THE DEVELOPMENT OF A LOGICAL MODEL BASED ON PATIENTS' SOCIOECONOMIC STATUS TO IDENTIFY THE MOST FINANCIALLY CONSTRAINED PATIENTS IN A MULTI-SPECIALTY TERTIARY CARE HOSPITAL

Background: Multispecialty tertiary care hospitals face the challenge of allocating limited funds effectively to deserving patients, considering their medical needs and socioeconomic circumstances. This study aims to develop a logical model to e Objective: nhance the efciency of fund allocation processes in such hospitals, ensuring equitable access to healthcare services. The propos Methods: ed model integrates factors such as severity of illness, treatment costs, available resources, and patient eligibility criteria into a structured framework for equitable and effective fund allocation. Based on the newly developed fund allocation model, a linear graph was plotted with the Results: total score of 195 patients against the subsidy percentage provided. The equation obtained from the trend line analysis is represented as y = 1.7787x - 42.262, where 'y' represents the subsidy percentage and 'x' represents the total score of the patients. The logical model presented i Conclusion: n this study provides a systematic approach to optimize fund allocation in multispecialty tertiary care hospitals, ultimately improving the quality of care provided to patients and promoting equity in healthcare delivery