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临床试验/NCT07282379
NCT07282379尚未招募不适用

DETECTION OF ISAR-FLAGGED AT-RISK MEDICATION IN THE EMERGENCY DEPARTMENT (DISARMED)

Pharmacie des Hopitaux de l'Est Lemanique1 个研究点 分布在 1 个国家目标入组 300 人开始时间: 2026年3月1日最近更新:

试验速览

阶段
不适用
状态
尚未招募
发起方
入组人数
300
试验地点
1
主要终点
The rate of inappropriate prescription (PIP) as a function of their ISAR score.

研究概览

简要总结

The healthcare systems are under increasing pressure due to a rise in emergency consultations, staff shortages, an ageing population and rising costs. Emergency departments are seeing more vulnerable patients, including elderly people, who are often on multiple medications and at risk of medication errors.

To improve safety, the integration of pharmacists specialising in emergency medicine has proven beneficial: their presence in the team improves the detection of medication-related problems, speeds up and optimises treatment, reduces rehospitalisations and lowers healthcare costs. However, in most countries, these pharmacists are still rarely found in emergency departments, mainly due to a lack of resources and clinical prioritisation criteria tailored for them and adapted to this environment.

Frailty screening tools and scores, such as ISAR, can be used to identify the elderly patients most at risk, predict adverse events such as fall or mortality, and thus adapt their care in the emergency department. Indeed, elderly frail patients often take many medications and consequently are at risk of medication errors, adverse events, inappropriate prescriptions or serious drug interactions. These patients may therefore require a specialised review on their medication by clinical pharmacists when they are admitted to the emergency department, but their high number make it impossible to care for all of them.

We aim thus to evaluate the association between frailty (according to the ISAR score) and medication-related problems among elderly patients admitted to the emergency department. Researchers will examine whether this score can predict the presence of inappropriate prescribing and high-risk drug interactions. If so, pharmacists would then have a quick and easy tool to prioritise patients who would benefit most from a specialised review of their medications when they visit the emergency department.

There will not be any intervention and this study will not influence patients care. Once patients agree to participate, researchers will prospectively collect medical data from elderly patients admitted to the emergency department and analyse their medical history, home medication, reason for admission, frailty score using ISAR, and perform a pharmaceutical analysis based on these data.

研究设计

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

入排标准

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

入选标准

  • Patients aged ≥ 75 years admitted to the adult emergency department
  • Patients able to give informed consent as documented by signature or a therapeutic representative, if applicable .

排除标准

  • Patients initially admitted to the emergency resuscitation room.
  • Patients admitted to the minor accidents and emergencies room.
  • Patients admitted to the stroke unit, as they just pass through the emergency department to directly proceed to the CT-scanner.
  • Missing data for proper file analysis (e.g., missing usual home medication)
  • Patient's inability to sign consent and no therapeutic representative available
  • Patient's refusal to sign consent
  • Emergency physician's refusal to include patient for any reason.

结局指标

主要结局

The rate of inappropriate prescription (PIP) as a function of their ISAR score.

时间窗: At the time of their admission to the emergency department

The rate of inappropriate prescription (PIP) will be compared as a function of their ISAR score, using Poisson regression analysis. PIPs will be defined according to the STOPP/START online tool version 3, developed for geriatric patients.

The rate of high-risk drug-drug interactions (DDIs) as a function of their ISAR score.

时间窗: At the time of their admission to the emergency department

The rate of high-risk drug-drug interactions (DDIs) will be compared as a function of their ISAR score, using Poisson regression analysis. High-risk DDIs will be detected with the Lexicomp™ Interact online tool and only categories D ("Consider therapy modification") and X ("Avoid combination") will be considered.

次要结局

  • The predictive performance of the ISAR score for the detection of PIPs and high-risk DDIs.(At the time of their admission to the emergency department.)

研究者

发起方
Pharmacie des Hopitaux de l'Est Lemanique
申办方类型
Other
责任方
Sponsor

研究点 (1)

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