Related Experiment Video
Updated: Feb 27, 2026
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Debiasing Health-Related Judgments and Decision Making: A Systematic Review
Ramona Ludolph1, Peter J Schulz1
1Institute of Communication and Health, Faculty of Communication Sciences, University of Lugano (Università della Svizzera italiana), Lugano, Switzerland (RL, PJS).
Background:
Being confronted with uncertainty in the context of health-related judgments and decision making can give rise to the occurrence of systematic biases. These biases may detrimentally affect lay persons and health experts alike. Debiasing aims at mitigating these negative effects by eliminating or reducing the biases. However, little is known about its effectiveness. This study seeks to systematically review the research on health-related debiasing to identify new opportunities and challenges for successful debiasing strategies.
Methods:
A systematic search resulted in 2748 abstracts eligible for screening. Sixty-eight articles reporting 87 relevant studies met the predefined inclusion criteria and were categorized and analyzed with regard to content and quality. All steps were undertaken independently by 2 reviewers, and inconsistencies were resolved through discussion.
Results:
The majority of debiasing interventions ( n = 60) was at least partially successful. Optimistic biases ( n = 25), framing effects ( n = 14), and base rate neglects ( n = 10) were the main targets of debiasing efforts. Cognitive strategies ( n = 36) such as "consider-the-opposite" and technological interventions ( n = 33) such as visual aids were mainly tested. Thirteen studies aimed at debiasing health care professionals' judgments, while 74 interventions addressed the general population. Studies' methodological quality ranged from 26.2% to 92.9%, with an average rating of 68.7%.
Discussion:
In the past, the usefulness of debiasing was often debated. Yet most of the interventions reviewed here are found to be effective, pointing to the utility of debiasing in the health context. In particular, technological strategies offer a novel opportunity to pursue large-scale debiasing outside the laboratory. The need to strengthen the transfer of debiasing interventions to real-life settings and a lack of conceptual rigor are identified as the main challenges requiring further research.
More Related Videos
07:05Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
Published on: September 10, 2018
08:24The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
Published on: August 25, 2023
Related Concept Videos
01:27Halo Effect
01:29Bias in Epidemiological Studies
01:20Decision Making
Automatic decision-making is fast, intuitive, and relies on gut feelings...
01:14Decision Making: Traditional Method
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
01:09Decision Making: P-value Method
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...