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      Patient Preference and Adherence (submit here)

      This international, peer-reviewed Open Access journal by Dove Medical Press focuses on the growing importance of patient preference and adherence throughout the therapeutic process. Sign up for email alerts here.

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      Is Open Access

      Herding: a new phenomenon affecting medical decision-making in multiple sclerosis care? Lessons learned from DIScUTIR MS

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          Abstract

          Purpose

          Herding is a phenomenon by which individuals follow the behavior of others rather than deciding independently on the basis of their own private information. A herding-like phenomenon can occur in multiple sclerosis (MS) when a neurologist follows a therapeutic recommendation by a colleague even though it is not supported by best practice clinical guidelines. Limited information is currently available on the role of herding in medical care. The objective of this study was to determine the prevalence (and its associated factors) of herding in the management of MS.

          Methods

          We conducted a study among neurologists with expertise in MS care throughout Spain. Participants answered questions regarding the management of 20 case scenarios commonly encountered in clinical practice and completed 3 surveys and 4 experimental paradigms based on behavioral economics. The herding experiment consisted of a case scenario of a 40-year-old woman who has been stable for 3 years on subcutaneous interferon and developed a self-limited neurological event. There were no new magnetic resonance imaging (MRI) lesions. Her neurological examination and disability scores were unchanged. She was advised by an MS neurologist to switch from interferon to fingolimod against best practice guidelines. Multivariable logistic regression analysis was conducted to evaluate factors associated with herding.

          Results

          Out of 161 neurologists who were invited to participate, 96 completed the study (response rate: 60%). Herding was present in 75 (78.1%), having a similar prevalence in MS experts and general neurologists (68.8% vs 82.8%; P=0.12). In multivariate analyses, the number of MS patients seen per week was positively associated with herding (odds ratio [OR] 1.08, 95% CI 1.01–1.14). Conversely, physician’s age, gender, years of practice, setting of practice, or risk preferences were not associated with herding.

          Conclusion

          Herding was a common phenomenon affecting nearly 8 out of 10 neurologists caring for MS patients. Herding may affect medical decisions and lead to poorer outcomes in the management of MS.

          Most cited references20

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          Extraneous factors in judicial decisions.

          Are judicial rulings based solely on laws and facts? Legal formalism holds that judges apply legal reasons to the facts of a case in a rational, mechanical, and deliberative manner. In contrast, legal realists argue that the rational application of legal reasons does not sufficiently explain the decisions of judges and that psychological, political, and social factors influence judicial rulings. We test the common caricature of realism that justice is "what the judge ate for breakfast" in sequential parole decisions made by experienced judges. We record the judges' two daily food breaks, which result in segmenting the deliberations of the day into three distinct "decision sessions." We find that the percentage of favorable rulings drops gradually from ≈ 65% to nearly zero within each decision session and returns abruptly to ≈ 65% after a break. Our findings suggest that judicial rulings can be swayed by extraneous variables that should have no bearing on legal decisions.
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            Social influence bias: a randomized experiment.

            Our society is increasingly relying on the digitized, aggregated opinions of others to make decisions. We therefore designed and analyzed a large-scale randomized experiment on a social news aggregation Web site to investigate whether knowledge of such aggregates distorts decision-making. Prior ratings created significant bias in individual rating behavior, and positive and negative social influences created asymmetric herding effects. Whereas negative social influence inspired users to correct manipulated ratings, positive social influence increased the likelihood of positive ratings by 32% and created accumulating positive herding that increased final ratings by 25% on average. This positive herding was topic-dependent and affected by whether individuals were viewing the opinions of friends or enemies. A mixture of changing opinion and greater turnout under both manipulations together with a natural tendency to up-vote on the site combined to create the herding effects. Such findings will help interpret collective judgment accurately and avoid social influence bias in collective intelligence in the future.
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              Scoring treatment response in patients with relapsing multiple sclerosis.

              We employed clinical and magnetic resonance imaging (MRI) measures in combination, to assess patient responses to interferon in multiple sclerosis.
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                Author and article information

                Journal
                Patient Prefer Adherence
                Patient Prefer Adherence
                Patient Preference and Adherence
                Patient preference and adherence
                Dove Medical Press
                1177-889X
                2017
                31 January 2017
                : 11
                : 175-180
                Affiliations
                [1 ]Division of Neurology, Department of Medicine, St Michael’s Hospital, University of Toronto, Toronto, ON, Canada
                [2 ]Laboratory for Social and Neural Systems Research, Department of Economics, University of Zurich, Zurich, Switzerland
                [3 ]Li Ka Shing Knowledge Institute, St Michael’s Hospital, University of Toronto, Toronto, ON, Canada
                [4 ]Neuroscience Area, Medical Department, Roche Farma, Madrid
                [5 ]Department of Neurology, Hospital General Universitario de Alicante, Alicante, Spain
                Author notes
                Correspondence: Gustavo Saposnik, Division of Neurology, Department of Medicine, St Michael’s Hospital, University of Toronto, 55 Queen Street East, Toronto, ON M5C 1R6, Canada, Tel +1 416 864 5155, Fax +1 416 864 5150, Email saposnikg@ 123456smh.ca
                Article
                ppa-11-175
                10.2147/PPA.S124192
                5293495
                28203061
                6e7faf7e-b804-487c-84c3-abdbe6e1d854
                © 2017 Saposnik et al. This work is published and licensed by Dove Medical Press Limited

                The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

                History
                Categories
                Original Research

                Medicine
                multiple sclerosis,herding,disease-modifying therapy,neuroeconomics,decision-making,risk aversion

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