Trials / Unknown
UnknownNCT05206006
Impact of Computerized Decision Support for ANTIBIOtic Prescription in Cancer Patients With Febrile NEutropenia in the Emergency Department on Treatment Failure.
Impact of Computerized Decision Support for ANTIBIOtic Prescription in Cancer Patients With Febrile NEutropenia in the Emergency Department on Treatment Failure. A Randomized Cluster-controlled Trial.
- Status
- Unknown
- Phase
- N/A
- Study type
- Interventional
- Enrollment
- 540 (estimated)
- Sponsor
- Assistance Publique - Hôpitaux de Paris · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- Not accepted
Summary
Treatment of patients with febrile neutropenia (FN) attending Emergency Departments (EDs) relies on rapid antibiotic initiation in order to control a presumed infection. The choice of initial antibiotics is empirical and depends on patient's prior colonization or infection by multi-drug resistant pathogens (MDRPs) and risk stratification. Stratification of high-risk patients needing broad-spectrum antibiotics is debated. Thus, for non-specialist physicians, this choice may be challenging, leading to inappropriate initial antimicrobial regimens, potential risks for the patient and higher costs. Furthermore, international guidelines recommended to develop antibiotic stewardship programs and promoted an initial strategy based on escalation or de-escalation approaches, with early reassessment depending on patients' clinical course and microbiological results. Nevertheless, this interesting strategy may increase the level of complexity for the choice of the initial antibiotic regimen by non-specialist emergency physicians who are often the first prescribers in this context. We developed an interactive computerized decision support app (CDSA) for initial antibiotic prescription and early revaluation in patients with FN. The first goal of this app is to assist non-specialized physicians in choosing initial antimicrobial regimen for patients with FN when they attend EDs. It uses an interactive algorithm based on international guidelines that takes into account patients' medical history and characteristics. Secondly, the app is also designed to propose an algorithm of antibiotic revaluation at day 3-4 for hospitalized patients, depending on patient clinical course, and biological and microbiological results. The revaluation suggests antimicrobial modification (escalation or de-escalation) or discontinuation and stopping rules with recommended duration of therapy also based on international guidelines. We hypothesize that such a CDSA may improve the adherence to guidelines for the choice of initial antibiotic regimen for FN in the ED, favour early antibiotic reassessment for hospitalized patients, both decreasing the risk of treatment failure.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | routine care | The choice of the initial antibiotic regimen will be let to the discretion of the emergency physician |
| OTHER | Computerized Decision support app (CDSA) | Implementation of an Computerized Decision support app (CDSA) : physician will use this app to help him in the antibiotic choice. This app is an interactive algorithm based on international guidelines that takes into account patients' medical history and characteristics. Secondly, the application is also designed to propose an algorithm of antibiotic revaluation at day 3 for hospitalized patients, depending on patient clinical course, and biological and microbiological results. The revaluation suggests antimicrobial modification (escalation or de-escalation) or discontinuation and stopping rules with recommended duration of therapy also based on international guidelines. |
Timeline
- Start date
- 2022-02-14
- Primary completion
- 2023-03-21
- Completion
- 2023-06-21
- First posted
- 2022-01-25
- Last updated
- 2022-01-25
Source: ClinicalTrials.gov record NCT05206006. Inclusion in this directory is not an endorsement.