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Calculating the carbon footprint of a Geriatric Medicine clinic before and after COVID-19.
Bartlett, Sarah; Keir, Sarah.
  • Bartlett S; Department of Medicine for the Elderly, Western General Hospital, NHS Lothian, Edinburgh EH4 2XU, UK.
  • Keir S; Department of Medicine for the Elderly, Western General Hospital, NHS Lothian, Edinburgh EH4 2XU, UK.
Age Ageing ; 51(2)2022 02 02.
Article in English | MEDLINE | ID: covidwho-1672125
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Prognostic study / Qualitative research Limits: Aged / Humans Language: English Year: 2022 Document Type: Article Affiliation country: Ageing

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Prognostic study / Qualitative research Limits: Aged / Humans Language: English Year: 2022 Document Type: Article Affiliation country: Ageing