Date of Conferral

7-29-2025

Degree

Doctor of Healthcare Administration (D.H.A.)

School

Public Policy and Administration

Advisor

Miriam Ross

Abstract

Hospitals struggle to maintain nursing staff to meet patient needs for a population that requires continuous care and experiences multiple illnesses. The purpose of this quantitative study was to investigate the variations in reasons for leaving the nursing profession (dependent variable) based on age, race, and gender (independent variables) within community hospitals in Michigan. The theoretical framework for this study was the Nursing Neuman Systems Model, which posits that nursing comprises four key components: environment, individual, nursing practice, and health. A correlational research design was utilized to address the research question and analyze the relationships between the variables. The secondary data were obtained from the Michigan Annual Nurse Survey Project for the year 2023. A binary logistic regression analysis was used to analyze the data for each reason provided for leaving the nursing profession. Study findings showed that gender influenced some reasons nurses chose to leave the profession, but race was a more significant factor. Age influenced nurses leaving in categories one would expect, such as for retirement or in younger nurses for pursuing higher educational endeavors. Several reasons given for leaving were found to be significant in all three variables of age, race, and gender. This study provides a detailed guide for healthcare administrators to examine the trends affecting nurses' decisions to leave the profession. The study identified factors related to age, race, and gender that contribute to the development of workplace practices aimed at supporting positive social change.

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