scholarly journals An Interview with Professor Lance Lanyon

2016 ◽  
Vol 1 (2) ◽  
Author(s):  
Lance Lanyon

Professor Lance Lanyon recently published an article in Veterinary Record (Lanyon, 2016) proposing a nationwide Evidence Based Veterinary Medicine (EBVM) system of veterinary-practice data collection, management and interrogation. The goal is to use data from UK practices to aid “the understanding of the links between the cause, prevalence and treatment of disease.”His article describes the need for such a system, and possible mechanisms to pay for it. Professor Lanyon’s article started an important conversation about the role all practices can play in EBVM, so Veterinary Evidence asked Professor Lanyon to expand on some of his ideas.

Author(s):  
Grazia Concilio ◽  
Paola Pucci

AbstractThe wider availability of data and the growing technological advancements in data collection, management, and analysis introduce unprecedented opportunities, as well as complexity in policy making. This condition questions the very basis of the policy making process towards new interpretative models. Growing data availability, in fact, increasingly affects the way we analyse urban problems and make decisions for cities: data are a promising resource for more effective decisions, as well as for better interacting with the context where decisions are implemented. By dealing with the operative implications in the use of a growing amount of available data in policy making processes, this contribution starts discussing the chance offered by data in the design, implementation, and evaluation of a planning policy, with a critical review of the evidence-based policy making approaches; then it introduces the relevance of data in the policy design experiments and the conditions for its uses.


2015 ◽  
Vol 177 (15) ◽  
pp. 393-393
Author(s):  
Rachel Dean ◽  
Kathryn Wareham

BestBETs for Vets are generated by the Centre for Evidence-based Veterinary Medicine at the University of Nottingham to help answer specific questions and assist in clinical decision making. Although evidence is often limited, they aim to find, present and draw conclusions from the best available evidence, using a standardised framework. A more detailed description of how BestBETs for Vets are produced was published in Veterinary Record earlier this year (VR, April 4, 2015, vol 176, pp 354-356)


2015 ◽  
Vol 176 (14) ◽  
pp. 360-361
Author(s):  
Rachel Dean ◽  
Martin Downes

BestBETs for Vets are generated by the Centre for Evidence-based Veterinary Medicine at the University of Nottingham to help answer specific questions and assist in clinical decision making. Although evidence is often limited, they aim to find, present and draw conclusions from the best available evidence, using a standardised framework. A more detailed description of how BestBETs for Vets are produced is published on pp 354-356 of this issue of Veterinary Record


2015 ◽  
Vol 177 (15) ◽  
pp. 392-392
Author(s):  
Marnie Brennan ◽  
Jenny Stavisky

BestBETs for Vets are generated by the Centre for Evidence-based Veterinary Medicine at the University of Nottingham to help answer specific questions and assist in clinical decision making. Although evidence is often limited, they aim to find, present and draw conclusions from the best available evidence, using a standardised framework. A more detailed description of how BestBETs for Vets are produced was published in Veterinary Record earlier this year (VR, April 4, 2015, vol 176, pp 354-356)


2019 ◽  
Vol 22 (1b) ◽  
pp. 2156759X1983444
Author(s):  
Christopher A. Sink ◽  
Clara Adkins ◽  
Myya Cooney ◽  
Tiffany Garverick

This article addresses school counselor evidence-based accountability practice by summarizing the findings of a hands-on evaluation of readily accessible, free online accountability software that can be used for data collection, management and analysis, and presentations. Using germane school data, four preservice counselors individually rated these tools and commented on their advantages and disadvantages for accountability work. We provide recommendations for data-based practice and improved training.


2017 ◽  
Vol 180 (15) ◽  
pp. 380-381 ◽  
Author(s):  
Bobby Hyde ◽  
Marnie Brennan

BestBETs for Vets are generated by the Centre for Evidence-based Veterinary Medicine at the University of Nottingham to help answer specific questions and assist in clinical decision making. Although evidence is often limited, they aim to find, present and draw conclusions from the best available evidence, using a standardised framework. A more detailed description of how BestBETs for Vets are produced was published in a previous issue of Veterinary Record (VR, April 4, 2015, pp 354-356)


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