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Understanding how new evidence influences practitioners’ beliefs regarding dry cow therapy: A Bayesian approach using probabilistic elicitation

Higgins, H, Mouncey, J, Nanjiani, I and Cook, Alasdair (2017) Understanding how new evidence influences practitioners’ beliefs regarding dry cow therapy: A Bayesian approach using probabilistic elicitation Preventive Veterinary Medicine, 139 (Part B). pp. 115-122.

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Abstract

This study used probabilistic elicitation and a Bayesian framework to quantitatively explore how logically practitioners’ update their clinical beliefs after exposure to new data. The clinical context was the efficacy of antibiotics versus teat sealants for preventing mammary infections during the dry period. While most practitioners updated their clinical expectations logically, the majority failed to draw sufficient strength from the new data so that their clinical confidence afterwards was lower than merited. This study provides quantitative insight into how practitioners’ update their beliefs. We discuss some of the psychological issues that may be faced by practitioners when interpreting new data. The results have important implications for evidence-based practice and clinical research in terms of the impact that new data may bring to the clinical community.

Item Type: Article
Subjects : Veterinary Medicine
Divisions : Faculty of Health and Medical Sciences > School of Veterinary Medicine
Authors :
NameEmailORCID
Higgins, HUNSPECIFIEDUNSPECIFIED
Mouncey, JUNSPECIFIEDUNSPECIFIED
Nanjiani, IUNSPECIFIEDUNSPECIFIED
Cook, Alasdairalasdair.j.cook@surrey.ac.ukUNSPECIFIED
Date : 1 April 2017
Identification Number : 10.1016/j.prevetmed.2016.08.012
Copyright Disclaimer : © 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords : Antimicrobial resistance, Bayesian analysis, Belief updating, Clinical priors, Evidence-based veterinary medicine, Probabilistic elicitation
Additional Information : Full text not available from this repository.
Depositing User : Symplectic Elements
Date Deposited : 08 Mar 2017 12:32
Last Modified : 31 Oct 2017 19:11
URI: http://epubs.surrey.ac.uk/id/eprint/813711

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