Evidence map›Paper›PMID 40163116›Full record

ArticleJAMA network open2025

Carbon Emissions From Patient Travel for Health Care.

Hanna Zurl, Zhiyu Qian, Daniel R Stelzl, Filippo Dagnino, Stephan M Korn, Muhieddine Labban, Stuart R Lipsitz, Marianne Leitsmann, Sascha Ahyai, Chad Ellimoottil and 4 more

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Estimated Travel-Related COHealthcare (Basel, Switzerland) · 2026
    Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Geographic variability in contemporary utilization of PET imaging for prostate cancer: a medicare claims cohort study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
  9. Article
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

14 authors.

Hanna ZurlDepartment of Urology, Medical University of Graz, Graz, Austria.
Zhiyu QianDepartment of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Daniel R StelzlDepartment of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Filippo DagninoDepartment of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Stephan M KornDepartment of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Muhieddine LabbanDepartment of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Stuart R LipsitzCenter for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Marianne LeitsmannDepartment of Urology, Medical University of Graz, Graz, Austria.
Sascha AhyaiDepartment of Urology, Medical University of Graz, Graz, Austria.
Chad EllimoottilDepartment of Urology, University of Michigan, Ann Arbor.
Stacy LoebDepartment of Urology and Population Health, New York University Langone Health, New York.
Hari S IyerSection of Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute, New Brunswick, New Jersey.
Quoc-Dien TrinhDepartment of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Alexander P ColeDepartment of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The US health care sector accounts for about 8.5% of national greenhouse gas (GHG) emissions. Reliable estimates of emissions associated with health care-related travel are essential for informing policy changes. Objective: To generate a comprehensive national estimate of carbon emissions due to patient health care-related travel in the US. Design, Setting, and Participants: This cross-sectional study used data from the 2022 National Household Travel Survey (NHTS), conducted from January 2022 to January 2023. Participants were selected using an address-based sample from the US Postal Service Delivery Sequence File. Participating households reported all trips taken within 24 hours by all household members aged 5 years or older. Approximate emissions per mile were obtained from typical vehicle emissions data provided by US government institutions. Data were analyzed between March 11 and May 29, 2024. Main Outcomes and Measures: Estimated annual CO2 equivalent (CO2e) emissions from patient health care-related travel per year, per patient, per trip, and per mile. A survey-weighted λ regression analysis was used to identify factors associated with higher CO2e emissions per trip. An alternative scenario analysis estimated reductions if 30% or 50% of private vehicle users switched to electric vehicles. Results: The sample included 16 997 participants with a weighted total of 3 506 325 536 US health care trips. Of these trips, 52.0% were reported by female travelers, 80.1% were made in urban areas, and 19.9% were made in rural areas. These trips accounted for 84 057 963 340 miles, resulting in weighted annual estimated emissions of 35.7 megatons (Mt) (95% CI, 27.5-43.9 Mt) CO2e. Each mile traveled generated an estimated 424 g (95% CI, 418-428 g) CO2e. Emissions per trip were higher (exponentiated coefficient [exp(β)], 2.19; 95% CI, 1.51-2.86; P < .001) for rural patients compared with urban patients. However, 69.3% of emissions were attributable to urban patients and 30.7% to rural patients. Patients with annual median household incomes of $50 000 to $99 999 generated higher trip emissions (exp[β], 1.92; 95% CI, 1.09-2.76; P = .003) compared with those with incomes of $25 000 or less. A 30% shift to electric vehicles was estimated to reduce health care-related carbon emissions to 27.6 Mt (95% CI, 20.7-34.6 Mt) CO2e, and a 50% shift was estimated to lower emissions to 22.3 Mt (95% CI, 16.0-28.6 Mt) CO2e. Conclusions and Relevance: This cross-sectional study estimated that annual patient health care-related travel in the US generated 35.7 Mt CO2e, which accounts for a small but important proportion of total health care-related emissions in the US. These findings are essential for informing health care policy decisions and suggest that strategies such as telehealth and the adoption of electric vehicles may contribute to a small but significant reduction in health care-related GHG emissions.

Indexed as

Greenhouse GasesMedical TourismTravelVehicle EmissionsAdolescentAdultAgedChildChild, PreschoolCross-Sectional StudiesFemaleHumansMaleMiddle AgedUnited StatesYoung AdultGreenhouse GasesVehicle Emissions

Identifiers

PMID40163116
PMCPMC11959441

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.