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Abstract
COMPARATIVE ANALYSIS OF MEDICAL RECORD-KEEPING PRACTICES IN PUBLIC AND PRIVATE HOSPITALS IN BANGLADESH: IMPLICATIONS FOR HEALTH SYSTEM QUALITY
*Jay Priya Barua, Ratna Das, Tripti Rani Dey
ABSTRACT
Background: Medical record-keeping is a fundamental component of health information systems, directly influencing the quality, continuity, and efficiency of healthcare delivery. In Bangladesh, disparities between public and private healthcare sectors in record management practices remain insufficiently explored. Objective: To compare medical record-keeping practices between public and private hospitals in Bangladesh and assess their implications for health system quality. Methods: A comparative cross-sectional study was conducted among hospital staff, patients, and patient attendants in selected public and private hospitals in Bangladesh. Data were collected using structured questionnaires and observation checklists focusing on system performance, infrastructure, user experience, and satisfaction. Statistical analyses, including descriptive statistics and inferential tests (t-test and chi-square), were performed to determine differences between groups. Results: Significant differences were observed between public and private hospitals in terms of infrastructure, ICT support, and system usability (p<0.005). Public hospitals faced major challenges such as limited ICT resources, inadequate training, and slow system performance, whereas private hospitals demonstrated relatively better system functionality. However, public hospitals reported higher mean satisfaction scores in medical record-keeping (3.675 ± 0.47) compared to private hospitals (3.163 ± 0.62), with a statistically significant mean difference of 0.512 (p<0.001). Socio-demographic factors, particularly income and occupation, were also significantly associated with hospital utilization patterns. Conclusion: Medical record-keeping practices differ substantially between public and private hospitals in Bangladesh. Strengthening ICT infrastructure, improving workforce capacity, and ensuring system standardization are essential to enhance data quality, efficiency, and overall healthcare service delivery.
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