JOURNAL ARTICLE

Healthcare Sustainability to Address Climate Change: Call for Action to the Infectious Diseases Community.

  • Published In: Journal of the Pediatric Infectious Diseases Society, 2024, v. 13, n. 6. P. 306 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Doshi, Shreya; Vuppula, Sharon; Jaggi, Preeti 3 of 3

Abstract

This article focuses on the role of infectious diseases (ID) professionals in advancing healthcare sustainability to reduce the US healthcare system's disproportionate contribution to greenhouse gas emissions (GHGe) and climate change. Healthcare sustainability is defined as efforts to decrease GHGe, waste, and pollutants generated during healthcare delivery, with parallels drawn to established antimicrobial stewardship and infection prevention programs. The article proposes strategies for ID societies and practitioners, including integrating climate change education into training, expanding research and funding opportunities, forming formal sustainability committees, and advocating for system-wide changes to reduce emissions. It highlights the "WE ACT" framework—addressing Waste, Energy and water, Agricultural/food cycle and anesthetic gas, Chemicals and pharmaceuticals, and Transportation—as key domains for sustainable healthcare delivery. The article also emphasizes the potential for cost savings, improved public health outcomes, and enhanced recruitment in ID through leadership in sustainability efforts.

Additional Information

  • Source:Journal of the Pediatric Infectious Diseases Society. 2024/06, Vol. 13, Issue 6, p306
  • Document Type:Article
  • Subject Area:Consumer Health
  • Publication Date:2024
  • ISSN:2048-7193
  • DOI:10.1093/jpids/piae029
  • Accession Number:178158381
  • Copyright Statement:Copyright of Journal of the Pediatric Infectious Diseases Society is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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