Evidence map›Paper›PMID 39774638›Full record

ArticleJAMA dermatology2025

Carbon Footprint Analysis of an Outpatient Dermatology Practice at an Academic Medical Center.

Genevieve S Silva, Alex Waegel, Joshua Kepner, Greg Evans, William Braham, Misha Rosenbach

Abstract read
In one paragraph

Article in JAMA dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Genevieve S SilvaDepartment of Dermatology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
Alex WaegelWeitzman School of Design at the University of Pennsylvania, Philadelphia.
Joshua KepnerHospital of the University of Pennsylvania, Philadelphia.
Greg EvansHospital of the University of Pennsylvania, Philadelphia.
William BrahamWeitzman School of Design at the University of Pennsylvania, Philadelphia.
Misha RosenbachDepartment of Dermatology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: There is growing awareness of the US health sector's substantial contribution to the country's greenhouse gas (GHG) emissions, exacerbating the health threats from climate change. Reducing health care's environmental impact requires understanding its carbon emissions, but there are few published audits of health systems and fewer comprehensive emissions analyses at the clinic or department level. Objective: To quantify the annual GHG emissions from a large outpatient dermatology practice, compare relative sources of emissions, and identify actionable targets. Design and Setting: This quality improvement study involving a comprehensive carbon footprint analysis (scopes 1-3) of a large (nearly 30 000 visits/y), outpatient medical dermatology practice within the University of Pennsylvania's academic medical complex was conducted following the GHG Protocol Corporate and Corporate Value Chain reporting standards for fiscal year 2022 (ie, July 2021 through June 2022). Data were obtained through energy metering, manual audits, electronic medical records, and administrative data. Exposure: Data were converted into metric tons of carbon dioxide equivalent (tCO2e), allowing comparison of global-warming potential of emitted GHGs. Main Outcomes and Measures: Primary outcomes were tCO2e by scope 1 (direct emissions), scope 2 (indirect, purchased energy), and scope 3 (indirect, upstream/downstream sources), as well as by individual categories of emission sources within each scope. Results: Scope 3 contributed most to the clinic's carbon footprint, composing 165.5 tCO2e (51.1%), followed by scope 2 (149.9 tCO2e [46.3%]), and scope 1 (8.2 tCO2e [2.5%]). Within scope 3, the greatest contributor was overall purchased goods and services (120.3 tCO2e [72.7% of scope 3]), followed by patient travel to and from the clinic (14.2 tCO2e [8.6%]) and waste (13.1 tCO2e [7.9%]). Steam and chilled water were the largest contributors to scope 2. Clinic energy use intensity was 185.4 kBtu/sqft. Conclusions and Relevance: In this quality improvement study, the composition of emissions at the clinic level reflects the importance of scope 3, paralleling the health sector overall. The lower-resource intensity of the clinic compared to the average energy requirements of the total clinical complex led to a relatively large contribution from scope 2. These findings support efforts to characterize high-yield emissions-reduction targets and allow for identification of actionable, clinic-level steps that may inform broader health system efforts.

Indexed as

Academic Medical CentersCarbon FootprintDermatologyGreenhouse GasesClimate ChangeHumansPennsylvaniaQuality ImprovementGreenhouse Gases

Identifiers

PMID39774638
PMCPMC11840641

What OpenQuestion holds

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Registered trials

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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.