Assessing farmer willingness to participate in a subsidized veterinary herd health management program.

Zoonoses, such as COVID-19, can cause pandemics with many fatalities. Therefore, livestock keepers should attach great importance to livestock disease control. Veterinarians can support farmers in this task through a structured veterinary herd health management (VHHM) program. The dissemination of these programs remained low, and Swiss policy makers planned to launch a subsidy program for VHHM. To inform policy making ex-ante, a survey of 1600 Swiss dairy farmers was conducted to determine whether they are willing to participate and how much they are willing to pay. Contingent evaluation with a discrete choice format elicited willingness to pay (WTP). As a rather high share of farmers who would not participate was expected, a spike model was applied with a single-bounded discrete choice (SBDC) model. Only 47% of the farmers had a positive WTP. Mean WTP in the SBDC was CHF 10.47 per cow and year and in the spike model CHF 57.96. Participation would increase with higher subsidy levels. If the government pays 20% of the costs and farmers pay CHF 96 per cow per year, 23.6% of farms would participate. If the subsidy increases to 80% (CHF 24 for farmers), 40.4% would participate. A logistic regression indicates younger and older farmers, those with lower veterinary costs, and those who consider VHHM relevant only for farms with problems are less likely to participate.

Udder health, veterinary costs, and antibiotic usage in free stall compared with tie stall dairy housing systems: An optimized matching approach in Switzerland.

Observational studies are important in livestock science. As treatment is not assigned randomly in such studies, selection bias can be a problem. This is often addressed by matching methods. However, if treatment and control groups differ considerably in their characteristics, it might be necessary to additionally prune observations that lack overlap in the opposite group. "Matching Frontier" method was developed because pruning observations manually often results in suboptimal solutions. The feasibility of the approach for animal health and welfare issues was tested in an observational study evaluating the effect of free stall housing and increased lying comfort on udder health, veterinary costs, and antibiotic usage in Swiss dairy farming. Data were collected in a survey with 1835 Swiss dairy farmers (response rate 28.3%). The treatment group (n = 179) comprised farmers participating in a voluntary animal welfare program that, in addition to free stall housing, required increased lying comfort. Farmers in the control group (n = 229) kept their cows in tie stalls. Using the Matching Frontier method, treated units were matched to control units based on five confounders. Subsequently, observations were pruned to achieve sufficient balance and overlap between the two groups. The effect of the program on the eight outcome variables was finally estimated using linear regression. Farmers in the treatment group had a lower incidence of clinical mastitis (-3.66 per 100 cow-years, -25%, p < 0.05), a lower incidence of culled cows due to udder health problems (-1.61 per 100 cow-years, -30%, p < 0.05), fewer veterinary costs (-42.44 per cow-year, -22%, p < 0.05), a lower incidence of total intramammary antibiotic treatments (-15.88 per 100 cow-years, -23%, p < 0.01), a lower incidence of intramammary antibiotic treatments for mastitis therapy (-7.83 per 100 cow-years, -32%, p < 0.01), and a lower incidence of intramammary antibiotic treatments for dry-cow therapy (-8.80 per 100 cow-years, -21%, p < 0.05). No differences were found for the average somatic cell count and the number of cows with a cell count above 150.000. The results suggest that free stall housing, in combination with increased lying comfort, can have a positive effect on udder health, animal welfare, and the economic situation of the farm. Additionally, fewer antibiotic treatments can be beneficial to public health. The Matching Frontier method has proven to be a helpful tool that may also have added value for future observational studies in livestock science.