Calculates Days Alive and Out of Hospital (DAOH) from administrative admission/discharge/mortality data using three algorithms (nights, days, exact) and three death-handling approaches (midday, midnight, zero). Includes tools for comparing methods (Bland-Altman, ICC, reclassification), and plotting.
R package for calculating Days Alive and Out of Hospital (DAOH)
Supports all three hospital-time algorithms (nights, days, exact) and all three death-handling approaches (midday, midnight, zero), with tools for comparison, and visualisation.
# From source (once on CRAN or GitHub)
# install.packages("daoh")
# From local source
devtools::install("path/to/daoh_package/daoh")
library(daoh)
# Load the built-in day-stay example
ex <- load_example("daystay")
# Nights algorithm: same-day admission = 0 nights → DAOH = 30
calc_daoh(ex$events, ex$index_dates, period = 30, method = "nights")
# Days algorithm: same-day admission = 1 day → DAOH = 29
calc_daoh(ex$events, ex$index_dates, period = 30, method = "days")
| Function | Purpose |
|---|---|
calc_daoh() |
Main DAOH calculation |
load_example() |
Load synthetic example datasets |
bland_altman_daoh() |
Bland–Altman agreement statistics |
daoh_icc() |
Intraclass correlation across methods |
daoh_reclassify() |
Quartile reclassification analysis |
plot_daoh_dist() |
Distribution plot (Figure 2 style) |
plot_daoh_ba() |
Bland–Altman plot |
plot_daoh_reclassify() |
Reclassification heatmap |
Three synthetic datasets are included:
"daystay" — single day-stay illustrating the nights vs days difference"death" — four admissions + in-period death (Figure 1 worked example)"population" — 500-patient cohort for method comparisonSee vignette("getting_started", package = "daoh") for a full walkthrough.
DOI: 10.5281/zenodo.20671491