The Duke-UNC Prevention Epicenter Program
CDC Prevention Epicenters Program - 1U54CK000164
PI: Deverick Anderson
7/1/2016-6/30/2020
The Duke-UNC Prevention Epicenters Program Core projects will include a broad portfolio of research projects related to healthcare epidemiology, antimicrobial stewardship, infection prevention, and environmental disinfection. In addition, we will complete a series of collaborative projects with other institutions in the CDC Prevention Epicenters Program.
Epicenter projects in which the Center is the lead institution and other institutions are collaborators
- Duke Core Projects
A series of six projects covering research on the microbiome, antimicrobial therapy, and environmental disinfection.
Project 1: Novel Strategies for Prescriber Feedback
Project 2: Antimicrobial Therapy and the Cutaneous Microbiota
Project 3: A laboratory-based study to determine the effectiveness of disinfectants against human papilloma virus (HPV) contamination
Project 4: Comparing Methods for Microbiologic Environmental Sampling
Project 5: PIlot study to determine the effectiveness of novel continuous disinfection strategies
Project 6: A prospective study to determine if the use of bleach for daily cleaning of patients with asymptomatic C.difficile colonization reduces C.difficile bioburden
Collaborating Institution - University of North Carolina at Chapel Hill
- Duke Large Collaborative
De-escalating Empiric Treatment: Opting-OUt of Rx for Selected Patients with Suspected Sepsis (DETOURS). Develop and implement an opt-out protocol to guide de-escalation of antibiotic therapy among qualifying non-ICU, acute care patients with suspected sepsis.
Collaborating Institutions – University of Pennsylvania, Washington University in St. Louis
- Duke Medium Collaborative
Determine the effect of antibiotic perioperative prophylaxis on the cutaneous microbiome and metabolomics
Collaborating Institutions - Harvard University, Washington University in St. Louis
- Duke Small Collaborative
Determine the association between ertapenem perioperative prophylaxis and post-operative C.difficile infections, other drug-resistant infections, and worse global outcomes in patients undergoing colon surgery.
Collaborating Institutions - University of Pennsylvania, Chicago Prevention Epicenter
Epicenter projects in which other institutions are the lead site and the Center is a collaborator
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Chicago Small Collaborative
Chlorohexidine gluconate bathing evaluation and comparison project (CHECkuP). -
Harvard Large Collaborative
CLUSTER Trial for Outbreak Detection and Response. Pilot study and subsequent trial of a statistical outbreak detection system to reduce the size and duration of clusters in hospital settings. -
Harvard Small Collaborative
Multicenter evaluation and comparison of sepsis definitions. -
University of Pennsylvania Small Collaborative
A Qualitative Study to Identify Meaningful Communication Strategies for Delivering Antimicrobial Stewardship Recommendations and Decisions in U.S. Hospitals. -
Washington University Large Collaborative
Predictors of Recurrent Multidrug-Resistant Urinary Tract Infection and Impact of Fecal Microbiota Transplant (FMT) on Recurrence. Prospective cohort study of the epidemiology of multidrug-resistant UTIs and the development and implementation of new strategies to prevent and treat these infections. -
Washington University Small Collaborative
Patterns of Utilization and Effect of Post-Operative Antibiotics in Common Surgeries. Retrospective cohort study to quantify the utilization of pre- and post- discharge oral antimicrobial therapy in persons undergoing mastectomy and spinal fusion.
More about the Duke-UNC Prevention Epicenters Program
Prevention of Surgical Site Infection Using Statistical Process Control Charts
AHRQ - R01 HS023821-01A1
PI: Deverick Anderson
9/1/2015-6/30/2020
The goal of this large research project is to develop and implement advanced statistical process control methods to identify surgical site infections (SSI). We will then perform a cluster-randomized trial to determine if feedback using these methods can decrease the rate of SSI.
Improving Antibiotic Use Through Implementation and Evaluation of Core Elements of Hospital Antibiotic Stewardship Programs
CDC SHEPheRD - RFTOP2016-002
PI: Deverick Anderson
Project PI: Libby Dodds-Ashley
10/1/2016-9/30/2019
The goal of this project is to improve antimicrobial stewardship capabilities at 10 community hospitals by following the CDC’s Core Elements and measure the impact on antimicrobial utilization and program performance.
Feasibility of Core Stewardship Interventions in Community Hospitals
NIAID/NIH - UM1AI104681
PI: Vance Fowler
Project PI: Deverick Anderson
4/1/2013-3/31/2018
This project involves a multicenter, 3-stage cluster randomized historically-controlled crossover trial to determine the feasibility and outcomes from two antimicrobial stewardship interventions in community hospitals. This study is designed to determine if common, evidence-based stewardship interventions are feasible in small, community hospitals. This study is a sub-study within the Antibiotic Resistance Leadership Group (ARLG), which oversees a large portfolio of projects aimed to prevent, diagnose, and treat infections due to multidrug-resistant organisms. Dr. Anderson is PI of the sub-study but not the overall ARLG grant.
Defining Measures of Impact for Antimicrobial Stewardship Programs in Community Hospitals
AHRQ - K08 HS023866-01
PI: Rebekah Moehring
4/1/2015-3/31/2020
The goal of this project is to determine optimal measures of impact on patient outcomes and processes to optimize antimicrobial stewardship programs in community hospitals.
Predictors of Antimicrobial Exposure for Application in the Standardized Antimicrobial Ratio Risk Adjustment Strategy
CDC BAA
PI: Rebekah Moehring
1/2/2018-12/31/2018
The goal of this project is to investigate ways to improve the SAAR's ability to compare facilities as well as identfiy antimicrobial stewardship strategies for hospitals.
Stochastic Agent-Based Models of Human and Animal Infection Control
CDC MInD Healthcare Program
PI: Daniel Sexton
8/1/2017-7/31/2020
The goal of this project is to build a comprehensive model of infectious disease transmission using healthcare, veterinary, and community-based data.