Dr. Jan Scarlett, Director of Maddie’s Shelter Medicine Program at Cornell University College of Veterinary Medicine, discusses the collection and use of medical data in animal shelters, and how this can significantly improve the health of individual animals and the shelter population.
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A count of the number of disease cases for a specified period of time.
An incidence proportion of diseased animals for a specified period of time.
A point prevalence of disease.
Mortality proportion of diseased animals for a specified period of time
Species, age group, source (owner-surrender, stray, other).
Species, breed, source.
Species, time (e.g., season), age group.
Species, location in shelter, age group.
It establishes a baseline disease frequency against which outbreaks can be identified.
It is necessary to track trends in disease incidence in the shelter.
It enables evaluation of the effect of changes in protocols on disease incidence.
All of the above.
The number of new disease cases divided by the population at risk during a defined time period.
The number of disease cases divided by the population at risk during a defined time period.
The number of disease cases divided by the population at risk at a specific point in time.
The number of animals dying of a disease divided by the population at risk during a defined time period.
Protocols may be adjusted to reduce their risk.
Potential surrenders may be realistically cautioned about the welfare of the animals they surrender.
High risk animals may be preferentially placed in foster care.
All of the above.
Collection and monitoring of medical data in shelters can improve individual animal health.
Data suggests that the length of stay in a shelter affects the likelihood that an animal will become sick.
Shelter veterinarians must have a course in statistics to utilize their shelter's medical data to improve animal health.
Most shelters under-utilize their medical data.
Training of medical staff in data collection.
The ratio of cats to dogs entering the shelter.
The value placed by the shelter on data collection.
The number of people entering medical data into the computer.
Lack of standardized definitions of factors (e.g., age, breed) or diseases.
Lack of computer access in the medical area(s).
Failure to evaluate disease incidence in various subgroups.
All of the above.
Specific, measurable, attainable, relevant and time-based.
Specific, modifiable, attainable, realistic and timely.
Sensible, modifiable, actionable, realistic and time-based.
Sensible, measurable, actionable, relevant and timely.
The mortality from FeLV or FIV in cats in the community.
The prevalence of FeLV or FIV in cats entering the shelter.
The incidence of FeLV or FIV in cats entering the shelter.
The case-fatality rate from FeLV or FIV among cats in the shelter.
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