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 prospective, unblinded, pragmatic and repeated crossover trial is to learn if clinical decision support alerts will impact postoperative nausea and vomiting (PONV) prophylaxis and reduce PONV rates in adult and pediatric patients who have planned surgery with general anesthesia. The main aim is to improve PONV, establishing a scalable Clinical Decision Support (CDS) Tool for personalized PONV prevention. The primary hypothesis is that, compared with standard care, the Anesthesia Workflow-Driven Clinical Decision Support Tool for Personalized PONV Prevention will be associated with a significant improvement in the rate of appropriate administration of PONV prophylaxis and a significant decrease in the incidence of PONV. This study will evaluate a new clinical decision support (CDS) tool designed to improve how and when PONV prevention strategies are used. Unlike traditional tools that provide generic, one-time alerts, this new system is integrated into the electronic health record (EHR) and delivers timely, targeted reminders to anesthesia providers at key moments during a patient's surgical care-such as before surgery begins, after anesthesia is given, and before the patient wakes up. These alerts are based on each patient's individual risk for PONV and are intended to support, not replace, clinical judgment. The study will use a crossover design over 12 months, alternating between periods when the tool is active and when it is not. The goal is to determine whether this time-sensitive, workflow-integrated tool can lead to better adherence to best practices and improved patient outcomes.
Advancing Strategies to Optimize the PerIopeRativE Management of PostOperative Nausea and Vomiting (ASPIRE-PONV) Trial
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.
Inclusion Criteria | Exclusion Criteria |
---|---|
|
|
Sponsor: Vanderbilt University Medical Center
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.