verify Event Plausibility - Boundary Checks (S3 Generic)

Varifies events as being within (0), after (+1) or before (-1) an associated episode. This isn't necessarily a problem, for example, microbiology data coming back after death. However, it is often demonstrative of a bigger problem. For example, data is sometimes contributes from more than one episode, and then duplicated across episodes.

verify_bounds(x = NULL, los_table = NULL, hours = 24)

Arguments

x	an extracted nhic event table
los_table	episode length table
hours	the number of hours you allow before and after an episode

Value

a tibble of the same length as x with the following features:

-1

event is before the ICU episode

0

event is during the ICU episode

+1

event is after the ICU episode

Examples

## DB Connection
db_pth <- system.file("testdata/synthetic_db.sqlite3", package = "inspectEHR")
ctn <- connect(sqlite_file = db_pth)

## Pre-requisites
core <- make_core(ctn)
episodes <- characterise_episodes(ctn)

## Data item extraction
hr <- extract(core, input = "NIHR_HIC_ICU_0108")

## verify Boundary Conditions
vhr <- verify_bounds(hr, los_table = episodes)
head(vhr)
#> # A tibble: 6 x 2
#>   event_id out_of_bounds
#>      <int>         <int>
#> 1  2412851            -1
#> 2  2412852            -1
#> 3  2412853            -1
#> 4  2412854            -1
#> 5  2412855            -1
#> 6  2412856            -1
DBI::dbDisconnect(ctn)