Advancing Sustainable Medical Waste Management: A Case Study on Waste Generation and Classification in a University Hospital Microbiology Laboratory

Ender Çetin, Ahmad Hussein and Sevgi Güneş-Durak ()
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Ender Çetin: Department of Environmental Engineering, Faculty of Engineering, Istanbul University-Cerrahpaşa, 34320 Istanbul, Türkiye
Ahmad Hussein: Department of Environmental Engineering, Faculty of Engineering, Istanbul University-Cerrahpaşa, 34320 Istanbul, Türkiye
Sevgi Güneş-Durak: Department of Environmental Engineering, Faculty of Engineering-Architecture, Nevsehir Haci Bektas Veli University, 50300 Nevsehir, Türkiye

Sustainability, 2025, vol. 17, issue 10, 1-21

Abstract: Effective medical waste management is crucial for minimizing environmental contamination, protecting occupational health, and advancing sustainability goals in healthcare systems. However, microbiology laboratories remain underexplored in waste characterization studies, despite their potential to contribute to sustainable healthcare operations. This study assessed waste generation patterns, classification accuracy, and the impact of training on regulatory compliance in a university hospital microbiology laboratory. Over 45 days, waste from six specialized units was categorized and weighed daily. A survey of 304 healthcare professionals evaluated their knowledge of medical waste handling. Statistical analyses revealed that training frequency (R 2 = 0.72, p < 0.01) was the most significant predictor of compliance, while years of experience had no measurable impact. On average, the laboratory generated 22.78 kg/day of medical waste, 11.67 kg/day of liquid waste, and 5.61 kg/day of sharps waste, with the bacteriology unit being the largest contributor. Despite adequate general awareness, 15% of staff misclassified hazardous waste—particularly expired pharmaceuticals and cytotoxic vials—indicating critical gaps in practice. The findings support the need for recurring training programs, stricter monitoring systems, improved waste labeling, and the integration of digital tracking tools. These interventions can reduce environmental burdens, enhance healthcare sustainability, and support the development of more resilient waste management systems in medical institutions. Future research should explore how AI and automation can further strengthen sustainable healthcare waste strategies.

Keywords: sustainable healthcare; medical waste management; environmental sustainability; waste classification; hospital microbiology laboratory (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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