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.
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.
Study Type
OBSERVATIONAL
Enrollment
The system will identify inappropriate antibiotic prescriptions.
Arcachon Hospital
Arcachon, France
NOT_YET_RECRUITINGBlaye Hospital
Blaye, France
NOT_YET_RECRUITINGBordeaux University Hospital
Bordeaux, France
Sensitivity of the automatic tool to identify inappropriate antibiotic prescriptions compared to classical practices audits (gold standard).
Indicator "inappropriate treatment lasting more than 7 days": antibiotic treatment initiated or continued more than 7 days in clinical situations (urinary and respiratory infections) where a shorter treatment is recommended Indicator "surgical antibiotic prophylaxis lasting more than 24 hours": antibiotic given for a more than 24 hours for a surgical procedure requiring antibiotic prophylaxis The gold standard is the judgement of prescription appropriateness by infectious diseases experts. The gold standard will be measured independently from the automatic tool. Data will be manually extracted from patient electronic health record and assessed, independently, by two infectious diseases specialists to identify inappropriate prescriptions. In case of disagreement, an expert committee will be convened.
Time frame: Between January 2021 and December 2024
Metrological performances of each indicator
specificity , positive and negative predictive values to identify inappropriate prescriptions will be compared to gold standard (practices audits)
Time frame: Between January 2021 and December 2023
Number of responses done by the system
The number and the content of responses: acknowledgment of inappropriateness or justification of the prescription The number of alerts without responses from the prescriber.
Time frame: Between December 2022 and December 2024
Number of response with justification of the prescription
The number and the content of responses: acknowledgment of inappropriateness or justification of the prescription The number of alerts without responses from the prescriber.
Time frame: Between December 2022 and December 2024
Number of alerts without responses from the prescriber
Frantz THIESSARD, MD, PhD
CONTACT
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2,115
Charles Perrens Hospital
Bordeaux, France
NOT_YET_RECRUITINGCadillac Hospital
Cadillac, France
NOT_YET_RECRUITINGSud-Gironde Hospital
Langon, France
NOT_YET_RECRUITINGLibourne Hospital
Libourne, France
NOT_YET_RECRUITINGSainte Foy la Grande Hospital
Sainte-Foy-la-Grande, France
NOT_YET_RECRUITINGThe number and the content of responses: acknowledgment of inappropriateness or justification of the prescription The number of alerts without responses from the prescriber.
Time frame: Between December 2022 and December 2024
Evaluate the score with scale MAUQ_E
The usability of the tool will be assessed with the mHealth App Usability Questionnaire ( Zhou L, Bao J, Setiawan A, Saptono A, Parmanto B, (2019), "The mHealth App Usability Questionnaire (MAUQ): Development and Validation Study", JMIR mHealth and uHealth, 7(4):e11500. DOI: 10.2196/11500. PMID: 30973342). This score evaluate the ease of use of Interface Items of Scale are from 1 to 7 : 1 - strongly disagree, 2 - disagree, 3 - somewhat disagree, 4 - neither , agree nor disagree, 5 - somewhat agree, 6 - agree, 7 - strongly agree.
Time frame: Between June 2023 and December 2024
Evaluate the score with scale MAUQ_I
The usability of the tool will be assessed with the mHealth App Usability Questionnaire ( Zhou L, Bao J, Setiawan A, Saptono A, Parmanto B, (2019), "The mHealth App Usability Questionnaire (MAUQ): Development and Validation Study", JMIR mHealth and uHealth, 7(4):e11500. DOI: 10.2196/11500. PMID: 30973342). This score evaluate the satisfaction use of Interface Items of Scale are from 1 to 7 : 1 - strongly disagree, 2 - disagree, 3 - somewhat disagree, 4 - neither , agree nor disagree, 5 - somewhat agree, 6 - agree, 7 - strongly agree.
Time frame: Between June 2023 and December 2024
Evaluate the score with scale MAUQ_U
The usability of the tool will be assessed with the mHealth App Usability Questionnaire ( Zhou L, Bao J, Setiawan A, Saptono A, Parmanto B, (2019), "The mHealth App Usability Questionnaire (MAUQ): Development and Validation Study", JMIR mHealth and uHealth, 7(4):e11500. DOI: 10.2196/11500. PMID: 30973342). This score evaluate the usefulness. Items of Scale are from 1 to 7 : 1 - strongly disagree, 2 - disagree, 3 - somewhat disagree, 4 - neither , agree nor disagree, 5 - somewhat agree, 6 - agree, 7 - strongly agree.
Time frame: Between June 2023 and December 2024
Number of inappropriate antibiotic prescriptions
Changes in the proportion of inappropriate prescriptions will be assessed 4 months after implementation of the automatic tool and compared with the pre-implementation period
Time frame: Between April 2023 and December 2024