Related Experiment Video
Updated: May 24, 2026

04:57
Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Surrogate decision makers' interpretation of prognostic information: a mixed-methods study.
Lucas S Zier1, Peter D Sottile, Seo Yeon Hong
1University of California, San Francisco, San Francisco, California 94143-0119, USA.
Annals of Internal Medicine
|March 7, 2012
Summary
Surrogate decision makers often interpret grim prognostic information with optimistic bias. This bias stems from a need for optimism and belief in unknown patient factors, not just misunderstanding.
Area of Science:
- Medical decision-making
- Prognostication in advanced illness
- Health communication
Background:
- Surrogate decision makers for patients with advanced illness frequently exhibit overly optimistic prognostic expectations.
- The reasons behind these optimistic expectations remain poorly understood.
Purpose of the Study:
- To investigate how surrogates interpret prognostic statements.
- To identify factors influencing surrogate interpretation of grim prognostic information.
Main Methods:
- A multicenter, mixed-methods study involving 80 surrogates of critically ill patients in intensive care units.
- Surrogates interpreted 16 prognostic statements using a probability scale, with generalized estimating equations analyzing interpretation trends.
- Semistructured interviews were conducted with 15 surrogates exhibiting optimistic interpretation trends.
Main Results:
- Surrogates accurately interpreted statements with low risk of death but showed optimistic bias for high-risk statements (P < 0.001).
- Interpretations of a "5% chance of surviving" statement were highly variable and optimistic (median 90%) compared to the actual 5% (P < 0.001).
- Interviews revealed two themes: surrogates' need for optimism and belief in unobserved patient factors influencing outcomes.
Conclusions:
- Surrogates' optimistic bias in interpreting prognostications is a significant factor, beyond simple misunderstanding.
- Findings highlight the psychological and cognitive factors influencing surrogate decision-making in critical care.
- Study limitations include eliciting interpretations in an experimental setting, not during actual clinical conversations.
Related Concept Videos
Cancer Survival Analysis
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
Kaplan-Meier Approach
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
Comparing the Survival Analysis of Two or More Groups
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Decision Making: P-value Method
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can have a...