Evidence map›Paper›PMID 40834200›Full record

ArticleThe American journal of managed care2025

Impact of telemedicine use on outpatient-related CO2 emissions: estimate from a national cohort.

Benjo Delarmente, Artem Romanov, Manying Cui, Chi-Hong Tseng, Melody Craff, Dale Skinner, Michael Hadfield, Catherine A Sarkisian, Cheryl L Damberg, A Mark Fendrick and 1 more

Abstract read
In one paragraph

Article in The American journal of managed care, 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. Article
  2. Article
  3. Article
  4. 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

11 authors.

Benjo Delarmente
Artem Romanov
Manying Cui
Chi-Hong Tseng
Melody Craff
Dale Skinner
Michael Hadfield
Catherine A Sarkisian
Cheryl L Damberg
A Mark Fendrick *
John N Mafi *Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, UCLA, 1100 Glendon Ave #908, Los Angeles, CA 90024. Email: jmafi@mednet.ucla.edu.

Funding

Leveraging Electronic Health Records to Measure and Reduce Harmful, Low-Value Care Among Older AdultsK76AG064392 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MAFI, JOHN · 2020 to 2024
$1.2M
NIA NIH HHS K76 AG064392
6 · The paper itself

Abstract

objectiveThe US health care system contributes to approximately 9% of domestic US greenhouse gas emissions, exacerbating climate change and threatening human health. By substituting for in-person visits, telemedicine may represent a means of emission avoidance. STUDY

designLeveraging multipayer claims data, we developed models based on various assumptions to estimate ranges of emissions from travel averted by telemedicine utilization between April 1, 2023, and June 30, 2023.

methodsWe estimated the carbon dioxide (CO2) emissions averted from the avoidance of travel by patients using telemedicine as a substitute for their usual source of in-person care at post-public health emergency rates through a modeling analysis of nationwide multipayer claims data representing 19% of US insured adults; findings were extrapolated to the entire US insured adult population.

resultsWe quantified a monthly average of 1,481,530 US telemedicine visits (65,733 rural) during the study period. Between 740,765 and 1,348,192 of these were estimated to have substituted for in-person visits. Using inputs of 2021 electric vehicle (EV) production share and emissions per mile, we estimated that between 4,075,065 and 7,489,486 kg of CO2 are averted due to telemedicine use each month. Estimates accounting for different assumptions including EV and public transportation use produce a range of 4 million (most conservative) to 8.9 million (least conservative) kg of CO2 averted per month. Extrapolating to the entire US adult population, we estimate that monthly emissions averted range from 21.4 to 47.6 million kg of CO2-roughly equivalent to the monthly emissions of 61,255 to 130,076 gasoline-powered passenger vehicles.

conclusionOur results suggest that telemedicine use at 2023 rates modestly decreases the carbon footprint of US health care delivery.

Indexed as

Carbon DioxideGreenhouse GasesTelemedicineAdultHumansOutpatientsTravelUnited StatesCarbon DioxideGreenhouse Gases

Identifiers

PMID40834200
PMCPMC13075377

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.