Faculty Articles


Statistical modeling of turnover intention among practicing pharmacists in Florida: A probit analysis



Publication Title

Journal of the American Pharmacists Association





Date of original Performance / Presentation

January 2009

Publication Date / Copyright Date


First Page



Objective: To determine predictors of job turnover intention within the next 1 year among practicing pharmacists in Florida at their primary place of employment. Methods: Using a cross-sectional descriptive survey design, a simple random sample of 2,400 pharmacists with active licenses in Florida was mailed a questionnaire containing questions about their job satisfaction and intention to leave their primary place of employment within the next 1 year; work characteristics such as practice setting, current position, compensation, and perceived workload; and personal information such as age, marital status, and ethnicity. Probit analysis was used to predict pharmacist job turnover intention. Rasch rating scale model was applied to measures of job satisfaction and workload. Results: Adjusted response rate was 23% (n = 533/2,353) with a total of 372 surveys from actively practicing pharmacists used in the final data analysis. The respondents' mean age was approximately 45 years, more than half (55%) were women, and the majority (78%) reported that they were likely to stay at their place of employment within the next 1 year. Employment status, ethnicity, marital status, number of children in the household, and job satisfaction were found to be significant predictors of job turnover intention. A pharmacist who was part-time, Caucasian, married, having fewer children, and with lower levels of job satisfaction was more likely to report intending to leave their job. Conclusion: Pharmacist turnover intention can be influenced by a number of different factors. It is important to find out how each factor can be addressed or affected to reduce job turnover intention among practicing pharmacists. While pharmacists' existing personal characteristics such as ethnicity and marital status may be difficult to change, variables such as their level of job satisfaction can be increased in order to reduce their job turnover intention.


Medical Specialties | Medicine and Health Sciences | Osteopathic Medicine and Osteopathy

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