synth_presc: Example prescribing records for 100 patients
In amarshall1/prescribeR: Quantify Exposure Based On Routine Prescribing Data

patient_id: a unique patient identifier
presc_date: the date the drug was prescribed
approved_name: the approved name of the prescribable item
qty_dispensed: the number of units prescribed
item_strength: the item strength and unit of measurement
bnf_chapter: the chapter of the BNF in which the drug appears
bnf_section: the section of the BNF in which the drug appears
bnf_subsection: the sub-section of the BNF in which the drug appears
bnf_paragraph: the paragraph of the BNF in which the drug appears
bnf_item_code: a 15 digit code - the first seven digits detail the BNF categories and the last eight digits represent the medicinal product, form, strength and generic equivalent
ddd_conversion: a factor by which the quantity should be divided to give the number of Defined Daily Doses, based on strength
ddd_dispensed: the number of Defined Daily Doses dispensed based on the quantity and strength
qty_per_day: the prescriber's instruction for how many units should be taken per day

1	synth_presc

A data frame with 1478 rows and 13 variables

A dataset containing synthetic prescribing records for 100 patients, modelled on a subset of the structure of Scottish Prescribing Information System (PIS) data. Each row represents an individual prescription for a drug on a given date, and contains a patient identifier, the date of the prescription, the approved name and British National Formulary categories for the drug, the quantity and strength dispensed and the number of Defined Daily Doses dispensed.

amarshall1/prescribeR documentation built on May 20, 2020, 2:34 p.m.