathing support children need while also avoiding emergency and hospital care and supporting their growth, development, and participation in daily life.
Remote Monitoring to Optimize Ventilatory Support in Children With Invasive Home Mechanical Ventilation
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
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.