- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03489330
Antibiotic Outbreak, Risk Factors for Never Event, Prediction of Inappropriate Use
March 15, 2021 updated by: Midwestern University
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
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.
Study Overview
Status
Completed
Conditions
Detailed Description
Appropriateness in antimicrobial prescribing has become a focal national and international issue.
It has been estimated that upwards of 50% of antibiotic use is inappropriate.
With this backdrop, a national strategic goal has been set by the United States White House to decrease inappropriate antibiotic use by 20% and 50%, respectively for inpatient and outpatient settings.
In order to decrease inappropriate use, drivers of incorrect use must be identified at each local setting.
The actual drivers of confirmed inappropriate use have been difficult to identify except when using time and resource intense chart reviews.
Even the largest contemporary antibiotic consumption studies have not assessed appropriateness as it was 'outside of study scope'.
Further, there is no consensus or agreement on what constitutes inappropriate use.
These apparent omissions underscore the difficulty and complexity in attributing appropriateness of use for antimicrobials.
Importantly, 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.
Study Type
Observational
Enrollment (Anticipated)
2000
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Illinois
-
Downers Grove, Illinois, United States, 60515
- Midwestern University
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years to 90 years (ADULT, OLDER_ADULT)
Accepts Healthy Volunteers
Yes
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
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.
Description
Inclusion Criteria:
- receipt of inpatient intravenous vancomycin during proposed study period
- adults 18 years of age or older and less than 90 years of age
Exclusion Criteria:
- individuals who are not yet adults (infants, children, teenagers)
- pregnant women
- prisoners
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
---|
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
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
appropriateness of vancomycin use
Time Frame: Proposed 36 month study period
|
classified as 1) never event, 2) potentially inappropriate, 3) not inappropriate
|
Proposed 36 month study period
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
outbreaks of never events
Time Frame: Proposed 36 month study period
|
predictive interval thresholds that identify high proportion of never events
|
Proposed 36 month study period
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Principal Investigator: Marc H Scheetz, PharmD, MSc, Midwestern University
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Fleming-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.
- 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.
- P.R. Yarnold, R.C. Soltysik, Refining two-group multivariable classification models using univariate optimal discriminant analysis., Decision Sciences, 22 (1991) 1158-1164.
- P.R. Yarnold, R.C. Soltysik, Maximizing Predictive Accuracy, ODA Books2016.
- Rhodes 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.
- Cusini 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.
- Glowacki 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.
- Hecker 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.
- Kelesidis 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.
- Magill 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.
- Baggs 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.
- Rhodes 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.
- The World Health Organization. Health Topics: Disease Outbreaks, 2015.
Helpful Links
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (ACTUAL)
January 1, 2014
Primary Completion (ACTUAL)
October 1, 2017
Study Completion (ACTUAL)
December 29, 2020
Study Registration Dates
First Submitted
March 18, 2018
First Submitted That Met QC Criteria
April 3, 2018
First Posted (ACTUAL)
April 5, 2018
Study Record Updates
Last Update Posted (ACTUAL)
March 16, 2021
Last Update Submitted That Met QC Criteria
March 15, 2021
Last Verified
March 1, 2021
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- MWU3004_STU00205629
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
IPD Plan Description
All files containing patient identifiers will be de-identified before sharing across study sites.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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