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临床试验/NCT04463576
NCT04463576已完成不适用

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, Bordeaux1 个研究点 分布在 1 个国家目标入组 5,769 人开始时间: 2024年5月13日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
5,769
试验地点
1
主要终点
Sensitivity of automatic identification of co-prescription at Risk of Drug Interactions (RoDI)

研究概览

简要总结

The French Public Health strategy 2018-2022 aims to reduce inappropriate prescriptions, as potentially dangerous for individuals and collectively. The reduction of co-prescriptions at Risk of Drug Interactions (RoDI) could decrease the prevalence of iatrogenic diseases, and increase the persistence of treatments with a growing efficacy of treatments, in particular in elderly populations. A recent study conducted by our team showed that, in out-patient setting, 2.7% of co-prescriptions contains medications at RoDI of high degree of severity (object of a contra-indication or non-recommended). Up today, there is no French experience concerning the identification of RoDI among the prescriptions performed at the end of a hospitalisation. In France, the recent development of hospital data warehouses is a huge opportunity to develop a system that can identify efficiently co-prescriptions at RoDI and provide feedback directly to prescribers in order to reduce their frequency in hospital context. The primary objective of this study is to evaluate the capacity of a system, called PRoSIT system, to automatically identify the RoDI of high level of severity at hospital discharge.

详细描述

This is a national multicentre study structured in three phases.

  • Phase 1. Development of the PRoSIT tool and interface. The PRoSIT tool will identify all the drugs listed in the hospital discharge prescriptions and will automatically search for IMPs, through the thesaurus of interaction of the French Agency of Drug Safety. The PRoSIT interface will allow navigation from aggregated information to source documents. This module will include a never event alert system, will be updated daily, and will be available on demand for the prescribers and referent pharmacists.
  • Phase 2. Evaluation of the PRoSIT system performance. This phase will validate the ability of the PRoSIT tool to identify severe IMPs among the drugs listed in the hospital discharge prescriptions. The performance of the PRoSIT system will be evaluated in comparison to a gold standard based of experts opinion of a representative sample of hospital discharge prescriptions in patients aged 65 years or over, hospitalized or seen in consultations in the centres of cardiology, internal medicine or neurology of three University Hospitals (Bordeaux, Rennes and HEGP).
  • Phase 3. Impact of PRoSIT on the care organization. Once validated, the PRoSIT tool will be used and evaluated at Bordeaux University Hospital. Its use will be accompanied by a presentation to users (clinicians and hospital pharmacists) as well as though regular feedbacks. A qualitative analysis will allow evaluation of the appropriation of the PRoSIT system and its impact on the organization of care. Semi-structured interviews with practitioners and pharmacists, and a series of observations of the PRoSIT feedback will be conducted, in order to measure the collective dimension of the observed changes in practices.

研究设计

研究类型
Observational
观察模型
Other
时间视角
Retrospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 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,
  • 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.

排除标准

  • Hospital discharge prescriptions not corresponding to inclusion criteria.

结局指标

主要结局

Sensitivity of automatic identification of co-prescription at Risk of Drug Interactions (RoDI)

时间窗: 36 months after inclusion

Thanks to PRoSIT tool and interface development. The PRoSIT tool will identify all the drugs listed in the hospital discharge prescriptions and will automatically search for IMPs, through the thesaurus of interaction of the French Agency of Drug Safety.

次要结局

未报告次要终点

研究者

发起方
University Hospital, Bordeaux
申办方类型
Other
责任方
Sponsor

研究点 (1)

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