Tài liệu Báo cáo khoa học: "Veterinary decision making in relation to metritis - a qualitative approach to un

Files with information on animal disease have a variety of applications at both the herd and national level, including monitoring the incidence of animal diseases or medical treatments, analyses of causal relationships, bench marking, estimation of treatment criteria, effectiveness of treatment on production, etc. Such information necessarily must be gathered from multiple observers in a wide range of contexts (e.g., the Danish national cattle database). Both disease detection and criteria for treatment are influenced by human perception, as exemplified by a study of farmers and mastitis [1]. This influence introduces the possibility of both variation and bias (e.g., problems related to intra- and inter-observer agreement). Consequently, consideration of data quality in existing data files becomes essential before any quantitative analysis can be conducted and interpreted. Intra- and inter-observer agreement about the manifestations and criteria for treatment must be estimated (quality control), because different people often judge the same conditions differently, as discussed by Baadsgaard and Jorgensen [2].