Related Experiment Video
Updated: Aug 2, 2026

11:27
A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn
Published on: April 7, 2023
Certainty and mortality prediction in critically ill children.
J P Marcin1, R K Pretzlaff, M M Pollack
1Department of Pediatrics, Section of Critical Care Medicine, University of California-Davis, UC Davis Children's Hospital, 2516 Stockton Boulevard, Sacramento, CA 95817, USA. jpmarcin@ucdavis.edu
Journal of Medical Ethics
|June 3, 2004
Summary
Physician confidence in mortality predictions influences their stated prognosis. Less confident prognoses often fall in the intermediate range, impacting patient care decisions.
Area of Science:
- Pediatric Critical Care Medicine
- Clinical Decision-Making
- Medical Prognostication
Background:
- Physician's subjective mortality predictions are crucial for patient management in pediatric intensive care.
- Understanding the interplay between prediction accuracy and confidence is vital for refining prognostic assessments.
Purpose of the Study:
- To investigate the relationship between physician's subjective mortality predictions and their confidence levels in pediatric intensive care unit (ICU) patients.
- To determine if confidence in prognostication varies with the predicted mortality risk.
Main Methods:
- Prospective cohort study of pediatric ICU patients (<18 years).
- Physicians provided mortality risk predictions and confidence levels within 24 hours of admission.
- Median confidence levels were compared across different mortality risk prediction ranges.
Main Results:
- Physicians expressed significantly less confidence in mortality predictions between 5% and 95%.
- Predictions <5% and >95% were associated with higher confidence levels.
- Physician experience correlated positively with increased confidence in prognostication.
Conclusions:
- Physician confidence significantly impacts subjective mortality predictions, with lower confidence leading to intermediate risk assessments.
- Assessing physician confidence alongside mortality predictions is essential for understanding potential biases in therapeutic planning.
- Confidence levels in prognostic assessments may influence clinical decision-making and future patient outlooks.