Prognostic Estimates Among ICU Clinicians
This study is looking at how well intensive care unit (ICU) doctors, nurses, and other providers can predict a patient's chance of dying within one year after being on a breathing machine (mechanical ventilation) for at least 14 days. It's testing if using a tool called the ProVent-14 score helps clinicians make more accurate predictions. The ProVent-14 score uses information gathered on the 14th day of mechanical ventilation to estimate this risk. You could be eligible if you are an ICU day-shift attending physician, fellow physician, advanced practice provider, or nurse directly caring for a patient on a breathing machine for 14-16 days, who is not actively moving towards comfort care or has a neuromuscular disease.
- Study design
- This is an interventional study with a planned enrollment of 238 participants. It aims to compare predictions made by clinicians who receive the ProVent-14 score with those who do not.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- The study measures the accuracy of one-year mortality rate predictions, so participants are followed for one year after enrollment.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Prognostic Estimates Among ICU Clinicians
At a glance
Conditions
Where it's being run
3 sites across 2 statesWho to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Accuracy of one-year mortality rate predictionsOne-year after participant enrollment
Associations between participant predictions (0-100% risk of death) and patient outcomes (death or not) will be determined using logistic regression. Accuracy will be determined by Area Under the Receiver Operating Characteristic (AUROC) analysis.