# Development of an Educational Video in Support of Vet-LIRN Antimicrobial Stewardship Efforts

> **NIH FDA U18** · UNIVERSITY OF PENNSYLVANIA · 2021 · $9,679

## Abstract

Antimicrobial drugs are critical to the practice of medicine whether the patients are
humans or animals. Annually, these drugs save millions of lives, but the rapid rise of
antimicrobial resistance threatens their utility. In veterinary medicine, there has been a
recent focus to improve and refine the use of these critical drugs through the
development antimicrobial stewardship efforts. Previous work from our group supported
by the Veterinary Laboratory Investigation and Response (Vet-LIRN) has led to the
development of three educational tools (standardized cases, validated rubrics and a
metacognitive mnemonic framework) designed to improve students’ abilities to select
appropriate antimicrobial agents. The aim of this project is to create two educational
videos for wider distribution of these antibiotic stewardship tools. We will utilize an
expert video production group at the University of Pennsylvania to develop these videos
using their standard process. The videos will be important for the dissemination to and
accurate implementation of these tools into veterinary curricula. When complete, the
videos will be made available through Vet-LIRN and through the University of
Pennsylvania’s Veterinary School Website.

## Key facts

- **NIH application ID:** 10443262
- **Project number:** 1U18FD007496-01
- **Recipient organization:** UNIVERSITY OF PENNSYLVANIA
- **Principal Investigator:** Stephen Douglas Cole
- **Activity code:** U18 (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2021
- **Award amount:** $9,679
- **Award type:** 1
- **Project period:** 2021-09-06 → 2023-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10443262

## Citation

> US National Institutes of Health, RePORTER application 10443262, Development of an Educational Video in Support of Vet-LIRN Antimicrobial Stewardship Efforts (1U18FD007496-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10443262. Licensed CC0.

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