uat_gap: Two Prescriptions Within a Desired Timeframe
In amarshall1/prescribeR: Quantify Exposure Based On Routine Prescribing Data

Description Usage Arguments Value Examples

Classifies patients as exposed or unexposed based on whether they received two prescriptions for the drug of interest within a desired number of days of each other

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uat_gap(df, drug, timeframe, return_all = FALSE,
  patient_id_col = "patient_id", drug_id_col = "drug_id",
  presc_date_col = "presc_date_x", date_format)

`df`	a data frame containing prescribing records to be analysed - records must contain at least a patient ID, drug ID and prescription date
`drug`	a string containing a drug ID to be used to limit the prescribing data to the drug(s) of interest, accepts regular expressions
`timeframe`	a number representing the desired maximum gap between prescriptions
`return_all`	logical, if TRUE function returns data for all patient IDs with a flag indicating which patients did and did not meet the threshold for exposure
`patient_id_col`	a string, the name of the column in `df` containing the patient IDs
`drug_id_col`	a string, the name of the column in `df` containing the drug IDs
`presc_date_col`	a string, the name of the column in `df` containing the prescption date
`date_format`	a string, the format of the dates in `df`

a data frame containing the patient IDs and first two prescription dates for patients who meet the definition of exposure

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uat_gap(df = synth_presc, drug = "SIMVASTATIN", timeframe = 14,
patient_id_col = "patient_id", drug_id_col = "approved_name",
presc_date_col = "presc_date", date_format = "%Y-%m-%d")