Regulated Medical Waste Reduction in the Dermatology Clinic.

INTRODUCTION: The disposal of regulated medical waste (RMW) in the healthcare setting can be both costly and environmentally harmful. Prior studies have found large amounts of waste disposed of in RMW containers are inappropriately placed. Few studies to date have investigated the efficacy of waste reduction practices in the dermatology setting. METHODS: This study aims to evaluate the effectiveness of a practice-wide intervention in reducing RMW in the outpatient dermatology setting. By performing daily waste audits and two concurrent educational interventions, the amount of RMW produced and percent of appropriately placed RMW will be measured. Further analysis will occur by comparing pre-intervention values to post-intervention values. RESULTS: The percentage of waste properly placed in RMW containers prior to any intervention was 11%. Following both educational interventions, the percentage of waste properly placed in RMW containers increased by 56.1% (CI 43.7-68.5%) and the percentage of total waste produced that was identified and disposed of as RMW decreased by 6.0% (95% CI 1.2-10.8%). CONCLUSION: Our study provides practical data for dermatology providers to make small changes which can result in significant reductions of regulated medical waste, potentially providing benefits to the environment and cost-savings.

A review on digital transformation in healthcare waste management: Applications, research trends and implications.

At present, both emerging and developed economies have faced the challenge of higher healthcare waste generation. Developed countries are using these technologies to manage healthcare waste and cope with the challenge. Emerging economies are still struggling to understand and implement digital technologies in healthcare waste management, posing a danger to partners handling toxic and hazardous waste. The proper handling of healthcare waste is essential for social and environmental sustainability. Digital technologies that drive digital transformation in the healthcare sector impact the traditional way of managing healthcare waste. Digital technologies include artificial intelligence, blockchain, the Internet of Things, sensors, data analytics and radio frequency identification. These technologies can potentially address vehicle route planning and scheduling problems, resource optimisation, real-time tracking and the visibility of healthcare waste management. Apart from economic and environmental concerns, the operational workforce also takes care of societal well-being and implements waste management strategies and policies. Past research has focused on integrating blockchain technology to enhance traceability and transparency in waste collection and disposal activities. However, the application and impact of these technologies for managing different operations of healthcare management with sustainability is a gap bridged by the present study. This study adopts a systematic literature review to identify research trends, applications and implications of digital transformation. It proposes a digital technology-driven framework for healthcare waste management for further research.

Assessment of knowledge, attitude, and practice regarding medical waste management among operation room personnel in a tertiary hospital.

Introduction: Medical waste management (MWM) is of concern to the medical and surgical communities in the hospital. Adequate knowledge, attitude, and practice regarding the management of healthcare waste are important for the proper handling and disposal by physicians and healthcare workers. Objective: The aim of this study was an assessment of knowledge, attitude, and practices regarding medical waste management among operation room personnel in a tertiary hospital. Methods: This study was a descriptive cross-sectional survey conducted at a single-center government Comprehensive Specialized Hospital operation room from 1-30 September 2022. All specialty operation room healthcare personnel consenting to cooperate and participate were included in the study. The data were collected using a self-administered questionnaire. The collected data were analyzed using SPSS. The results were presented in texts, tables and graphs. Results: From 130 operation room personnel, the results revealed that the majority of the total respondents were male (83.1%). Only 30 (23.1%) of the respondents were involved in training, whereas 100 (76.9%) of the study participants have not participated in training. It was found that 86 (66.2%) of the respondents had good knowledge, 113 (86.9%) of the respondents had a good attitude, and 27 (20.8%) of the respondents had good practice. Conclusion and recommendation: The authors' study reveals that the majority of study participants have a moderate level of knowledge, a good level of attitude, and poor levels of practice, according to Bloom's cut-off point. The institution should more fully implement the training for operation room personnel to improve their level of knowledge and practice of medical waste management.

Review on medical waste management in China and Nigeria.

Medical waste management is an essential component of healthcare delivery globally due to the toxic and contagious potentials on human health and the environment. There are resource limitations in developing nations when it comes to the appropriate handling of medical wastes. In this article, we examined previous studies to evaluate the practices of medical waste management in China and Nigeria. Contextually, this work addresses medical waste practices in the context of waste generation, segregation, collection, storage, transportation, treatment and disposal. In addition to reviewing additional important aspects of medical waste management, the current study addresses potentials and challenges for efficient medical waste management in both countries. For this study; Scopus, Web of Science, Google Scholar, PubMed, Agencies, Conferences, National and International Conventions were searched from 1998 up to 2023 for all studies reporting medical waste management in China and Nigeria. To further guarantee that only resource materials with similar research interests in medical waste management were selected, a double screening process was employed. The challenges of medical waste management in both countries are limited financing, inadequate training, ineffective legislation, ineffective medical waste transport system and insufficient treatment technology. Furthermore, this study offers practical recommendations by identifying the particular areas that require attention and development, such as training of healthcare workers, adequate financing of medical waste management projects, including research and development on efficient toxic emission reducing technologies, and partnership with other relevant authorities and stakeholders to ensure enforcement of national and local legislation.

Forecasting medical waste in Istanbul using a novel nonlinear grey Bernoulli model optimized by firefly algorithm.

Waste management has gained global importance, aligning with the escalating impact of the COVID-19 pandemic and the associated concerns regarding medical waste, which poses threats to public health and environmental sustainability. In Istanbul, medical waste is considered a significant concern due to the rising volume of this waste, along with challenges in collection, incineration and storage. At this juncture, precise estimation of the waste volume is crucial for resource planning and allocation. This study, thus, aims to estimate the volume of medical waste in Istanbul using the nonlinear grey Bernoulli model (NGBM(1,1)) and the firefly algorithm (FA). In other words, this study introduces a novel hybrid model, termed as FA-NGBM(1,1), for predicting waste amount in Istanbul. Within this model, prediction accuracy is enhanced through a rolling mechanism and parameter optimization. The effectiveness of this model is compared with the classical GM(1,1) model, the GM(1,1) model optimized with the FA (FA-GM(1,1)), the fractional grey model optimized with the FA (FA-FGM(1,1)) and linear regression. Numerical results indicate that the proposed FA-NGBM(1,1) hybrid model yields lower prediction error with a mean absolute percentage error value 3.47% and 2.57%, respectively, for both testing and validation data compared to other prediction algorithms. The uniqueness of this study is rooted in the process of initially optimizing the parameters for the NGBM(1,1) algorithm using the FA for medical waste estimation in Istanbul. This study also forecasts the amount of medical waste in Istanbul for the next 3 years, indicating a dramatic increase. This suggests that new policies should be promptly considered by decision-makers and practitioners.

The scenario of household pharmaceutical products: consumption, wastes, and disposal practices from a case study in Chile.

Concerns about the increasing consumption of medicines have been raised due to their contribution to waste pollution and environmental impacts. However, limited research addresses the profile and disposal practices of household medicines, particularly in Latin America. Therefore, this study analyzes the consumption, waste, and disposal of medicines within households in the commune of La Serena, Chile. Primary data were gathered through a semi-structured survey administered directly to a random sample of 430 households. The results indicate that women play a central role in managing medicines within households, with four therapeutic groups being most frequently used in medicines and generating waste: anti-inflammatory/analgesics, antihypertensives, lowering cholesterol, and antidiabetics. Ninety-six% of respondents were unaware of the collection points for this waste, and they disposed of it mainly in household garbage (78%) and sewage (13%). However, over 70% of them considered storing or disposing of medicines in household garbage or sewage to be "dangerous or very dangerous." Furthermore, 97% expressed support for collection campaigns. These results indicate the need for public policies to establish collection points for this waste and to inform consumers about the responsible use and proper disposal of medicines, particularly for women and patients with chronic illnesses.

Improved medical waste plasma gasification modelling based on implicit knowledge-guided interpretable machine learning.

Ensuring the interpretability of machine learning models in chemical engineering remains challenging due to inherent limitations and data quality issues, hindering their reliable application. In this study, a qualitatively implicit knowledge-guided machine learning framework is proposed to improve plasma gasification modelling. Starting with a pre-trained machine learning model, parameters are further optimized by integrating the heuristic algorithm to minimize the data fitting errors and resolving implicit monotonic inconsistencies. The latter is comprehensively quantified through Monte Carlo simulations. This framework is adaptive to different machine learning techniques, exemplified by artificial neural network (ANN) and support vector machine (SVM) in this study. Validated by a case study on plasma gasification, the results reveal that the improved models achieve better generalizability and scientific interpretability in predicting syngas quality. Specifically, for ANN, the root mean square error (RMSE) and knowledge-based error (KE) reduce by 36.44% and 83.22%, respectively, while SVM displays a decrease of 2.58% in RMSE and a remarkable 100% in KE. Importantly, the improved models successfully capture all desired implicit monotonicity relationships between syngas quality and feedstock characteristics/operating parameters, addressing a limitation that traditional machine learning struggles with.

Risk Management for Whole-Process Safe Disposal of Medical Waste: Progress and Challenges.

Over the past decade, the global outbreaks of SARS, influenza A (H1N1), COVID-19, and other major infectious diseases have exposed the insufficient capacity for emergency disposal of medical waste in numerous countries and regions. Particularly during epidemics of major infectious diseases, medical waste exhibits new characteristics such as accelerated growth rate, heightened risk level, and more stringent disposal requirements. Consequently, there is an urgent need for advanced theoretical approaches that can perceive, predict, evaluate, and control risks associated with safe disposal throughout the entire process in a timely, accurate, efficient, and comprehensive manner. This article provides a systematic review of relevant research on collection, storage, transportation, and disposal of medical waste throughout its entirety to illustrate the current state of safe disposal practices. Building upon this foundation and leveraging emerging information technologies like Internet of Things (IoT), cloud computing, big data analytics, and artificial intelligence (AI), we deeply contemplate future research directions with an aim to minimize risks across all stages of medical waste disposal while offering valuable references and decision support to further advance safe disposal practices.

Experimental and modeling study of medical waste based on plasma gasification.

Plasma gasification melting (PGM) provides reliable disposal of toxic medical waste with a low heating value, which is capable of converting waste into energy. This study investigates the performance of experiments on plasma gasification for the treatment of chemical-pharmaceutical medical waste (CPMW) with an air medium. A comparative analysis is performed for gasification characteristics at three reactor temperatures (1000, 1400, and 1800 °C). Moreover, a thermodynamic equilibrium model is developed to assess performance features such as syngas yield, high heating value, and cold gas efficiency in the gasification temperature range of 1000-1800 °C. A comparison of the experiment and computational outcomes shows a good agreement. The results show that the quality of syngas and heating value is improved by increasing the temperature of the plasma gasifier so that at 1800 °C, H2, CO, and higher heating value (HHV) are obtained as 41 %, 37 %, and 10 MJ/Nm3, respectively. The obtained syngas is a clean fuel with low sulfur-containing and nitrogen-containing. The experimental results provide an extensive comprehension of CPMW gasification in a plasma reactor and consider a possibility for hydrogen and energy production.

The collateral effects of COVID-19 on marine pollution.

The COVID-19 pandemic has gained significant attention to the intersection of public health crises and environmental challenges, particularly in the context of marine pollution. This paper examines the various impacts of the pandemic on marine environments, focusing on the pollution attributed to single-use plastics (SUPs) and personal protective equipment (PPE). Drawing on a comprehensive analysis of literature and case studies, the paper highlights the detrimental effects of increased plastic waste on marine ecosystems, biodiversity, and human health. Statistical data and graphical representations reveal the scale of plastic pollution during the pandemic, emphasizing the urgent need for mitigation strategies. The study evaluates innovative monitoring techniques and future recommendations, emphasizing stakeholder collaboration in sustainable waste management. By broadening geographic examples and comparative analyses, it provides a global perspective on the pandemic's impact, highlighting the importance of international cooperation for safeguarding marine ecosystems.

Resource utilization of medical waste incineration fly ash to activate peroxydisulfate for tetracycline degradation: Synergy between adsorption and PDS activation.

Medical waste incineration fly ash (MWI FA) is classified as a hazardous solid waste. Therefore, the development of recycling technologies to convert MWI FA into useful products is necessary and challenging. In this study, we developed a sustainable approach for preparing a catalyst through the pyrolysis of water-washed MWI FA (WW FA-x, where x corresponds to the pyrolysis temperature). Subsequently, it was applied as a potent peroxydisulfate (PDS) activator to remove tetracycline (TC) from water. The results showed that the WW FA-800 exhibited remarkable adsorption performance as well as highly efficient catalytic activation of PDS, with a 115 mg/g maximum TC adsorption capacity and 93.5% (reaction kinetic rate = 315 µmol/g/h) TC removal within 60 min. A synergistic effect was achieved by adsorption and PDS activation. TC degradation was primarily driven by non-radical (1O2 and electron transfer) processes. WW FA-800 possesses multiple active sites, including defects, π-π*, O-CO groups, Fe0, and Cu(I). Three possible pathways for TC decomposition have been proposed, with the majority of intermediates exhibiting less toxicity than TC. Furthermore, the WW FA/PDS system exhibited an excellent anti-interference ability, and universality in the degradation of various organic contaminants. Notably, energy consumption was minimal, approximately 2.80 kWh/(g·TC), and the leachability of heavy metals in the WW FA-800 was within acceptable limits. This study provides a MWI FA recycling route for the development of highly active catalysts.

Green radiology: How to develop sustainable radiology.

The phenomenon of global warming due to the increased emission of greenhouse gases makes it necessary to raise public awareness about the importance of promoting sustainable practices. The field of radiology is not an exception, as it consumes a large amount of energy and resources to operate equipment and generate images. Green radiology is a sustainable, innovative, and responsible approach in radiology practice that focuses on minimizing the negative environmental effects of the technologies and procedures used in radiology. Its primary goal is to reduce the carbon, water and ecological footprint in our services based on four strategic pillars: decreasing energy, water, and helium usage; properly recycling and/or disposing of waste and residues (including contrast media); minimizing the environmental impact of ionizing radiation; and promoting eco-friendly radiology practices.

A study of indoor air pollution caused by disinfection equipment as a consequence of infectious waste management.

Infectious waste disinfection is an essential process in medical waste management that may cause release of some pollutants. In this study, the PAHs concentration at the disinfection was investigated. The change in the release rate of PAHs in two including infectious waste reduction and increasing the segregation ratio was estimated. The results showed that the PAHs concentration was 1172 - 2066 ng/m3. The specific concentration of PAHs was 852 ng/ton of infectious waste in average. The annual emission of the PAHs resulting from infectious waste disinfection is estimated to be 612.6 kg. Reduction of infectious waste caused by redefining infectious waste and increasing the segregation ratio leads to reduction of PAHs concentration by 50%. Increasing the ratio of segregation and redefinition of infectious waste that led to reduced waste loading volume are essential measures that reduce the emissions of pollutants as by-products of disinfection.

A study of the stabilization and solidification of heavy metals in co-vitrification of medical waste incineration ash and coal fly ash.

Medical waste incineration ash (MWIA) has significant concentrations of heavy metals, dioxins, and chlorine that, if handled incorrectly, might cause permanent damage to the environment and humans. The low content of calcium (Ca), silicon (Si), and aluminum (Al) is a brand-new challenge for the melting technique of MWIA. This work added coal fly ash (CFA) to explore the effect of melting on the detoxication treatment of MWIA. It was found that the produced vitrification product has a high vitreous content (98.61%) and a low potential ecological risk, with an initial ash solidification rate of 67.38%. By quantitatively assessing the morphological distribution features of heavy metals in ashes before melting and molten products, the stabilization and solidification rules of heavy metals during the melting process were investigated. This work ascertained the feasibility of co-vitrification of MWIA and CFA. In addition, the high-temperature melting and vitrification accelerated the detoxification of MWIA and the solidification of heavy metals.

Upcycling of SARS-CoV-2 Rapid Antigen Test Cassettes into Flame Retardant Plastics.

The COVID-19 pandemic resulted in the generation of large quantities of medical waste and highlighted the importance of efficient waste management systems. One good example of this is rapid antigen tests, which contain valuable resources, and which are usually incinerated after their use. The present study aimed to evaluate the potential of waste rapid antigen test cassettes (RATCs) as a resource for the preparation of sustainable flame-retardant plastics. Milled RATCs were compounded with different concentrations (10-30 wt.%) of aluminium diethylphosphinate (ADP) and injection moulded into test specimens. Prepared samples were exposed to ultraviolet (UV) ageing for varying durations and characterised by Fourier-transform infrared spectroscopy (FT-IR), differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), dynamic mechanical analysis (DMA), tensile tests, Charpy impact tests, and vertical burning tests. FT-IR analysis revealed that RATCs are composed mainly of high-impact polystyrene (HIPS), which was further confirmed by suitable glass transition temperatures (Tg) determined by DSC and DMA. The addition of ADP resulted in progressive embrittlement of HIPS with increasing concentration, while flammability decreased significantly and reached V-1 classification at loading of 30 wt.%. UV ageing caused photo-oxidative degradation of HIPS, which resulted in decreased strain-at-break, while flammability was not affected.

Predicting medical waste generation and associated factors using machine learning in the Kingdom of Bahrain.

Effective planning and managing medical waste necessitate a crucial focus on both the public and private healthcare sectors. This study uses machine learning techniques to estimate medical waste generation and identify associated factors in a representative private and a governmental hospital in Bahrain. Monthly data spanning from 2018 to 2022 for the private hospital and from 2019 to February 2023 for the governmental hospital was utilized. The ensemble voting regressor was determined as the best model for both datasets. The model of the governmental hospital is robust and successful in explaining 90.4% of the total variance.Similarly, for the private hospital, the model variables are able to explain 91.7% of the total variance. For the governmental hospital, the significant features in predicting medical waste generation were found to be the number of inpatients, population, surgeries, and outpatients, in descending order of importance. In the case of the private hospital, the order of feature importance was the number of inpatients, deliveries, personal income, surgeries, and outpatients. These findings provide insights into the factors influencing medical waste generation in the studied hospitals and highlight the effectiveness of the ensemble voting regressor model in predicting medical waste quantities.

Co-incineration of medical waste in municipal solid waste incineration increased emission of chlorine/brominated organic pollutants.

Co-incineration of medical waste (MW) in municipal solid waste incinerators (MSWIs) is a crucial disposal method for emergency disposal of MW and the management of MW in small and medium-sized towns. This study aims to analyze and compare the levels and distribution patterns of chlorine/brominated dioxins and their precursors in fly ash from MSWIs and medical waste incinerators (MWIs) while also focusing on identifying the new pollution concerns that may arise from the co-incineration of municipal solid waste (MSW) mixed with MW (MSW/MW). The concentration of chlorobenzene (CBzs), polychlorinated biphenyls (PCBs) and polychlorinated dibenzo-p-dioxins/dibenzofurans (PCDD/Fs) in fly ash from co-incineration of MSW/MW are 887.4, 134.4 and 27.6 µg/kg, respectively, which are 5.1, 2.0 and 2.9 times higher than that from MSWIs. The levels of polybrominated dibenzo-p-dioxins/dibenzofurans (PBDD/Fs) are about three orders of magnitude lower than that of PCDD/Fs. For the fly ash from MSWIs, the predominant PCDD/Fs congener is OCDD, which prefers synthesis and adsorption on fine-grained fly ash. For fly ash from MWIs, the major PCDD/Fs congeners are 1, 2, 3, 4, 6,7, 8-HpCDF, and OCDF, which prefer synthesis and adsorption on coarse-grained fly ash. Correlation analysis exhibited that both 1,2,3-TriCBz and 1,2,4-TriCBz in fly ash have a markedly linear correlation with PCDD/Fs and PCBs, but PBDD/Fs shows a poor negative correlation with PCDD/Fs.

What we learned from the infection control and what we need in the future: A quantitative and qualitative study on hospital infection prevention and control practitioners (HIPCPs) in Tianjin, China.

BACKGROUND: In December 2022, the epidemic prevention and control policy was upgraded, and China entered a different stage of epidemic control. This study aims to identify implications for better infection control and health care supply during the epidemic. METHODS: A longitudinal quantitative and qualitative study was performed based on 2 comprehensive questionnaire surveys among 497 hospital infection prevention and control practitioners (HIPCPs) before and during the epidemic peak in Tianjin, China. RESULTS: The workload (8.2 hours vs 10.14 hours, P = 0) and self-reported mental health problems (23.5% vs 61.8%, P < .05) among the HIPCPs increased significantly in the peak period. Ward reconstruction and resource coordination were the most needed jobs in hospital infection control, and rapidly increased medical waste during the epidemic needs to be considered in advance. Community support for health care personnel and their families, maintaining full PPE to reduce simultaneous infection of medical staff, and clinical training of infectious diseases for medical staff, especially doctors, in advance are the most important things we learned. CONCLUSION: Although it has been 4 years since the first outbreak of coronavirus disease 2019, more improvements should be made to prepare for the next epidemic of potential diseases.

Educação em saúde: gerenciamento de resíduos hospitalares e uso de equipamentos de proteção individual / Health education: hospital waste management and use of personal protective equipment / Educación sanitaria: gestión de residuos hospitalarios y uso de equipos de protección personal

Objetivo: Desenvolver intervenção educativa sobre gerenciamento dos resíduos de serviços de saúde e uso de equipamentos de proteção individual com profissionais de enfermagem. Métodos: Pesquisa-ação, realizada com profissionais de enfermagem de um hospital da rede pública no nordeste brasileiro, entre janeiro a julho de 2018. Os dados foram organizados com apoio do software webQDA© e análise de conteúdo de Bardin. Resultados: Emergiram duas categorias: Gerenciamento dos Resíduos de Serviços de Saúde e Utilização de Equipamentos de Proteção Individuais. Parte dos profissionais possuíam conhecimento adequado sobre o gerenciamento dos resíduos de serviços de saúde. Os resultados apontam que parcela dos participantes reconhecem a periculosidade que os grupos de resíduos de serviços de saúde possuem, adotando cuidados, porém, reconhecem a ocorrência de condutas não seguras, como uso incorreto de equipamentos de proteção individual. Além disso, os técnicos de enfermagem demostraram conhecimento incipiente sobre os resíduos de serviços de saúde e expressaram mais exposição a riscos ocupacionais. Conclusão: A intervenção educativa realizada evidenciou a necessidade de efetivar a construção de conhecimentos coletivos no âmbito da educação permanente relacionado aos resíduos e riscos ocupacionais entre profissionais de enfermagem. Recomendam-se outros estudos para avaliar a efetividade e impacto da intervenção educativa no ambiente hospitalar. (AU)

Objective: Develop educational intervention on health care waste management and the use of personal protective equipment with nursing professionals. Methods: Action research, carried out with nursing professionals from a public hospital in northeastern Brazil, between January and July 2017. The data were organized with the support of webQDA © software and content analysis by Bardin. Results: Two categories emerged: Waste Management from Health Services and Use of Personal Protective Equipment. Part of the professionals had adequate knowledge about the management of waste from health services. The results show that a portion of the participants recognize the dangerousness that the health service waste groups have, adopting care in relation to these, however, they recognize the occurrence of unsafe conduct, such as incorrect use of personal protective equipment. In addition, nursing technicians demonstrated incipient knowledge about health service waste and expressed more exposure to occupational risks. Conclusion: The educational intervention carried out showed the need to carry out the construction of collective knowledge within the scope of permanent education related to GRSS and occupational risks among nursing professionals. Further studies are recommended to assess the effectiveness and impact of educational intervention in the hospital environment. (AU)

Objetivo: Desarrollar una intervención educativa sobre la gestión de residuos sanitarios y el uso de equipos de protección personal con profesionales de enfermería. Métodos: Investigación acción, realizada con la profesión de un hospital público en el noreste de Brasil, entre enero y julio de 2017. Los datos se organizan con el apoyo del software webQDA © y el análisis de contenido Bardin. Resultados: Surgieron dos categorías: Gestión de dos Residuos de Servicios de Salud y Uso de Equipos de Protección Personal. Los profesionales de la segunda parte tienen el conocimiento o manejo adecuado de dos residuos de los servicios de salud. Los resultados indican que dos participantes reconsideran la peligrosidad que representaban los grupos de residuos del servicio de salud, adhiriéndose cuidados, por lo que reconsideran la ocurrencia de conductas inseguras, como el uso incorrecto de equipos de protección personal. Además, los técnicos de enfermería demostrarán un conocimiento incipiente sobre el desperdicio de servicios de salud y expresarán una mayor exposición a los riesgos laborales. Conclusión: La intervención educativa realizada mostró la necesidad de realizar la construcción de conocimientos colectivos fuera del ámbito de la educación permanente relacionada con los GRSS y los riesgos laborales entre los profesionales de la enfermedad. Recomendamos otros estudios para evaluar la efectividad y el impacto de la intervención educativa en el ámbito hospitalario. (AU)