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Framework for PESTEL dimensions of sustainable healthcare waste management: Learnings from COVID-19 outbreak

The COVID-19 pandemic has put the world economy at an unprecedented position and protecting society from the infection is at the core of all measures. As the COVID-19 virus stays longer on plastic and stainless steel materials, hence the healthcare wastes (HCW), coming out of the treatment of COVID-...

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Autor principal: Thakur, Vikas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744017/
https://www.ncbi.nlm.nih.gov/pubmed/33349739
http://dx.doi.org/10.1016/j.jclepro.2020.125562
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author Thakur, Vikas
author_facet Thakur, Vikas
author_sort Thakur, Vikas
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description The COVID-19 pandemic has put the world economy at an unprecedented position and protecting society from the infection is at the core of all measures. As the COVID-19 virus stays longer on plastic and stainless steel materials, hence the healthcare wastes (HCW), coming out of the treatment of COVID-19 infected patients can be one of the potential route for transmission of infection. Therefore, the present study analyses the dimensions of sustainable HCWM by using a multi-method approach: PESTEL (political, economic, social, technological, environmental and legal) analysis, TISM (total interpretive structural modeling) and fuzzy- MICMAC (cross-impact matrix multiplication applied to classification) analysis. The opted research framework yields 17 PESTEL dimensions of sustainable HCWM during the COVID-19 outbreak through the literature survey and experts’ discussions. Then, the TISM methodology developed a hierarchical digraph of all the 17 dimensions of sustainable HCWM based on the interrelationships. Fuzzy-MICMAC analysis classified all 17 PESTEL dimensions into four groups depending upon their driving and dependence powers. The study concluded that the policy framework for targeting political, legal and environmental issues should be the immediate concern of the worldwide governments and health officials. The effluent control and compliance to environmental laws being the output dimensions should be tracked regularly for ensuring the cleaner production in healthcare services. The PESTEL analysis will help the hospitals’ managers and policymakers to understand the macro-environment surrounding the HCWM.
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spelling pubmed-77440172020-12-17 Framework for PESTEL dimensions of sustainable healthcare waste management: Learnings from COVID-19 outbreak Thakur, Vikas J Clean Prod Article The COVID-19 pandemic has put the world economy at an unprecedented position and protecting society from the infection is at the core of all measures. As the COVID-19 virus stays longer on plastic and stainless steel materials, hence the healthcare wastes (HCW), coming out of the treatment of COVID-19 infected patients can be one of the potential route for transmission of infection. Therefore, the present study analyses the dimensions of sustainable HCWM by using a multi-method approach: PESTEL (political, economic, social, technological, environmental and legal) analysis, TISM (total interpretive structural modeling) and fuzzy- MICMAC (cross-impact matrix multiplication applied to classification) analysis. The opted research framework yields 17 PESTEL dimensions of sustainable HCWM during the COVID-19 outbreak through the literature survey and experts’ discussions. Then, the TISM methodology developed a hierarchical digraph of all the 17 dimensions of sustainable HCWM based on the interrelationships. Fuzzy-MICMAC analysis classified all 17 PESTEL dimensions into four groups depending upon their driving and dependence powers. The study concluded that the policy framework for targeting political, legal and environmental issues should be the immediate concern of the worldwide governments and health officials. The effluent control and compliance to environmental laws being the output dimensions should be tracked regularly for ensuring the cleaner production in healthcare services. The PESTEL analysis will help the hospitals’ managers and policymakers to understand the macro-environment surrounding the HCWM. Elsevier Ltd. 2021-03-10 2020-12-16 /pmc/articles/PMC7744017/ /pubmed/33349739 http://dx.doi.org/10.1016/j.jclepro.2020.125562 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Thakur, Vikas
Framework for PESTEL dimensions of sustainable healthcare waste management: Learnings from COVID-19 outbreak
title Framework for PESTEL dimensions of sustainable healthcare waste management: Learnings from COVID-19 outbreak
title_full Framework for PESTEL dimensions of sustainable healthcare waste management: Learnings from COVID-19 outbreak
title_fullStr Framework for PESTEL dimensions of sustainable healthcare waste management: Learnings from COVID-19 outbreak
title_full_unstemmed Framework for PESTEL dimensions of sustainable healthcare waste management: Learnings from COVID-19 outbreak
title_short Framework for PESTEL dimensions of sustainable healthcare waste management: Learnings from COVID-19 outbreak
title_sort framework for pestel dimensions of sustainable healthcare waste management: learnings from covid-19 outbreak
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744017/
https://www.ncbi.nlm.nih.gov/pubmed/33349739
http://dx.doi.org/10.1016/j.jclepro.2020.125562
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