Non-judicious antimicrobial use (AMU) is a major driver of antimicrobial resistance (AMR). In human hospitals, cumulative antibiograms are often used by clinicians to evaluate local susceptibility rates and to select the most appropriate empiric therapy with the aim of minimizing inappropriate AMU. However, use of cumulative antibiograms to guide empiric antimicrobial therapy in veterinary hospitals in the United States is limited, and there are no specific guidelines or standardized methods available for the construction of antibiograms in veterinary clinical settings. The objective of this methods article is to describe the approaches that were used to construct antibiograms from clinical samples collected from dogs seen at a veterinary teaching hospital. Laboratory data for 563 dogs for the period January 1, 2015 to December 31, 2015 was utilized. We used the Clinical and Laboratory Standards Institute (CLSI) guidelines for use in the construction of the antibiograms in human healthcare settings as the basis for the veterinary antibiograms. One general antibiogram, and antibiograms, stratified by hospital section, anatomic region of sample collection/ by sample type, were created and the challenges encountered in preparing these antibiograms are highlighted. The approaches described could be useful in guiding veterinary antibiogram development for empiric therapy.

Background: Understanding the physicians’ knowledge, attitudes and antimicrobial prescribing behaviour is a crucial step towards designing strategies for optimal use of these agents. Methods: A cross-sectional online survey was conducted among clinicians across India between “May to July 2022” using a self-administered questionnaire in English comprising of 35 questions pertaining to demographic characteristics, knowledge, attitude and practices domains. Results. A total of 544 responses were received from 710 physicians contacted. 60 percent participants were males with mean age of 34.7 years. Mean ± SD scores for knowledge, attitude and practices domains were 8±1.6, 20.2±3.5 and 15.3±2.1, respectively. Higher scores were associated with basic [odds ratio (95% C.I.), P value: 2.95 (1.21, 7.2), 0.02], medical and allied sciences [2.71 (1.09, 6.67), 0.03] and central zone [3.75 (1.39, 10.12), 0.009]. A substantial proportion of dissatisfactory responses were found regarding hospital antibiograms, antibiotics effective against anaerobes, WHO AWaRe classification of antibiotics, and role of infection prevention and control (IPC) measures in containment of antimicrobial resistance (AMR). Conclusions. There is a need to sensitize and educate clinicians on various issues related to antimicrobial use such as antibiograms, double anaerobic cover, IPC practices and guideline-based recommendations to curb the AMR pandemic.