Abstract Introduction A cornerstone of evidence‐based veterinary medicine is the use of research‐based evidence to inform clinical decision making. There are a number of evidence‐based resources available for veterinary professionals to use at the point of care, but it is unknown how and what specific topics users are seeking. Objectives The aim of this research was to descriptively analyse the contents of BestBETs for Vets critically appraised topic (CAT) collection and to summarise user interactions via website analytics data. Methods A descriptive analysis of the CATs published on the website was undertaken to identify common species, topic areas, intervention types along with the number of relevant papers and type of study design. Google Analytics data were analysed to identify user interactions such as pages most visited, total website views, routes of access to the website (channel), traffic origin, location (country) and views over time. Results Ninety‐six CATs in total were identified and included in the analysis. The species with the most CATs published were dogs ( n = 37; 38.5%). Among 27 topic areas that CATs could be assigned to, reproduction was the most frequent ( n = 18; 18.8%). Google Analytics data revealed that users from just over 190 countries had accessed the website. Most users accessed the information directly (56.8%) rather than by organic search (25.2%). Conclusions This information not only improves our understanding of how veterinary professionals interact with evidence synthesis databases but also helps to inform future review areas, which are most needed by veterinary professionals for clinical decision making.
Messina et al. (Tue,) studied this question.