presc_by_time: Prescription Time Trends
In amarshall1/prescribeR: Quantify Exposure Based On Routine Prescribing Data

Description Usage Arguments Value Examples

Function generates a breakdown of the number of prescriptions, and if requested daily doses dispensed, from prescriptions matching a chosen drug identifier over time - either broken down by month, quarter, semester or year.

1
2
3

presc_by_time(df, drug = ".", flatten = FALSE, group = "Y",
  drug_id_col = "drug_id", patient_id_col = "patient_id",
  presc_date_col = "presc_date_x", dd_disp_col = NULL, date_format)

`df`	a data frame containing prescribing records to be analysed - records must contain at least a drug identifier and a 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
`flatten`	logical, if TRUE the function will only count one record/ prescription per patient per drug ID per date
`group`	a string corresponding to the desired grouping for results - either month ("M"), quarter ("Q"), semester ("S") or year ("Y")
`drug_id_col`	a string, the name of the column in `df` containing the drug IDs
`patient_id_col`	a string, the name of the column in `df` containing the patient IDs
`presc_date_col`	a string, the name of the column in `df` containing the prescption date
`dd_disp_col`	a string, the name of the column in `df` containing the number of daily doses dispensed
`date_format`	a string, the format of the dates in `df`

a data frame containing the selected time intervals and the corresponding number of prescriptions and patients with at least 1 prescription during the interval

1
2
3

presc_by_time(synth_presc, drug = "SIMVASTATIN",
drug_id_col = "approved_name", presc_date_col = "presc_date",
dd_disp_col = "ddd_dispensed", date_format = "%Y-%m-%d")