- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04011657
Effective Antimicrobial StewaRdship StrategIES (ARIES) (ARIES)
Effective Antimicrobial StewaRdship StrategIES (ARIES): Cluster-randomized Trial of a Computerized Decision Support System Versus Antibiotic Prospective Review and Feedback in Antimicrobial Stewardship
Background Prospective review and feedback (PRF) of antibiotic prescriptions is a labor-intensive core strategy of antimicrobial stewardship (AMS). The investigators hypothesized that a computerized decision support system (CDSS) providing recommendations for antibiotics, investigations and referrals would reduce the requirement for PRF without causing harm.
Methods A parallel-group, 1:1 block-cluster randomized, cross-over study was conducted in 32 medical and surgical wards from March to August 2017. The intervention arm comprised voluntary use of CDSS at first prescription of piperacillin-tazobactam or a carbapenem, while the control arm was compulsory CDSS. PRF was continued for both arms. Primary outcome was 30-day mortality.
Study Overview
Detailed Description
Increasing antimicrobial resistance due to inappropriate antimicrobial use is a global concern. Multi-disciplinary antimicrobial stewardship teams have become an integral part of the response to this issue. Through prospective review of antibiotic prescriptions and feedback (PRF) to healthcare providers, antimicrobial stewardship has been shown to improve clinical response, reduce adverse effects and mortality. However, this strategy is labor-intensive to implement and skilled healthcare workers are an expensive and scarce resource. Antibiotic computerized decision support systems (CDSS) have been used to facilitate these processes and may circumvent the limitations of lack of manpower. In previous studies, CDSS led to increased susceptibility of Pseudomonas aeruginosa to imipenem and Enterobacteriaceae to gentamicin and ciprofloxacin, and an overall reduction in broad-spectrum antibiotic use. CDSS could improve clinical outcomes. Currently, there are limited studies comparing the combined effects of these two strategies.
At Tan Tock Seng Hospital, a university teaching hospital in Singapore, antimicrobial stewardship has focused on PRF by a multi-disciplinary team since 2009. This team reviews piperacillin-tazobactam and carbapenem orders against hospital antibiotic guidelines from day two of antibiotic prescription. In March 2010, we implemented CDSS triggered at the point of antibiotic ordering and compulsory for the prescriber to review. Prescribers are free to accept or reject the CDSS recommendations. While PRF and CDSS are performed following the same institutional guidelines, there may be differences in physicians' acceptance of recommendations and the accessibility to recommendations between these two interventions. In previous studies, PRF recommendations had an acceptance of 60-70% while compulsory CDSS was 40%. The investigators hypothesized that compulsory CDSS and PRF would improve clinical outcomes compared with voluntary CDSS and PRF, and compulsory CDSS would improve appropriate antibiotic practice and reduce the requirement for subsequent PRF.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Singapore, Singapore, 308433
- Tan Tock Seng Hospital
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Patients who are started on the 1st episode of piperacillin-tazobactam or carbapenem during the study period.
- Medical and surgical wards
Exclusion Criteria:
- Intensive care unit (ICU), high dependency and step-down care wards
Study Plan
How is the study designed?
Design Details
- Primary Purpose: HEALTH_SERVICES_RESEARCH
- Allocation: RANDOMIZED
- Interventional Model: CROSSOVER
- Masking: NONE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
EXPERIMENTAL: Voluntary CDSS
Voluntary use of computerized decision support with prospective review and feedback
|
Compulsory CDSS use with prospective review feedback in patients prescribed with piperacillin tazobactam or carbapenems
|
|
NO_INTERVENTION: Compulsory CDSS
Compulsory use of computerized decision support with prospective review and feedback
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
30-day mortality
Time Frame: Follow-up up to 30 days from the start date of the first episode of piperacillin-tazobactam or carbapenem use
|
Death at 30 days
|
Follow-up up to 30 days from the start date of the first episode of piperacillin-tazobactam or carbapenem use
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
7-day clinical response
Time Frame: Follow-up up to 7 days from the date of the first episode of piperacillin-tazobactam or carbapenem use
|
resolution of systemic inflammatory response syndrome
|
Follow-up up to 7 days from the date of the first episode of piperacillin-tazobactam or carbapenem use
|
|
30-day re-infection
Time Frame: Re-start of piperacilin-tazobactam or carbapenem 30 days after the cessation of first episode of piperacillin-tazobactam or carbapenem use
|
Re-start of piperacilin-tazobactam or carbapenem 30 days after the cessation of first episode of piperacillin-tazobactam or carbapenem use
|
Re-start of piperacilin-tazobactam or carbapenem 30 days after the cessation of first episode of piperacillin-tazobactam or carbapenem use
|
|
30-day readmission
Time Frame: Readmissions 30 days after the cessation of first episode of piperacillin-tazobactam or carbapenem use
|
Readmission after the cessation of first episode of piperacillin-tazobactam or carbapenem use
|
Readmissions 30 days after the cessation of first episode of piperacillin-tazobactam or carbapenem use
|
|
length of stay
Time Frame: It is assessed from the date of admission till the date of discharge or up to 6 months
|
Duration of admission
|
It is assessed from the date of admission till the date of discharge or up to 6 months
|
|
6-months incidence of multi-drug resistant organisms
Time Frame: up to 6 months (Clinical cultures only)
|
MRSA, VRE, ESBL, MDR-A.
baumannii, XDR- A baumannii, MDR- P. aeruginosa, XDR-P aeruginosa, C difficile , Carbapenem resistant enterobacterales
|
up to 6 months (Clinical cultures only)
|
|
Diarrhea this admission
Time Frame: From the start date from the first episode of piperacillin-tazobactam or carbapenem use until the discharge date or up to 6 months whichever occurred earlier
|
Incidence of diarrhea from start of first episode of piperacillin-tazobactam or carbapenem use till discharge
|
From the start date from the first episode of piperacillin-tazobactam or carbapenem use until the discharge date or up to 6 months whichever occurred earlier
|
|
Appropriateness of antibiotics
Time Frame: It is assessed only once at the point of the first episode of piperacillin-tazobactam or carbapenem use in the index admission. It is only assessed once till discharge or up to 6 months
|
first episode of piperacillin-tazobactam or carbapenem use according to hospital guidelines.
Appropriateness will be described as "yes" or "no".
|
It is assessed only once at the point of the first episode of piperacillin-tazobactam or carbapenem use in the index admission. It is only assessed once till discharge or up to 6 months
|
|
Index antibiotic days of therapy,
Time Frame: From the start date of the first episode of piperacillin-tazobactam or carbapenem use to the end date of this antibiotic which is followed up till discharge or up to 6 months.
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Duration of the first episode of piperacillin-tazobactam or carbapenem use
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From the start date of the first episode of piperacillin-tazobactam or carbapenem use to the end date of this antibiotic which is followed up till discharge or up to 6 months.
|
|
Gross hospitalization costs
Time Frame: Gross hospitalization costs incured from date of admission till date of discharge or up to 6 months
|
Gross hospitalization costs
|
Gross hospitalization costs incured from date of admission till date of discharge or up to 6 months
|
Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
- Davey P, Marwick CA, Scott CL, Charani E, McNeil K, Brown E, Gould IM, Ramsay CR, Michie S. Interventions to improve antibiotic prescribing practices for hospital inpatients. Cochrane Database Syst Rev. 2017 Feb 9;2(2):CD003543. doi: 10.1002/14651858.CD003543.pub4.
- Barlam TF, Cosgrove SE, Abbo LM, MacDougall C, Schuetz AN, Septimus EJ, Srinivasan A, Dellit TH, Falck-Ytter YT, Fishman NO, Hamilton CW, Jenkins TC, Lipsett PA, Malani PN, May LS, Moran GJ, Neuhauser MM, Newland JG, Ohl CA, Samore MH, Seo SK, Trivedi KK. Implementing an Antibiotic Stewardship Program: Guidelines by the Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America. Clin Infect Dis. 2016 May 15;62(10):e51-77. doi: 10.1093/cid/ciw118. Epub 2016 Apr 13.
- Lew KY, Ng TM, Tan M, Tan SH, Lew EL, Ling LM, Ang B, Lye D, Teng CB. Safety and clinical outcomes of carbapenem de-escalation as part of an antimicrobial stewardship programme in an ESBL-endemic setting. J Antimicrob Chemother. 2015 Apr;70(4):1219-25. doi: 10.1093/jac/dku479. Epub 2014 Dec 3.
- Schuts EC, Hulscher MEJL, Mouton JW, Verduin CM, Stuart JWTC, Overdiek HWPM, van der Linden PD, Natsch S, Hertogh CMPM, Wolfs TFW, Schouten JA, Kullberg BJ, Prins JM. Current evidence on hospital antimicrobial stewardship objectives: a systematic review and meta-analysis. Lancet Infect Dis. 2016 Jul;16(7):847-856. doi: 10.1016/S1473-3099(16)00065-7. Epub 2016 Mar 3. Erratum In: Lancet Infect Dis. 2016 Jul;16(7):768.
- Yong MK, Buising KL, Cheng AC, Thursky KA. Improved susceptibility of Gram-negative bacteria in an intensive care unit following implementation of a computerized antibiotic decision support system. J Antimicrob Chemother. 2010 May;65(5):1062-9. doi: 10.1093/jac/dkq058. Epub 2010 Mar 9.
- Thursky K. Use of computerized decision support systems to improve antibiotic prescribing. Expert Rev Anti Infect Ther. 2006 Jun;4(3):491-507. doi: 10.1586/14787210.4.3.491.
- Leibovici L, Kariv G, Paul M. Long-term survival in patients included in a randomized controlled trial of TREAT, a decision support system for antibiotic treatment. J Antimicrob Chemother. 2013 Nov;68(11):2664-6. doi: 10.1093/jac/dkt222. Epub 2013 Jun 5.
- Chow AL, Lye DC, Arah OA. Mortality Benefits of Antibiotic Computerised Decision Support System: Modifying Effects of Age. Sci Rep. 2015 Nov 30;5:17346. doi: 10.1038/srep17346.
Study record dates
Study Major Dates
Study Start (ACTUAL)
Primary Completion (ACTUAL)
Study Completion (ACTUAL)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (ACTUAL)
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2015/00671
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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