Ignite Creation Date:
2025-12-24 @ 5:33 PM
Ignite Modification Date:
2026-02-22 @ 7:02 AM
Study NCT ID:
NCT05420168
Status:
UNKNOWN
Last Update Posted:
2022-06-15
First Post:
2022-05-24
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Antibiotic Prescription Relevance Indicators: Calculation From Electronic Health Records
Sponsor:
University Hospital, Bordeaux
Organization:
Study Overview
Official Title:
Automatisation du Recueil d'Indicateurs de Pertinence de Prescription d'Antibiotiques : Développement, Validation et efficacité d'un Outil Utilisant Les systèmes d'Information d'un Groupement Hospitalier de Territoire
Status:
UNKNOWN
Status Verified Date:
2022-04
Last Known Status:
RECRUITING
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
ARIPPA
Brief Summary:
This research focuses on the development and validation of indicators on the relevance of antibiotic prescriptions. The investigators want to propose transferable tools to other healthcare institutions to allow automated construction of quality indicators as part of a structured approach to improve future practices. The main objective of the study is to develop indicators on the appropriateness of antibiotic prescriptions and on surgical prophylaxis automated from the hospital information system and to assess their criterion validity.
Detailed Description:
According to the national program to control Antimicrobial resistance, hospitals are required to report two indicators on antibiotic prescriptions appropriateness: 1/the percentage of inappropriate treatment among treatments lasting more than 7 days; 2/the percentage of surgical antibiotic prophylaxis lasting more than 24 hours.
These indicators are collected via practice audits that are time-consuming and cover a limited number of patient records.
The main objective of ARIPPA project is to assess the ability of an automatic tool to detect inappropriate antibiotic prescriptions directly from the electronic health records (sensitivity). Secondary objectives are 1) to assess the specificity, positive predictive value and negative predictive value of the tool for automatically calculating indicators of the relevance of antibiotic prescriptions from information systems, 2) to assess the impact of individual and collective feedbacks on antibiotic prescription appropriateness 3) to explore acceptability of this automated tool by prescribers.
This observational study consists in 4 steps: 1/ development of the automatic tool to detect inappropriate antibiotic prescriptions directly from the electronic health records - for treatments lasting more than 7 days, the study will focus on respiratory infections and urinary tract infections which are the most common infections in hospitals; 2/ assessment of metrologic performance of the tool by comparison to practice audits as the gold standard; 3/ feedback of the indicators to the prescribers and 4/ evaluation of the impact of this feedback on appropriateness of antibiotic prescriptions.
This project will be piloted at Bordeaux University hospital and then implemented in other public hospitals belonging to a same territorial organization. As each hospital information system is different, the investigators will propose transposable tools to other healthcare institutions to allow an automated construction of these indicators.
These indicators are collected via practice audits that are time-consuming and cover a limited number of patient records.
The main objective of ARIPPA project is to assess the ability of an automatic tool to detect inappropriate antibiotic prescriptions directly from the electronic health records (sensitivity). Secondary objectives are 1) to assess the specificity, positive predictive value and negative predictive value of the tool for automatically calculating indicators of the relevance of antibiotic prescriptions from information systems, 2) to assess the impact of individual and collective feedbacks on antibiotic prescription appropriateness 3) to explore acceptability of this automated tool by prescribers.
This observational study consists in 4 steps: 1/ development of the automatic tool to detect inappropriate antibiotic prescriptions directly from the electronic health records - for treatments lasting more than 7 days, the study will focus on respiratory infections and urinary tract infections which are the most common infections in hospitals; 2/ assessment of metrologic performance of the tool by comparison to practice audits as the gold standard; 3/ feedback of the indicators to the prescribers and 4/ evaluation of the impact of this feedback on appropriateness of antibiotic prescriptions.
This project will be piloted at Bordeaux University hospital and then implemented in other public hospitals belonging to a same territorial organization. As each hospital information system is different, the investigators will propose transposable tools to other healthcare institutions to allow an automated construction of these indicators.
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: