An artificial dataset containing medication events (one per row) for 100 patients (1080 events in total). This is the dataset format appropriate for medication adherence analyses performed with the R package AdhereR. Medication events represent individual records of prescribing or dispensing a specific medication for a patient at a given date. Dosage and medication type is optional (only needed if calculation of adherence or persistence takes into account changes in dosage and type of medication).
A data frame with 1080 rows and 5 variables:
integer here; patient unique identifier. Can also be string
character;the medication event date, by default in the mm/dd/yyyy format. It may represent a prescribing or dispensing date.
integer; the daily dosage prescribed for the medication supplied at this medication event (i.e. how many doses should be taken daily according to the prescription). This column is optional, as it is not considered in all functions but may be relevant for specific research or clinical contexts. All values should be > 0.
character; the medication type, here two placeholder labels, 'medA' and 'medB'. This is a researcher-defined classification depending on study aims (e.g., based on therapeutic use, mechanism of action, chemical molecule, or pharmaceutical formulation). This column is optional, as it is not considered in all functions but may be relevant for specific research or clinical contexts.
integer; the medication event duration in days (i.e. how many days the mediation supplied would last if used as prescribed); may be available in the extraction or computed based on quantity supplied (the number of doses prescribed or dispensed on that occasion) and daily dosage. All values should be > 0.
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