Veterinary Dog Handling Techniques Survey Across Canada and the United States
by Lindsay Nakonechny·Updated 1mo ago
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Description
691 veterinary professionals from Canada and the United States reported on handling techniques for calm, fearful, and aggressive dogs during routine examinations. The cross-sectional survey, authored by Lindsay Nakonechny and last updated in April 2026, collected data on participant characteristics, clinic experience, professional quality of life, and the frequency of 14 different handling techniques. Logistic regression models identified risk factors for the use of minimal and full-body restraint.
Use Cases
Modeling risk factors for restraint use based on professional demographics and bite history
Analyzing correlations between personality traits, like extraversion, and handling choices
Investigating the influence of clinic-level factors, such as practice type, on restraint decisions
Studying the relationship between staff safety prioritization and the adoption of minimal restraint techniques
Strengths
Dataset includes responses from 691 veterinary professionals, providing a substantial sample size
Survey covers three distinct dog behavior states (calm, fearful, aggressive) for comparative analysis
Data collection includes multiple dimensions: participant characteristics, professional well-being, and specific handling techniques
Limitations
Row count for the underlying data table is unknown, which may limit suitability assessment
Column-level documentation is absent; field semantics must be inferred after download
Data is based on a convenience sample, which may not be fully representative of the broader veterinary population
Provenance
Source
Lindsay Nakonechny via figshare
Collection Method
Convenience sample online questionnaire
Time Range
Survey period not specified; data reflects a cross-sectional snapshot.
Freshness
Last updated 2026-04-14 13:08:06
Geography
Canada (21.7% of participants) and the United States (79.1% of participants)
Primary data file is a DOCX document (920.1 KB), which may require parsing to extract structured data for analysis.