Antibiotic Outbreak, Risk Factors for Never Event, Prediction of Inappropriate Use
A Retrospective Study to Understand the Risk Factors/Drivers of "Inappropriate" Antimicrobial Use and the Performance Evaluation of a Clinical Decision Support Tool That Facilitates Prediction of Outbreaks of Inappropriate Antibiotic Use
1 other identifier
observational
2,000
1 country
1
Brief Summary
In order to decrease inappropriate antibiotic use, drivers of inappropriate use must be identified locally. This study will focus on the MOST inappropriate use, which are defined as 'never events'. Previous work has shown that antibiotic use clusters over time. It is hypothesized that never events also cluster over time. Using electronic data capture strategies, an algorithm will be developed to quickly and accurately identify areas of antibiotic use concern. Secondly, a framework will be developed, utilizing antimicrobial consumption data and captured signals of inappropriate antimicrobial use to provide targets for antimicrobial stewardship efforts.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2014
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2014
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 1, 2017
CompletedFirst Submitted
Initial submission to the registry
March 18, 2018
CompletedFirst Posted
Study publicly available on registry
April 5, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
December 29, 2020
CompletedMarch 16, 2021
March 1, 2021
3.8 years
March 18, 2018
March 15, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
appropriateness of vancomycin use
classified as 1) never event, 2) potentially inappropriate, 3) not inappropriate
Proposed 36 month study period
Secondary Outcomes (1)
outbreaks of never events
Proposed 36 month study period
Study Arms (3)
Northwestern Memorial Hospital data
Inpatient intravenous vancomycin use
Henry Ford Hospital data
Inpatient intravenous vancomycin use
University of Michigan Hospital data
Inpatient intravenous vancomycin use
Eligibility Criteria
The retrospective study population will be based on all inpatient intravenous vancomycin used during the proposed 36-month study period. Patient level data that identifies adults unable to consent, individuals who are not yet adults, pregnant women, or prisoners will not be collected.
You may qualify if:
- receipt of inpatient intravenous vancomycin during proposed study period
- adults 18 years of age or older and less than 90 years of age
You may not qualify if:
- individuals who are not yet adults (infants, children, teenagers)
- pregnant women
- prisoners
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Midwestern Universitylead
- Northwestern Memorial Hospitalcollaborator
- University of Michigancollaborator
- Henry Ford Hospitalcollaborator
- Wayne State Universitycollaborator
Study Sites (1)
Midwestern University
Downers Grove, Illinois, 60515, United States
Related Publications (13)
Scheetz MH, Crew PE, Miglis C, Gilbert EM, Sutton SH, O'Donnell JN, Postelnick M, Zembower T, Rhodes NJ. Investigating the Extremes of Antibiotic Use with an Epidemiologic Framework. Antimicrob Agents Chemother. 2016 May 23;60(6):3265-9. doi: 10.1128/AAC.00572-16. Print 2016 Jun.
PMID: 27001807BACKGROUNDP.R. Yarnold, R.C. Soltysik, Refining two-group multivariable classification models using univariate optimal discriminant analysis., Decision Sciences, 22 (1991) 1158-1164.
BACKGROUNDP.R. Yarnold, R.C. Soltysik, Maximizing Predictive Accuracy, ODA Books2016.
BACKGROUNDRhodes NJ, O'Donnell JN, Lizza BD, McLaughlin MM, Esterly JS, Scheetz MH. Tree-Based Models for Predicting Mortality in Gram-Negative Bacteremia: Avoid Putting the CART before the Horse. Antimicrob Agents Chemother. 2015 Nov 23;60(2):838-44. doi: 10.1128/AAC.01564-15. Print 2016 Feb.
PMID: 26596934BACKGROUNDCusini A, Rampini SK, Bansal V, Ledergerber B, Kuster SP, Ruef C, Weber R. Different patterns of inappropriate antimicrobial use in surgical and medical units at a tertiary care hospital in Switzerland: a prevalence survey. PLoS One. 2010 Nov 16;5(11):e14011. doi: 10.1371/journal.pone.0014011.
PMID: 21103362BACKGROUNDGlowacki RC, Schwartz DN, Itokazu GS, Wisniewski MF, Kieszkowski P, Weinstein RA. Antibiotic combinations with redundant antimicrobial spectra: clinical epidemiology and pilot intervention of computer-assisted surveillance. Clin Infect Dis. 2003 Jul 1;37(1):59-64. doi: 10.1086/376623. Epub 2003 Jun 23.
PMID: 12830409BACKGROUNDHecker MT, Aron DC, Patel NP, Lehmann MK, Donskey CJ. Unnecessary use of antimicrobials in hospitalized patients: current patterns of misuse with an emphasis on the antianaerobic spectrum of activity. Arch Intern Med. 2003 Apr 28;163(8):972-8. doi: 10.1001/archinte.163.8.972.
PMID: 12719208BACKGROUNDFleming-Dutra KE, Hersh AL, Shapiro DJ, Bartoces M, Enns EA, File TM Jr, Finkelstein JA, Gerber JS, Hyun DY, Linder JA, Lynfield R, Margolis DJ, May LS, Merenstein D, Metlay JP, Newland JG, Piccirillo JF, Roberts RM, Sanchez GV, Suda KJ, Thomas A, Woo TM, Zetts RM, Hicks LA. Prevalence of Inappropriate Antibiotic Prescriptions Among US Ambulatory Care Visits, 2010-2011. JAMA. 2016 May 3;315(17):1864-73. doi: 10.1001/jama.2016.4151.
PMID: 27139059BACKGROUNDKelesidis T, Braykov N, Uslan DZ, Morgan DJ, Gandra S, Johannsson B, Schweizer ML, Weisenberg SA, Young H, Cantey J, Perencevich E, Septimus E, Srinivasan A, Laxminarayan R. Indications and Types of Antibiotic Agents Used in 6 Acute Care Hospitals, 2009-2010: A Pragmatic Retrospective Observational Study. Infect Control Hosp Epidemiol. 2016 Jan;37(1):70-9. doi: 10.1017/ice.2015.226. Epub 2015 Oct 12.
PMID: 26456803BACKGROUNDMagill SS, Edwards JR, Beldavs ZG, Dumyati G, Janelle SJ, Kainer MA, Lynfield R, Nadle J, Neuhauser MM, Ray SM, Richards K, Rodriguez R, Thompson DL, Fridkin SK; Emerging Infections Program Healthcare-Associated Infections and Antimicrobial Use Prevalence Survey Team. Prevalence of antimicrobial use in US acute care hospitals, May-September 2011. JAMA. 2014 Oct 8;312(14):1438-46. doi: 10.1001/jama.2014.12923.
PMID: 25291579BACKGROUNDBaggs J, Fridkin SK, Pollack LA, Srinivasan A, Jernigan JA. Estimating National Trends in Inpatient Antibiotic Use Among US Hospitals From 2006 to 2012. JAMA Intern Med. 2016 Nov 1;176(11):1639-1648. doi: 10.1001/jamainternmed.2016.5651.
PMID: 27653796BACKGROUNDRhodes NJ, Wagner JL, Gilbert EM, Crew PE, Davis SL, Scheetz MH. Days of Therapy and Antimicrobial Days: Similarities and Differences Between Consumption Metrics. Infect Control Hosp Epidemiol. 2016 Aug;37(8):971-973. doi: 10.1017/ice.2016.109. Epub 2016 May 13.
PMID: 27174570BACKGROUNDThe World Health Organization. Health Topics: Disease Outbreaks, 2015.
BACKGROUND
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Marc H Scheetz, PharmD, MSc
Midwestern University
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 18, 2018
First Posted
April 5, 2018
Study Start
January 1, 2014
Primary Completion
October 1, 2017
Study Completion
December 29, 2020
Last Updated
March 16, 2021
Record last verified: 2021-03
Data Sharing
- IPD Sharing
- Will not share
All files containing patient identifiers will be de-identified before sharing across study sites.