Give me shelter: the state of animal sheltering in Kentucky’s county shelter system

Critical Problems for Research in Animal Sheltering, a Conceptual Analysis

Animal shelter research has seen significant increases in participation over the past several decades from academic organizations, private organizations, public entities, and even corporations that aims to improve shelter programs, processes, operations, and outcomes for the various stakeholders/participants involved in a shelter system (animals, humans, the community, wildlife, and the environment). These efforts are scattered through a huge variety of different research areas that are challenging to define and scope for organizations seeking to start new lines of research inquiry. This work aims to enumerate some of the most critical outstanding problems for research in animal sheltering in a conceptual framework that is intended to help direct research conversations toward the research topics of highest impact (with the highest quality outcomes possible). To this end, we define seven (7) key areas for research: animal behavior, adoptions and special needs populations, medical conditions, disease transmission, community, ecology, and wellness (one health), operations, and public-private-academic-corporate collaboration. Within each of these areas, we review specific problems and highlight examples of successes in each area in the past several decades. We close with a discussion of some of the topics that were not detailed in this manuscript but, nonetheless, deserve some mention. Through this enumeration, we hope to spur conversation around innovative methodologies, technologies, and concepts in both research and practice in animal sheltering.

Coat Color and Cat Outcomes in an Urban U.S. Shelter

Simple Summary

There is continuing debate as to whether individuals prefer companion cats of varying coat colors, and if so, how color preferences may affect whether cats in shelters are euthanized, adopted, or transferred to another organization. This study analyzed outcomes for nearly 8000 cats admitted to an urban public shelter in Kentucky, USA from 2010 through 2011. While coat color overall was not an important predictor of cat outcomes, a tiered pattern among particular colors was detected. Specifically, black and white cats experienced the highest and lowest chances of euthanasia, respectively, while brown and gray cats experienced more middling chances. Orange cats’ relative chances of euthanasia were more difficult to gauge, but orange and white cats had similar euthanasia and adoption outcomes in the most nuanced model. In addition, there has been persistent speculation that the public’s interest in—and preference for—black cats might spike before Halloween due to cats’ associations with the holiday. However, the present study found that a subsample of more than 1200 entirely black cats did not experience improved chances of adoption or transfer to a rescue organization in October compared to other months. Overall, this study provides weak evidence for what has been termed “Black Cat Bias” by others, and hints that black cats in public shelters should receive extra consideration for rehoming.

Abstract

Some nonhuman animal shelters have developed rehoming programs for black cats to remedy what they believe are their higher rates of euthanasia and lower rates of adoption. This study reviews humans’ preferences/aversions to cats of various coat colors and uses contingency tables and multinomial logistic regression to test possible differences in outcomes (euthanasia, adoption, or transfer) for 7983 cats that entered an urban public shelter in Kentucky, USA from 2010 through 2011. While coat color overall was negligibly associated with cat outcomes in a contingency table, the pairwise difference between black and white cats was significant (p < 0.05) and nontrivial in strength. Specifically, black cats experienced the highest euthanasia and lowest adoption rates, while white cats had the lowest euthanasia and highest adoption rates. Brown, gray, and orange cats experienced similar outcomes, but middling between those of black and white cats. These patterns by color remained weak but significant after controlling for breed and stray status in regression analysis, with the exception of orange and white, which did not differ significantly. A subsample of 1219 entirely black cats was analyzed to assess whether they had different outcomes during the run-up to Halloween; their October percentages of adoption and transfer were comparable to or lower than all other months of the calendar year. Thus, this study did not find that outcomes improved for black cats during October. Overall, this study provides weak support for what has been termed “Black Cat Bias” by others, and hints that black cats in public shelters should receive extra consideration for rehoming, particularly if such efforts do not substantially redirect resources from other initiatives.

Survey of Massachusetts Animal Shelter Record-Keeping Practices in 2015

The animal sheltering industry lacks standardized methods of data collection and analysis. The resulting lack of available data limits our understanding of the homeless animal population. The objective of this study was to better understand record-keeping practices and attitudes toward shelter statistics among Massachusetts shelter and rescue organizations and to identify barriers to data collection and analysis. A survey of 119 participants at Massachusetts sheltering organizations revealed that the animal welfare community held favorable attitudes toward data management and sharing, but desired additional resources and training to manage data more efficiently and effectively. While a large proportion of homeless dogs and cats in Massachusetts are handled by a small number of large organizations, there are also hundreds of smaller shelters, rescues and animal control officers in the system. Public agencies were the least likely to use electronic data-keeping means, and often cited lack of resources as a barrier. These results should prove useful not only in Massachusetts but for other regions hoping to improve data collection practices and for the evaluation of shelter statistics systems nationwide.