Healthcare waste management: an interpretive structural modeling approach

2016 ◽  
Vol 29 (5) ◽  
pp. 559-581 ◽  
Author(s):  
Vikas Thakur ◽  
Ramesh Anbanandam
Keyword(s):  
Waste Management ◽  
Structural Modeling ◽  
World Health ◽  
Interpretive Structural Modeling ◽  
Indian States ◽  
Content Type ◽  
Healthcare Waste ◽  
Micmac Analysis ◽  
Healthcare Waste Management ◽  
Health Organization

Purpose – The World Health Organization identified infectious healthcare waste as a threat to the environment and human health. India’s current medical waste management system has limitations, which lead to ineffective and inefficient waste handling practices. Hence, the purpose of this paper is to: first, identify the important barriers that hinder India’s healthcare waste management (HCWM) systems; second, classify operational, tactical and strategical issues to discuss the managerial implications at different management levels; and third, define all barriers into four quadrants depending upon their driving and dependence power. Design/methodology/approach – India’s HCWM system barriers were identified through the literature, field surveys and brainstorming sessions. Interrelationships among all the barriers were analyzed using interpretive structural modeling (ISM). Fuzzy-Matrice d’Impacts Croisés Multiplication Appliquée á un Classement (MICMAC) analysis was used to classify HCWM barriers into four groups. Findings – In total, 25 HCWM system barriers were identified and placed in 12 different ISM model hierarchy levels. Fuzzy-MICMAC analysis placed eight barriers in the second quadrant, five in third and 12 in fourth quadrant to define their relative ISM model importance. Research limitations/implications – The study’s main limitation is that all the barriers were identified through a field survey and barnstorming sessions conducted only in Uttarakhand, Northern State, India. The problems in implementing HCWM practices may differ with the region, hence, the current study needs to be replicated in different Indian states to define the waste disposal strategies for hospitals. Practical implications – The model will help hospital managers and Pollution Control Boards, to plan their resources accordingly and make policies, targeting key performance areas. Originality/value – The study is the first attempt to identify India’s HCWM system barriers and prioritize them.

Modeling the factors affecting the quality of life in diabetic patients in India using total interpretive structural modeling

2019 ◽  
Vol 26 (3) ◽  
pp. 951-970 ◽  
Author(s):  
Puneeta Ajmera ◽  
Vineet Jain
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Structural Modeling ◽  
World Health ◽  
Psychological State ◽  
Diabetic Patients ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Micmac Analysis

Purpose Diabetes mellitus has become a major world health problem that has unenviable impacts on health of the people including quality of life (QOL) also and in which person’s physical and psychological state, social commitments and relationships and his interaction with the environment is affected. This shows that there is an urgent need for behavior change and considerable educational strategies for proper management and rehabilitation (Reddy, 2000). This research has identified and ranked the significant factors which affect the QOL in diabetic patients in India. The paper aims to discuss these issues. Design/methodology/approach In this paper, nine factors which affect the QOL in diabetic patients in India have been identified through review of the literature and evaluated by total interpretive structural modeling (TISM) approach, i.e. an extended version of ISM. In this approach, interpretations of the interrelationship among factors have been discussed. Therefore, TISM approach has been used to develop the model and the mutual interactions among these factors. Findings The results of the model and MICMAC analysis indicate that diet restriction, body pain and satisfaction with treatment are the top-level factors. Practical implications Identification of the factors that have a remarkable effect on the QOL in diabetic patients is very important so that the doctors and other healthcare professionals may handle these factors efficiently and proper rehabilitation can be provided to such patients. Originality/value This paper has used an application of the TISM approach to interpret the mutual relationship by using the tool of interpretive matrix and has developed a framework to calculate the drive and the dependence power of factors using MICMAC analysis. The issues related to QOL are extremely important, as they can strongly anticipate a person’s capability to govern his lifestyle with disease like diabetes mellitus and maintain good health in the long run. This shows the urgent requirement of an optimized model which can predict and interpret the relationships among these factors. In this research, the interrelationships among these factors have been developed and interpretations of these interactions have been given to develop a comprehensive model so that QOL of diabetic patients may be improved.

scholarly journals Nomenclature for Healthcare Waste in the Healthcare Sector and Its Alignment with the Provisions Made by The World Health Organization’s Manual for Healthcare Waste Management: A Scoping Review

Recycling ◽  
2018 ◽  
Vol 3 (4) ◽  
pp. 51
Author(s):  
Lydia Hangulu
Keyword(s):  
Waste Management ◽  
Healthcare Workers ◽  
World Health ◽  
Healthcare Sector ◽  
Middle Income ◽  
Healthcare Facilities ◽  
Healthcare Waste ◽  
The World ◽  
Healthcare Waste Management ◽  
Health Organization

There is lack of uniform nomenclature for healthcare waste (HCW) globally, which could undermine efforts to develop and implement appropriate policies relating to healthcare waste management (HCWM) in developing countries. This study sought to understand the terminologies used to describe HCW, including their definitions, categories, classification, and how they align with those that are provided by the World Health Organization (WHO)’s global manual for HCWM from healthcare facilities. The study first identified terms from the existing literature; then, it conceptually mapped the literature, and identified gaps and areas of further inquiry. Six electronic databases—EBSCOhost, Open Access, ProQuest, PubMed, Web of Science, and Google Scholar were used to search for literature. A total of 112 studies were included in the study. Despite having various nomenclature for HCW globally that align with those provided by the WHO manual, the use of varying nomenclature could create confusion among healthcare workers in the quest of managing HCW properly, especially in low and middle-income countries (LMICs). Further studies must be conducted to determine how these terminologies are interpreted and implemented in practice by healthcare workers. This will help to understand how their implementation aligns with the recommendations provided by the WHO manual.

scholarly journals Healthcare Waste, Pandemic Covid-19: A Case of India

2021 ◽  
Vol 20 (5) ◽  
Author(s):  
Dinesh Kumar ◽  
Sukesh Trikha ◽  
Ranju Anthony
Keyword(s):  
Waste Management ◽  
Human Health ◽  
Social Impact ◽  
Waste Reduction ◽  
World Health ◽  
Healthcare Waste ◽  
The Social ◽  
Future Challenges ◽  
The Times ◽  
Health Organization

The present pandemic, while causing economic slowdown and global panic, also generated healthcare waste in unprecedented amounts across the globe, due to mass screenings/diagnosing/treatment. This paper aims to explore the prospects of the current and future challenges with respect to the risk to human health due to environmental contamination with the healthcare waste generated as a result of and caused by the Covid-19 pandemic in the Indian context. Peer-reviewed literature with respect to healthcare waste generation during the pandemic, its burden, challenges, and policies promulgated during the pandemic and their implications for the future was searched on various databases like PubMed, Google Scholar, and Science Direct and reviewed. Many research studies and international reports have demonstrated that the quantity of biomedical waste has increased in the times of the Covid-19 pandemic across the globe. Additionally, the danger of general waste getting contaminated has also multiplied, in part due to increased quarantine facilities and home quarantines, along with hospitals managing Covid-19 patients and also due to inadequate segregation at the point of generation of such waste, which is a major concern in itself. The occupational exposure of this increased waste to hospital and municipal waste collection workers has also increased, though World Health Organization (WHO) declines having any evidence of transmission of coronavirus while handling healthcare waste. Enough policies existed before the pandemic and few newer guidelines are also issued to address various additional aspects, which are to be implemented to manage the healthcare waste, minimize threats to the environment and human health. Cleaner, greener waste management facilities, the inclusion of bio-disaster in disaster management, the social impact of waste management policies, and waste reduction are to be prioritized.

Modeling Deming’s quality principles to improve performance using interpretive structural modeling and MICMAC analysis

2019 ◽  
Vol 36 (7) ◽  
pp. 1159-1180 ◽  
Author(s):  
Nishant Mukesh Agrawal
Keyword(s):  
Manufacturing Industry ◽  
Structural Modeling ◽  
Total Quality ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Practical Applications ◽  
Micmac Analysis ◽  
Significant Relationships ◽  
Quality Principles ◽  
Quality Framework

Purpose The purpose of this paper is to study the 14 principles of Edwards Deming and create significant relationships between them. No research has been reported on the implementation of Total Quality Management (TQM) using Deming’s 14 principles. To fill this gap, Interpretive Structural Modeling (ISM) and MICMAC analysis have been developed to understand mutual interactions among variables and find both the dependence and driving power of these variables. Design/methodology/approach The research paper discusses a blend of practical applications and introduces a theoretical framework. An ISM-based methodology is used to study and examine interactions between identified variables, while MICMAC analysis is used to identify the dependence and driving power. Findings This research utilizes Deming’s 14 quality principles, with experts from academia and industry consulted to identify contextual relationships among variables. The result shows that the stated principles “take action to accomplish the transformation,” “institute training,” “encourage education to employees” and “institute leadership” are strategic requirements, while “drive out fear,” “break down barrier between staff areas” and “eliminate numerical quotas” are tactical requirements. “Adopt the new philosophy,” “create constancy in improvement of product and service” and “cease dependence on mass inspections” are operational requirements for TQM applications. Originality/value An ISM-based quality framework, dependence power and driving power of variables using MICMAC analysis have been recommended to the service and manufacturing industry as a new focus area in the implementation of TQM.

Application of total interpretive structural modeling for analyzing factors of additive manufacturing and industry 4.0 integration

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vishal Ashok Wankhede ◽  
Vinodh S.
Keyword(s):  
Additive Manufacturing ◽  
Industry 4.0 ◽  
Structural Model ◽  
Matrix Multiplication ◽  
Structural Modeling ◽  
Influential Factors ◽  
Time Data ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Micmac Analysis

Purpose The purpose of this paper is to develop a model based on the total interpretive structural modeling (TISM) approach for analysis of factors of additive manufacturing (AM) and industry 4.0 (I4.0) integration. Design/methodology/approach AM integration with I4.0 is attributed due to various reasons such as developing complex shapes with good quality, real-time data analysis, augmented reality and decentralized production. To enable the integration of AM and I4.0, a structural model is to be developed. TISM technique is used as a solution methodology. TISM approach supports establishing a contextual relationship-based structural model to recognize the influential factors. Cross-impact matrix multiplication applied to classification (MICMAC) analysis has been used to validate the TISM model and to explore the driving and dependence power of each factor. Findings The derived structural model indicated the dominant factors to be focused on. Dominant factors include sensor integration (F9), resolution (F12), small build volumes (F19), internet of things and lead time (F14). MICMAC analysis showed the number of driving, dependent, linkage and autonomous factors as 3, 2, 12 and 3, respectively. Research limitations/implications In the present study, 20 factors are considered. In the future, additional factors could be considered based on advancements in I4.0 technologies. Practical implications The study has practical relevance as it had been conducted based on inputs from industry practitioners. The industry decision-makers and practitioners may use the developed TISM model to understand the inter-relationship among the factors to take appropriate measures before adoption. Originality/value The study on developing a structural model for analysis of factors influencing AM and I4.0 is the original contribution of the authors.

Modeling reconfigurability in supply chains using total interpretive structural modeling

2017 ◽  
Vol 14 (2) ◽  
pp. 194-221 ◽  
Author(s):  
Pallab Biswas
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
New Product Development ◽  
Structural Changes ◽  
Structural Modeling ◽  
Global Market ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Micmac Analysis ◽  
Expert Opinions

Purpose The purpose of this paper is to identify, analyze, and categorize the major enablers of reconfigurability that can facilitate structural changes within a supply chain in a global scenario. The paper also addresses five reconfigurability dimensions in the perspective of supply chains and the major enablers to attain them. The paper further aims to understand the mutual interactions among these enablers through the identification of hierarchical relationships among them. Design/methodology/approach A framework that holistically considers all the major enablers of reconfigurability has been developed. The hierarchical interrelationships between major enablers have been presented and interpreted using a novel qualitative modeling technique, i.e., total interpretive structural modeling (TISM), which is an extension of ISM. SPSS 22.0 is employed to carry out a one-tailed one-sample t-test further to test the hypotheses for validating the results of TISM. Impact matrix cross-reference multiplication applied to a classification (MICMAC) analysis has been employed to identify the driving and dependence powers of these reconfigurability enablers. Findings In this paper, 15 enablers for reconfigurability paradigm have been identified through literature review and expert opinions. The authors established interrelationships and interdependencies among these enablers and categorized them as enablers of each dimension. New product development and customer satisfaction come at the highest level of priority. The levels of these enablers were obtained using TISM. The authors compared the results with the clusters derived from MICMAC analysis, and the results are found to be well within the acceptable range. Research limitations/implications The study has implications for both practitioners and academia. The work provides a comprehensive list of enablers that are relevant to reconfigure supply chains in today’s volatile global market. This research will also help decision makers to strategically focus on the top-level enablers and their concerned dimensions. The research is based on an automobile company case study and can be extended to products with volatile and changing demands. Originality/value The proposed model for reconfigurability enablers using TISM is a new effort altogether in the area of supply chain management. The novelty of this research lies in its identification of specific enablers to reconfigure a supply chain through different dimensions.

Modelling the drivers of healthcare waste management in India: a policy perspective

2018 ◽  
Vol 29 (3) ◽  
pp. 456-471
Author(s):  
Ankur Chauhan ◽  
Amol Singh
Keyword(s):  
Waste Management ◽  
Human Resource ◽  
Structural Model ◽  
Healthcare Facility ◽  
Policy Formulation ◽  
Vital Role ◽  
Content Type ◽  
Healthcare Waste ◽  
Healthcare Waste Management ◽  
Interpretive Structural Model

Purpose 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. Design/methodology/approach 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. Findings 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. Research limitations/implications 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. Practical implications 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. Originality/value 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.

scholarly journals ASSESSMENT OF KITCHEN WASTE GENERATED IN A MATERNITY HOSPITAL: A CASE STUDY IN BRAZIL

2017 ◽  
Vol 39 (2) ◽  
pp. 402
Author(s):  
Leonardo De Lima Moura ◽  
Claudio Fernando Mahler ◽  
Heitor Mansur Caulliraux
Keyword(s):  
Total Mass ◽  
Maternity Hospital ◽  
World Health ◽  
Kitchen Waste ◽  
Healthcare Waste ◽  
Physical Conditions ◽  
The World ◽  
Healthcare Waste Management ◽  
Health Organization

 Healthcare waste management (HCWM) is at problem in many developing countries. One of the main steps to implement a proper HCWM process is knowledge of the amount and composition of material generated. There are rare studies of the contribution of kitchen waste to the total mass of non-hazardous waste generated by hospitals in the world. This paper reports a diagnosis of waste generation by the kitchen of a maternity hospital in the state of Rio de Janeiro, Brazil. Using the method established by the World Health Organization (WHO), non-hazardous wastes of all sectors were weighed for seven consecutive days in July and August, 2015. The average kitchen waste generated was 92.77 kg.day-1 and 76,73 kg.day-1, respectively, corresponding to 43.65% and 46.44% of the total mass of general waste produced in the period, although there was no positive correlation between the generated mass of kitchen waste and the number of meals prepared and served. We concluded that kitchen waste poses a considerable challenge to HCWM, mainly involving temporary internal storage, external storage and container cleaning, as well in the physical conditions of the workers that transport the waste.

Modeling the key barriers to lean construction using interpretive structural modeling

2017 ◽  
Vol 12 (4) ◽  
pp. 652-670 ◽  
Author(s):  
Sorokhaibam Khaba ◽  
Chandan Bhar
Keyword(s):  
Structural Equation ◽  
Resistance To Change ◽  
Structural Modeling ◽  
Lean Construction ◽  
Equation Modeling ◽  
Interpretive Structural Modeling ◽  
Lean Implementation ◽  
Content Type ◽  
Micmac Analysis ◽  
Relationship Of

Purpose The purpose of this study is to identify and analyze the key barriers to lean implementation in the construction industry using interpretive structural modeling (ISM) and Matrice d’ Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC) analysis. Design/methodology/approach In this study, 13 barriers to lean construction (LC) have been identified through extensive review of literature and subsequently eliciting expert opinions. A proper hierarchy and contextual relationship of the barriers have been developed using ISM, and based on the driving and dependence power of the barriers, three groups of barriers have been found using MICMAC analysis. Findings Cultural differences are found to be the most important barrier to LC, whereas employees’ resistance to change and lack of performance measurement systems are the least significant barriers. Research limitations/implications The work is limited to literature review and experts’ opinion, and the model may be tested using structural equation modeling to verify the relationship of the barriers. Practical implications This ISM-based model would help the decision-makers, researchers and practitioners to prioritize and manage these barriers by better utilizing their resources for eliminating or minimizing the barriers to lean implementation. Originality/value The study of barriers to LC through an ISM-based model and the classification of barriers is a new attempt in the field of construction.

Enablers of halal food purchase among Muslim consumers in an emerging economy: an interpretive structural modeling approach

2020 ◽  
Vol 122 (7) ◽  
pp. 2273-2287 ◽  
Author(s):  
Waseem Khan ◽  
Asif Akhtar ◽  
Saghir Ahmad Ansari ◽  
Aruna Dhamija
Keyword(s):  
Purchase Intention ◽  
Strong Dependence ◽  
Structural Modeling ◽  
Marketing Strategies ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Food Purchase ◽  
Micmac Analysis ◽  
Halal Food ◽  
Effective Product

PurposeThis study aims at identifying a set of determinants that affect halal food purchase intention and measures the relative ranks of these determinants in purchasing halal food among Muslim consumers in India.Design/methodology/approachInterpretive structural modeling (ISM) approach has been employed in the research, which is an expert opinion-based approach. The opinions of experienced academicians and marketing professionals have been recorded for reaching to the conclusions. Matrice d' impacts croises multiplication appliqué an classement (MICMAC) analysis has also been applied to examine the driving and dependent power of these determinants.FindingsDriver power–dependence matrix reveals that although knowledge of halal and attitude are weak drivers, yet they are strongly dependent upon other determinants. These two variables are at the top of the ISM digraph hierarchy. Food safety and halal labeling have strong driving power, as well as strong dependence. Three determinants, namely brand origin, religiosity and price, have strong driving powers and weak dependence. These variables lay at the bottom level of the ISM model.Practical implicationsThis study provides a better understanding of the determinants of halal food purchase intention. This will help the marketers for making appropriate and effective product design and other marketing strategies suited to the needs of the consumer.Originality/valueThis is the first study that examines the interrelationships between determinants and relative rank of these determinants in halal food purchase, using ISM approach and MICMAC analysis.

Sign in / Sign up

Export Citation Format

Share Document