Vancomycin AUC-Dosing Initiative at a Regional Antibiotic Stewardship Collaborative.

Background Antibiotic stewardship programs (ASPs) are multidisciplinary teams that optimize anti-infective use across health systems. The Veterans Health Administration mandates all facilities to implement ASPs and requires the development of ASP collaboratives in its regional Veterans Integrated Service Networks (VISNs). Observations The Veterans Affairs Sunshine Healthcare Network (VISN 8) serves > 1.5 million veterans across Florida, South Georgia, Puerto Rico, and the US Virgin Islands. Established in 2015, the VISN 8 ASP workgroup, serves as a model for ASP VISN collaboratives and includes ASP champions from each Veterans Affairs medical center within VISN 8 and meets monthly to review formulary issues, ongoing initiatives, antimicrobial use metrics, and other related topics. The VISN collaborative structure facilitates multisite quality initiatives, such as the implementation of area under the curve (AUC)-guided vancomycin dosing across 4 health care systems within VISN 8. AUC-guided dosing led to decreased rates of acute kidney injury compared with trough-based dosing (2.4% vs 10.4%) and the quality assurance evaluation identified best practices that could be disseminated across the VISN. Conclusions The VISN 8 ASP workgroup exemplifies how ASP champions can work together to solve common issues, complete tasks more efficiently, and impact large veteran populations. ASP collaboratives can leverage their collective size to complete robust multisite quality assurance evaluations. Expansion of the ASP collaborative model further highlights the Veterans Health Administration as a nationwide leader in ASP best practices.

• Publication year

  2024

• Venue

  Federal practitioner : for the health care professionals of the VA, DoD, and PHS

• Publication date

  2024-10-01

• Fields of study

  Medicine

• Identifiers
  DOI 10.12788/fp.0520PMID 39839270PMCID PMC11745369
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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