Evidence map›Paper›PMID 42389491›Full record

ArticleThe journal of climate change and health

Development of a methodology for carbon efficiency in a healthcare system.

Brandon X Lum, Rebecca Y Lee, Clarence T Peck, Ricky Wiryopranoto, Eugene H Liu

Abstract readCase Reports
In one paragraph

Article in The journal of climate change and health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Brandon X LumOffice of Sustainability, National University Health System, NUHS Tower Block, 1E Kent Ridge Road, Singapore 119228, Singapore.
Rebecca Y LeeOffice of Sustainability, National University Health System, NUHS Tower Block, 1E Kent Ridge Road, Singapore 119228, Singapore.
Clarence T PeckCorporate Finance Office, National University Health System, NUHS Tower Block, 1E Kent Ridge Road, Singapore 119228, Singapore.
Ricky WiryopranotoCorporate Finance Office, National University Health System, NUHS Tower Block, 1E Kent Ridge Road, Singapore 119228, Singapore.
Eugene H LiuDepartment of Anaesthesia, National University Hospital, NUH Main Building, Level 3, 5 Lower Kent Ridge Road, 119074, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Healthcare systems worldwide contribute significantly to global carbon emissions whilst facing increasing workloads from ageing populations. This creates a challenge of delivering more care while reducing environmental impact. This paper describes the development of a methodology to measure carbon efficiency in healthcare by relating carbon footprint to workload across different care settings. Case presentation: The National University Health System (NUHS) in Singapore developed a workload unit (WLU) methodology to quantify carbon efficiency. Carbon footprints per unit of care were calculated across six care settings, establishing carbon relativity ratios. A polyclinic appointment was assigned one WLU, whilst an acute hospital inpatient day equated to 14.7 WLU based on relative carbon intensity. Total system workload was summated using WLUs, enabling calculation of carbon efficiency as kg CO Discussion: The methodology revealed improving carbon efficiency despite increasing absolute emissions from 2020-2023. Carbon per WLU decreased from 16.85 to 16.17 kg CO Conclusion: This methodology enables healthcare systems to monitor environmental sustainability progress while accounting for workload changes, supporting data-driven decarbonization efforts and benchmarking between institutions delivering different care portfolios.

Indexed as

Carbon efficiencyHealthcare sustainabilityWorkload unit methodology

Identifiers

PMID42389491
PMCPMC13319387

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.