This is a R package which exposes a model for the estimation of the probability of nasal Methicillin-resistant Staphylococcus auraus (MRSA) carriage in hospital admissions and the positive predictive value of a diagnostic test for the same admissions, given the following parameters:
- risk factors for nasal carriage, including
- age
- nursing home residence
- emergency admission
- ICD-10 admission diagnosis header
- prevalence of MRSA nasal carriage among admissions
- sensitivity and specificity of a diagnostic test used for screening
Have a look at mrsapdc.info to see the presented model in action.
Make sure you have R and package devtools installed. Then, type devtools::install_github("joheli/mrsapdc") to install package 'mrsapdc'.
After loading the library with the command library(mrsapdc), get help on the main function by typing ?mrsa.pdc.
The model described was used in a publication by Elias et al. (2013).
Elias J, Heuschmann PU, Schmitt C, Eckhardt F, Boehm H, Maier S, Kolb-Mäurer A, Riedmiller H, Müllges W, Weisser C, Wunder C, Frosch M, Vogel U. Prevalence dependent calibration of a predictive model for nasal carriage of methicillin-resistant Staphylococcus aureus. BMC Infect Dis. 2013 Feb 28;13:111.