Factors affecting retention of veterinary practitioners in Ireland: a cross-sectional study with a focus on clinical practice
Abstract
Background Retention of veterinary practitioners has arisen as a significant problem in recent years in Ireland. No prior Irish peer-reviewed publications have addressed this problem. An online questionnaire was available through social media and via email to Irish vets from January to November 2019. The aim of this survey was to ascertain the factors contributing to the problem of vet retention in Ireland. Results A total of 370 eligible responses were received. The median age of respondents was 31 and the gender balance was 250 females (68%) to 118 males (32%). The majority of respondents worked in clinical practice 322 (89%), with 138 (42.8%) in mixed practice, 115 (35.7%) in small animal practice, 49 (15.2%) solely with farm animals and 20 (6.2%) in equine practice. Fifty-four percent of respondents described themselves as likely to be leaving their current job within two years and 32.8% as being likely to leave the profession. In total, 44 variables were assessed by univariate analysis and 27 variables were significantly ( P < 0.05) associated with the likelihood of a respondent leaving their current job within 2 years (LCJ2), as a proxy measure of the problem of retention. All variables significant on univariate analysis at P < 0.2 were included in a multivariable logistic regression model. Factors associated with LCJ2 included satisfaction with work-life balance (Odds Ratio (OR) 0.33); satisfaction with working hours (OR 0.2); number of years qualified (OR 0.91);…
Read the paper
Related studies
- Chaos and quantum thermalization
- The Dalton quantum chemistry program system
- Cord Blood Leptin and Adiponectin as Predictors of Adiposity in Children at 3 Years of Age: A Prospective Cohort Study
- Quantitative metabolomics by H-NMR and LC-MS/MS confirms altered metabolic pathways in diabetes
- Stable adiabatic quantum batteries
- A novel self-lipid antigen targets human T cells against CD1c(+) leukemias
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.