Abstract
We conducted a series of 24-hour waste audits in a 20-bed pod of a Neurosciences Intensive Care Unit (Neuro ICU) during the COVID-19 pandemic to 1) determine the unit’s waste generation practices, 2) calculate associated downstream greenhouse gas emissions, and 3) identify opportunities to reduce landfill waste and emissions. We collected and weighed municipal solid waste, regulated medical waste, and mechanical recycling. We then compared the current, “as-is” practices to an ideal, “should-be” model which adds the alternative waste and reprocessing streams of industrial composting, advanced recycling, and sterilization followed by reuse. We found that the unit produced a total of 97.3 kg of waste over 24 hours, or 4.9 kg of waste per patient per day. 96.8% of this waste is currently landfilled. Emissions generated by processing landfill waste totaled 119.7 metric tons per year of CO2 equivalents. With the should-be sorting model, 24.7% of total waste produced by the unit could be diverted from landfills. Of this potentially divertible waste, 47.9% could undergo post-consumer industrial composting, 28.0% could undergo mechanical recycling, 22.2% could undergo advanced recycling, and 1.9% could undergo sterilization followed by reuse. Emissions from processing landfill waste in the should-be model totaled 110.6 metric tons per year of CO2 equivalents, representing a 7.7% decrease. These findings highlight the potential utility of alternate waste streams in this setting as well as the urgent need for complementary upstream waste reduction strategies to meaningfully reduce the Neuro ICU’s landfill reliance and greenhouse gas emissions.
1.0. Introduction
Climate change has been linked to increased risk of many human diseases, including infectious, respiratory, allergic, psychiatric, and cardiovascular diseases.1 Healthcare systems perpetuate these health risks through their contribution to climate change, despite the first, do no harm principle inherent in their missions. In the United States, healthcare generates 5.9 million tons of waste per year,2 or 10.7 kg per bed per day, which is substantially higher than other developed countries.3 Each year, U.S. healthcare generates 655 million metric tons of carbon dioxide (CO2) equivalents, accounting for 8% of national greenhouse gas (GHG) emissions.1 While only 3% of U.S. healthcare-associated GHG emissions result from waste disposal, this proportion represents millions of tons of CO2 from healthcare waste each year.1
Healthcare-associated waste has ballooned in the COVID-19 pandemic due to increased patient loads, emphasis on infection prevention, and use of disposable items.4–6 Since the start of the pandemic, 87,000 metric tons of personal protective equipment (PPE) have been procured and shipped worldwide by the United Nations alone, with the expectation that much of that PPE will be discarded.7 The pandemic also has sharpened focus on supply chain vulnerabilities and healthcare’s reliance on single-use products.8 In addition to these visible impacts on waste production and disposal practices, COVID-19 has resulted in restricted hospital visitation policies and an increase in temporary staff who may be less familiar with waste disposal policies, both of which may influence waste generation.
There are substantial gaps in our understanding of how the COVID-19 pandemic has affected healthcare’s waste processing streams. Waste audits of healthcare facilities are an effective means of quantifying the waste produced in the healthcare setting, identifying downstream waste processing streams, and optimizing facility waste management practices. Previous waste audits have surveyed entire hospitals, emergency departments, pharmacies, intensive care units (ICUs), and operating rooms and have identified important opportunities to reduce and divert waste in each setting.9–14 However, no comprehensive waste audits have yet been undertaken during the COVID-19 pandemic nor in a Neurosciences (Neuro) ICU, despite the unique circumstances of these settings. We sought to fill these gaps in understanding by assessing waste generated in the Neuro ICU with attention to the impact of the COVID-19 pandemic on facility waste.
The objectives of this study were 1) to determine the waste generation practices of a Neuro ICU in a quaternary care hospital during the COVID-19 pandemic, 2) to calculate the associated downstream greenhouse gas emissions, and 3) to identify opportunities to reduce landfill waste and emissions. We quantified and described waste generation in this Neuro ICU over a series of 24-hour periods during the COVID-19 pandemic. We then applied a resorting analysis in which current waste disposal practices were compared to an ideal model of disposal-- an “as-is” vs. “should-be” framework-- a novel aspect of our study’s design. Finally, we calculated the downstream GHG emissions from processing the unit’s landfill waste and identified opportunities to divert landfill waste and reduce associated GHG emissions.
2.0. Materials & Methods
2.1. Study Setting
This study was conducted at Emory University Hospital (EUH) in Atlanta, Georgia in a 20-bed pod of the 42-bed Neuro ICU. The Neuro ICU is staffed by specialists trained in neurology and critical care medicine and treats patients referred from across the southeastern United States for conditions such as traumatic brain injury, stroke, subarachnoid hemorrhage, neuromuscular disease, cerebral aneurysm, and neurologic sequelae of COVID-19. The study was conducted with the consent of EUH leadership and safety departments. Institutional Review Board (IRB) exemption was provided by the Emory University IRB board.
2.2. Study Design
Our audit captured all waste streams from the Neuro ICU over a series of nonconsecutive 24-hour collection periods from August to October 2021 (Supplemental Table 1). “Waste” was defined as anything disposable leaving the unit, including all items in municipal solid waste (MSW), mechanical recycling, regulated medical waste (RMW), sharps disposal containers, protected health information (PHI) receptacles, and patient meal trays. The study was partially blinded, as only the nurse manager on the unit was aware of study; all other staff generating waste were unaware of the study. Collection was completed by the usual environmental services staff. All waste was collected and weighed as-is, or exactly how it had been discarded by staff and patients.
Waste from the as-is categories was weighed and then sorted into six should-be categories which optimize landfill diversion. The six should-be categories included the three as-is categories (MSW, RMW, and mechanical recycling) and three additional categories: post-consumer industrial composting, advanced recycling, and sterilization followed by reuse. Inclusion criteria for each category was defined by our facility’s vendors (Table 1).
Table 1.
Should-be waste category definitions.
| Waste Category | Description | Example Items | Disposal Method |
|---|---|---|---|
| MSW | Any item which could not be sorted into mechanical recycling, RMW, industrial composting, advanced recycling, or sterilization streams | Plastic bags, IV tubing, soiled patient care items, wrappers | Landfilled |
| RMW | Items soaking in hazardous bodily fluids; items capable of producing a puncture wound | Blood, sputum & bodily secretions; needles, glass | Autoclaved then landfilled |
| Mechanical Recycling | Unsoiled paper products, aluminum cans, plastic #1 | Cardboard, plastic water bottles, Protected Health Information (PHI) | Mechanically recycled |
| Industrial Composting | Post-consumer organic material | Food, soiled paper products, paper food packaging | Composted |
| Advanced Recycling | Clean patient-care plastics #2, #4, #5, #6 and proprietary plastic packaging | Urinals, disposable isolation gowns, condom catheter packaging | Chemically recycled |
| Sterilization | Unopened and unused single-use items from patient isolation rooms | Unopened saline flushes, alcohol wipes, gauze | Decontaminated with H2O2 and reused |
Notes: MSW is municipal solid waste, RMW is regulated medical waste. The descriptions refer to the inclusion criteria set by our hospital system’s vendors.
Industrial composting refers to the large-scale processing of organic matter, including food and soiled paper, into nutrient-rich soil.15 Pre-consumer industrial composting refers to food scraps from the hospital kitchen before reaching consumers while post-consumer industrial composting refers to all organic material that is returned to the kitchen after consumer-contact. This audit examined post-consumer industrial composting.
Advanced recycling refers to the chemical treatment of a variety of clean plastic patient-care items, including those that are too complex to undergo mechanical recycling or are not profitable to mechanical recyclers. These include, but are not limited to, high density polyethylene (HDPE), low density polyethylene (LDPE), polypropylene (PP), and polystyrene (PS) (plastics #2, #4, #5, #6, respectively). Multiple chemical technologies including purification, decomposition/depolymerization, and thermal conversion are utilized. While advanced recycling processes require higher volumes of input material to be cost effective than traditional mechanical recycling, they extend the operational life of plastics and avoid degradation of plastic quality that occurs with repeated mechanical recycling.16
Sterilization of unopened and unused single-use patient care items followed by reuse is a reprocessing stream. Unopened items from the rooms of patients under isolation precautions are often discarded upon patient discharge due to infection prevention concerns. These items can be decontaminated with vaporized hydrogen peroxide (H2O2) and subsequently returned to the unit’s stock. This practice became more common at our facility during the early COVID-19 pandemic to sterilize and reuse personal protective equipment (PPE), such as N-95 respirators, which was in scarce supply. This decontamination can be completed on-site.
2.3. Waste Collection & Sorting
Three authors were present for and led all waste sorting and weighing, which was completed with the assistance three volunteers. Any disagreements regarding appropriate waste category were resolved by consensus. All study personnel wore isolation PPE throughout the waste audit. Volunteers and study personnel completed OSHA-compliant bloodborne pathogens training prior to the audit and were vaccinated against hepatitis B and COVID-19.
To protect patient privacy, PHI was weighed as-is without opening or sorting its contents. Sharps containers and RMW containers were unopened to minimize exposure to hazardous and infectious materials. While other waste audits have opened and sorted these streams, our facility did not permit this during the COVID-19 pandemic. Soiled items, such as wet paper, were sorted under the assumption that soiling had occurred after disposal due to co-mingling in the waste receptacle. Un-numbered plastic items were conservatively sorted into MSW as we could not discern their acceptability for mechanical or advanced recycling. Upon completion of the waste sorting, all waste was disposed of in compliance with hospital policy. All waste was weighed using Welch Allyn Tronix Configuration 5002-XX-B scale equipment with a resolution of 0.1 lb.
2.4. Data Analysis
Aggregate patient volume data during the 24-hour periods of study and for fiscal year 2021 were collected for normalization. Weights of the as-is and should-be waste were summed, and landfill waste (MSW + RMW) in each scenario was calculated. The GHG emissions generated by processing landfill waste as-is and should-be were calculated using the Mazzetti M+ WasteCare Calculator (San Francisco, CA). The calculations included emissions produced by landfilling for MSW and autoclaving and landfilling for RMW. The waste quantities and landfill associated GHG emissions of the two models were then compared. Data was aggregated using Google Sheets (Mountain View, CA) and analyzed with univariate descriptive statistics using Microsoft Excel (Redmond, WA).
Because we were unable to sort RMW, we could not determine how much RMW should have been categorized as MSW. This uncertainty is relevant when calculating emissions, as processing RMW is more energy intensive than processing MSW because it includes autoclaving. We therefore performed a sensitivity analysis to model how reallocating varying proportions of RMW to MSW reduces GHG emissions.
3.0. Results
Over the 24-hour study periods, the Neuro ICU generated 97.3 kg of waste per day, or 4.9 kg of waste per patient-day (Table 2). MSW represented the largest as-is category, comprising 82.6% of the total weight. RMW was the next largest category, accounting for 14.2% of waste. The smallest category was mechanical recycling, representing 3.2% of all collected waste, 64.5% of which was PHI. In the as-is scenario, 94.2 kg of waste from MSW and RMW was destined for landfills; this represents 96.8% of the total waste generated by the Neuro ICU (Figure 1). Only 3.2% of waste was diverted from landfill, via mechanical recycling.
Table 2.
Waste categorization by weight (kg) and percent total (%) collected as-is vs. as should-be.
| Categories | As-Is Sorting | Should-Be Sorting | |||||
|---|---|---|---|---|---|---|---|
| Weight (kg) | Weight per Patient (kg) | Percent Total | Weight (kg) | Weight per Patient (kg) | Percent Total | Absolute Change in Percent | |
| Municipal Solid Waste | 80.4 | 4.0 | 82.6% | 58.2 | 2.9 | 60.3% | − 22.3% |
| MSW containers | 75.8 | 3.8 | 78.0% | 58.2 | 2.9 | 60.3% | − 17.5% |
| Tray Waste | 4.6 | 0.2 | 5% | 0.0 | 0.0 | 0.0% | − 4.8% |
| Regulated Medical Waste | 13.8 | 0.7 | 14.2% | 14.5 | 0.7 | 15.0% | 0.8% |
| RMW containers | 11.7 | 0.6 | 12% | 11.7 | 0.6 | 12.0% | 0.1% |
| Sharps containers | 2.8 | 0.1 | 3% | 2.8 | 0.1 | 3.0% | 0.0% |
| Mechanical Recycling | 3.1 | 0.2 | 3.2% | 6.7 | 0.3 | 6.9% | 3.7% |
| PHI receptacles | 2.0 | 0.1 | 2% | 2.0 | 0.1 | 2.0% | 0.0% |
| Recycling containers | 1.1 | 0.1 | 1% | 4.7 | 0.2 | 4.9% | 3.7% |
| Industrial Composting | - | - | - | 11.4 | 0.6 | 11.8% | - |
| Advanced Recycling | - | - | - | 5.3 | 0.3 | 5.5% | - |
| Sterilization | - | - | - | 0.5 | 0.0 | 0.5% | - |
| Total | 97.3 * | 4.9 | 100.0% | 96.5 * | 4.8 | 100.0% | - |
| Total landfilled waste | 94.2 | 96.8% | 72.7 | 75.3% | − 21.5% | ||
| Total diverted waste | 3.1 | 3.2% | 23.5 | 24.7% | 21.5% | ||
Notes: There were 20 patients on the unit over each of the 24-hour periods of collection allowing for per-patient calculations.
The 0.81 kg discrepancy between total weight in the as-is scenario and should-be scenario is due to liquid waste which was disposed of prior to sorting into should-be categories. There was a total of 7,240 patient-days on the Neuro ICU unit during fiscal year 2021, translating to about 35,260 kg of waste generated annually. Any discrepancies in sums are due to rounding.
Figure 1.

Comparison of landfilled vs. diverted waste with as-is vs. should-be sorting.
3.1. Comparison of Waste Stream Utilization in As-is vs. Should-be Models
When sorted into should-be waste categories, MSW remained the largest category but was reduced to 60.3% of total waste. After sorting, RMW remained the second-largest category at 15.0% of total waste. Industrial composting comprised 11.8% of total waste, mechanical recycling 6.9%, advanced recycling 5.5%, and sterilization 0.5%.
The should-be sorting regimen resulted in 72.7 kg of landfill waste, representing 75.3% of total waste (Figure 1). Thus, 24.7% of total waste was divertible from landfills, a 23% reduction in the amount of waste destined for landfills. Of the potentially divertible waste, 47.9% was industrial composting, 28.0% mechanical recycling, 22.2% advanced recycling, and 1.9% sterilization.
3.2. Greenhouse Gas Emissions and Sensitivity Analysis
As-is GHG emissions generated by processing the unit’s landfill waste (MSW and RMW) totalled 119.7 metric tons per year (mTPY) of CO2 equivalents (CO2e) (Table 3). With should-be sorting, the landfill-associated emissions decreased to 110.6 mTPY CO2e, a 7.7% decrease. The sensitivity analysis models how decreasing the quantity of waste sorted into RMW reduces GHG emissions (Table 4).
Table 3.
Comparison of annual CO2 equivalents produced by processing of landfilled waste as-is vs. as should-be.
| Waste Category | As-Is Sorting | Should-Be Sorting | Absolute Difference in CO2e (mTPY) | Percent Change in CO2e | ||
|---|---|---|---|---|---|---|
| CO2e (mTPY) | Percent Total | CO2e (mTPY) | Percent Total | |||
| MSW | 45.7 | 38.2% | 33.1 | 29.9% | − 12.6 | − 27.6% |
| RMW | 74.0 | 61.8% | 77.5 | 70.1% | 3.5 | 4.7% |
| Total | 119.7 | 100.0% | 110.6 | 100.0% | − 9.2 | − 7.7% |
Notes:
mTPY = metric tons per year
CO2e = CO2 equivalents, calculated by M+ WasteCare calculator as: CO2 emissions + (28*CH4 emissions). These emissions reflect the processing of this waste including landfilling of MSW and autoclaving followed by landfilling of RMW. The calculations are made with the assumption that 44 kwh/ton of electricity are required to autoclave RMW. Per the Mazzetti M+ WasteCare Calculator, RMW generates 14.7 TPY of CO2e per ton of waste processed vs. MSW which generates 1.56 TPY of CO2e per ton of waste processed.
Table 4.
Sensitivity analysis modeling how allocating varying proportions of RMW to MSW alters GHG emissions.
| Percent of RMW allocated to MSW | Resultant MSW emissions (mTPY CO2e) | Resultant RMW emissions (mTPY CO2e) | Resultant MSW + RMW emissions (mTPY CO2e) | Absolute percent change in emissions from baseline | |
|---|---|---|---|---|---|
| Baseline | 0% | 0.0 | 74.0 | 74.0 | 0.0% |
| Modeled cases | 10% | 0.8 | 66.6 | 67.4 | − 8.9% |
| 20% | 1.6 | 59.2 | 60.8 | − 17.9% | |
| 30% | 2.4 | 51.8 | 54.2 | − 26.8% | |
| 40% | 3.2 | 44.4 | 47.6 | − 35.8% | |
| 50% | 3.9 | 37.0 | 40.9 | − 44.7% | |
| 60% | 4.7 | 29.6 | 34.3 | − 53.6% | |
| 70% | 5.5 | 22.2 | 27.7 | − 62.6% | |
| 80% | 6.3 | 14.8 | 21.1 | − 71.5% | |
| 90% | 7.1 | 7.4 | 14.5 | − 80.4% | |
| 100% | 7.9 | 0.0 | 7.9 | − 89.4% |
Notes:
mTPY = metric tons per year
CO2e = CO2 equivalents, calculated as CO2 emissions + (28*CH4 emissions). This sensitivity analysis considers total CO2 equivalents produced in scenarios of increasing diversion of the 13.8 kg of as-is RMW to MSW. A sensitivity analysis was performed because as we were unable to open and sort RMW and sharps containers to define the true should-be RMW quantity in our study.
4.0. Discussion
Over the 24-hour study periods, the 20-bed Neuro ICU generated 97.3 kg of waste per day, 4.9 kg of waste per patient-day and an estimated 35,260 kg of waste per year. Processing this waste generates 119.7 metric TPY of CO2e annually, comparable to driving an average passenger vehicle 484,139 km, or 12 times the circumference of Earth.17 With addition of alternative waste streams, nearly 25% of the Neuro ICU’s waste could be diverted from landfills with an associated decrease in landfill-associated emissions of almost 8%. Importantly, even with maximal diversion, the majority of waste would still be destined for landfills. This highlights the urgent need for complementary upstream waste reduction strategies to reduce the Neuro ICU’s environmental impact most meaningfully.
4.1. Areas of Opportunity
One key area of opportunity identified was industrial composting, which comprised almost half of the potentially divertible waste. Much of this stream was food waste from returned patient meal trays, one-fifth of which were completely untouched. The Neuro ICU is a unique setting because many patients are unable to eat due to their medical conditions and often do not have meals delivered. Only 12 meal trays were ordered, the equivalent of breakfast, lunch, and dinner for 4 patients, 20% of the patient census (Supplemental Figure 4). Additionally, COVID-19 changes including closed visitor waiting rooms and a one-visitor limit may have reduced the quantity of food and paper food packaging recovered. However, compostable material comprised 11.8% of the total should-be waste which falls within the range reported in previous waste audits: 6.2% in an Emergency Department audit10 and 17.1–31% in audits of entire hospitals.18–20 The potential impact of post-consumer composting on diverting food waste from landfills may be even higher in other care settings, and pre-consumer industrial composting’s benefits have been demonstrated in hospital kitchens.21
Unlike other ICU waste audits,9,22 our greatest opportunity for waste diversion was not increased sorting into mechanical recycling. Only 3.2% of as-is waste was sorted into mechanical recycling, which increased to only 6.9% of total waste with should-be segregation. This relatively modest increase could be because the hospital’s mechanical recycling vendor is limited in the materials they accept: unsoiled paper products, aluminum cans, and polyethylene terephthalate (PET, or plastic #1). Additionally, many potentially acceptable materials were not clean enough to meet the recycler’s standards. Although there are abundant MSW containers on the unit, in each patient room and throughout common areas, there were only three mechanical recycling receptacles. Lack of accessibility could make recycling less convenient and contribute to the incorrect sorting of recyclable items as MSW. Additionally, restricted pandemic visitor policies may have decreased the amount of recyclable plastic food packaging disposed of on the unit.
RMW comprised 14.2% and 15.0% of total waste in our as-is and should-be scenarios respectively, falling within the range reported in other hospital settings of 2.8–19.2%.10–12 However, visual inspection of the RMW bags revealed numerous urine and feces-soaked pads, linens, and bedpans, suggesting a high degree of mis-segregation of MSW into RMW. The Occupational Safety and Health Administration (OSHA) guidelines regarding what constitutes RMW are vague and discretion is left to individual states to define this waste category.23 Georgia’s guidelines define biomedical waste as “blood and blood products, exudates, secretions, suctionings and other body fluids” without delineating fluid quantity or infectious capacity.24 Much is left to individual interpretation, and as a result, healthcare workers may err on the side of over-utilizing RMW. Our sensitivity analysis models the impact of increasing proportions of the as-is RMW being sorted as MSW, providing valuable insight into how emissions might be reduced. Even if a small percentage of waste currently disposed of as RMW was correctly segregated into MSW, the associated emissions produced by processing decrease substantially. The U.S. lacks evidence-based guidelines outlining the appropriate RMW percent composition in hospital waste; however, Practice Greenhealth, a healthcare sustainability nonprofit, suggests that RMW comprise no more than 10% of total hospital waste.25 To reach this goal, the Neuro ICU’s RMW would have to decrease by 30%, resulting in a 26.8% decrease in RMW-associated emissions.
Advanced recycling comprised slightly over one fifth of the potentially divertible waste produced. Challenges in implementing this stream would be training staff to discern acceptability as many small plastic items (needle caps, IV parts) are un-numbered and to clean items to meet vendor requirements. However, advanced recycling has the potential to substantially reduce the volume of landfill waste, particularly from procedure-heavy environments as many supply kits contain plastics which can be recycled through chemical processes. Clarity on how advanced recycling programs could interface with the realities and limitations of healthcare waste disposal practices represents an important opportunity for exploration.
The smallest should-be category was the reprocessing stream of sterilization, comprising approximately 2% of potentially divertible waste. There may be greater opportunity for resource recovery in procedural settings where items are often prepared but not used and units with high proportions of patients on isolation precautions such as designated COVID-19 units.
4.2. Implications for Practice
Conducting a waste audit allows for elucidation of current waste production practices and identification of the most significant areas of opportunity for waste reduction. Once these areas are identified, tailored diversion strategies can be implemented. While the introduction of alternative waste streams has the potential to reduce landfill waste, successful implementation will require substantial staff-training and buy-in to overcome the inertia of current waste disposal practices.
To further reduce waste, a multipronged approach including upstream waste minimization is necessary. For example, our work in the Neuro ICU helped catalyze the replacement of the unit’s single-use isolation gowns with reusable cloth gowns which have an average lifecycle of 50+ uses before disposal.26 This change has both decreased the unit’s waste generation and safeguarded the unit’s PPE against COVID-19 related supply chain shortages. Other promising upstream methods include repurposing medical equipment,27 streamlining surgical kits,28,29 and optimizing food services’ operational procedures,21 including using reusable dishware and silverware.
4.3. Limitations
This study has several limitations. This was an observational, single-center audit conducted over multiple 24-hour time periods during the COVID-19 pandemic in the Neuro ICU, a specific type of care setting which may limit the generalizability of our results. While previous ICU audits have considered the proportion of patients on mechanical ventilation and hemofiltration,22 we did not access patient records to determine illness severity during waste collection periods. We were unable to open and sort RMW, PHI, and sharps waste to determine correct categorization due to safety and privacy concerns. However, our sensitivity analysis of RMW considered the effects of assumed mis-sorting of RMW. The scale used for all measurements was accurate to 0.1 lb, a potential source of error for smaller quantities of waste. Meal trays, mechanical recycling, and sharps containers were quantified on different days from other waste. However, patient load and distribution were similar, so the different weekdays are likely equally representative of waste production in the Neuro ICU.
Our GHG calculations were not cradle-to-grave and included only GHG emissions generated by processing landfill waste (MSW and RMW). We recognize that waste comprises a minority of total healthcare GHG emissions, and the majority of ICU emissions derive from electricity and gas utilization.30 Additionally, annual GHG emissions were calculated based on 24-hour weekday study periods, which may overestimate total annual emissions due to lighter weekend staffing. However, the unit’s patient census is stable at 95% or greater bed-occupancy year-round. This study calculated GHG emissions using Mazzetti’s M+ WasteCare Calculator tool, which has embedded assumptions about landfilling and autoclaving. Other models may estimate emissions differently.
5.0. Conclusion
Almost one-quarter of waste from the Neuro ICU could be diverted from landfills through the implementation of alternative waste and reprocessing streams including industrial composting, mechanical and advanced recycling, and sterilization. This would result in a 7.7% decrease in GHG emissions produced by processing landfill waste. Upstream waste reduction is an urgent and essential strategy to complement waste diversion to reduce the environmental impact of the Neuro ICU and to fulfill healthcare’s mission to do no harm.
Supplementary Material
Highlights.
This waste audit was the first conducted in a Neuro ICU during COVID-19 pandemic
Our analysis employs a novel “as-is” versus “should-be” waste disposal framework
The Neuro ICU generates 35,260 kg of waste and 120 metric tons CO2e annually
Industrial composting offers greatest opportunity to increase landfill diversion
75% of waste is landfilled with maximal diversion stressing waste reduction need
Acknowledgements
We thank David Hatcher and the EVS staff along with David Horning and the food services staff who helped execute the logistics of this study. We thank our volunteers Alex Kiszynski, Drew LeClair, and Gilda Rastegar for their help with data collection. We are grateful to the Emory Office of Sustainability Initiatives for their support of this work. We are also grateful to the leadership and support of members of the Emory Medical Students for Climate Action group.
Funding
This research did not receive any grant from funding agencies in the public, commercial, or not-for-profit sectors.
Footnotes
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CRediT author statement:
Lisette Corbin: Conceptualization, Methodology, Investigation, Formal Analysis, Writing- Original Draft, Writing- Review & Editing
Hannah Hoff: Conceptualization, Methodology, Investigation, Formal Analysis, Writing- Original Draft, Writing- Review & Editing
Alison Smith: Conceptualization, Methodology, Investigation, Formal Analysis, Writing- Review & Editing
Clint Owens: Conceptualization, Project Administration, Writing- Review & Editing
Kelly Weisinger: Supervision, Validation, Writing- Review & Editing
Rebecca Philipsborn: Supervision, Validation, Writing- Review & Editing
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