Owners’ perceptions of their dogs' quality of life offer valuable insights into emotional and behavioral aspects that reflect the overall well-being of the dog. This perception can be assessed using validated surveys, which have become essential tools for the evaluation of dog population management programs. The objective of this study was to compare the perceived quality of life of dogs as reported by their owners, who accessed either public or private dog population management programs in Hermosillo, Sonora, Mexico. A cross-sectional descriptive study was conducted among owners who accessed a dog’s population management program between June 2022 and November 2024. The survey responses were analyzed using internal consistency, and associations according to veterinary models were calculated using proper statistical tests. A total of 947 dog owners completed the survey, a high internal consistency was observed across all domains (α > 0.7), the highest reliability was shown in the 'happiness' domain (α = 0.91). In this domain, dog owners who attended public programs showed significantly higher scores (mean ± SD: 17.81 ± 3.67) compared to those attending private veterinary models (mean ± SD: 16.52 ± 4.85; p = 0.000). This finding may reflect contextual factors such as a stronger emotional bond among owners and dogs. Conversely, the “physiological functioning” and “mental state” domains showed significantly higher scores in the private veterinary care model (p = 0.035 and p = 0.000, respectively), possibly due to better access to health services. No significant differences were found in the “hygiene” domain (p = 0.960) or the global score (p = 0.138). These findings suggest that, despite operational limitations, public population management programs may be associated with a more favorable perception of dog’s quality of life. The results support the implementation and strengthening of public dog population management programs as a feasible strategy to enhance the quality of life for dogs in a resource-limited urban settings.
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