A Model for Predicting Medical Solid Waste in Hilla City, Iraq

Abstract

Introduction: To improve current practices and create the most effective healthcare waste treatment system, solid medical waste composition needs to be analyzed. This  study aims to develop models to predict the rate of medical waste production in hospitals in Hilla city, Iraq. Predictive mode can be used to set standards, evaluate current methods for treating and disposing medical waste, and optimize healthcare solid waste management systems. Materials and Methods: Predictive models and long-term data on the composition and rate of solid medical waste generation were developed using a longitudinal study design. A standardized questionnaire and weighted scale were used to measure solid medical waste generated from the five public hospitals. Statistics were used to create models predicting the amount of waste generated at each hospital. Results: These models demonstrated a significant correlation between inpatient and outpatient numbers and waste generation. Different hospitals treat different numbers of inpatients and outpatients. Different models have been created based on various types of hospitals. Conclusion: Linear rule-based models accurately represent the weights of variables, identify the sources and implications of solid medical waste, and control waste levels by using a variety of parameters. The research model can help in the development of an effective strategic plan for setting up a medical solid waste (MSW) management system.