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The purpose of this paper is to explore the drivers of healthcare waste management from literature review and field survey and model these drivers for understanding the inter-relationships among the drivers to enhance healthcare waste management in the Indian context.

In view of the need of the study, the interpretive structural modelling (ISM) method has been applied to model the drivers. The ISM method helps in depicting the relationships among the drivers and filtration of drivers on the basis of their driving and dependence power.

The findings of the study reveal that the type of a healthcare facility and its management structure, size of a healthcare facility, human resource management of a healthcare facility, healthcare facility’s management monitoring and control, and the effective re-enforcement of government regulation and policy implementation in a healthcare facility play a vital role in the enhancement of HCWM.

The application of the findings of this study would enhance the hospital’s waste management by ultimately leading to a good ambience and satisfied patients and personnels. Additionally, the study would aid in the policy formulation by government and decision making of medical facilities, thereby strengthening HCWM scenario in the country.

The drivers filtered in this study would be useful for ranking the hospitals’ healthcare waste management in a region/country. This ranking may play a vital role in earmarking the hospitals which are managing their healthcare waste according to the guidelines of Central Pollution Control Board (CPCB) and Ministry of Environment and Forest (MoEF) of a country. With the help of this study, the problem of inadequate human resource can be effectively addressed for CPCB and MoEF, in India.

Healthcare waste management is a vital issue which needs attention from the management perspective in India. Therefore, an interpretive structural model, i.e. ISM digraph, has been developed which would help in the filtration of drivers and attaining the better healthcare waste management in an economically and timely manner.

The paper aims to examine the healthcare waste management practices of selected hospitals in Ghana.

The study adopted a multiple case approach, using two public and two private hospitals.

Findings indicate that both public hospitals and one private hospital have a waste management policy. Public and private hospitals have waste management plans and waste management teams. Public hospitals were found to generate more waste than the private hospitals. One private hospital and the public hospitals segregate their waste into different categories. This is done by first identifying the waste type and then separating non-infectious or general waste from infectious waste. Both public and private hospitals have internal storage facilities for temporarily storing the waste before they are finally disposed off-site. On-site transportation in the public hospitals is done by using wheelbarrows, while covered bins with wheels are used to transport waste on-site in the private hospitals. In public and private hospitals, off-site transportation of the hospital waste is undertaken by Municipal Assemblies with the use of trucks. Both public and private hospitals employ standard methods for disposing of healthcare waste.

The article provides insights into healthcare waste management from a Ghanaian perspective.

The objective of this study is to systematically identify, categorize and assess the driving factors and interdependencies associated with various types of healthcare waste. The study specifically focuses on waste that has been managed or is recommended for treatment through the application of Lean Six Sigma (LSS) methodologies.

To accomplish the study’s objectives, interpretive structural modeling (ISM) was utilized. This analytical tool aided in quantifying the driving power and dependencies of each form of healthcare waste, referred to as “enablers,” as well as their related variables. As a result, these enablers were classified into four distinct categories: autonomous, dependent, linkage and drivers or independents.

In the healthcare sector, the “high cost” (HC) emerges as an autonomous variable, operating with substantial independence. Conversely, variables such as skill wastage, poor service quality and low patient satisfaction are identified as dependent variables. These are distinguished by their low driving power and high dependency. On the flip side, variables related to transportation, production, processing and defect waste manifest strong driving forces and minimal dependencies, categorizing them as independent factors. Notably, inventory waste (IW) is highlighted as a salient issue within the healthcare domain, given its propensity to engender additional forms of waste.

Employing the ISM model, along with comprehensive case study analyses, provides a detailed framework for examining the complex hierarchies of waste existing within the healthcare sector. This methodological approach equips healthcare leaders with the tools to accurately pinpoint and eliminate unnecessary expenditures, thereby optimizing operational efficiency and enhancing patient satisfaction. Of particular significance, the study calls attention to the key role of IW, which often acts as a trigger for other forms of waste in the sector, thus identifying a crucial area requiring focused intervention and improvement.

This research reveals new insights into how waste variables are structured in healthcare, offering a useful guide for managers looking to make their waste-reduction strategies more efficient. These insights are highly relevant not just for healthcare providers but also for the administrators and researchers who are helping to shape the industry. Using the classification and ranking model developed in this study, healthcare organizations can more easily spot and address common types of waste. In addition, the model serves as a useful tool for practitioners, helping them gain a deeper, more detailed understanding of how different factors are connected in efforts to reduce waste.

The purpose of this paper is to prioritize 21 healthcare wastes in public and private hospitals of United Arab Emirates (UAE).

Seven healthcare wastes linked with lean management are further decomposed in to sub-criteria and to deal with this complexity of multi criteria decision-making process, analytical hierarchical process (AHP) method is used in this research.

AHP framework for this study resulted in a ranking of 21 healthcare wastes in public and private hospitals of UAE. It has been found that management in private healthcare systems of UAE is putting more emphasis on the inventory waste. On the other hand, over processing waste has got highest weight in public hospitals of UAE.

The future directions of this research would be to apply a lean set of tools for the value stream optimization of the prioritized key improvement areas.

This is a contribution to the continuing research into lean management, giving practitioners and designers a practical way for measuring and implementing lean practices across health organizations.

The contribution of this research, through successive stages of data collection, measurement analysis and refinement, is a set of reliable and valid framework that can be subsequently used in conceptualization, prioritization of the waste reduction strategies in healthcare management.

Although healthcare and healthy living are integral to the Sustainable Development Goals (SDGs) for 2030, the coronavirus epidemic has dealt a devastating blow to these efforts. As governments and policymakers were compelled to shift their focus to lockdowns, sustenance, procurement, and distribution of vaccines, the momentum for health initiatives slowed, and the already fragile health systems of emerging markets were subjected to additional shocks. However, in many underserved regions of the globe, the introduction of technology has greatly facilitated the distribution and adoption of healthcare services.

This chapter highlights mini-cases from four emerging nations: Bangladesh, Nigeria, Vietnam, and the Philippines. Although the countries are emerging, each one of them are in a distinct stage of development and face a unique set of healthcare-related challenges. The chapter showcases how four different organizations based in these countries leveraged the use of technology to take healthcare services to underserved populations. In doing so, they addressed the key challenges of imparting healthcare: geographic accessibility, availability, financial accessibility, and acceptability.

This chapter concludes with a discussion of the implications of expanding healthcare industries leading to increased healthcare waste. To prevent mass population exposure to hazardous substances, the emergence of intelligent healthcare waste collection and disposal systems will be an absolute necessity. Hence, with the development of healthcare services, governments and policymakers need to mechanize smart waste management systems to safeguard humans, animals, and the environment.

The purpose of this paper is to introduce lean concept to the field of healthcare management, expands the conceptualization of lean management beyond the manufacturing companies to consider key waste reduction opportunities which are posited to be requisites to lean practices and implements the proposed framework in the three public hospitals in Abu Dhabi.

This research is designed by decomposing complex and unstructured issue into a set of components organized in a multi-level hierarchical form. To deal with this complexity of multi criteria decision-making process, analytical hierarchical process (AHP) method is used in this research.

AHP framework for this study resulted in a ranking of 21 healthcare wastes based on the evaluations of local situations by experienced healthcare professionals. It has been found that management in healthcare systems of Abu Dhabi is putting more emphasis on the inventory waste.

The future directions of the research would be to apply a lean set of tools for the value stream optimization of the prioritized key improvement areas.

This is a contribution to the continuing research into lean management, giving practitioners and designers a practical way for measuring and implementing lean practices across health organizations.

The contribution of this research, through successive stages of data collection, measurement analysis and refinement, is a set of reliable and valid framework that can be subsequently used in conceptualization, prioritization of the waste reduction strategies in healthcare management.

A direct correlation exists between waste disposal, disease spread and public health. This article systematically reviewed healthcare waste and its implication for public health. This review identified and described the associations and impact of waste disposal on public health.

This paper systematically reviewed the literature on waste disposal and its implications for public health by searching Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA), PubMed, Web of Science, Scopus and ScienceDirect databases. Of a total of 1,583 studies, 59 articles were selected and reviewed.

The review revealed the spread of infectious diseases and environmental degradation as the most typical implications of improper waste disposal to public health. The impact of waste includes infectious diseases such as cholera, Hepatitis B, respiratory problems, food and metal poisoning, skin infections, and bacteremia, and environmental degradation such as land, water, and air pollution, flooding, drainage obstruction, climate change, and harm to marine and wildlife.

Infectious diseases such as cholera, hepatitis B, respiratory problems, food and metal poisoning, skin infections, bacteremia and environmental degradation such as land, water, and air pollution, flooding, drainage obstruction, climate change, and harm to marine and wildlife are some of the public impacts of improper waste disposal.

Healthcare industry waste is a significant waste that can harm the environment and public health if not properly collected, stored, treated, managed and disposed of. There is a need for knowledge and skills applicable to proper healthcare waste disposal and management. Policies must be developed to implement appropriate waste management to prevent public health threats.

The purpose of this study is to see how the 5S-KAIZEN-TQM approach can contribute to improve the management of healthcare waste (HCW) in the regional level public hospitals in Tanzania.

This study employed an explanatory case study framework and focused on improvement of HCW management by assessing the information obtained through the direct observation and systematic interviewing during the consultation visits and external hospital performance assessment (EHPA) and the self-administrated questionnaires as sources of evidence.

Based on the observations, 100% adoption of the 5S approach was observed in 25 of 28 regional referral hospitals (RRHs). At these RRHs, segregation of HCW management has been improved by applying color codes and symbols for establishing self-explanatory system on proper segregation. In addition, seven out of 28 RRHs applied the KAIZEN process and reduced occurrences of improper waste segregation.

This study has the following limitations in terms of the information. The data were collected through the direct observation. Moreover, areas for the implementation of the KAIZEN vary from hospital to hospital, and only 25% of RRHs completed the KAIZEN processes for improvement of HCW management. Caveats are, therefore, needed in extrapolating the study results to other settings. Despite these caveats, the findings will provide important insights for implementing the 5S-KAIZEN approach in Tanzania and other African countries for improvement of HCW management.

This is an original study to provide evidence about the usefulness of the 5S-KAIZEN-TQM approach for improving HCW management in a low-income country in Africa.

The purpose of this paper is to determine water availability, sanitation and hygiene (WSH) services, and healthcare waste management in Jordan healthcare facilities.

In total, 19 hospitals (15 public and four private) were selected. The WSH services were assessed in hospitals using the WSH in health facilities assessment tool developed for this purpose.

All hospitals (100 percent) had a safe water source and most (84.2 percent) had functional water sources to provide enough water for users’ needs. All hospitals had appropriate and sufficient gender separated toilets in the wards and 84.2 percent had the same in outpatient settings. Overall, 84.2 percent had sufficient and functioning handwashing basins with soap and water, and 79.0 percent had sufficient showers. Healthcare waste management was appropriately practiced in all hospitals.

Jordan hospital managers achieved major achievements providing access to drinking water and improved sanitation. However, there are still areas that need improvements, such as providing toilets for patients with special needs, establishing handwashing basins with water and soap near toilets, toilet maintenance and providing sufficient trolleys for collecting hazardous waste. Efforts are needed to integrate WSH service policies with existing national policies on environmental health in health facilities, establish national standards and targets for the various healthcare facilities to increase access and improve services.

There are limited WSH data on healthcare facilities and targets for basic coverage in healthcare facilities are also lacking. A new assessment tool was developed to generate core WSH indicators and to assess WSH services in Jordan’s healthcare facilities. This tool can be used by a non-WSH specialist to quickly assess healthcare facility-related WSH services and sanitary hazards in other countries. This tool identified some areas that need improvements.

By applying a systematic literature review, this paper aims to identify the major healthcare problem domains (i.e. target areas) for lean supply chain management (LSCM) and to provide a list of the most common techniques for implementing LSCM in healthcare. Moreover, this study intends to investigate various contingency factors that may have influenced the selection of LSCM target areas or the application of LSCM techniques by healthcare organizations.

A systematic literature review was carried out following the method presented by Tranfield et al. (2003). Thereby, 280 peer-reviewed journal articles, published between 1995 and 2018, were selected, profiled and reviewed. In total, 75 papers were also selected for a qualitative analysis, known as meta-study, on the basis of high relevancy to the research objectives.

This work extracts, from previous research, a set of target areas for improving supply chain in healthcare by applying lean approaches. The work also unifies the language of lean thinking and supply chain in healthcare by defining metaphors in circumstances under which healthcare organizations pursue similar objectives from their supply chain management and lean programs (Schmitt, 2005). This paper also outlines a list of applications of lean for supply chain improvement in healthcare. Finally, a set of contingency factors in the field of lean supply chain in healthcare is found via the published literature.

This paper provides insights for decision-makers in the healthcare industry regarding the benefits of implementing LSCM, and it identifies contingency factors affecting the implementation of LSCM principles for healthcare. Implementing LSCM can help healthcare organizations improve the following domains: internal interaction between employees, supply chain cost management, medication distribution systems, patient safety and instrument utilization.

The research shows potential synthesis of LSCM with the healthcare industry’s objectives, and, thus, the outcome of this research is likely to have positive influence on the quality and cost of healthcare services. The objectives of the healthcare industry are cost reduction and providing better service quality, and LSCM implementation could be an effective solution to help healthcare to achieve these objectives.

The prime value of this paper lies in conducting a systematic literature review using a meta-study to identify the major factors of implementing LSCM in healthcare. Only a few other studies have been published in the literature about LSCM in healthcare.