Background: Patient satisfaction is critical for healthcare utilization in resource-constrained settings like Bangladesh, yet evidence on outpatient satisfaction determinants remains limited. This study assessed perceived service quality and identified predictors of satisfaction in a public medical college hospital. Methods: A cross-sectional study (March–May 2025) recruited 1,089 adult outpatients via systematic random sampling. Data were collected using validated Bengali instruments measuring perceived quality (24 items) and satisfaction (14 items). Binary logistic regression was used to identify significant predictors (p < 0.05). The model was validated using the area under the curve (AUC), pseudo-R 2 , and classification accuracy. Results were reported as odds ratios with 95% confidence intervals. Data entry, editing, and analysis were performed using SPSS and Jamovi software. Results: Participants (mean age 34±15.64 years; 51.5% male; 63.0% rural) reported positive physician interactions (e.g., 56.7% felt respected). Critical deficiencies included poor toilet cleanliness (75.5%), inadequate drinking water (67.6%), and medication shortages (30.6%). Female patients reported insufficient consultation time (17.5%). Regression analysis (AUC=0.92) revealed higher satisfaction among males (AOR=1.79, 95% CI: 1.02–3.16), suburban residents (vs. rural; AOR=2.01, 1.06–3.81), businesspersons (vs. students; AOR=2.89, 1.19–7.04), and those with prior positive experiences (AOR=1.50, 1.42–1.58). Upper-middle-class patients had lower satisfaction (AOR=0.40, 0.20–0.79). Positive perceptions of management and administration independently increased satisfaction (AOR=1.14 for both). Conclusion: Patient satisfaction in a Bangladeshi public hospital outpatient department is influenced by multifaceted determinants: demographics, service experiences, and perceived quality. Key predictors of higher satisfaction included male gender, suburban residence, business occupation, positive prior experiences, and perceived administrative quality. Conversely, upper-middle-class status and female gender predicted lower satisfaction, indicating equity concerns. These findings necessitate urgent, targeted improvements in non-clinical areas (administration, resource logistics, facility environment) and gender-sensitive, equity-focused interventions to enhance satisfaction, trust, and service utilization.
Karim et al. (Tue,) studied this question.