A mixed-method analysis of the consistency of intake information reported by shelter staff upon owner surrender of dogs.

Abstract

Data collected by animal shelters can provide an overview of population numbers and recommendations for shelter management and community programming. While studies utilize data from shelter software, questions remain on whether such data are reliable. The objective of the online experiment was to determine the agreement in data input for surrender reason, breed, and color across shelter staff (n = 81) when presented with four complex narratives of fictional owners surrendering dogs. Additionally, we aimed to understand how staff select surrender reasons for data input through qualitative analysis. Out of 40 possible surrender reasons, the number of unique reasons selected for each scenario ranged from 12-16, suggesting a variety of possible data entries for the same surrender narrative. Agreement was also low for breed and color. Shelter staff described a variety of different methods of determining the surrender reason for input into shelter software, such as asking the owner for their most influential reason or inferring the underlying reason. Further research is required to understand how animal shelter data can be collected consistently in a way that can meaningfully inform shelter management decisions.