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Healthcare waste management: an interpretive structural modeling approach
Vikas Thakur1, Ramesh Anbanandam1
1Department of Management Studies, Indian Institute of Technology, Roorkee, India.
Summary
This study identifies key barriers in India's healthcare waste management (HCWM) system. It prioritizes these challenges to improve waste handling and protect public health and the environment.
Area of Science:
- Environmental Science
- Public Health
- Healthcare Management
Background:
- Infectious healthcare waste poses significant environmental and health risks globally.
- India's current healthcare waste management (HCWM) system faces limitations leading to inefficient practices.
Purpose of the Study:
- Identify critical barriers within India's HCWM systems.
- Classify issues into operational, tactical, and strategical levels for managerial insights.
- Categorize barriers based on driving and dependence power.
Main Methods:
- Barriers identified through literature review, field surveys, and brainstorming.
- Interpretive Structural Modeling (ISM) used to analyze interrelationships.
- Fuzzy-MICMAC analysis employed for barrier classification.
Main Results:
- 25 HCWM barriers identified and structured across 12 ISM hierarchy levels.
- Fuzzy-MICMAC analysis categorized barriers into driving and dependence power groups.
- Eight barriers in quadrant two, five in quadrant three, and 12 in quadrant four.
Conclusions:
- The study provides a prioritized framework for understanding HCWM barriers in India.
- Findings offer practical implications for hospital managers and Pollution Control Boards.
- Replication in other Indian states is recommended for broader strategy development.
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