Run the Sig checks
library(DrugExposureDiagnostics)
library(dplyr)
library(DT)
# acetaminophen concept id is 1125315
acetaminophen <- 1125315
cdm <- mockDrugExposure()
acetaminophen_checks <- executeChecks(cdm = cdm,
ingredients = acetaminophen,
checks = "sig")
Sig
This shows the sig(netur) of the drug records summarised on ingredient level. The signetur of a prescription contains the information of when, how often, and how much of a drug a patient shall use.
datatable(acetaminophen_checks$drugSig,
rownames = FALSE
)
Column | Description |
---|---|
ingredient_concept_id | Concept ID of ingredient. |
ingredient | Name of drug ingredient. |
sig | The signetur of a prescription. The sig is usually only available for prescription and often contains free text or only semi-standardised information. |
n_records | Number of records for ingredient concept. If n_records is the same as n_sample this means that there are more records but the number was cut at the pre-specified sample number for efficiency reasons. |
n_sample | The pre-specified maximum sample. If n_records is smaller than the sample it means that sampling was ignored because the total number of records was already too small. |
n_person | Number of individuals. |
result_obscured | TRUE if count has been suppressed due to being below the minimum cell count, otherwise FALSE. |
Sig by concept
This shows the sig(netur) on the drug concept level. The signetur of
a prescription contains the information of when, how often, and how much
of a drug a patient shall use. The tables are identical to the overall
just including two more columns at the beginning.
Column | Description |
---|---|
drug_concept_id | ID of the drug concept. |
drug | Name of the drug concept. |
datatable(acetaminophen_checks$drugSigByConcept,
rownames = FALSE
)