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      Harnessing the wisdom of crowds can improve guideline compliance of antibiotic prescribers and support antimicrobial stewardship

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          Abstract

          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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          Interventions to improve antibiotic prescribing practices for hospital inpatients.

          Antibiotic resistance is a major public health problem. Infections caused by multidrug-resistant bacteria are associated with prolonged hospital stay and death compared with infections caused by susceptible bacteria. Appropriate antibiotic use in hospitals should ensure effective treatment of patients with infection and reduce unnecessary prescriptions. We updated this systematic review to evaluate the impact of interventions to improve antibiotic prescribing to hospital inpatients.
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            Unnecessary use of antimicrobials in hospitalized patients: current patterns of misuse with an emphasis on the antianaerobic spectrum of activity.

            Unnecessary use of antimicrobials contributes to the emergence and dissemination of antimicrobial-resistant nosocomial pathogens in part through elimination of normal anaerobic bacterial flora that inhibit overgrowth of pathogenic microorganisms. A prospective observational study was conducted in a 650-bed, university-affiliated hospital. All adult nonintensive care inpatients for whom new antimicrobials were prescribed during a 2-week period were monitored throughout their hospitalization. We examined how often antimicrobials, in particular those with antianaerobic activity, were used unnecessarily. The reasons for unnecessary therapy were assessed and common patterns of unnecessary use were identified. A total of 1941 antimicrobial days of therapy were prescribed for 129 patients. A total of 576 (30%) of the 1941 days of therapy were deemed unnecessary. The most common reasons for unnecessary therapy included administration of antimicrobials for longer than recommended durations (192 days of therapy), administration of antimicrobials for noninfectious or nonbacterial syndromes (187 days of therapy), and treatment of colonizing or contaminating microorganisms (94 days of therapy). Antianaerobic agents accounted for 203 (35%) of the 576 unnecessary antimicrobial days of therapy, and these agents were also frequently prescribed (98 days of therapy) when equally efficacious alternative regimens with minimal antianaerobic activity were available. In our institution, hospitalized patients frequently received unnecessary antimicrobial therapy, and antianaerobic agents were often prescribed when this spectrum of activity was not indicated.
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              Intuitions About Combining Opinions: Misappreciation of the Averaging Principle

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                Author and article information

                Journal
                Scientific Reports
                Sci Rep
                Springer Science and Business Media LLC
                2045-2322
                December 2020
                November 02 2020
                December 2020
                : 10
                : 1
                Article
                10.1038/s41598-020-75063-z
                5f6d3449-35c2-4872-b3a3-c26cfb5be77b
                © 2020

                https://creativecommons.org/licenses/by/4.0

                https://creativecommons.org/licenses/by/4.0

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