Healthcare Demand and the Adequacy of Its Impact on Patient Satisfaction and Quality Outcomes: A Structural Equation Modeling Approach

Anber Abraheem Shlash Mohammad; Main Naser Alolayyan; Suleiman Ibrahim Shelash Mohammad; Khaleel Ibrahim Al- Daoud; Badrea Al Oraini; Asokan Vasudevan; Mohammad Faleh Ahmmad Hunitie

doi:10.63332/joph.v5i1.654

Authors

Anber Abraheem Shlash Mohammad Digital Marketing Department, Faculty of Administrative and Financial Sciences, Petra University, Jordan
Main Naser Alolayyan Department of Health Management and Policy, Faculty of Medicine, Jordanian University of Science and Technology
Suleiman Ibrahim Shelash Mohammad Electronic Marketing and Social Media, Economic and Administrative Sciences Zarqa University, Jordan; Research follower, INTI International University, 71800 Negeri Sembilan, Malaysia
Khaleel Ibrahim Al- Daoud Department of Accounting, Business School Faculties, Al Ahilya Amman University, Amman, Jordan
Badrea Al Oraini Department of Business Administration . Collage of Business and Economics, Qassim University, Qassim – Saudi Arabia
Asokan Vasudevan Faculty of Business and Communications, INTI International University, 71800 Negeri Sembilan, Malaysia
Mohammad Faleh Ahmmad Hunitie Department of Public Administration, School of Business, University of Jordan, Jordan

DOI:

https://doi.org/10.63332/joph.v5i1.654

Keywords:

Healthcare, Demand, Adequacy, Quality, Jordan

Abstract

This research aims to investigate the impacts of healthcare demand and the adequacy of healthcare on patient satisfaction and healthcare quality outcomes in an effort to clarify their relationships. This study employed a quantitative approach to conduct correlational cross-sectional research, specifically utilizing a survey approach by using a convenience sampling technique. The study sample comprises 211 participants who have utilized medical services. The study employed Structural Equation Modelling (SEM) to examine the proposed hypotheses and investigate the relationships among the four study variables.The study results indicated that all relationships between the study variables were positive and statistically significant, suggesting that improving one variable leads to a significant improvement in the others. Statistical analyses further revealed that the mediating variable plays a partial role in explaining the relationship between independent and dependent variables. This means that the effect of the independent variable on the dependent variable is not entirely contingent on the presence of the mediating variable but rather contributes to strengthening the relationship between them. These findings emphasize the importance of considering all variables when designing health policies and strategies to achieve optimal outcomes.