Table 1.
Study variable list and data sources.
| Input parameters | Data source |
|---|---|
| Number of veterinarians (2020 estimates) | AVMA's Aptify membership database, year end 2020 |
| Prevalence/probabilities | |
| Burnout proqol (≥25) | AVMA's census of veterinarians |
| Actual turnover (2020 data only) | AVMA's census of veterinarians |
| Actual turnover due to burnout (2020 data only) | AVMA's census of veterinarians |
| Reduce work hour (intention) P(RH = 1) | AVMA's census of veterinarians |
| Reduce work hour signaling P(RH = 1|B = 0) | AVMA's census of veterinarians |
| Reduce work hour signaling due to burnout P(RH = 1|B = 1) | AVMA's census of veterinarians |
| Cost parameters | |
| Median and mean annual salary for associates (2020 $ equivalents) | AVMA's census of veterinarians |
| Veterinarian replacement cost (66% of annual salary)—median and mean | Society for human resource management |
| Average net revenue contribution ($/associate vet/year)—median and mean | AVMA's practice ownership survey |
| Average vacancy period (days) | AVMA's veterinary career center |