Publications by authors named "Mathilde Dambrine"

Background: By recovering data in an ordered manner and at the right time, clinical decision support systems (CDSSs) are designed to help healthcare professionals make decisions that improve patient care.

Objectives: The aim of the present study was to translate the REMEDI[e]s tool's explicit criteria, France's first reference list of potentially inappropriate drugs for the elderly, into seminatural language, in order to implement these criteria as alert rules and then enable their computer coding in a CDSS.

Methods: This work was carried out at Lille University Hospital by a team of clinical pharmacists with expertise in the use of pharmaceutical decision support systems, in collaboration with the authors of the REMEDI[e]s tool.

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Article Synopsis
  • Patients with Alzheimer's disease and their caregivers are at a higher risk for medication-related issues due to aging and the use of multiple medications.
  • A study assessed medication exposure among 73 pairs of Alzheimer's patients and their caregivers, revealing that patients used an average of 6.8 medications, while caregivers used 4.7, with a significant percentage of both groups taking potentially inappropriate medications (60.3% of patients and 47.9% of caregivers).
  • The study highlights the importance of conducting medication reviews not only for patients but also for caregivers, as they are often overlooked in discussions about medication management.
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Background: Psychosocial interventions for caregivers of patients with Alzheimer disease and relative dementias (ADRD) reported a caregiver burden improvement. Multicomponent intervention integrating pharmaceutical care has not yet been evaluated while ADRD patients and their caregivers are exposed to high risk of drug-related problems. The PHARMAID study aimed to assess the impact of personalized pharmaceutical care integrated to a psychosocial program on the burden of ADRD caregivers at 18 months.

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At admission, unintentional medication discrepancies (UMDs) can occur and may led to severe adverse events. Some of them are preventable through medication reconciliation (MR). As MR is a time-consuming activity, a better identification of high-risk patients of UMDs is mandatory.

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The characterization of drug-drug interactions (DDIs) may require the use of several different tools, such as the thesaurus issued by our national health agency (i.e., ANSM), the metabolic pathways table from the Geneva University Hospital (GUH), and DDI-Predictor (DDI-P).

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