A study to assess perceptions & practices regarding domestic biomedical waste management Among urban & rural inhabitants of Wardha district
Author(s): Laksh Shubhangi Agrawal*, Abhishek Joshi, Himabindu Reddy, Aditya Dhonde, Ashok Mehendale
Background: Biomedical waste (BMW) is any waste generated during the diagnosis, treatment, or vaccination of human or animal research subjects, or in the manufacture or testing of biological or pharmaceutical products, or in health camps as stated by WHO. There are different types of waste produced in different sectors like Domestic sector, Healthcare sector, Industrialization sector, IT sector, Agricultural sector, Municipal sector, Open areas Commercial, Institutional .Rapid urbanization, urban growth, and economic development have not only transformed the physical scale of cities, but they have also put a tremendous strain on infrastructural services across India. Domestic garbage accounts for at least 85% of all public waste. Because there are no guidelines for dealing with domestic biomedical waste, it is rarely separated from municipal waste. This is a possible health hazard not only for municipal workers and stray animals, but also for the general public. Essentially everyone should practice biomedical waste management in a safe and environmentally friendly manner. A clean and healthier environment is the outcome of good biomedical waste management. It has the potential to minimize pollution and the danger of disease. Aim and Objectives: This study aims to evaluate rural and urban residents' knowledge, attitudes, and perceptions of domestic BMW, to analyse how domestic BMW is used in both rural and urban regions and to raise awareness of BMW practices in both rural and urban regions. Methods: This will be Cross-sectional study planned in households around urban and rural health centers of our institution. Data will be collected by visiting the site, inspection, personal interviews regarding perceptions and practices of domestic bmw segregation treatment and disposal. Results: Results will be derived from the data collected after appropriate analysis.