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Antimicrobial Resistance and Infection Control logoLink to Antimicrobial Resistance and Infection Control
. 2024 Dec 24;13:156. doi: 10.1186/s13756-024-01507-0

The environmental impact and sustainability of infection control practices: a systematic scoping review

Oliver Lim 1, Wei Yu Chua 1, Andrew Wong 1, Ryan Ruiyang Ling 1, Hwang Ching Chan 2, Swee Chye Quek 1,3, Sean Wu 4,, Jyoti Somani 1,4
PMCID: PMC11668097  PMID: 39719628

Abstract

Infection prevention and control (IPC) programs form the basis of minimizing spread of pathogens in the healthcare setting and beyond. The COVID-19 pandemic amplified the demand for IPC. However, the environmental impact of IPC practices has yet to be addressed and attempts to quantify its climate implications have been sparse. We performed a scoping review to identify current evidence regarding the environmental footprint of IPC measures and to highlight existing gaps in the literature. We included 30 articles, with 23 quantifying the environmental impact by mass of waste generated, six via carbon emissions, and one reporting on the concentration of volatile organic compounds. The mass of infectious waste ranged from 0.16 to 3.95 kg/bed/day, with large variability between countries. In general, higher-income countries produced more waste than lower-income countries. Significant carbon emission savings resulted from substituting reusable gowns and sharps containers, compared to single use items. The most significant gaps are the overall lack of standardisation in quantifying the environmental footprint of IPC-related practices, and a lack of studies on carbon emissions stemming from low and lower-middle income countries. We quantify the environmental impact of IPC practices, suggest areas of infection control that warrant further evaluation, and an approach to standardising environmental metrics in an attempt to better map out the climate implications of adopted IPC measures.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13756-024-01507-0.

Keywords: Infection prevention, Infection control practices, Sustainability, Climate change, Environmental impact

Introduction

Climate change has evolved into the greatest global health threat of the twenty-first century [1]. Rising temperatures beyond target thresholds of 2 °C are likely to negatively impact every facet of human life.

Dedicated measures within health care settings to contain and reduce the risk of transmission of infectious pathogens and hospital acquired multi-drug resistant organisms (MDROs), otherwise known as infection prevention and control (IPC), have clear benefits in reducing morbidity and mortality from healthcare-acquired infections (HAIs). However, IPC practices require substantial personal protective equipment (PPE), including gowns, gloves and masks which are disposed after one time use. Other single use items such as IVs, IV tubing, single-dose vials, etc., and those needed for cleaning and disinfecting are needed almost daily in patient care. Single-use items reduce the risk of transmission of pathogens between patients whether it be by person to person transfer (hands), environmental transfer (fomites) or transmission via contaminated fluids including body fluids. The use of PPE and other single use items for IPC not only requires large amounts of energy for manufacturing but can also create infectious or chemical waste, all of which are detrimental to the environment. A single surgical mask is estimated to release 0.059 kg carbon dioxide equivalents (CO2eq) into the atmosphere and contribute to 12–13 g of waste per unit [2, 3]. Plastic debris from improper face mask disposal is expected to result in 150–390 thousand tons of marine pollution annually worldwide [4]. There is a need to balance good IPC practices with sustainability; the recent COVID-19 pandemic has highlighted the environmental impact of IPC measures, especially with the surge in demand for PPE and disposable products [58].

The principles governing IPC are well established, and evidence supports the benefits and cost-savings of IPC programmes, though low- and lower-middle income countries continue to be underrepresented [9]. In contrast, there is a paucity of studies assessing the environmental implications of IPC practices [9]. Some studies have explored the impact of eye-health [10], anaesthesia [11], and surgery [1214], on the climate, highlighting the evolving need for healthcare to not only serve its apparent medical purpose, but to also be environmentally sustainable in the face of a volatile climate. We therefore undertook this systematic scoping review in an attempt to quantify the available evidence on the environmental impact of various forms of infection control, how such an impact translates to sustainability in the long-term, and to identify gaps in the literature.

Methods

Search strategy

We performed a systematic search while adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement [15], and registered the study with PROSPERO (CRD42023456805). The PRISMA Extension for Scoping Reviews (PRISMA-ScR) can be found in Table S1 [16]. We searched Medline (Ovid) and Embase databases from inception through 18 September 2024 using the keywords “infection”, “transmission”, “climate change”, “global warming” and relevant infection control terms such as “mask”, “PPE” and “gloves” (Table S2). References were imported into EndNote X9 for the initial sieve with the removal of duplicates. References of related reviews and included articles were also hand-screened to ensure a comprehensive search.

Study selection

Eligibility for inclusion was determined by two authors (OL and WYC) who screened articles independently from the initial sieve, with a third independent author involved in the resolution of conflicts (AW). We included studies which quantitatively measured the environmental impact of infection control practice found in standard, contact, droplet or airborne precautions [17], using measures including mass of waste (usually in kg or tons), carbon dioxide equivalents (CO2eq), energy expenditure (kWh), and air or marine pollution, in a hospital setting and/or health-care facility. Studies were excluded if they were reviews, meta-analyses, editorials, commentaries or non-Human studies. Conference abstracts were included if they contained relevant information. We sought translation for non-English language studies if the need arose. With previous reviews having analysed the environmental cost of surgery [13], we excluded studies with a surgical focus and those performed in the setting of an operating theatre. Studies which reported data that did not have direct environmental implications or lacked suitable conversion formulae to a measurable metric of interest (i.e. economic cost of waste management, number/incidence of new infections, number of hospital admissions) were also excluded.

Data extraction

Data from the included articles were extracted independently by two authors who were blinded in the process. The data collection template can be accessed in Table S3. Briefly, we extracted data on study characteristics (country, year of study, setting of study, COVID-19 vs non COVID-19, income-level of country in the year of publication (as defined by the World Bank classification), infection-control related data (specific type of precaution being studied, main findings), and environmental impact (mass of waste, number of beds and patients, carbon dioxide emissions, and other relevant environmental matrices if reported by the authors). Any discrepancies which arose post-extraction were brought up for discussion and resolved, with involvement of a third independent author where deemed necessary. Data on infectious waste and emissions were reported in differing units across the included studies, and were standardised wherever possible.

Data synthesis

We had initially planned to perform a systematic review. However, recommendations have been made for scoping reviews over systematic reviews when the scope of a topic remains poorly defined, and when broad research questions have yet to be answered [18, 19]. The lack of literature and overwhelming heterogeneity of data led to a switch in study type. Data from studies were thematically assessed, with both qualitative and quantitative data synthesised and presented narratively. We expanded on themes related to the environmental cost of each form of IPC, how cost was quantified across studies, and looked for possible reasons when discrepancies arose.

Role of the funding source

There was no funding source for this study.

Results

Summary of included studies

Of 8,911 articles, we excluded 8,741 articles and shortlisted 170 full texts for review. A total of 30 studies were included. [2049] (Fig. 1). Fourteen of the studies [22, 23, 25, 27, 30, 31, 3436, 39, 42, 44, 48, 49] were identified via hand-screening of included articles and citation-searching. 23 studies reported on the mass of infectious waste produced [2029, 3234, 3640, 4244, 47, 48], six on carbon emissions, [31, 35, 41, 45, 46, 49] and one on the concentration of volatile organic compounds (VOCs) emitted. [30] The summary of included articles can be found in Table 1.

Fig. 1.

Fig. 1

Preferred reporting items for systematic reviews and meta-analyses (PRISMA) flow diagram

Table 1.

Summary of included studies

Title; Author Country, year Income-level* Summary of study design Type of precaution studied Main findings Variable used to quantify environmental impact

Characteristics of the medical waste generated at the Jordanian hospitals

Abu-Qdais et al. [19]

Jordan, 2006 Lower middle

Cross-sectional study

Weighing, sorting of waste and surveys were conducted in 5 hospitals in Jordan

Standard precaution The weighted mean infectious medical waste by the hospitals covered by the survey is 0·61 kg/bed/day Mass of infectious waste (kg/bed/day)

Statistical analysis and characteristics of hospital medical waste under novel Coronavirus outbreak

Abu-Qdais et al. [20]

Jordan, 2020 Upper middle

Cross-sectional study

The composition of medical waste generated was analysed during the COVID-19 pandemic in a major tertiary care hospital in Jordan

Standard precaution The mean amount of infectious medical waste generated from coronavirus treatment was 3·95 kg/bed/day, which are more than tenfold higher than the average generation rate of 0·41 kg/bed/day before the pandemic Mass of infectious waste (kg/bed/day)

Estimation of COVID-19 generated medical waste in the Kingdom of Bahrain

Al-Omran et al. [21]

Bahrain, 2021 High

Cross-sectional study

The amount of PPE waste generated during COVID-19 among healthcare facilities in the Kingdom of Bahrain was studied. PPE waste generation per healthcare worker (HCW) per day was estimated

Contact precaution PPEs used by medical staff in 5 healthcare facilities was 2·62 kg/HCW/day Mass of PPE waste (kg/HCW/day)

Clinical laboratory waste management in Shiraz, Iran

Askarian et al. [22]

Iran, 2012 Upper middle

Cross-sectional study

Waste across 109 clinical laboratories were collated over a period of 1 month

Standard precaution Infectious waste amounted to 0.4 ± 0.35 kg/patient/day across the 109 laboratories Mass of infectious waste (kg/patient/day)

Characterization and management of solid medical wastes in the Federal Capital Territory, Abuja Nigeria

Bassey et al. [23]

Nigeria, 2006 Low

Cross-sectional study

Management of solid medical wastes in five selected hospitals was studied

Standard precaution The mean infectious waste produced was 0·35 kg/bed/day Mass of infectious waste (kg/bed/day)

Qualitative and quantitative evaluation of medical waste products in Côte d'Ivoire

Bitty et al. [24]

Ivory Coast, 2013 Lower middle

Cross-sectional study

Medical waste across both the public and private healthcare systems were monitored

Standard precaution Taking the total proportion of infectious waste to be 59.39% of total medical waste as reported by the authors, the national average of infectious waste is estimated at 0.37 kg/bed/day Mass of infectious waste (kg/bed/day)

Medical waste production at hospitals and associated factors

Cheng et al. [25]

Taiwan, 2008 High

Cross-sectional study

This study was conducted to evaluate the quantities of medical waste generated of 150 healthcare establishments in Taiwan

Standard precaution

Mean infectious waste generated by type of medical establishment

Medical centres: 0.60 kg/bed/day

Regional hospitals: 0.44 kg/bed/day

Local hospitals: 0.88 kg/bed/day

Clinics and others: 0.19 kg/bed/day

Mass of infectious waste (kg/bed/day)

Thinking green: Modelling respirator reuse strategies to reduce cost and waste

Chu et al. [26]

USA, 2021 High

Cost-analysis study

The authors assumed a model with universal masking of all healthcare workers across 6 months of the COVID-19 pandemic. Waste generated per patient was estimated by dividing the total amount of waste by the total number of hospitalised patients with COVID-19 during the first 6 months of the pandemic. Multiple respirator strategies were analysed

Airborne precaution

Assuming 6 months to be 182.5 days, the estimated environmental impact of N95 respirators with various strategies are outlined

1 per patient encounter: 1.16 kg/patient/day

1 per day: 0.515 kg/patient/day

Ultraviolet germicidal irradiation (UVGI) decontaminated 3 M 1860 N95 respirators: 0.257 kg/patient/day

H2O2 decontaminated 3 M 1860 N95 respirators: 0.180 kg/patient/day

Reusable respirator and disposable filters: 0.217 kg/patient/day

Reusable respirator and decontaminated filters: 0.022 kg/patient/day

1 surgical mask per day: 0.386 kg/patient/day

Mass of N95/respirator waste (kg/patient/day)

Medical waste management in Ibadan, Nigeria: Obstacles and prospects

Coker et al. [27]

Nigeria, 2008 Lower middle

Cross-sectional study

52 healthcare facilities in Ibadan, Nigeria were studied, of which only 1 was a tertiary care hospital

Standard precaution In the tertiary hospital, the mean amount of infectious waste produced was 20·1 kg/day Mass of infectious waste (kg/day)

Assessment of the health care waste generation rates and its management system in hospitals of Addis Ababa, Ethiopia, 2011

Debere et al. [28]

Ethiopia, 2011 Low

Cross-sectional study

6 hospitals in Addis Ababa in Ethiopia was recruited to assess the health care waste generation rate and its management system across a period of two months

Standard precaution The amount of infectious waste generated varied from 0·037 to 0·116 kg/patient/day

Mass of infectious waste

(kg/patient/day)

The safety of non-incineration waste disposal devices in four hospitals of Tehran

Farshad et al. [29]

Iran, 2014 Upper middle

Cross-sectional study

The concentration of volatile organic compounds (VOCs) emitted from four non-incinerator waste disposal methods were analysed in four hospitals across a 10-week period

Standard precaution

Among 40 VOCs tested, benzene, toluene, ethyl benzene, and xylene, collectively BTEX, were detected. Mean concentration of VOCs produced

Autoclave without shredder:1.78 ppm

Dry-heat system: 5.47 ppm

Autoclave with shredder: 9.3 ppm

Hydroclave: 5.5 ppm

Concentration of VOCs (ppm)

Before/after intervention study to determine impact on life-cycle carbon footprint of converting from single-use to reusable sharps containers in 40 UK NHS trusts

Grimmond et al. [30]

UK, 2020 High

Life-cycle assessment

Across 40 acute care hospitals in the UK, the carbon footprint of utilising single-use sharps containers and reusable sharps containers were compared across a 12 month period

Standard precaution The use of single-use sharps containers produced 3896.4 tonnes of CO2 across the 12-month period, compared to 628.9 tonnes of CO2 after switching to reusable containers, a 83.9% decrease. This further eliminated incineration of 900.8 tonnes of plastic and 132.5 tonnes of cardboard Metric tonnes carbon dioxide equivalent (MTCO2e)

Variations in Hospital Waste Quantities and Generation Rates

Hamoda et al. [31]

Kuwait, 2005 High

Cross-sectional study

The authors quantified waste generation from the 2 largest hospitals in Kuwait

Standard precaution The mean infectious waste produced was 1·04 kg/bed/day and 1·09 kg/bed/day for Amiri Hospital & Mubarak Hospital respectively Mass of infectious waste (kg/bed/day)

Pattern of medical waste management: existing scenario in Dhaka City, Bangladesh

Hassan et al. [32]

Bangladesh, 2008 Low

Cross-sectional study

Health care establishments in Dhaka City, amounting to 2884 beds, were surveyed on waste production and management

Standard precaution DMCH, BMCH and General Hospitals produced 0·29, 0·24 and 0·22 kg/bed/day of infectious waste respectively Mass of infectious waste (kg/bed/day)

Characteristics and management of infectious industrial waste in Taiwan

Huang et al. [33]

Taiwan, 2008 High

Cross-sectional study

Data from Taiwan’s Department of Health and EPA were retrieved to survey the production of infectious waste

Standard precaution Assuming a bed-occupancy of 100% and a total number of 95,810 beds across Taiwan’s general hospitals, infectious waste was 2.5 kg/bed/day Mass of infectious waste (kg/bed/day)

Sustainability and shared smart and mutual green growth (SSaM-GG) in Korean medical waste management

Koo et al. [34]

South Korea, 2015 High

Life-cycle assessment

Four available treatment systems of medical waste (incineration, incineration with heat recovery, steam sterilisation, and microwave disinfection) were studied to treat infectious waste prior to disposal. A functional unit of 1,000 kg of regulated medical waste (RMW) was chosen

Standard precaution

Incineration: 1213 kg-CO2/t

Incineration with heat recovery: 455 kg-CO2/t

Steam sterilisation: 490 kg-CO2/t

Microwave disinfection: 99 kg-CO2/t

Mass of CO2 emission per ton of waste (kg-CO2/t)

Auditing an intensive care unit recycling program

Kubicki et al. [35]

Australia, 2013 High

Cross-sectional study

The weight and proportion of ICU waste and recyclables were studied across 7 non-consecutive days in a 11-bed ICU

Standard precaution Mean infectious waste produced was 1.78 kg/bed/day Mass of infectious waste (kg/bed/day)

Characteristics of Medical Waste in Taiwan

Kuo et al. [36]

Taiwan, 1998 High

Cross-sectional study

Twenty-eight public hospitals in Taiwan were surveyed and records on general and infectious waste production were kept for one year

Standard precaution The mean infectious waste produced was 0·39 kg/bed/day Mass of infectious waste (kg/bed/day)

Analyses of the recycling potential of medical plastic wastes

Lee et al. [37]

USA, 2002 High

Cross-sectional study

Site visits to five typical city hospitals were conducted. Plastic waste was physically examined, and data regarding each hospital’s waste stream and disposal was conducted

Standard precaution The mean amount of infectious waste produced was 1·49 kg/bed/day Mass of infectious waste (kg/bed/day)

Healthcare waste management status in Lagos State, Nigeria: a case study from selected healthcare facilities in Ikorodu and Lagos metropolis

Longe et al. [38]

Nigeria, 2011 Lower middle

Cross-sectional study

20 healthcare institutions comprising of diagnostic centres, clinics, health centres, and hospitals (both public and private) were visited across 12 weeks

Standard precaution We excluded the four diagnostic centres because information on bed number was not available. Across the rest of the 16 sites totalling 1,243 beds, the mean amount of infectious waste was 0.22 kg/bed//day Mass of infectious waste (kg/bed/day)

Medical Waste Management: A Case Study of the Souss-Massa-Drâa Region, Morocco

Mbarki et al. [39]

Morocco, 2013 Lower middle

Cross-sectional study

The authors conducted a study regarding medical waste generation, separation, collection, storage, transportation, and disposal across seven hospitals

Standard precaution The mean infectious waste produced was 0·16 kg/bed/day Mass of infectious waste (kg/bed/day)

Influence of COVID-19 on the 10-year carbon footprint of the Nagoya University Hospital and medical research centre

Morooka et al. [40]

Japan, 2020 High

Longitudinal study

Data on electricity, gas, and water usage, pharmaceutical and medical supply costs, and waste amounts were recorded for Nagoya University Hospital from April 2010 to March 2021. The effect of the COVID-19 pandemic on the carbon footprint was then compared for three types of emission sources

Standard precaution

Total emission from infectious medical waste:

2019 (Pre-COVID): 114,470 kg-CO2/ year

2020 (COVID):147,620 kg-CO2/ year

Mass of CO2 emission per year (kg-CO2/ year)

Bio-Medical Waste Managment in a Tertiary Care Hospital: An Overview

Pandey et al. [41]

India, 2016 Lower middle

Cross-sectional study

The observational study was carried out over a period of five months in Chhatrapati Shivaji Subharti Hospital, Meerut

Standard precaution The mean infectious waste generated was 0·34 kg/bed/day Mass of infectious waste (kg/bed/day)

Assessment and selection of the best treatment alternative for infectious waste by modified Sustainability Assessment of Technologies methodology

Rafiee et al. [42]

Iran, 2016 Upper middle

Cross-sectional study

Across a period of three months, infectious waste generated in the Iman Khomeini hospital complex was measured

Standard precaution The mean amount of infectious waste produced was 1·15 kg/bed/day Mass of infectious waste (kg/bed/day)

Assessment and selection of the best treatment alternative for infectious waste by Sustainability

Assessment of Technologies (SAT) methodology

Rahmani et al. [43]

Iran, 2020 Lower middle

Cross-sectional study

Four hospitals in Ardabil formed the setting of this study, with in-person and field visits performed. Mass of waste generated was tabulated

Standard precaution The mean amount of infectious waste produced was amounted to 2·42 kg/bed/day Mass of infectious waste (kg/bed/day)

The carbon footprint of waste streams in a UK hospital

Rizan et al. [44]

UK, 2020 High

Cross-sectional study

The carbon footprint of different waste streams based on disposal methods in 3 UK hospitals were measured

Standard precaution

Decontamination of hospital waste, including electricity, gas/oil, and water supplies

338 kg CO2e/t

Infectious waste

Autoclave decontamination: 569 kg CO2e/t

Clinical, sharps, anatomical and medicinal waste

High temperature incineration: 1074 kg CO2e/t

Mass of CO2 emission per ton of waste (kg-CO2/t)

Environmental impact of personal protective equipment distributed for use by health and social care services in England in the first six months of the COVID-19 pandemic

Rizan et al. [45]

UK, 2021 High

Life-cycle assessment

The environmental impact of commonly used PPE were individually assessed. The impact was then extrapolated to health and social care services in England during the COVID-19 pandemic across a 6-month period. Besides global warming potential, other metrics including ionising radiation, water consumption, and marine, air, and land pollution were analysed

Contact precaution

Carbon footprint of individual PPE items:

Single-use gown: 905 g CO2e

Face shield: 231 g CO2e

Cup fit FFP respirator: 125 g CO2e

Duckbill FFP respirator: 76 g CO2e

Apron: 65 g CO2e

Glove: 26 g CO2e

Surgical mask (type IIR): 20 g CO2e

Surgical mask (type II): 13 g CO2e

Total 6 month carbon footprint of all PPE items: 106,477,990 kg CO2e

Mass of CO2 emission (g CO2e)

Healthcare waste generation and management practice in government health centers of Addis Ababa, Ethiopia

Tadesse et al. [46]

Ethiopia, 2014 Low

Cross-sectional study

Ten health centres were chosen, with seven consecutive days of waste collection performed. Total waste/day was measured using a weighing scale. On site visits and interviews were also conducted

Standard precaution The mean amount of infectious waste was 2·29 kg/day Mass of infectious waste (kg/day)

The challenge of medical waste management: a case study in northwest Iran-Tabriz

Taghipour et al. [47]

Iran, 2009 Upper middle

Cross-sectional study

The amount of infectious waste produced in 10 of the 25 active hospitals in Tabriz (Iran’s fourth largest city) were collated. Further observations and figures regarding the disposal of waste was made

Standard precaution The mean amount of infectious waste produced across the ten hospitals was 1·04 kg/bed/day Mass of infectious waste (kg/bed/day)

Environmental considerations in the selection of isolation gowns: A life cycle assessment of reusable and disposable alternatives

Vozzola et al. [48]

USA, 2021 High

Life-cycle assessment

The environmental impact of reusable and disposable isolation gowns were compared on the basis of energy consumption, greenhouse gas emissions, blue water consumption and solid waste generation

Contact precaution

Metrics are presented per 1,000 uses

Reusable vs disposable

Global warming potential: 218 vs 310 kg CO2eq

Natural resource energy: 3,712 vs 5,150 MJ

Blue water: 43.8 vs 74.6 kg

Solid waste at hospital site: 0.4 vs 63.4 kg

Mass of CO2 emission (kg CO2eq)

Natural resource energy (MJ)

Blue water (kg)

Mass of waste (kg)

*Based-off the World Bank classification for economies. Studies were performed across different time periods, and the income-level of the country in that particular year was used. Income levels ranged from low, lower middle, upper middle and high

Wdi—the world by income and region [Internet]. [cited 2023 Oct 30]. Available from: https://datatopics.worldbank.org/world-development-indicators/the-world-by-income-and-region.html

†Based off manual calculation from reported data in articles

Mass of waste

The majority of our articles reported on mass of waste, of which a large proportion (21 studies) was infectious waste. Other specific waste types included PPE waste and N95 or respirator generated waste (one study each). Studies were evenly spread across income brackets, with 12 and 11 studies originating from upper-middle to high income countries and low to lower-middle income countries respectively. We attempted to standardise the units for waste generated, ideally reporting it in kg/bed/day (or kg/patient/day) to allow for some degree of inter-study comparison. Across all studies, infectious waste ranged from 0.16 to 3.95 kg/bed/day [21, 40]. The study responsible for the largest amount of waste was conducted at the height of the COVID-19 outbreak [21]. Excluding this study, all other studies were non-COVID-19 in nature, with infectious waste ranging from 0.16 to 2.5 kg/bed/day [34, 40]. Four articles reported on infectious waste using other units, ranging from 2.3 to 20.1 kg/day and 0.04 kg/patient/day to 0.4 kg/patient/day.

A cost-analysis study by Chu et al. reported on the mass of N95 waste with different respirator strategies. We assumed a period of 6 months to be approximately 182.5 days, and estimated the environmental impact to range from 0.022 kg/patient/day when using reusable respirator and decontaminated filters to 1.16 kg/patient/day if one N95 respirator was used per patient encounter. Across five healthcare facilities in Bahrain, we calculated that the average amount of PPE utilised per healthcare worker was 2.62 kg/day, although this included facilities dealing with both suspected and confirmed cases of COVID-19 infection [22].

Carbon emissions

Six studies quantified environmental impact through carbon emissions. Two studies looked at the environmental impact of sterilisation methods. Rizan et al. examined the carbon footprint of waste streams in a UK hospital, with high-temperature incineration having the greatest environmental impact producing 1074 kg CO2e/t of waste. This method of sterilisation was utilised for clinical waste, clinical sharps, anatomical waste and medicinal waste, as mandated by national guidelines [45]. Specific to infectious waste, autoclave decontamination produced 569 kg CO2e/t. The carbon footprint from electricity, gas/oil, and water supplies was 338 kg CO2e/t. A similar study on treatment systems for infectious waste found the highest and lowest global warming potentials with incineration and microwave disinfection respectively (1213 kg CO2e/t vs. 99 kg CO2e/t).

Articles performing life-cycle assessments were also included. A study of PPE use during the first six months of the COVID-19 pandemic in the UK was performed. The carbon footprint of individual PPE items were: Single-use gown (905 g CO2e), face shield (231 g CO2e), respirators (76–125 g CO2e), apron (65 g CO2e), gloves (26 g CO2e), surgical masks (13–20 g CO2e). The total carbon footprint produced over 6 months from all PPE items was 106,477,990 kg CO2e. Two studies compared reusable vs disposable IPC strategies related to isolation gowning and sharps container use. Per 1,000 uses, reusable gowns emitted 30% less greenhouse gases (218 vs. 310 kg CO2eq). Sensitivity analyses with different products showed consistent environmental benefits with a reusable gown strategy. Adopting a reusable strategy with sharps containers generated 628.9 tonnes of CO2 compared to 3896.4 tonnes over a 12 month period, representing a 83.9% decrease in CO2 emissions.

In the sole longitudinal study across a 10 year period, the total annual carbon footprint produced by the Nagoya University Hospital steadily increased. This was accompanied by a spike in infectious waste from 2019 to 2020 and a significant increase in yearly infectious waste related emissions from 114.47 to 147.62 tCO2eq, although the overall carbon footprint had dropped during the pandemic owing to confinement measures and lower patient load [41]. A positive correlation between the monthly average temperature and monthly carbon emissions across a 7-year period was also seen, with a significant increase in the carbon footprint per admission between 2018 and 2020 owing to ‘more intensive medical care’ provided per-admission during the early part of the COVID-19 pandemic, and longer average hospital stays in 2020 as compared to 2018 (12.2 days vs. 11.9 days).

Other environmental metrics

The concentration of volatile organic compounds (VOCs) emitted via four non-incinerator waste disposal methods (autoclave with and without shredder, dry-heat system, and hydroclave) were studied by Farshad et al. Briefly, VOCs have been linked to a wide range of environmental and health implications, including respiratory, neurological and carcinogenic effects [50]. The concentration of VOCs ranged from 1.78 to 9.3 ppm when using an autoclave without and with a shredder respectively. The comparative study on reusable vs disposable isolation gowns also reported on other environmental metrics besides carbon emissions, with a reusable strategy consuming 28% less energy (3712 vs. 5150 MJ), 41% less blue water (43.8 vs. 74.6 kg, with blue water defined as all water that is removed from the supply chain, including water lost to evaporation and incorporated into the product), and large savings in waste generation (0.4 kg vs. 63.4 kg).

Trends across income level

Economic fluctuations in the countries were adjusted for based on year-specific data provided by the World Bank [51]. An assessment of the studies which had reported waste in kg/bed/day revealed that nine were conducted in countries belonging to low and lower-middle income brackets, of which eight generated less than 1 kg/bed/day of infectious waste. In contrast, all studies conducted in upper-middle and high income countries generated more than 1 kg/bed/day of infectious waste, with the exception of two Taiwanese studies producing 0.19 kg/bed/day to 0.39 kg/bed/day of infectious waste [26, 37].

Discussion

In its 2020 guidance report, the World Health Organisation (WHO) underlined the need for a sustainable approach to healthcare given a rapidly changing climate [52]. At the same time, the recent WHO global report on IPC reveals a worrying lack of progress, especially with “respect to the proportion of countries with an active national IPC programme, evidence-based and standardised national guidelines [9]”. However, there has been little mention in guidelines of the environmental impacts of current well-established IPC programs and the impact that the scaling up of programs globally will have on increasing carbon emissions from healthcare in general. Regardless, some countries have made concerted efforts to meet the aims of introducing sustainability in healthcare. The National Healthcare System (NHS) launched the ‘Greener NHS’ campaign to decarbonise itself, and move toward being a ‘net zero’ service by 2040 for emissions directly under its purview. A recent analysis across 49 regions demonstrated an increase of resource footprints in healthcare systems in the last 20 years, and is expected to grow as more energy intensive treatments continue to be implemented [53]. The need for greener healthcare services has clearly gained traction on the international stage. Yet, our scoping review highlighted the paucity of data measuring the environmental impact of the numerous IPC practices undertaken, rightfully, for patient safety. In contrast, the impact of volatile anaesthetic gases, such as desflurane, has received major attention throughout the years, due to its substantial global warming potential, and is gradually being phased out from use internationally [11, 54, 55]. The ubiquity of infection control is perhaps many times greater than the use of volatile anaesthetics, as evidenced by the unprecedented COVID-19 pandemic, and is poised to grow with the WHO’s recent call to increase IPC programs world-wide. Infection control practices are already being included as part of larger carbon footprint assessments, albeit as a constituent of other sectors such as medical and non-medical equipment, as well as water and waste [55, 56]. Isolating its impact from the larger umbrella of healthcare sectors would provide greater clarity on emissions attributable to infection control. This is critical for IPC programs so as to direct available resources at practices that are most likely to reduce the carbon footprint, while also preventing health care associated infections.

Most published studies focused on the mass of waste generated, in particular infectious waste, but demonstrated great variability between studies ranging from 0.16 kg/bed/day in a Moroccan study to 2.5 kg/bed/day in Taiwan. However, the Taiwanese study assumed a 100% occupancy rate of 95,810 beds across the nation, possibly overestimating the waste generated. We noted a general pattern of higher waste production with high and upper-middle income countries as opposed to those in lower-income brackets (Fig. 2A). This finding mirrors that of previous literature, including WHO’s fact sheet on healthcare waste [57, 58]. An important caveat lies with higher rates of improper waste segregation in lower-income countries, which we found to approach 30–50% in our studies [20, 42, 47], perhaps underestimating the true extent of infectious waste output in these countries. While mass of waste serves as a valuable research metric, its utility may fail to extend much further. Management of infectious waste differs depending on local policies and waste management strategies, ultimately generating varying amounts of carbon emissions even with the same amount of waste. Nonetheless, we propose that mass of waste be reported in kg/bed/day whenever feasible for future studies, instead of raw mass, enabling greater standardisation and comparison across both time and region. There was limited data on how generated waste further translated to greenhouse gas emissions, which failed to capture the potential carbon footprint of included IPC practices. The Japanese study was unique in the manner in which it broke down its carbon footprint in a detailed and practical way with measurements of electricity, gas, and waste, which were then coupled with country-specific emission factors to derive its carbon footprint [41]. However, the logistical and financial constraints of being able to amass such data should not be underestimated. Japan mandates that its institutions report their annual carbon footprint [59]. Additional costs incurred by round-the-year monitoring and out-sourcing of waste are not realistic on a global scale, particularly in less developed countries. Future studies should aim to quantify—ideally using standardised units—the carbon emissions, energy and water consumption, and risk for environmental pollution, from both the materials used for IPC, and those resulting from waste of the products, while accounting for any recycling versus disposal of IPC products (Fig. 3, Table S4).

Fig. 2.

Fig. 2

A: world map illustrating the geographic distribution of studies reporting on mass of waste. World map illustrating the geographic distribution of studies reporting on mass of waste. Countries reporting on mass of infectious waste (kg/bed/day) are shaded blue, with darkening of the colour gradient as mass of infectious waste produced increases. Countries shaded are Bangladesh (< 1), Morocco (< 1), Nigeria (< 1), India (< 1), Ivory Coast (< 1), Kuwait (1–2), Australia (1–2), USA (1–2), Taiwan (2–3), Iran (2–3) and Jordan (3–4). Several studies conducted in Ethiopia, Iran, and Nigeria reported on infectious waste using units other than kg/bed/day (e.g. kg/patient/day or kg/day) and are not shaded in the diagram. B: world map illustrating the geographic distribution of studies reporting on carbon emissions. World map illustrating the geographic distribution of studies reporting on carbon emissions. All countries reporting on carbon emissions are high-income, and include the UK (3 studies), South Korea, Japan and the USA

Fig. 3.

Fig. 3

Standardising reporting of environmental impact of infection control practices

The studies on carbon emissions provided valuable input on the environmental impact of various IPC measures. Notably, we found large savings in carbon emissions when switching to reusable isolation gowning and sharps disposal from single-use. Of note, transport distances may play a substantial role in overall carbon savings with reusable containers, having accounted for 67.1% of its life-cycle global warming potential. The vast reduction in CO2 emissions were made possible with “relatively short UK transport distances”, and may suggest attenuated environmental savings with different healthcare settings that are more geographically sparse. This finding underlines one of many differences that exist between countries and health systems, limiting the ability to extrapolate such data to a global context. Importantly, we noted that all six studies reporting on carbon emissions stemmed from high-income countries (Fig. 2B), highlighting yet another discrepancy in data across income brackets. High income countries remain the main drivers of greenhouse gas emissions, while lower income countries experience a disproportionate burden from the climate crisis [60]. Improvements in quantifying the environmental impact of IPCs could, and should, begin with institutions in high income countries where resources are ample, before being implemented in lower income countries where the need for proper infection control continues to grow. This is in line with the Sustainable Development Goals (SDGs) by the United Nations, SDG 13— “Climate Action” and SDG 17—“Partnerships For The Goals”, where collective action to tackle the global threat of climate change is paramount [61].

Fundamentally, any change from current IPC practices for an environmental benefit will need to retain efficacy and patient safety in order to justify the switch. Limited data exist which adequately address environmental costs of current versus alternative IPC practices and the climate benefits (or drawbacks) of each option, especially in terms of showing longitudinal safety outcomes. We had initially set out with the aim of categorising studies into the various types of precautions for ease of data organisation and presentation. However, we found that no studies had a pre-specified focus on a particular set of precautions, and papers had to be independently screened and manually categorised where possible. Future studies, focusing on singular aspects of infection control, be it a single method, or Infection Control bundles, are likely to be more useful. This is especially since focusing on a particular aspect over the full life-cycle, will allow for an easier calculation of the corresponding carbon emissions data from said practice. In our drive to be sustainable, identification of “carbon hotspots” is a necessary step to determine the highest impact practices to focus on. Various countries such as the UK [55], USA [62], China [63], and Australia [64], have broadly identified the supply chain (62%), overall hospital care (36%), and public hospitals (47% and 34%) as their biggest contributors to healthcare emissions respectively. Scaling it down to IPC-specific components, and using standardized metrics for measurements, would allow infection control specialists, policymakers and governmental organisations to focus efforts on IPC “hotspots” that contribute most heavily to greenhouse gas emissions.

We hope that our study will help to inform the type of future research needed in this field, and act as a precursor for future systematic reviews where specific elements of infection control are more comprehensively and systematically addressed. The sheer scale of IPC programs across hospitals of all sizes suggests the urgent need for dedicated studies. Studies comparing the impact of various aspects of in-hospital infection control practices, using the WHO breakdown of the 7 aspects of an IPC program would be a good first step, and includes components that are frequently overlooked, but of everyday importance. These components are outlined by the WHO Minimum Requirements for infection prevention and control programmes, and include hand hygiene, linen management, environmental cleaning, sterilization of medical devices, waste management, personal protective equipment (PPE) and air management [17]. We summarise these components in Fig. 3, and provide specific suggestions on environmental metrics that may be useful in quantifying environmental impact based-off each IPC measure.

Our study had some important limitations. First, the cross-sectional nature of most included studies inherently carry limitations when attempting to establish causality, and associations should be interpreted with caution. Second, we had to make manual calculations in an effort to standardise units and allow comparison. However, we were careful to make these calculations only if sufficient data was made available by the original article, and assumptions, if any, were clearly stated, as in the case of time conversions made (e.g. months to days). Third, besides life-cycle assessment studies, other articles, especially those on waste production, did not provide sufficient granularity when assessing the environmental impact of each stage of a product’s lifecycle (e.g. production vs transport vs disposal). Identification of IPC-specific activities in some articles also proved challenging. Nonetheless, we acknowledge that the field of IPC sustainability appears relatively nascent, with no scoping reviews performed to date, which led us to adopt a broad criteria for inclusion so long as useful environmental metrics were presented. Fourth, we would have liked to assess for trends across time, but were limited by substantial inter-study heterogeneity in waste and data collection methodology, along with variations in healthcare setting. It would have been difficult to pin-point any conclusions drawn on variations in waste solely to the effect of time. We had also planned to compare the environmental impact across different healthcare settings, such as hospital-based care vs primary care. Unfortunately, most of the studies reported solely on hospital-generated waste, with an insufficient number of articles available for inter-setting comparisons to be made. Finally, we were unable to expand on all forms of environmental metrics included in our scoping review, notably on concentration of VOCs emitted. Given the broad scope of the topic, we decided to focus our discussion on the more ubiquitous metrics reported in healthcare settings globally. Nevertheless, these metrics represent important markers of environmental impact, and will be better characterized once more relevant studies are performed.

In conclusion, our scoping review found only 30 articles attempting to quantify the environmental impact of IPC measures, with most reporting on mass of waste generated. The few studies reporting on carbon emissions were all conducted in high-income countries, highlighting a marked discrepancy in studies being performed across countries of varying incomes. Overall, the quality and scope of the available evidence on IPC appears relatively limited considering its importance, warranting an urgent need to invest in IPC environmental impact research to strengthen the evidence base that must be considered in order to move toward a more sustainable IPC agenda. The largest survey on IPC in healthcare facilities covering 81 countries was concluded in 2022, and reflected the WHO’s resolution to rapidly understand the interplay between IPC preparedness and pathogen transmission on a global scale [65]. The utility of IPC programs will gradually increase as lower-income countries continue to refine healthcare standards to meet minimum requirements. To achieve sustainability moving forward, collective action from every rung of the ladder needs to be initiated in addressing the environmental implications that infection control practices will likely precipitate in our natural environment.

Supplementary Information

Supplementary Material 1 (42.4KB, docx)

Acknowledgements

Not applicable

Abbreviations

IPC

Infection prevention and control

CO2eq

Carbon dioxide equivalents

PPE

Personal protective equipment

WHO

World Health Organisation

NHS

National Healthcare System

UN

United Nations

Author contributions

All authors were involved in the initial planning of the study. OL, WYC, AW, and RRL worked on the study design and methodology, search strategy, and screening of articles. OL, WYC, and AW collected, analysed and interpreted data, and drafted the tables and figures. OL and WYC drafted the manuscript. RRL, HCC, SCQ, SW, and JW performed critical revisions of the manuscript for intellectually important content. All authors provided critical conceptual input, interpreted the data analysis, read, and approved the final draft. SW and JS have accessed and verified the data. SW and JS were responsible for the decision to submit the manuscript.

Funding

Not applicable.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

RRL acknowledges research support from the Clinician Scientist Development Unit, Yong Loo Lin School of Medicine, National University of Singapore. JS received an honorarium from Sanofi-Aventis Singapore Pte. Ltd.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Material 1 (42.4KB, docx)

Data Availability Statement

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.


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