-
Notifications
You must be signed in to change notification settings - Fork 1
Expand file tree
/
Copy pathDESCRIPTION
More file actions
68 lines (68 loc) · 2.62 KB
/
Copy pathDESCRIPTION
File metadata and controls
68 lines (68 loc) · 2.62 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
Type: Package
Package: traumar
Title: Calculate Metrics for Trauma System Performance
Version: 1.2.7
Authors@R: c(
person("Nicolas", "Foss", , "nicolas.foss@hhs.iowa.gov", role = c("aut", "cre")),
person("Iowa Department of Health and Human Services", role = "cph")
)
Description: Hospitals, hospital systems, and even trauma systems that
provide care to injured patients may not be aware of robust metrics
that can help gauge the efficacy of their programs in saving the lives
of injured patients. 'traumar' provides robust functions driven by
the academic literature to automate the calculation of relevant
metrics to individuals desiring to measure the performance of their
trauma center or even a trauma system. 'traumar' also provides some
helper functions for the data analysis journey. Users can refer to the
following publications for descriptions of the methods used in
'traumar'. TRISS methodology, including probability of survival, and
the W, M, and Z Scores - Flora (1978)
<doi:10.1097/00005373-197810000-00003>, Boyd et al. (1987,
PMID:3106646), Llullaku et al. (2009) <doi:10.1186/1749-7922-4-2>,
Singh et al. (2011) <doi:10.4103/0974-2700.86626>, Baker et al. (1974,
PMID:4814394), and Champion et al. (1989)
<doi:10.1097/00005373-198905000-00017>. For the Relative Mortality
Metric, see Napoli et al. (2017) <doi:10.1080/24725579.2017.1325948>,
Schroeder et al. (2019) <doi:10.1080/10903127.2018.1489021>, and
Kassar et al. (2016) <doi:10.1177/00031348221093563>. For more
information about methods to calculate over- and under-triage in
trauma hospital populations and samples, please see the following
publications - Peng & Xiang (2016) <doi:10.1016/j.ajem.2016.08.061>,
Beam et al. (2022) <doi:10.23937/2474-3674/1510136>, Roden-Foreman et
al. (2017) <doi:10.1097/JTN.0000000000000283>.
License: MIT + file LICENSE
URL: https://bemts-hhs.github.io/traumar/,
https://github.com/bemts-hhs/traumar
BugReports: https://github.com/bemts-hhs/traumar/issues
Depends:
R (>= 4.1)
Imports:
cli,
dplyr (>= 1.2.1),
ggplot2 (>= 4.0.3),
glue,
hms (>= 1.1.4),
infer (>= 1.1.0),
lifecycle,
lubridate (>= 1.9.5),
nemsqar (>= 1.1.2),
nortest (>= 1.0-4),
patchwork (>= 1.3.2),
purrr (>= 1.2.2),
rlang,
stats,
stringr (>= 1.6.0),
tibble (>= 3.3.1),
tidyr (>= 1.3.2),
tidyselect (>= 1.2.1),
utils
Suggests:
broom,
spelling,
testthat (>= 3.0.0)
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
Config/roxygen2/version: 8.0.0
Language: en-US