The goal of icdpicr2 is to provide injury researchers with easy methods for categorization of injuries described using ICD-10 diagnosis codes and for deriving measures of injury severity.
ICDPIC (International Classification of Diseases Programs for Injury Categorization) was originally developed for ICD Version 9 Clinical Modification (ICD-9-CM) diagnosis codes using Stata, providing an easy way to convert these codes to standard injury severity scores and categories. After the introduction of ICD-10-CM to US hospitals in 2015, an update to accommodate this change was developed using R, and was eventually published on CRAN as package “icdpicr”.
Package “icdpicr2” is being developed as a successor to “icdpicr”. The “Implementation Details” document provided with this package describes the history of injury severity scoring, ICDPIC, and “icdpicr”; it discusses issues with the current version of “icdpicr” and the aims for “icdpicr2”.
Package “icdpicr2” consists primarily of the function cat_trauma2. This function first reads in user data in a specified format, then calculates AIS, ISS, NISS, mortality predictions, and injury mechanisms. It returns the original data file with these fields added. Further details about the options available in cat_trauma2 are provided in the help file for this function.
Other functions in the package derive an “International Classification of Diseases-related Injury Severity Score” (ICISS) and a categorization by injury type and location presented as a “framework” by the US CDC. Further information is provided in the Implementation Details and the help files for each function.
If the so-called “vignette” with the implementation details did not download with the installation of ICDPICR2 from GitHub, perform the installation again with the commands >devtools::install_github(“clark-david/icdpicr2”, build_vignettes=TRUE) >require(icdpicr2) >help(package=”icdpicr2”)
You can install the development version of icdpicr2 from GitHub with:
# install.packages("devtools")
devtools::install_github("clark-david/icdpicr2")This is a basic example which shows you how to solve a common problem:
library(icdpicr2)
## basic example code