Antibiotic overprescribing is a global challenge contributing to rising levels of antibiotic resistance and mortality. We test a novel approach to antibiotic stewardship. Capitalising on the concept of "wisdom of crowds", which states that a group's collective judgement often outperforms the average individual, we test whether pooling treatment durations recommended by different prescribers can improve antibiotic prescribing. Using international survey data from 787 expert antibiotic prescribers, we run computer simulations to test the performance of the wisdom of crowds by comparing three data aggregation rules across different clinical cases and group sizes. We also identify patterns of prescribing bias in recommendations about antibiotic treatment durations to quantify current levels of overprescribing. Our results suggest that pooling the treatment recommendations (using the median) could improve guideline compliance in groups of three or more prescribers. Implications for antibiotic stewardship and the general improvement of medical decision making are discussed. Clinical applicability is likely to be greatest in the context of hospital ward rounds and larger, multidisciplinary team meetings, where complex patient cases are discussed and existing guidelines provide limited guidance.
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http://dx.doi.org/10.1038/s41598-020-75063-z | DOI Listing |
Psychon Bull Rev
January 2025
Department of Psychology, University of Marburg, Marburg, Germany.
Sequential collaboration describes the incremental process of contributing to online collaborative projects such as Wikipedia and OpenStreetMap. After a first contributor creates an initial entry, subsequent contributors create a sequential chain by deciding whether to adjust or maintain the latest entry which is updated if they decide to make changes. Sequential collaboration has recently been examined as a method for eliciting numerical group judgments.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Earth and Environment, Institute of Environment, Florida International University, Miami, FL, USA.
Perception
December 2024
Palacký University Olomouc, Czech Republic.
For unfamiliar faces, deciding whether two photographs depict the same person or not can be difficult. One way to substantially improve accuracy is to defer to the 'wisdom of crowds' by aggregating responses across multiple individuals. However, there are several methods available for doing this.
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February 2025
Institut Jean Nicod, Département d'études cognitives, ENS, EHESS, PSL University, CNRS, France. Electronic address:
Are people who agree on something more likely to be right and competent? Evidence suggests that people tend to make this inference. However, standard wisdom of crowds approaches only provide limited normative grounds. Using simulations and analytical arguments, we argue that when individuals make independent and unbiased estimates, under a wide range of parameters, individuals whose answers converge with each other tend to have more accurate answers and to be more competent.
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November 2024
Department of Psychology, University of Pennsylvania, 3720 Walnut St, Philadelphia, PA 19104, USA.
Human forecasting accuracy improves through the "wisdom of the crowd" effect, in which aggregated predictions tend to outperform individual ones. Past research suggests that individual large language models (LLMs) tend to underperform compared to human crowd aggregates. We simulate a wisdom of the crowd effect with LLMs.
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