Owner-reported dog health data showed substantial concordance with veterinary electronic medical records for many disease categories, supporting their utility as a reliable and scalable supplement or alternative to VEMRs in veterinary research and epidemiology.
Key Findings
Results
Agreement between owner-reported and VEMR-verified diagnoses was at or above 90% in 10 of 20 disease categories.
A final sample of 309 dogs was included after excluding 41 dogs due to incomplete VEMRs from an initial subsample of 350.
Agreement was assessed across 20 disease categories with a focus on five target disease categories (TDCs).
Agreement was highest in endocrine, immune, and 'other' categories at 99%.
Agreement was lowest in the dental/oral category at 44%.
Results
Among the five target disease categories, orthopedic and traumatic conditions had higher owner-VEMR agreement while dermatologic and dental/oral categories showed the least agreement.
Orthopedic and traumatic conditions had agreement greater than 78%.
Dermatologic and dental/oral categories showed the least agreement among the five target disease categories.
The five target disease categories (TDCs) were a focus of particular analysis within the broader 20-category assessment.
The study hypothesized that owner-reported diagnoses would align more closely with VEMRs for acute or emergent conditions and less so for benign or self-limiting conditions.
Methods
The study enrolled dogs with veterinary electronic medical records covering at least 85% of their life up to the time of survey completion.
Dogs were selected from the 2020 curated Dog Aging Project dataset (n = 27,541).
A subsample of 350 dogs was selected, of which 41 were excluded due to incomplete VEMRs.
VEMR reviewers completed a survey mirroring the Health and Life Experience Survey (HLES) and identified supporting evidence for each diagnosis.
Reviewers were masked when abstracting VEMR data.
Conclusions
Owner-reported diagnoses from the Health and Life Experience Survey showed substantial concordance with veterinary electronic medical records across many disease categories.
Agreement was at or above 90% in 10 of 20 disease categories.
The study used data from the Dog Aging Project, a longitudinal study of companion dogs in the United States.
The findings support owner-reported diagnoses as 'a reliable and scalable supplement or alternative to VEMRs in veterinary research and epidemiology.'
The observational study compared owner responses in the HLES to VEMR data abstracted by masked reviewers.
Schmid S, Sexton C, Yoerger A, Kauffman M, McClelland R, Creevy K, et al.. (2026). Accuracy of owner-reported diagnoses for dogs enrolled in the Dog Aging Project as compared to veterinary electronic medical records.. PloS one. https://doi.org/10.1371/journal.pone.0342427