1887

Shelter metrics

image of Shelter metrics
GBP
Online Access: £ 25.00 + VAT
BSAVA Library Pass Buy a pass

Abstract

This chapter considers what can be achieved through the use of metrics and provides real-world examples and guidance around how to begin using them. This is a similar process to clinical audit, with the aim of identifying where improvements can be made and tracking the success or failure of initiatives to boost performance.

Preview this chapter:
Loading full text...

Full text loading...

/content/chapter/10.22233/9781910443330.ch07

Figures

Image of 7.3
7.3 Comparison of the monthly incidence of post-ovariohysterectomy incision infections in cats in Somewhere Shelter in 2015 and 2016.
Image of 7.4
7.4 Monthly incidence of upper respiratory tract infections (‘cat ‘flu’) in cats in Somewhere Shelter from January 2011 to December 2013.
Image of 7.5
7.5 Incidence of upper respiratory tract infections by month (divided into seasons) and by age group in Somewhere Shelter in 2017. Juvenile = <6 months of age; adult = >6 months of age.
Image of 7.6
7.6 Survival (%) of unweaned kittens (0–4 weeks of age) in Somewhere Shelter from 2013 to 2016.
Image of 7.10
7.10 Median length of stay (in days) by month for cats in Somewhere Shelter from January 2014 to May 2017.
Image of 7.11
7.11 Effect of feline upper respiratory tract disease (FURTD) on the median length of stay (LOS) of cats by age group in Somewhere Shelter in 2017.
Image of 7.12
7.12 Graph of the average daily census of dogs in Somewhere Shelter by year in relation to the shelter’s dog housing capacity (indicated with the dashed line) from 2013 to 2016.
Image of 7.13
7.13 Regularly exceeding the shelter’s capacity can lead to a vicious cycle, causing increased average length of stay, declining animal health and welfare and increases in stress to both the staff and animals. Although it may seem counterintuitive, reducing the number of animals in the shelter can be a powerful tool to promote health and welfare, and actually increase overall rehoming rates.
Image of 7.14
7.14 Metrics are a familiar means of proactively addressing health concerns in dairy cattle. (© Jenny Stavisky)
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error