Overemployment and underemployment of part-time pharmacists: Prevalence and connection to work-life characteristics

兼职药剂师的过度就业和就业不足:普遍程度及其与工作生活特征的关系

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Abstract

BACKGROUND: Overemployment and underemployment are associated with fluctuations in labor supply and can negatively impact psychosocial aspects of work and worker health. OBJECTIVES: The objectives of this study were to 1) determine the prevalence and characteristics of underemployment, overemployment and matched employment among part-time pharmacists; 2) examine differences in actual and ideal hours worked for overemployed and underemployed part-time pharmacists; and 3) test associations between overemployment, underemployment and matched employment and part-time pharmacists' perceptions of job quality and work-life characteristics. METHODS: Data for 636 pharmacists self-reporting working part-time (≤ 30 h/week) were extracted from the 2019 National Pharmacists Workforce Study. The difference in self-reported actual and ideal hours worked weekly was calculated and used to classify part-time pharmacists as overemployed, underemployed or matched employed. Differences between the variables were tested with multivariate ordinary least squares regression models. RESULTS: Being matched employed was most common (41.3 %) followed by underemployed (34.9 %) and being overemployed (23.8 %). Of underemployed respondents, over half (54.1 %) reported wanting to work full-time, which likely is reflective of the relatively loose national pharmacist labor market in 2019. Overemployed and underemployed respondents reported significantly lower levels of several of the work-life characteristics relative to those with matched employment. CONCLUSION: The higher rate of underemployment among pharmacists working part-time is consistent with the surplus of US pharmacists in 2019. The results show that for pharmacists working part-time, a lack of control over how much they work is negatively associated with job quality and work-life characteristics relative to pharmacists with work schedule control.

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