Development of a new scale to measure ambiguity tolerance in veterinary students

The ability to cope with ambiguity and feelings of uncertainty is an essential element of professional practice. Research with physicians has identified that intolerance of ambiguity or uncertainty is linked to stress and some authors have hypothesised that there could be an association between intolerance of ambiguity and burnout (e.g. Cooke et al 2013). We describe the adaptation of the TAMSAD (Tolerance of Ambiguity in Medical Students and Doctors) scale for use with veterinary students. Exploratory factor analysis supports a unidimensional structure for the Ambiguity tolerance construct. Although internal reliability of the 29 item TAMSAD scale is reasonable (α = 0.50), an alternative 27 item scale (drawn from the original 41 items used to develop TAMSAD) shows higher internal reliability for veterinary students (α = 0.67). We conclude that there is good evidence to support the validity of this latter TAVS (Tolerance of Ambiguity in Veterinary students) scale to study ambiguity tolerance in veterinary students

A Demographic and Epidemiological Study of the Equine Population of Scotland and Northern England

The aim of this study was to estimate the total size, composition and geographical distribution of the equine population of Scotland and Northern England, and to record information on the management, level of activity and disease prevalence of this population in order to make recommendations for the prioritisation of future research in equine health and welfare. The study was conducted by means of a series of four mailed questionnaire surveys of a specifically recruited network of sentinel first opinion veterinary practices, recording data from both veterinary surgeons and also horse owners registered with the practices. Both group data, at the level of the veterinary practice or of the holding where horses were kept, and individual animal data were recorded. Extensive use was made of proprietary computer word processing, database, spreadsheet and Geographical Information System (GIS) software in the production of questionnaires and survey materials and in the storage, collation, analysis and presentation of survey data. The total size of the equine population of Scotland and Northern England was estimated to be 96,622 animals kept by 26,114 horse owners. The mean +/- SD age of the population was 11.0 +/- 7.5 years with 50% of animals male and 50% female. Thoroughbred or Thoroughbred cross were the commonest breeds comprising 30% of the total population. Overall 50% of owners kept their horses on private premises and 50% kept them on shared premises. Despite the large proportion of animals kept on private premises, animals from all types of premises mixed at shows or competitions approximately once a month. In terms of management, 69% of horses grazed for at least half of their time with 10% always grazed. Twenty nine per cent of horses were stabled for most of the time and a further 2% were permanently stabled and never grazed. Rates of vaccination and worming of horses reported by horse owners fell below recommended rates. The most popular equestrian activity was hacking, involving 24% of horses kept by respondent owners, closely followed by breeding and riding/pony club events involving 20% and 18% of horses respectively. Endurance riding and point-to-point appeared to be the least popular activities, each involving only 2% of horses kept by respondent owners. The top five categories of equine disease problem diagnosed, in descending order were; musculoskeletal, minor injuries, dermatological, gastrointestinal and respiratory, though the most common reason for veterinary attention to a horse was for a routine procedure such as vaccination. A Geographical Information System, holding all data generated by the study linked to maps of the study area, was created to allow intuitive interrogation of information relating to equine welfare. In addition, this system has the potential to become a powerful management tool for contingency planning in the face of new diseases. It was concluded that sentinel practice based research provided a successful means of gathering demographic and epidemiological information about populations of animals at the macro level. The findings of the study suggested that future research should focus on: musculoskeletal disease, in particular laminitis and joint, tendon and ligament problems; gastrointestinal disease, particularly colic, and especially in eastern areas; dermatological disease and respiratory disease, particularly COPD and upper respiratory tract infections especially in the central areas where a greater proportion of horses are kept in shared premises. Timely dissemination of information generated by this and other studies, in an intuitive manner, was considered to be of paramount importance to ensure maximum impact by improving animal health and welfare

Deterministic model to evaluate the impact of lactational treatment of subclinical mastitis due to coagulase-negative staphylococci

Coagulase-negative staphylococci (CNS) are the most frequently isolated bacteria from milk samples in several studies worldwide. Despite their relative frequency, specific measures aiming at their control are not well established. One possible measure to include in a control programme is lactational antimicrobial treatment. The decision to perform such treatment, as well as other actions on farm, should be based on the likelihood of financial return. A deterministic model was used to evaluate whether performing an antimicrobial treatment during the lactation for quarters infected with CNS was financially justifiable. Input variables for the impact of CNS on udder health were based on a previous study by the same authors and on available literature on the subject. Prices included in the model were based on 2009/2010 conditions in Portugal. The average result per antimicrobial treated quarter was a net loss of (sic)38.74. Performing a sensitivity analysis to evaluate how systematic variation of the input variables of the model would lead to outcome changes showed that variation in input variables nearly always led to a negative outcome, with the greatest variation in losses observed for variation in the length of treatment and milk withdrawal period (-(sic)46.26 to -(sic)28.49). The situations in which a net benefit was to be expected included the bulk tank somatic cell count decreasing to a level corresponding to a premium payment or to penalties being avoided, and the prevention of transmission of CNS in the milking parlour when the possibility of transmission was at its highest level. For most situations, lactational treatment of CNS subclinical mastitis was not financially justifiable

Estimates of genetic parameters of distal limb fracture and superficial digital flexor tendon injury in UK Thoroughbred racehorses

A retrospective cohort study of distal limb fracture and superficial digital flexor tendon (SDFT) injury in Thoroughbred racehorses was conducted using health records generated by the British Horseracing Authority (BHA) between 2000 and 2010. After excluding records of horses that had both flat and jump racing starts, repeated records were reduced to a single binary record per horse (<i>n</i> = 66,507, 2982 sires), and the heritability of each condition was estimated using residual maximum likelihood (REML) with animal logistic regression models. Similarly, the heritability of each condition was estimated for the flat racing and jump racing populations separately. Bivariate mixed models were used to generate estimates of genetic correlations between SDFT injury and distal limb fracture. The heritability of distal limb fracture ranged from 0.21 to 0.37. The heritability of SDFT injury ranged from 0.31 to 0.34. SDFT injury and distal limb fracture were positively genetically correlated. These findings suggest that reductions in the risk of the conditions studied could be attempted using targeted breeding strategies

Summary of current knowledge of the size and spatial distribution of the horse population within Great Britain

<b>Background</b> Robust demographic information is important to understanding the risk of introduction and spread of exotic diseases as well as the development of effective disease control strategies, but is often based on datasets collected for other purposes. Thus, it is important to validate, or at least cross-reference these datasets to other sources to assess whether they are being used appropriately. The aim of this study was to use horse location data collected from different contributing industry sectors ("Stakeholder horse data") to calibrate the spatial distribution of horses as indicated by owner locations registered in the National Equine Database (the NED).<p></p> <b>Results</b> A conservative estimate for the accurately geo-located NED horse population within GB is approximately 840,000 horses. This is likely to be an underestimate because of the exclusion of horses due to age or location criteria. In both datasets, horse density was higher in England and Wales than in Scotland. The high density of horses located in urban areas as indicated in the NED is consistent with previous reports indicating that owner location cannot always be viewed as a direct substitute for horse location. Otherwise, at a regional resolution, there are few differences between the datasets. There are inevitable biases in the stakeholder data, and leisure horses that are unaffiliated to major stakeholders are not included in these data. Despite this, the similarity in distributions of these datasets is re-assuring, suggesting that there are few regional biases in the NED.<p></p> <b>Conclusions</b> Our analyses suggest that stakeholder data could be used to monitor possible changes in horse demographics. Given such changes in horse demographics and the advantages of stakeholder data (which include annual updates and accurate horse location), it may be appropriate to use these data for future disease modelling in conjunction with, if not in place of the NED

Dynamics of bovine intramammary infections due to coagulase-negative staphylococci on four farms

The objectives of this study were to compare the impact of different coagulase-negative species (CNS) on udder health measured in terms of individual quarter milk somatic cell count (SCC) and duration of intramammary infection, and to get some insight into most likely routes of infection for different CNS species. This longitudinal observational study was performed on four farms that were sampled at 4-week intervals for a total of 12 visits each. Quarters infected with CNS were followed through time with milk samples being submitted for bacteriological culture and SCC determination. PCR amplification of the internal transcribed spacer region and sequencing of the sodA and rpoB genes were used for species allocation. Pulsed-field gel electrophoresis (PFGE) was performed to assess strain identity. The percentage of quarters affected per farm varied between 6 and 35%, with the most frequently isolated CNS species being Staphylococcus epidermidis, followed by Staph. simulans, Staph. chromogenes and Staph. haemolyticus. It was possible to follow 111 intramammary infections due to CNS through time. Duration of infection had a mean of 188 d and was not significantly different between CNS species. Geometric mean quarter SCC overall was 132 000 cells/ml and was also not significantly different between CNS species. Despite the possibility of a different epidemiology of infection, the impact in terms of udder health seems to be similar for different CNS species

The prevalences of Salmonella Genomic Island 1 variants in human and animal Salmonella Typhimurium DT104 are distinguishable using a Bayesian approach

Throughout the 1990s, there was an epidemic of multidrug resistant Salmonella Typhimurium DT104 in both animals and humans in Scotland. The use of antimicrobials in agriculture is often cited as a major source of antimicrobial resistance in pathogenic bacteria of humans, suggesting that DT104 in animals and humans should demonstrate similar prevalences of resistance determinants. Until very recently, only the application of molecular methods would allow such a comparison and our understanding has been hindered by the fact that surveillance data are primarily phenotypic in nature. Here, using large scale surveillance datasets and a novel Bayesian approach, we infer and compare the prevalence of Salmonella Genomic Island 1 (SGI1), SGI1 variants, and resistance determinants independent of SGI1 in animal and human DT104 isolates from such phenotypic data. We demonstrate differences in the prevalences of SGI1, SGI1-B, SGI1-C, absence of SGI1, and tetracycline resistance determinants independent of SGI1 between these human and animal populations, a finding that challenges established tenets that DT104 in domestic animals and humans are from the same well-mixed microbial population