This R package includes functions for calculating measure performance, both unadjusted and adjusted, and estimating reliability with several different methods.
Several example data sets are also included: *
example_df_1: This is a simulated data set generated by
simulateData() with 100 accountable entities, an average of
50 observations per entity, a marginal outcome rate of 0.2, a median
reliability of 0.7, and a regression coefficient of 0 for the covariate.
* example_df_2: This is another simulated data set
generated by simulateData() with 100 accountable entities,
an average of 50 observations per entity, a marginal outcome rate of
0.2, and a median reliability of 0.7, and a regression coefficient of
log(1.5) for the covariate. * colonoscopy: This is a data
set aggregated to the entity-level. These data are from the Centers for
Medicare and Medicaid Services (CMS). They contain the percentage of
patients receiving appropriate recommendation for follow-up screening
colonoscopy in calendar year 2023. * psychreadmission: This
is a data set aggregated to the entity-level. These data are from the
Centers for Medicare and Medicaid Services (CMS) and show the percentage
of patients who return to a hospital for an unplanned inpatient stay
after discharge. Data are from 07/01/2021 to 06/30/2023.
Please email me at nieser@stanford.edu with any issues, questions, or feedback! I’d be happy to chat and learn how I can make this package better.
QualityMeasure version 2.0.2 is now available to
download directly from CRAN. The latest version corrects an error that
occurs when the estimated variance of the random intercepts is 0 and
modifies some of the aesthetic features of the plots.
install.packages('QualityMeasure')
library(QualityMeasure)Or, download the latest development version of the package from this repo:
library(devtools)
devtools::install_github('knieser/quality_measure_reliability')
library(QualityMeasure)Check out the tutorial vignette which walks through some examples how this package can be used to estimate entity-level reliability.
There are also two vignettes with examples using publicly available aggregated data sets. Note that because these publicly available data are already aggregated to the entity-level, not all reliability methods are appropriate to use: * Colonoscopy follow-up measure * Readmission after Psychiatric Hospitalizations measure