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. 2022 Feb 2;51(2):afab275. doi: 10.1093/ageing/afab275

Calculating the carbon footprint of a Geriatric Medicine clinic before and after COVID-19

Sarah Bartlett 1,, Sarah Keir 2
PMCID: PMC8903350  PMID: 35134839

Abstract

Background

climate change is a health emergency. Central to addressing this is understanding the carbon footprint of our daily life and work, in order to reduce it effectively. The coronavirus disease of 2019 (COVID-19) pandemic has brought about rapid change to clinical practice, most notably in use of virtual clinics and personal protective equipment (PPE).

Aim

to estimate the carbon footprint of a Geriatric Medicine clinic, including the effect of virtual consultation and PPE, in order to inform design of a service that addresses both the health of our patients and our environment.

Method

data from the Greenhouse Gas Protocol, NHS Carbon Footprint Plus and UK Government were used to estimate the carbon emissions per consultation. Values were calculated for virtual and face-to-face contact and applied to actual clinics both before and during the COVID-19 pandemic.

Results

the carbon footprint of a face-to-face clinic consultation is 4.82 kgCO2e, most of which is patient travel, followed by staff travel and use of PPE. The footprint of a virtual consultation is 0.99 kgCO2e, most of which is staff travel, followed by data use.

Using our hybrid model for a single session clinic reduced our annual carbon footprint by an estimated 200 kgCO2e, roughly equivalent to a surgical operation.

Discussion

the COVID-19 pandemic has made us deliver services differently. The environmental benefits seen of moving to a partially virtual clinic highlight the importance of thinking beyond reverting to ‘business as usual’—instead deliberately retaining changes, which benefit the current and future health of our community.

Keywords: carbon, emissions, telemedicine, clinic, COVID-19, older people

Key Points

  • Virtual clinics reduce carbon footprint.

  • Carbon emissions contribute to climate change and population health.

  • We have a duty of care to reduce our carbon footprint.

  • PPE has a carbon footprint.

  • COVID-19 changes to carbon footprint of Geriatric Outpatients

Introduction

Of the UK’s annual 450 million tonnes of carbon dioxide equivalent emissions (CO2e; [1]), the NHS is responsible for 5% (25 million tonnes; [2]), 10% of which is patient travel [2]. Carbon emissions harm respiratory, cardiovascular and cerebrovascular health and contribute to climate change [3–6]. We must take responsibility for reducing our environmental impact [3].

In 2020, to mitigate the danger of coronavirus disease of 2019 (COVID-19), we changed our traditional outpatient model to a combination of face-to-face, video and telephone consultations.

A 2021 review found 14 studies (mostly pre-pandemic) demonstrating the carbon savings of telemedicine across different specialties [7].

A 2018 economic scoping study by NHS Midlands and Lancashire estimated that making 15% of hospital follow-ups virtual would save 53,000 kgCO2e/year by reducing transport use [8].

However, virtual consultation is not carbon neutral as energy is required for data storage and transfer [9]: teleconferencing is only carbon cost-effective if the patient journey is over 7.2 km (4.5 miles; [10]).

In contrast to earlier studies, personal protective equipment (PPE) is now used during all face-to-face encounters. This requires manufacture and disposal: during the first 6 months of the pandemic, PPE was responsible for 106,000 tonnes CO2e in England [11].

We have explored the carbon footprint of an outpatient clinic in our Geriatric Medicine department, before and after onset of the COVID-19 pandemic. To our knowledge, this is the first calculation of the carbon footprint of outpatient geriatric medicine, and is the first real world study analysing the effect of all COVID-19 related changes on the outpatient carbon footprint.

Method

We calculated the footprint of a single afternoon clinic for a 3-month period before COVID-19 and for a similar period once virtual consultation and PPE were established. We included patient travel, staff travel, PPE, water, waste, telecommunications and heating/lighting the clinic facilities. We have not included embedded carbon in pre-existing vehicles or computer hardware or emissions related to investigations requested or secretarial work—our assumption is that these remain unchanged regardless of COVID-19 adaptations.

The Greenhouse Gas Protocol divides carbon footprints into three ‘Scopes’ [12]. Scope 1 is direct emissions from the activity—e.g. release of anaesthetic gases. There are no Scope 1 emissions associated with outpatient work. Scope 2 emissions encompass the carbon footprint of national grid energy consumed and Scope 3 includes emissions generated in manufacture of materials used, waste management, commuting or goods transport. Consumer travel is not included in the Greenhouse Gas Protocol but is included in the vision for ‘Net Zero Plus’ by the NHS England Sustainability Development Unit [5, 12].

Patient travel

We have assumed that journeys were undertaken in average sized petrol cars with two occupants, as the likelihood of our patient group being too frail to walk or take the bus was high. We used Google Maps™ to calculate the mileage between home postcode and our clinic, and the Department for Environment, Food and Rural Affairs (DEFRA) published values for petrol emissions per mile [13].

Scope 2

Scope 2 emissions (national grid energy consumption) intrinsic to running the clinic were calculated assuming the following parameters: an average of four patients are seen by three members of staff (doctor, nurse and healthcare assistant) using space within the hospital equivalent to a small house (an office, nurses room, waiting room and two clinic rooms with corridors and a toilet). Two computers are required, and PPE is worn in post COVID-19 clinics. There is a television in the waiting room. Virtual consultations occur in the same clinic facilities, between face-to-face appointments. The nurse and healthcare assistant are not required and only one computer is necessary. Most virtual consultations were by landline telephone rather than internet video call. The annual household electricity consumption values published by The UK household Electricity Survey [14] were scaled to an equivalent value to obtain an estimate of electricity consumed per consultation.

Scope 3

Emissions from manufacture, transport and disposal of PPE were calculated using values published for PPE use in the UK by Rizan et al. [11]. Domestic waste and waste water disposal related emissions were calculated using data published by DEFRA [13]. DEFRA also publish the emissions generated from consumption of clean water [13]. Emissions from telecommunications have been calculated by Ong et al. [16]. We assumed a 4 mile car commute per staff member.

Results

Fewer patients were seen face-to-face following the implementation of social distancing measures. Appropriate PPE was used for those that were. Even including the carbon emission of this, the overall carbon footprint for the mixed consultation clinic was reduced from 72.1 to 55.34 kgCO2e driven primarily by reduced emissions from patient travel (Table 1).

Table 1.

Comparison of clinic-generated carbon emissions pre- and post-social distancing measures due to COVID-19

Before social distancing After social distancing
Total number patients in 3 months 48 39
Patients per month 16 13
Patients consulted over phone 0 7
Patients seen in person per month 16 6
Mean distance between residence and clinic (miles) 4.7 5.6
Carbon emissions from patient travel per month (kgCO2e) 42.37 24.3
Carbon emissions from clinic overheads (kgCO2e) 29.73 31.04
Total emissions per month (kgCO2e) 72.1 55.34
Emissions per consultation (kgCO2e) 4.51 4.26

Performing an hour-long consultation virtually created 0.994 kgCO2e per consultation compared to 4.824 kgCO2e for face-to-face (Table 2). A detailed breakdown of carbon emissions from a fully virtual model clinic (Table A) compared to a fully face-to-face clinic (Table B) can be found in supplementary data.

Table 2.

Comparison of clinic-generated carbon emissions for face-to-face and virtual consultation (kgCO2e)

Face-to-face Virtual
Energy use for rooms 0.065 0.065
Telecommunications 0.039 0.369
Personal protective equipment 0.152 0
Water use 0.008 0
Staff travel 1.68 0.56
Patient travel 2.88 0
Total emissions per consultation 4.824 0.994

Breakdown of emissions

Patient travel

The average UK petrol car emits 0.28 kgCO2e/mile [13], and our patients travelled an average of five miles to our clinic emitting 2.88 kgCO2e for a round trip. Around 54% of consultations were virtual post COVID-19, avoiding 251 miles travel (70.45 kgCO2e) over 3 months. This saving was offset by increased use of telemedicine and PPE, so the average emission per consultation during the pandemic was 0.25 kgCO2e less than pre-pandemic.

Scope 2

National Grid energy consumption emits 0.233 kgCO2e per kilowatt hour [13]. The energy consumption used running the clinic was 0.259 kgCO2e, equating to a value per consultation of 0.065 kgCO2e.

Scope 3

Personal Protective Equipment: one member of staff wears one type IIR surgical facemask per clinic (sessional use), and one pair of nitrile gloves with one plastic apron per patient. One apron emits 65 gCO2e, a facemask 20 gCO2e and a pair of gloves 52 gCO2e (11). Per consultation this equates to 0.15 kgCO2e, including disposal.

Water and Waste: one clinic generates 250-g domestic waste (paper towels), equal to 85 gCO2e [13]. One 20-s hand wash uses 1.75-l water. For four patients, hands should be washed four times plus at the beginning and end of the clinic: 31.5-l of water is required per clinic. Clean water consumption emits 0.34 kgCO2e/m3 and wastewater treatment 0.7 kgCO2e/m3 [13]. Per consultation this equates to 8 gCO2e.

Telecommunications

Telecommunications: a video call of adequate quality to hear and examine a patient requires a bandwidth of 5.5 megabits per second [15, 16] and emits 2.95 kgCO2e per hour [13]. Landline transmission energy data were not available but the energy required for the handset emits 0.7 gCO2e per hour.

Discussion

This small project relies on assumptions and extrapolations but provides an estimate of clinic-generated carbon emissions and a basis from which to develop carbon reduction strategies.

The carbon emissions of an outpatient consultation are small compared with that of an operation [17] or a flight [13] but over the course of a year the emissions add up. By moving to a hybrid model for our weekly clinic we have saved over 200 kgCO2e.

The biggest contributor to carbon emissions from an outpatient clinic is travel, followed by PPE use and then telecommunications. Water, lighting and heating contribute relatively little.

If clinics were 100% virtual, we would save several hundred kilograms of carbon equivalent emissions. However, there is a clinical need to see patients face-to-face and there would be consequences of failing to do so. Escalating illness and healthcare intervention in consequence of a delayed or missed diagnosis could have a greater carbon cost than timely intervention.

For those consultations that need to be face-to-face, changing mode of travel would have the greatest impact on emissions. Staff should be encouraged to use green forms of transport but patient travel is unlikely to be influenced by carbon concerns. Many attendees will be frail or disabled and will not manage public transport, walking or cycling. Emissions would be reduced using electric vehicles for patient transport, in line with the NHS Sustainable Development Unit vision [5].

Using hand washing alone instead of gloves could reduce PPE emissions by 45% [8]. An hour video call is comparable to a 10 mile journey in a car. A lower bandwidth uses less carbon, but the definition needs to be clear enough to have a meaningful interaction Using telephone for follow-up appointments, unless repeat examination is needed, may be a better option.

Finally, although climate initiatives benefit patient satisfaction and cost-effectiveness [18], it can be hard for clinicians to engage in climate concern when they are already under pressure from conflicting interests and demands. Nevertheless, we believe that promoting successful small interventions can inspire hope and motivation in staff who might otherwise perceive it as a problem beyond their capacity.

Supplementary Material

aa-21-1314-File002_afab275

Contributor Information

Sarah Bartlett, Department of Medicine for the Elderly, Western General Hospital, NHS Lothian, Edinburgh EH4 2XU, UK.

Sarah Keir, Department of Medicine for the Elderly, Western General Hospital, NHS Lothian, Edinburgh EH4 2XU, UK.

Declaration of Conflicts of Interest

None.

Declaration of Sources of Funding

None.

References

  • 1. Tennison  I, Roschnik  S, Ashby  B  et al.  Health care's response to climate change: a carbon footprint assessment of the NHS in England. Lancet Planetary Health  2021; 5: e84–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Waite  C. Final UK greenhouse gas emissions national statistics 1990-2019. Department for Business, Energy and Industry Strategy  2021. Available at:  https://www.gov.uk/government/collections/final-uk-greenhouse-gas-emissions-national-statistics (3 May 2021, date last accessed).
  • 3. Watts  N, Adger  WN, Agnolucci  P  et al.  Health and climate change: policy responses to protect public health. Lancet  2015; 386: 1861–914. [DOI] [PubMed] [Google Scholar]
  • 4. Cohen  A, Brauer  M, Burnett  R  et al.  Estimates and 25 year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the global burden of diseases study 2015. Lancet  2017; 38910082: 1907–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Stevens  S.  Delivering a Net Zero National Health Service Sustainable Development Unit . 2020. (March 2021, date last accessed).
  • 6. Peters  R, Ee  N, Peters  J, Booth  A, Mudway  I, Anstey  K. Air pollution and dementia: a systematic review. J Alzhiemers Dis  2019; 70: S145–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Purohit  A, Smith  J, Hibble  A. Does telemedicine reduce the carbon footprint of healthcare? A systematic review. Future Healthc J  2021; 8: e85–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. The Strategy Unit. The potential economic impact of virtual outpatient appointments in the west midlands: a scoping study. NHS Midlands and Lancashire Commissioning Support Unit, 2018. https://www.strategyunitwm.nhs.uk/sites/default/files/2018-11/180813_Economic%20Impact%20of%20OP%20Appointments%20for%20WM%20CCGs_FINAL.pdf (14 October 2021, date last accessed). [Google Scholar]
  • 9. Jones  N. How to stop data centres from gobbling up the world’s electricity. Nature  2018; 561: 163–6. [DOI] [PubMed] [Google Scholar]
  • 10. Holmner  A, Ebi  KL, Lazuardi  L, Nilsson  M. Carbon footprint of telemedicine solutions–unexplored opportunity for reducing carbon emissions in the health sector. PLoS One  2014; 9: e105040. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Rizan  C, Reed  M, Bhutta  M. Environmental impact of personal protective equipment supplied to health and social care services in England in the first six months of the COVID-19 pandemic. J R Soc Med  2021; 114: 250–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. World Business Council for Sustainable Development, World Resources Institute . The Greenhouse Gas Protocol: A Corporate Accounting and Reporting Standard (revised edition). 2015. Available at: www.ghgprotocol.org.
  • 13. DEFRA . Guidelines to DEFRA/DECC’s GHG Conversion Factors for Company Reporting. 2011. https://www.gov.uk/government/publications/greenhouse-gas-reporting-conversion-factors-2020 (March 2021, date last accessed).
  • 14. Zimmermann  JP, Evans  M, Griggs  J  et al.  R66141 final report issue 4 household electricity survey a study of domestic electrical product usage. Intertek Testing & Certification Ltd., 2012; 213–4. DEFRA.gov. (March 2021, date last accessed). [Google Scholar]
  • 15. Faber  G. A framework to estimate emissions from virtual conferences. Int J Environ Stud  2021; 78: 608–23. [Google Scholar]
  • 16. Ong  D, Moors  T, Sivaraman  V. Comparison of the energy, carbon and time costs of videoconferencing and in person meetings. Comp Commun  2014; 50: 86–94. [Google Scholar]
  • 17. MacNeill  AJ, Lillywhite  R, Brown  CJ. The impact of surgery on global climate: a carbon footprinting study of operating theatres in three healthcare systems. The Lancet Planetary Health  2017; 9: e381–8. [DOI] [PubMed] [Google Scholar]
  • 18. Murphy  RP, Dennehy  KA, Costello  MM  et al.  Virtual geriatric clinics and the COVID-19 catalyst: a rapid review. Age Ageing  2020; 49: 907–14. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

aa-21-1314-File002_afab275

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