In decision making under risk, where the consequences of choices vary depending on specific probabilities, a proper interpretation of the presented probabilities is essential. However, because people are not good at evaluating numerical values, such as percentages, efforts have been made to accurately convey presented probabilities using visual aids represented by icon arrays. However, previous studies have suggested that icon arrays produce an overestimation of probabilities under specific conditions. Especially, (a) the arrangement of highlighted icons and (b) the severity of the outcomes represented by highlighted icons can lead to an overestimation of probabilities. By considering the absolute estimation of probabilities indicated by icon arrays and manipulating the aforementioned factors, this study investigated whether these factors could elicit an overestimation of probabilities in an additive manner or whether they have interactive effects. Two studies (total N = 1171) consistently showed that the arrangement of highlighted icons and the outcome severity they indicate induced a perceptual bias in the estimation of the probabilities presented in icon arrays in an additive manner. When the highlighted icons were random and the outcomes they indicate were severe, the probabilities presented by the icon arrays were overestimated. Accordingly, the study not only confirms the robustness of the findings of previous studies but also expand our understanding of the probability overestimation caused by icon arrays. Here, we discuss our findings in terms of the impact of risk-related communication.
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http://dx.doi.org/10.1016/j.actpsy.2024.104352 | DOI Listing |
Med Decis Making
December 2024
Department of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands.
Objective: Patient decision aids (PtDAs) can support shared decision making. We aimed to explore how inclusive PtDAs are for people with limited health literacy (LHL) by analyzing 1) the understandability of PtDAs using established criteria, 2) how options and probabilities of outcomes are communicated, and 3) the extent to which risk communication (RC) guidelines are followed.
Methods: In a descriptive document analysis, we analyzed Dutch PtDAs available in 2021 that met the International Patient Decision Aid Standards.
Front Immunol
December 2024
Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy.
Background: Hidradenitis suppurativa (HS) is a chronic inflammatory skin condition that affects hair follicles in areas with apocrine sweat glands, such as the underarms, groin, and buttocks. The pathogenesis of HS is not fully understood, but considering the key role played by the biological clock in the control of immune/inflammatory processes the derangement of circadian and ultradian pathways could be hypothesized.
Methods: We analyzed genome-wide DNA methylation patterns in peripheral blood from 24 HS cases and 24 controls using the Infinium HumanMethylation450 BeadChip array (Illumina), followed by bioinformatics and statistical analyses.
Cancer Med
December 2024
Karl Landsteiner Institut für Lungenforschung und Pneumologische Onkologie, Vienna, Austria.
Background: Recent results from the Dutch NELSON study have rekindled debates about the benefit-to-harm ratio of lung cancer screening and the comprehension of this by physicians.
Methods: This research surveyed the perception and understanding of 136 Austrian physicians regarding the advantages and risks of lung cancer screening, examining the impact of educational data visualization tools, including fact box and icon array. Physicians participated in an online survey about their understanding before and after exposure to either a fact box alone or combined with an icon array.
Curr Oncol
November 2024
Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Radiology, Hindenburgdamm 30, 12203 Berlin, Germany.
Prostate Imaging Reporting and Data System version 2.1 (PI-RADS) category 3 lesions are a challenge in the clinical workflow. A better detection of the infrequently occurring clinically significant prostate cancer (csPCa) in PI-RADS 3 lesions is an important objective.
View Article and Find Full Text PDFInt J Med Inform
February 2025
Department of Cognitive Science, Graduate School of Informatics, Middle East Technical University, Turkey. Electronic address:
Introduction: Both predictions and performance of clinical predictive models can be presented with various verbal and visual representations. This study aims to investigate how different risk and performance presentations for probabilistic predictions affect clinical users' judgement and preferences.
Methods: We use a clinical Bayesian Network (BN) model that has been developed for predicting the risk of Trauma Induced Coagulopathy (TIC).
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