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ANALYSIS OF DISCREPANCIES BETWEEN DATABASES OF DRUG-PLANT INTERACTIONS: A NEW TOOL THAT FACILITATES DAILY DECISION MAKING
European Statement
Clinical Pharmacy Services
Author(s)
Belén Serna Serrano, Victoria Lerma Gaude, Ana Valladolid Walsh, Cristina Del Pozo Carlavilla, Juan Manuel Collado Sanz, Héctor Alabort Ayllón, Eduardo Tébar Martínez, Andrea Drozdz Vergara
Why was it done?
In the pharmacist-patient clinical interview (CI), DP-I revision is frequent due to consumption increase of phytotherapy in recent years. The aim of the initiative was to study the degree of discrepancy (DD) based on the severity criteria (SC) found about the recommendations on the management of DP-I. Nowadays there are multiple databases with lack of unification. Patients diagnosed of Multiple Sclerosis (MS) are frequently interviewed by the pharmacist and they often take herbal medicines (HM).
What was done?
We unified the information collected from the commonly consulted databases of drug-plant interactions (DP-I) whose information could be scarce or contradictory, by creating a tool based on the most consulted plants in our clinical practice (CP).
How was it done?
To create our own DP-I tool, the sources consulted were:
– Our own plant database based on CP. A total of 56 plants.
– Six official databases of DP-I: (A)-Phytotherapy official monographs, (B)-MedInteract®, (C)-Micromedex®, (D)-UpToDate-Lexicomp® (E)-Medscape®.
In order to unify the DP-I information consulted and to be able to identify the DD (0 to 2), the SC for all databases were unified in 3 levels: if the database had 5 levels (1=1-2; 2=3-4; 3=5) or 4 levels (1=1-2; 2=3; 3=4). In first place we decided to test this tool with a small sample size of drugs (6 drugs commonly used for the treatment of MS) to check whether the discrepancy between the databases usually consulted was significant or not.
What has been achieved?
Finally, 6 DP-I were detected with Hypericum perforatum (HP) and Echinacea angustifolia (EA):
The DD seems to be similar between A-B databases and greater respect to the rest of them. Depending on the database consulted the pharmacist’s performance could change and consequently, pharmaceutical care may be affected. Since this tool was implemented in our CP, none of our MS patients have taken HP or EA, therefore, it has not been necessary to modify their treatment because of DP-I.
What next?
This tool could speed up the pharmacological review of possible DP-I and improve decision-making for the care of MS patients. Our next step is to increase the sample of analysed drugs commonly used in other pathologies, such as antiretroviral drugs.