Evaluation of a Clinical Decision Support System for Fungal Infections

NCT05656157 | Completed

• 1 other identifier: CRC_GHN_2022_001
• Study Type: observational
• Target: 278
• Locations: 1 country
• Sites: 1

Brief Summary

Invasive fungal infections are serious and frequent diseases in our hospitals, especially in intensive care units. In accordance with the institutional recommendations, it is necessary to have a clinical decision support system to support the clinicians in a rapid and optimal prescription of antifungals for invasive fungal diseases. This clinical decision support system will benefit patients but also clinicians who will gain in medical efficiency. It will also have an ethical dimension since it will guarantee optimal antifungal treatments for all patients. The purpose of the research is to define the percentage of concordance between the medical prescription and the recommendation of the clinical decision support system.

Conditions

Invasive Fungal Infections

Keywords

invasive fungal infections; antifungal treatment; clinical decision support system

Outcome Measures

Primary Outcomes (1)

• Percentage of concordance between the medical prescription and the recommendation of the clinical decision support system

  January to september 2023

Study Arms (2)

Antifungal treatment prescribed by the clinician for an invasive fungal disease

Antifungal treatment recommended by the clinical decision support system

Device: Medical device

Interventions

Medical device DEVICE

Clinical decision support system

Antifungal treatment recommended by the clinical decision support system

Eligibility Criteria

• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

Patients receiving antifungal therapy for the treatment of invasive fungal disease

You may qualify if:

• Patients receiving antifungal therapy for the treatment of invasive fungal disease

You may not qualify if:

• Patients not receiving antifungal therapy for the treatment of invasive fungal disease

Sponsors & Collaborators

• Hospices Civils de Lyon: lead

Study Sites (1)

Hospices Civils de Lyon

Lyon, France

Location

Related Publications (3)

• Bienvenu AL, Pradat P, Guerin C, Aubrun F, Fellahi JL, Friggeri A, Guichon C, Hernu R, Menotti J, Monard C, Paulus S, Rimmele T, Piriou V, Chidiac C, Argaud L, Leboucher G. Evaluation of first-line therapies for the treatment of candidemia in ICU patients: A propensity score analysis. Int J Infect Dis. 2020 Apr;93:15-21. doi: 10.1016/j.ijid.2020.01.037. Epub 2020 Jan 23.

  PMID: 31982622 BACKGROUND

• Bienvenu AL, Pavese P, Leboucher G, Berger P, Roux S, Charmillon A, Foroni L, Menotti J, Lebeaux D, Mayan R, Mondain V, Robin C, Lesprit P, Alfandari S, Kerneis S. Practical checklist for implementation of antifungal stewardship programmes. J Med Microbiol. 2022 Jun;71(6). doi: 10.1099/jmm.0.001560.

  PMID: 35771615 RESULT

• Bienvenu AL, Cour M, Pavese P, Guichon C, Leray V, Chapuis C, Dureault A, Mohkam K, Gallet S, Bourget S, Kahale E, Chaabane W, Subtil F, Maucort-Boulch D, Talbot F, Dode X, Richard JC, Leboucher G. Correlation between antifungal clinical practices and a new clinical decision support system ANTIFON-CLIC(R) for the treatment of invasive candidiasis: a retrospective multicentre study. J Antimicrob Chemother. 2024 Jun 3;79(6):1407-1412. doi: 10.1093/jac/dkae118.

  PMID: 38656566 DERIVED

MeSH Terms

Conditions

Invasive Fungal Infections

Interventions

Equipment and Supplies

Condition Hierarchy (Ancestors)

Mycoses; Bacterial Infections and Mycoses; Infections

Study Officials

• Anne-Lise Bienvenu, PharmD, PhD

  Hospices Civils de Lyon

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: December 9, 2022
• First Posted: December 19, 2022
• Study Start: December 1, 2022
• Primary Completion: June 1, 2023
• Study Completion: November 30, 2023
• Last Updated: April 15, 2024

Record last verified: 2024-04

Data Sharing

• IPD Sharing: Will not share

Locations

FR (1)