Identifying dangerous drug interactions in hospital discharge prescriptions.
Development, Validation and Impact of an Automatic Identification of Co-Prescription at Risk of Interactions in the Hospital Information System. The PRoSIT System.
University Hospital, Bordeaux · NCT04463576
This study is testing a new tool that helps doctors spot dangerous drug interactions in prescriptions for older patients leaving the hospital.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 5769 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | University Hospital, Bordeaux (other) |
| Locations | 3 sites (Bordeaux and 2 other locations) |
| Trial ID | NCT04463576 on ClinicalTrials.gov |
What this trial studies
This observational study aims to develop and evaluate the PRoSIT tool, which identifies potentially dangerous drug interactions in hospital discharge prescriptions for patients aged 65 and older. The study is structured in three phases: first, the development of the PRoSIT tool and interface; second, the evaluation of its performance against expert opinions; and third, the assessment of its impact on care organization at Bordeaux University Hospital. By utilizing hospital data warehouses, the study seeks to provide real-time feedback to prescribers to reduce the frequency of harmful co-prescriptions.
Who should consider this trial
Good fit: Ideal candidates for this study are patients aged 65 years or older who are hospitalized or seen in consultations in cardiology, internal medicine, or neurology departments.
Not a fit: Patients under 65 years of age or those not receiving care in the specified departments may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could significantly reduce the prevalence of iatrogenic diseases caused by harmful drug interactions in elderly patients.
How similar studies have performed: Other studies have shown success in identifying drug interactions using similar approaches, but this specific application in a hospital setting is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * A total of 5 676 hospital discharge prescriptions, defined as the list of medications prescribed at discharge from hospital or after a hospital visit, whether new or renewed, will be selected if they concern: patients aged 65 years or older AND in the cardiology, internal medicine and neurology departments of University Hospital of Bordeaux, University Hospital of Rennes, and Georges Pompidou European Hospital recorded between June 1, 2018 and June 1, 2019. * For the evaluation of the determinants of acceptability and effectiveness of the intervention: a group of 18 hospital practitioners and three hospital pharmacists from the concerned departments of Bordeaux University Hospital will be included. * For phase 3, all hospital discharge prescriptions for patients aged 65 or over hospitalized or seen in consultation in the cardiology, internal medicine and neurology divisions only of the Bordeaux University Hospital will be used to analyse the impact of the feedback. Exclusion Criteria: • Hospital discharge prescriptions not corresponding to inclusion criteria.
Where this trial is running
Bordeaux and 2 other locations
- Hopital Pellegrin — Bordeaux, France (RECRUITING)
- Hôpital Européen George Pompidou — Paris, France (WITHDRAWN)
- CHU de Rennes — Rennes, France (WITHDRAWN)
Study contacts
- Principal investigator: Francesco SALVO, Pr — University Hospital, Bordeaux
- Study coordinator: Francesco SALVO, Pr
- Email: francesco.salvo@u-bordeaux.fr
- Phone: 5 57 57 15 60
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Drug Interaction, drug-drug interactions, hospital data warehouse, pharmaco-informatics, feedbacks, language processing