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 study is to learn how genomic sequencing technology can be used to effectively expand the conditions screened on newborn screening. Newborn screening ensures equity and allows all babies to have the same chance at the healthiest life. Families will be invited to have their newborn baby screened for additional conditions beyond what all babies are screened for as part of the newborn screening public health program. Families can choose to be part of the study or choose not to be part of the study and just have the routine newborn screening test. Families will also be able to choose to learn about their baby's risk for conditions that have effective treatments available but are not on the routine newborn screening panel or also learn about conditions for which there is not currently FDA approved medications but for which medications are under development or for which early intervention services or treatment of seizures may improve the child's outcome. Families will be invited to the study shortly after the baby is born and will learn the decision not to participate, and we will interview a subset of parents who agree to be interviewed. Newborns who screen positive will be referred to appropriate providers for care and will be followed through review of electronic medical records and parental follow up via phone, text, postal mail or email.
Genomic Uniformed-Screening Against Rare Disease In All Newborns
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: 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.