Date of Conferral

12-1-2025

Date of Award

December 2025

Degree

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

School

Health Services

Advisor

Miriam Ross

Abstract

A sizeable number of U.S. heart failure patients are readmitted within 30 days of hospital discharge. There was a need to explore ways to reduce this number and improve the care of heart failure patients when they are discharged home. The purpose of this quantitative correlational study was to determine if there is a relationship between age, gender, and race of heart failure patients and 30-day readmissions in the U.S. state of Mississippi in 2019. The dependent variable was heart failure 30-day readmissions, and the independent variables were age, gender, and race. Wagner’s chronic care model was the theoretical framework for this study and supported the purpose through a focus on quality care and improved patient outcomes. Data were obtained from the Healthcare Cost and Utilization Project State Inpatient Database for 2019. The results of the binary logistic regression analyses showed that both gender (χ2 (1) = 5.234, p = .022) and age (χ2 (5) = 18.990, p = .002) groups were significant predictors of the 30-day readmission of patients. However, race was not a significant predictor of 30-day readmission of patients. The results showed that individuals aged 50–59 are more likely to be readmitted within 30 days than other age groups, and men tend to have higher readmission rates than women. These findings underscore the value of a standardized chronic care model for disease management. By better understanding the effects of age, gender, and race on heart failure readmissions, health care administrators may take actions to avoid initial heart failure hospitalizations. The study’s implications for positive social change include awareness of the diverse health care requirements among heart failure patients, enabling the development of enhanced strategies to address these needs and improve patient outcomes.

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