Impact of Remote Cardiac Monitoring on Greenhouse Gas Emissions: Global Cardiovascular Carbon Footprint Project.

carbon footprint cardiac implantable electronic devices global warming greenhouse gas emissions remote monitoring

Journal

JACC. Advances
ISSN: 2772-963X
Titre abrégé: JACC Adv
Pays: United States
ID NLM: 9918419284106676

Informations de publication

Date de publication:
May 2023
Historique:
received: 17 02 2023
accepted: 18 02 2023
medline: 3 3 2023
pubmed: 3 3 2023
entrez: 28 6 2024
Statut: epublish

Résumé

Remote monitoring (RM) of patients with cardiac implantable electronic devices (CIEDs) is efficient and requires fewer resources than conventional monitoring. However, the impact of RM on the carbon footprint (CF) is not known. The authors sought to evaluate the reduction in cost and greenhouse gas (GHG) emissions with RM as compared to conventional monitoring of CIEDs and its relevance to CF. Data were obtained from a third-party RM provider on 32,811 patients from 67 device clinics across the United States. Distance from home address to the device clinic for patients on RM was calculated. Savings in total distance traveled over 2 years was calculated using frequency of follow-up required for the device type. National fuel efficiency data and carbon emission data were obtained from the Bureau of Transportation Statistics and U.S. Environmental Protective Agency, respectively. The average gas price during the study period was obtained from U.S. Energy Information Administration. In the study population, RM resulted in a total saving of 31.7 million travel miles at $3.45 million and reduction of 12,518 metric ton of GHG from gasoline. There was a reduction of 14.2-million-page printouts, $3 million in cost, and 78 tons of GHG. Improvement in workforce efficiency with RM resulted in savings of $3.7 million. There was a net saving of $10.15 million and 12,596 tons of GHG emissions. RM of patients with a CIED resulted in significant reductions in GHG emissions. Efforts to actively promoting RM can result in significant reduction in CF.

Sections du résumé

Background UNASSIGNED
Remote monitoring (RM) of patients with cardiac implantable electronic devices (CIEDs) is efficient and requires fewer resources than conventional monitoring. However, the impact of RM on the carbon footprint (CF) is not known.
Objectives UNASSIGNED
The authors sought to evaluate the reduction in cost and greenhouse gas (GHG) emissions with RM as compared to conventional monitoring of CIEDs and its relevance to CF.
Methods UNASSIGNED
Data were obtained from a third-party RM provider on 32,811 patients from 67 device clinics across the United States. Distance from home address to the device clinic for patients on RM was calculated. Savings in total distance traveled over 2 years was calculated using frequency of follow-up required for the device type. National fuel efficiency data and carbon emission data were obtained from the Bureau of Transportation Statistics and U.S. Environmental Protective Agency, respectively. The average gas price during the study period was obtained from U.S. Energy Information Administration.
Results UNASSIGNED
In the study population, RM resulted in a total saving of 31.7 million travel miles at $3.45 million and reduction of 12,518 metric ton of GHG from gasoline. There was a reduction of 14.2-million-page printouts, $3 million in cost, and 78 tons of GHG. Improvement in workforce efficiency with RM resulted in savings of $3.7 million. There was a net saving of $10.15 million and 12,596 tons of GHG emissions.
Conclusions UNASSIGNED
RM of patients with a CIED resulted in significant reductions in GHG emissions. Efforts to actively promoting RM can result in significant reduction in CF.

Identifiants

pubmed: 38939591
doi: 10.1016/j.jacadv.2023.100286
pii: S2772-963X(23)00041-8
pmc: PMC11198686
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100286

Informations de copyright

© 2023 The Authors.

Déclaration de conflit d'intérêts

Drs Bansal and Olsen are shareholders in Octagos Health. All other authors have reported that they have no relationships relevant to the contents of this article to disclose.PERSPECTIVESCOMPETENCY IN SYSTEMS-BASED PRACTICE: The Global Cardiovascular Carbon Footprint Project is a grassroots group created to recognize the cardiovascular service industry’s environmental impact on greenhouse gas emissions and CF. As climate change is a collective challenge faced by humanity, the study aimed to assess the impact of RM of cardiac implantable electronic devices on global greenhouse gas emissions. TRANSLATIONAL OUTLOOK: RM is cost-effective and convenient, but it is also shown to have improved safety and patient satisfaction. The authors hope adapting and promoting RM of patients with a cardiac implantable electronic device can result in significant reductions in CF. A combined initiative among the medical subspecialties and medical industry is warranted to reduce the CF to confront the current climate change.

Auteurs

Danish Bawa (D)

Kansas City Heart Rhythm Institute, Overland Park, Kansas, USA.

Adnan Ahmed (A)

Kansas City Heart Rhythm Institute, Overland Park, Kansas, USA.

Douglas Darden (D)

Kansas City Heart Rhythm Institute, Overland Park, Kansas, USA.

Rajesh Kabra (R)

Kansas City Heart Rhythm Institute, Overland Park, Kansas, USA.

Jalaj Garg (J)

Division of Cardiology, Cardiac Arrhythmia Service, Loma Linda University Health, Loma Linda, California, USA.

Shanti Bansal (S)

Houston Heart Rhythm and Octagos Health, Houston, Texas, USA.

Eric Olsen (E)

Houston Heart Rhythm and Octagos Health, Houston, Texas, USA.

Donita Atkins (D)

Kansas City Heart Rhythm Institute, Overland Park, Kansas, USA.

Anam Rahim (A)

Division of School of Nursing, University of Texas Medical Branch, Galveston, Texas, USA.

Nicholas Pham (N)

Kansas City Heart Rhythm Institute, Overland Park, Kansas, USA.

Rakesh Gopinathannair (R)

Kansas City Heart Rhythm Institute, Overland Park, Kansas, USA.

Naga Venkata K Pothineni (NVK)

Kansas City Heart Rhythm Institute, Overland Park, Kansas, USA.

Peter Park (P)

Kansas City Heart Rhythm Institute, Overland Park, Kansas, USA.

Rangarao Tummala (R)

Kansas City Heart Rhythm Institute, Overland Park, Kansas, USA.

Scott Koerber (S)

Kansas City Heart Rhythm Institute, Overland Park, Kansas, USA.

Andrea Natale (A)

Texas Cardiac Arrhythmia Institute, Austin, Texas, USA.

Dhanunjaya Lakkireddy (D)

Kansas City Heart Rhythm Institute, Overland Park, Kansas, USA.

Classifications MeSH