Pediatric Palliative Care

The goal of this trial is to determine the effectiveness of a machine-learning (ML) model predicting a serious cardiac event within the next three months, when compared pre- versus post-deployment, in pediatric cardiac inpatients. The main questions it aims to answer are whether deployment of the ML model: 1. Increases PACT consultation within the next three months among admissions without PACT involvement in the previous 100 days 2. Increases PACT consultation or visit within the next three months among those who experience a serious cardiac event during this period 3. Decreases time to PACT consultation or visit among those seen by PACT during this period 4. Decreases the incidence of death in the intensive care unit (ICU) 5. Increases documentation of goals of care High-risk cardiology patients will be identified by an ML model each morning. If the patient has been seen by the PACT team within the past year, the update will go to the PACT team members. If the patient hasn't been seen by the PACT team, the email will be sent to the cardiology physician in charge of the patient. This physician will decide whether a PACT consultation is necessary based on their clinical judgment. If so, a referral will be made using the usual process. Outcomes of the identified patients will be compared pre- and post-deployment.

This study aims to examine the effect of Watson Human Care Theory and Acceptance and Commitment Therapy-based counseling program applied to parents of pediatric palliative care patients on value-oriented living and care burden.

This study aims to analyze the role of the hospital node in the acute event management of pediatric patients referred to Pediatric Palliative Care. Patients eligible for pediatric palliative care experience frequent hospitalizations. In oncology patients, hospitalizations are mainly for the treatment of the disease and the performance of diagnostic and/or therapeutic procedures, whereas in the case of non-oncology children, admissions occur particularly for the occurrence of complications, which may affect different organs and systems. Hospitalization times are on average longer, so much so that in some cases they can even exceed 100 consecutive days, and have a high risk of re-hospitalization.