Spatial accessibility to animal health care - a GIS based analysis

Abstract

Various studies from the past years examine the changing conditions and challenges in the veterinary sector. Secured access to public and private care services is a prerequisite for a holistically oriented health care system ("One Health"). In the present study, a multidimensional concept of accessibility to care services was used for the first time to determine and visualize the density of the animal health care system in Switzerland. Traditional indicators used to describe care structures focus either on availability or accessibility. In order to overcome the limitations of traditional indicators, the family of methods known as Floating-Catchment-Area-Methods (FCA) has been developed in care geographical research. The strength of FCA methods lies in the fact that they output accessibility independent of administrative boundaries and at the same time consider the spatial distance and available capacities. The study provides insight into the density of animal health care services using FCA methods and geographical information systems (GIS). Data on providers of veterinary services in the companion animal sector and, on the demand side, data on dogs and cats kept in Switzerland served as illustrative example. The result was interactive maps of the density of health care and the structure of spatial accessibility to veterinary providers and consumers. As expected, high spatial accessibility is found in the urban centers and the agglomerations of the Central Plateau. In contrast, spatial accessibility to medical services for dogs and cats is often lower in peripheral areas. Due to hitherto unavailable data, various analyses had to be postponed for the time being. For example, the model could of course be extended to all animal species and all types of medical services. In addition, it would also be possible to forecast the future density of health care, or to optimize the care system. Together with the relevant industry stakeholders, these gaps could be closed, and the model and the resulting findings could be further differentiated. The results should serve private actors in the concerned value chains, but also decision-makers in the public veterinary service, governmental authorities, agricultural bodies, universities, etc. as a basis for strategic decisions regarding the issue of medical supply density and care services in the animal sector.