Journal of Healthcare Administration and POLICY

The Journal of Healthcare Administration and Policy serves as a professional development platform for graduate students enrolled in the Master of Healthcare Administration (MHA) program at Charter Oak State College in New Britain, Connecticut. Through direct, hands-on experience with manuscript preparation and scholarly publication, students cultivate the research, analytical, and professional writing skills essential for leadership roles in healthcare administration. The Journal complements students' advanced coursework in healthcare management and policy while providing meaningful exposure to the standards and practices of academic publishing.

Each issue features original research manuscripts by MHA students, the culminating product of their required Capstone course. Topics are student-selected and faculty-approved, reflecting each author's professional interests and areas of expertise within the field. The resulting works demonstrate both scholarly rigor and practical insight — representing the breadth of contemporary healthcare administration and the diverse backgrounds of our student body.

The Journal follows a structured indexing system in which volumes correspond to academic years, and issues correspond to semesters, ensuring consistent organization and ease of reference for readers and researchers alike. The current volume features article visualizations produced with the assistance of generative AI technology, reflecting the Journal's commitment to embracing emerging tools in healthcare administration education and scholarship.

All manuscripts are freely accessible online through the Journal's website, professionally designed and developed by Tara Vermette of Tru Blue Design. While all published works are available at no cost to readers, they remain protected by copyright. All rights reserved. © Journal of Healthcare Administration and Policy.

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This project addresses the healthcare administrative issue of excessive wait times in hospital emergency departments. Long wait times frustrate patients during hospital visits because they must wait a long time to receive medical care, and the situation is even worse in Emergency Rooms (ERs), where urgency is critical. Furthermore, it negatively affects hospital operational efficiency and patient outcomes. This study examines the impact of wait times in emergency rooms on overall patient satisfaction by analyzing how different segments of wait time in the emergency department, including the time it takes to complete patient registration, triage assessment, and see a medical doctor or other healthcare professional, affect patient satisfaction. The study employs a non-experimental research design by analyzing a secondary survey dataset of 5,000 patient participants. The researcher uses descriptive statistics, correlation analysis, and multiple linear regression analysis to determine which segments of the emergency department have the greatest statistically significant impact on patient satisfaction scores, thereby informing healthcare administrators about which segments need priority when implementing efficient patient flow interventions and allocating resources to enhance overall patient satisfaction levels and experiences in the ER.
Volume 4
|
Issue 2
By:
Rachel
Cruz
This project addresses the healthcare administrative issue of excessive wait times in hospital emergency departments. Long wait times frustrate patients during hospital visits because they must wait a long time to receive medical care, and the situation is even worse in Emergency Rooms (ERs), where urgency is critical. Furthermore, it negatively affects hospital operational efficiency and patient outcomes. This study examines the impact of wait times in emergency rooms on overall patient satisfaction by analyzing how different segments of wait time in the emergency department, including the time it takes to complete patient registration, triage assessment, and see a medical doctor or other healthcare professional, affect patient satisfaction. The study employs a non-experimental research design by analyzing a secondary survey dataset of 5,000 patient participants. The researcher uses descriptive statistics, correlation analysis, and multiple linear regression analysis to determine which segments of the emergency department have the greatest statistically significant impact on patient satisfaction scores, thereby informing healthcare administrators about which segments need priority when implementing efficient patient flow interventions and allocating resources to enhance overall patient satisfaction levels and experiences in the ER.
Published:
June 5, 2026
View Manuscript
Problem: Healthcare employee engagement suffers from burnout, understaffing, poor leadership, and underappreciation, leading to higher turnover and impacting patient care. Addressing this requires a systematic, evidence-based approach. Post-COVID, low engagement among frontline staff, like nurses, causes administrative issues, including high turnover and absenteeism. Many strategies aim to improve engagement, but this research synthesizes evidence on effective nursing interventions since the COVID-19 pandemic. Identifying these strategies helps create supportive work environments, improve staff well-being, and enhance patient outcomes (George & Massey, 2020).
Volume 4
|
Issue 2
By:
Gerson
Flores Cantos
Problem: Healthcare employee engagement suffers from burnout, understaffing, poor leadership, and underappreciation, leading to higher turnover and impacting patient care. Addressing this requires a systematic, evidence-based approach. Post-COVID, low engagement among frontline staff, like nurses, causes administrative issues, including high turnover and absenteeism. Many strategies aim to improve engagement, but this research synthesizes evidence on effective nursing interventions since the COVID-19 pandemic. Identifying these strategies helps create supportive work environments, improve staff well-being, and enhance patient outcomes (George & Massey, 2020).
Published:
June 5, 2026
View Manuscript