Evaluating Antibiotic Stewardship Assisted by Computer in the University Hospital of Nancy (MACABAO)

NCT ID: NCT04976829

Last Updated: 2021-08-26

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

100000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-09-01

Study Completion Date

2022-09-01

Brief Summary

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Antibiotic resistance is one of the most pressing health threats that mankind faces now and in the coming decades. Antibiotic resistance leads to longer hospital stays, higher medical costs and increased mortality. In order to tackle antibiotic resistance, a computerized-decision support system (CDSS) facilitating antibiotic stewardship and an electronic surveillance software (ESS) facilitating infection prevention and control activities will implement in our tertiary care university hospital.

The investigators conduct a pragmatic, prospective, single-centre, before-after uncontrolled study with an interrupted time-series analysis 12 months before and 12 months after the introduction of the CDSS for antibiotic stewardship (APSS) and ESS for infection surveillance (ZINC). APSS and ZINC will assist respectively the antibiotic stewardship and the infection prevention and control teams of Nancy University Hospital (France). The investigators will evaluate the impact of the CDSS/ESS on the antibiotic use in adult (≥ 18 years) inpatients (hospitalised ≥ 48h). The primary outcome is the prescription rate by all healthcare professionals from the hospital of all systemic antibiotics expressed in defined daily doses/1 000 patients/month. Concurrently, the investigators will assess the safety of the intervention, its impact on the appropriateness of antibiotic prescriptions and on additional precautions (isolation precautions) as recommended in guidelines, and on bacterial epidemiology (multidrug-resistant bacteria and Clostridioides difficile infections) in the hospital. Finally, the investigators will evaluate the users' satisfaction and the cost of this intervention from the hospital perspective.

Detailed Description

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Conditions

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Antibiotic Healthcare Associated Infection

Study Design

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Observational Model Type

OTHER

Study Time Perspective

OTHER

Study Groups

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adult (≥ 18 years) inpatients (hospitalised ≥ 48h)

Antibiotic stewardship and healthcare-associated infections surveillance assisted by computer

Intervention Type DEVICE

Implementation - in our tertiary care university hospital - of a computerized-decision support system (CDSS) facilitating antibiotic stewardship and of an electronic surveillance software (ESS) facilitating infection prevention and control activities

Interventions

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Antibiotic stewardship and healthcare-associated infections surveillance assisted by computer

Implementation - in our tertiary care university hospital - of a computerized-decision support system (CDSS) facilitating antibiotic stewardship and of an electronic surveillance software (ESS) facilitating infection prevention and control activities

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* All inpatients ≥ 18 years and hospitalised ≥ 48h in Nancy University Hospital

Exclusion Criteria

* The paediatric and gynaeco-obstetric departments
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Central Hospital, Nancy, France

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Arnaud Florentin, Dr

Role: PRINCIPAL_INVESTIGATOR

Université de Lorraine, CHRU-Nancy, APEMAC EA4360, F-54000 Nancy, France

Central Contacts

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Arnaud Florentin, Dr

Role: CONTACT

+33383155293

Alexandre Baudet, Dr

Role: CONTACT

References

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Baudet A, Agrinier N, Charmillon A, Pulcini C, Lozniewski A, Aissa N, Lizon J, Thilly N, Demore B, Florentin A. Evaluating antibiotic stewardship and healthcare-associated infections surveillance assisted by computer: protocol for an interrupted time series study. BMJ Open. 2022 Apr 5;12(4):e056125. doi: 10.1136/bmjopen-2021-056125.

Reference Type DERIVED
PMID: 35383069 (View on PubMed)

Other Identifiers

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2021PI072

Identifier Type: -

Identifier Source: org_study_id

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