NCT03489330

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

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
2,000

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jan 2014

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
completed

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

Completed
3.8 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 1, 2017

Completed
6 months until next milestone

First Submitted

Initial submission to the registry

March 18, 2018

Completed
18 days until next milestone

First Posted

Study publicly available on registry

April 5, 2018

Completed
2.7 years until next milestone

Study Completion

Last participant's last visit for all outcomes

December 29, 2020

Completed
Last Updated

March 16, 2021

Status Verified

March 1, 2021

Enrollment Period

3.8 years

First QC Date

March 18, 2018

Last Update Submit

March 15, 2021

Conditions

Keywords

Anti-Bacterial Agents/therapeutic useDrug Utilization/statistics & numerical dataHospitals/statistics & numerical dataData Analysis, StatisticalInterpretation, Statistical DataAntibiotic StewardshipElectronic Medical Record

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

Age18 Years - 90 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-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.

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

Study Sites (1)

Midwestern University

Downers Grove, Illinois, 60515, United States

Location

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: 27001807BACKGROUND
  • P.R. Yarnold, R.C. Soltysik, Refining two-group multivariable classification models using univariate optimal discriminant analysis., Decision Sciences, 22 (1991) 1158-1164.

    BACKGROUND
  • P.R. Yarnold, R.C. Soltysik, Maximizing Predictive Accuracy, ODA Books2016.

    BACKGROUND
  • 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.

    PMID: 26596934BACKGROUND
  • 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.

    PMID: 21103362BACKGROUND
  • 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.

    PMID: 12830409BACKGROUND
  • 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.

    PMID: 12719208BACKGROUND
  • 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.

    PMID: 27139059BACKGROUND
  • 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.

    PMID: 26456803BACKGROUND
  • 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.

    PMID: 25291579BACKGROUND
  • 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.

    PMID: 27653796BACKGROUND
  • 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.

    PMID: 27174570BACKGROUND
  • The World Health Organization. Health Topics: Disease Outbreaks, 2015.

    BACKGROUND

Related Links

MeSH Terms

Conditions

Communicable Diseases

Condition Hierarchy (Ancestors)

InfectionsDisease AttributesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Marc H Scheetz, PharmD, MSc

    Midwestern University

    PRINCIPAL INVESTIGATOR

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.

Locations