Gets data from the WHO to determine properties of an ATC (e.g. an antibiotic), such as the name, defined daily dose (DDD) or standard unit.
atc_online_property( atc_code, property, administration = "O", url = "https://www.whocc.no/atc_ddd_index/?code=%s&showdescription=no", url_vet = "https://www.whocc.no/atcvet/atcvet_index/?code=%s&showdescription=no" ) atc_online_groups(atc_code, ...) atc_online_ddd(atc_code, ...)
atc_code | a character or character vector with ATC code(s) of antibiotic(s) |
---|---|
property | property of an ATC code. Valid values are |
administration | type of administration when using |
url | url of website of the WHOCC. The sign |
url_vet | url of website of the WHOCC for veterinary medicine. The sign |
... | parameters to pass on to |
https://www.whocc.no/atc_ddd_alterations__cumulative/ddd_alterations/abbrevations/
Options for parameter administration
:
"Implant"
= Implant
"Inhal"
= Inhalation
"Instill"
= Instillation
"N"
= nasal
"O"
= oral
"P"
= parenteral
"R"
= rectal
"SL"
= sublingual/buccal
"TD"
= transdermal
"V"
= vaginal
Abbreviations of return values when using property = "U"
(unit):
"g"
= gram
"mg"
= milligram
`"mcg"`` = microgram
"U"
= unit
"TU"
= thousand units
"MU"
= million units
"mmol"
= millimole
"ml"
= milliliter (e.g. eyedrops)
N.B. This function requires an internet connection and only works if the following packages are installed: curl
, rvest
, xml2
.
The lifecycle of this function is stable. In a stable function, major changes are unlikely. This means that the unlying code will generally evolve by adding new arguments; removing arguments or changing the meaning of existing arguments will be avoided.
If the unlying code needs breaking changes, they will occur gradually. For example, a parameter will be deprecated and first continue to work, but will emit an message informing you of the change. Next, typically after at least one newly released version on CRAN, the message will be transformed to an error.
On our website https://msberends.github.io/AMR you can find a comprehensive tutorial about how to conduct AMR analysis, the complete documentation of all functions (which reads a lot easier than here in R) and an example analysis using WHONET data. As we would like to better understand the backgrounds and needs of our users, please participate in our survey!
if (FALSE) { # oral DDD (Defined Daily Dose) of amoxicillin atc_online_property("J01CA04", "DDD", "O") # parenteral DDD (Defined Daily Dose) of amoxicillin atc_online_property("J01CA04", "DDD", "P") atc_online_property("J01CA04", property = "groups") # search hierarchical groups of amoxicillin # [1] "ANTIINFECTIVES FOR SYSTEMIC USE" # [2] "ANTIBACTERIALS FOR SYSTEMIC USE" # [3] "BETA-LACTAM ANTIBACTERIALS, PENICILLINS" # [4] "Penicillins with extended spectrum" }