Search and identification methods that owners use to find a lost dog

J Am Vet Med Assoc. 2007 Jan 15;230(2):211-6. doi: 10.2460/javma.230.2.211.

Abstract

Objective: To characterize the process by which owners search for lost dogs and identify factors associated with time to recovery.

Design: Cross-sectional study.

Sample population: Owners of 187 dogs lost in Montgomery County, Ohio, between June 1 and September 30, 2005.

Procedures: A telephone survey was conducted.

Results: 132 of the 187 (71%) dogs were recovered; median time to recovery was 2 days (range, 0.5 to 21 days). Dogs were recovered primarily through a call or visit to an animal agency (46 [34.8%]), a dog license tag (24 [18.2%]), and posting of neighborhood signs (20 [15.2%]). Eighty-nine (48%) dogs had some type of identification at the time they were lost (ie, identification tag, dog license tag, rabies tag, or microchip). Owners had a higher likelihood of recovery when they called an animal agency (hazard ratio, 2.1), visited an animal agency (1.8), and posted neighborhood signs. Dogs that were wearing a dog license tag also had a higher likelihood of recovery (hazard ratio, 1.6). Owners were less likely to recover their dogs if they believed their dogs were stolen (hazard ratio, 0.3).

Conclusions and clinical relevance: Results suggest that various factors are associated with the likelihood that owners will recover a lost dog. Both animal agencies and veterinarians can play a role in educating dog owners on the importance of identification tags, licensing, and microchips and can help to emphasize the importance of having a search plan in case a dog is lost.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Advertising
  • Animal Identification Systems / methods
  • Animal Identification Systems / statistics & numerical data
  • Animal Identification Systems / veterinary*
  • Animals
  • Computers
  • Cross-Sectional Studies
  • Dogs
  • Female
  • Humans
  • Likelihood Functions
  • Male
  • Ohio
  • Ownership*
  • Time Factors