Md. Khalid Syfullah
Department of Public Administration, University of Dhaka, Dhaka, Bangladesh.
Farhana Jakia Tamanna
Department of Public Administration, University of Dhaka, Dhaka, Bangladesh.
Tawkir Ahmad
Department of Public Administration, University of Dhaka, Dhaka, Bangladesh.
Nazmul Islam Fuad
Department of Public Administration, University of Dhaka, Dhaka, Bangladesh.
Md Abu Bakkar Siddik
The Center for Social Policy and Justice, Dhaka, Bangladesh.
State Key Laboratory of Water Pollution Control and Green Resource Recycling, School of the Environment, Nanjing University, Nanjing, China.
Background: During COVID-19 pandemic, Bangladesh tried to combat the crisis with its limited capability and resources at different tiers of health systems. This study aimed to assess patient satisfaction with the healthcare quality of Madhupur Upazila Health complex (MUHC) during COVID-19 pandemic.
Methods: This study followed a cross-sectional quantitative design. Using a structured questionnaire, developed based on a modified SERVQUAL model, data were collected during December 2021–March 2022 from systematically (every fourth attendee) chosen 120 patients (N=120) of the MUHC of Tangail, Dhaka, Bangladesh. Descriptive statistics summarized the socio-demographic characteristics and patient satisfaction levels. Pearson’s correlation analysis examined the relationships among variables, while multiple regression analysis identified factors associated with patient satisfaction.
Results: The study identified a moderate level of patient satisfaction (2.95 ± .829) with overall healthcare services of the MUHC. The SERVQUAL factors, accessibility (3.07 ± .904), reliability (3.18 ± .888), tangibility (3.05 ± .721), responsiveness (3.08 ± .857), and empathy (3.08 ± .834) received moderate patient satisfaction. Pearson’s correlation analysis indicated that all variables, except accessibility, were significantly correlated (p<.01). A hierarchical regression analysis showed that only reliability and responsiveness are significantly associated with patient satisfaction (p<.01) in model 1 (R2 = .731, F (5, 114) = 62.102, P < .001, F change P<.001) and model 2 (R2 = .744, F (4, 110) = 35.558, P < .001, F Change P>.001). Note that, the inclusion of socio-demographic variables (age, sex, education, and income) in Model 2 did not significantly improve the model’s predictive power, nor were these variables significantly associated with patient satisfaction.
Conclusion: The MUHC’s healthcare the quality did not meet the adequate level of patient satisfaction, specifically during COVID-19 pandemic. Immediate policy interventions are required to enhance the quality of health services across all service quality dimensions.
Patient Satisfaction; Healthcare Quality; COVID-19; SERVQUAL Model; Upazila Health Complex; Bangladesh.
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