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Review
. 2024 Dec;132(12):126002.
doi: 10.1289/EHP14754. Epub 2024 Dec 27.

The Carbon Footprint of Hospital Services and Care Pathways: A State-of-the-Science Review

Affiliations
Review

The Carbon Footprint of Hospital Services and Care Pathways: A State-of-the-Science Review

Lisanne H J A Kouwenberg et al. Environ Health Perspect. 2024 Dec.

Abstract

Background: Climate change is the 21st century's biggest global health threat, endangering health care systems worldwide. Health care systems, and hospital care in particular, are also major contributors to greenhouse gas emissions.

Objectives: This study used a systematic search and screening process to review the carbon footprint of hospital services and care pathways, exploring key contributing factors and outlining the rationale for chosen services and care pathways in the studies.

Methods: This state-of-the-science review searched the MEDLINE (Ovid), Embase (Ovid), CINAHL (EBSCOhost), GreenFILE (EBSCOhost), Web of Science, Scopus, and the HealthcareLCA databases for literature published between 1 January 2000 and 1 January 2024. Gray literature was considered up to 1 January 2024. Inclusion criteria comprised original research reporting on the carbon footprint of hospital services or care pathways. Quality of evidence was assessed according to the guidelines for critical review of product life cycle assessment (LCA). PROSPERO registration number: CRD42023398527.

Results: Of 5,415 records, 76 studies were included, encompassing 151 hospital services and care pathways across multiple medical specialties. Reported carbon footprints varied widely, from 0.01kg carbon dioxide (CO2) equivalents (kgCO2e) for an hour of intravenously administered anesthesia to 10,200 kgCO2e for a year of hemodialysis treatment. Travel, facilities, and consumables were key contributors to carbon footprints, whereas waste disposal had a smaller contribution. Relative importance of carbon hotspots differed per service, pathway, medical specialty, and setting. Studies employed diverse methodologies, including different LCA techniques, functional units, and system boundaries. A quarter of the studies lacked sufficient quality.

Discussion: Hospital services and care pathways have a large climate impact. Quantifying the carbon footprint and identifying hotspots enables targeted and prioritized mitigation efforts. Even for similar services, the carbon footprint varies considerably between settings, underscoring the necessity of localized studies. The emerging field of health care sustainability research faces substantial methodological heterogeneity, compromising the validity and reproducibility of study results. This review informs future carbon footprint studies by highlighting understudied areas in hospital care and providing guidance for selecting specific services and pathways. https://doi.org/10.1289/EHP14754.

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Figures

Figure 1 depicts a flowchart with three steps: Identification, Screening, and Indicated. Step One: Identification: Identification of research using databases and registrations (1 January 2024): There are 9,799 records identified from databases, including Medline 1,990 records, Embase 2,002 records, CINAHL 1,181 entries, GreenFile 402 records, Web of Science 2,011 records, and Scopus 2,213 records. 4,144 duplicate records were deleted prior to screening. 240 items were eliminated for additional reasons, including a year less than 2000. Identification of research using different methodologies (1 January 2024): Records were identified from 6 Healthcare LCA database records, 12 organizational records, and 1 citation search record. Step 2: Screening: 5,415 records are reviewed, with 5,317 records excluded. There are 98 reports requested for retrieval, 3 of which are not obtained. There are now 95 reports assessed for eligibility, excluding 33 reports, including 4 reports of conference abstracts, 4 reports with no carbon footprint reported, 16 reports with only one element, such as travel or anesthetic gases, 2 reports with only differential carbon savings, 2 reports with the incorrect unit of analysis, 1 report with no data per contributing factor, 1 report of review, and 3 other reports. Identification of research using different methodologies: 19 reports are being sought for retrieval. There are now 19 studies being considered for eligibility, removing two reports with no hospital care pathway, two reports that solely report on avoiding carbon emissions, and one report with no data supplied per contributing component. Step 3: After assessing the reports for eligibility, 62 studies were included in the review, with 14 reports included in the studies.
Figure 1.
PRISMA Flow diagram. Note: CINAHL, Cumulative Index to Nursing and Allied Health Literature; PRISMA, Preferred Reporting Items for Systematic reviews and Meta-Analyses.
Figure 2A is a rose plot titled Nephrology. There are 16 services/pathways studied within Nephrology. The plot displays the following data: Factor included and ranked as the first or second largest contributor includes patient travel, staff travel, facilities, medical equipment, medical consumables, and waste disposal. Factor included, but not in the top 2 largest contributors include pharmaceuticals. Figure 2B is a rose plot titled Ophthalmology. There are 11 services/pathways studied within Ophthalmology. The plot displays the following data: Factor included and ranked as the first or second largest contributor includes patient travel, staff travel, facilities, medical equipment, medical consumables, and pharmaceuticals. Factor included, but not in the top 2 largest contributors includes waste disposal. Figure 2C is a rose plot titled Pathology. There are 12 services/pathways studied within Pathology. Factor included and ranked as first or second largest contributor includes medical equipment, medical consumables, and waste disposal. Factors including patient travel, staff travel, facilities, and pharmaceuticals were not included. Figure 2D is a rose plot titled Radiology. There are 10 services/pathways studied within Radiology. The plot displays the following data: Factor included and ranked as the first or second largest contributor includes facilities, medical equipment, medical consumables, and waste disposal. Factor included, but not in the top 2 largest contributors include staff travel and pharmaceuticals. Patient travel was not included. Figure 2E is a rose plot titled Surgery. There are 18 services/pathways studied within surgery. The plot displays the following data: Factor included and ranked as the first or second largest contributor and Factor included, but not in the top 2 largest contributors, includes patient travel, staff travel, facilities, medical equipment, medical consumables, pharmaceuticals, and waste disposal. Figure 2F is a rose plot titled Outpatient consultations. There are 19 services/pathways studied within outpatient consultations. The plot displays the following data: Factor included and ranked as the first or second largest contributor includes patient travel, staff travel, facilities, and medical equipment. Factor included, but not in top 2 largest contributors, includes waste disposal. Pharmaceuticals were not included.
Figure 2.
(A–F) Share of hospital services and care pathways that included specific contributors of the carbon footprint, presented for six different medical specialties. Medical specialties were graphically depicted if >9 individual services or pathways were studied among all sources identified. Data used for these graphs can be found in Table 4. The end of each black line indicates 100% of services/pathways represented in the figure. This figure should be interpreted with caution, given that it reflects only services/pathways that have currently been studied within these specialties and is likely not fully representative of these medical specialties as a whole. An empty area does not indicate that contributors had zero impact but only shows that it was not included for evaluation in the services/pathways studied within these specialties (i.e., missing data). Given that the chart represents individual services/pathways and not studies themselves, this figure also risks overvaluing those studies that included multiple services/pathways.

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