title: Pet overpopulation: data and measurement issues in shelters.
abstract: Data collection and analysis within animal shelters are critical to developing effective programs that reduce the number of dogs and cats euthanized each year. However, current data collection efforts are insufficient to identify the magnitude, dynamics, or root causes of euthanasia in animal shelters across the United States. The purpose of this study was to examine potential solutions to the underlying root causes of pet overpopulation, with 2 elements. The first, more explicit goal was to establish a baseline of shelter data, policies, and viewpoints through a detailed survey of 186 shelters, 12 site visits, and numerous interviews. The findings suggest large variation in local issues faced by shelters, as well as a nearly universal focus on sterilization as a solution. The greater objective, however, was to use this information as an impetus to improve the process by which shelters amalgamate information and effectively use it to target the most pressing needs within their communities. We believe the essential step is to provide shelters with an analytical tool that would yield informational benefits exceeding the cost of data collection. Such an improvement would have a positive spillover effect on researchers, donors, and others attempting to collect standardized, geographically scalable data. This article presents an overview of the survey findings, as well as a prototype of a tool to help improve data amalgamation and analysis efforts within shelters.
authors.affiliation: Mercer Management Consulting, Stanford Gradutate School of Business, Stanford University, USA. john.wenstrup@mercermc.com
authors.forename: J
authors.initials: J
authors.lastname: Wenstrup
authors.forename: A
authors.initials: A
authors.lastname: Dowidchuk