A large percentage of hospital readmissions are from skilled nursing facilities resulting in significant financial penalties. The purpose of this quantitative, correlational research study was to examine whether nurse staffing levels and nurses’ job satisfaction significantly predict 30-day hospital readmission rates from skilled nursing facilities. The study population was nursing staff employed in skilled nursing facilities providing services throughout the state of Tennessee. The skilled nursing facilities who were members of the Tennessee Health Care Association (THCA) Knoxville District were recruited for participation in the study. The sample for the study consisted of the nursing staff employed in the THCA Knoxville District skilled nursing facilities. The sample size for the study was 125 nursing staff among six skilled nursing facilities. The McCloskey/Mueller Satisfaction Scale was used to measure nurses’ job satisfaction and nurse staffing levels and 30-day hospital readmission rates were obtained from the Centers for Medicare and Medicaid Nursing Home Compare website. A multiple regression analysis was used to analyze the data. The results of the research study indicated nurse staffing levels and nurses’ job satisfaction statistically significantly predict 30-day hospital readmission rates from skilled nursing facilities. Recommendations to healthcare leaders were suggested to ensure strong nurse staffing levels and to work diligently to improve nurses’ job satisfaction which could improve patient outcomes and reduce 30-day hospital readmission rates.