The goal of iiptreviewer is to make the underlying data for the systematic review and meta-analysis regarding Intensive Interdisciplinary Pain Treatmen for children and adolescents with chronic pain as accessible as possible to reproduce the analyses or use them for one’s own research.
Installation
You can install the released version of iiptreviewer from GitHub with:
devtools::install_github("pedscience/iiptreviewer")Dataset
The dataset can be loaded with:
library(iiptreviewer)
iipt_dataset
#> # A tibble: 161 x 27
#> study_id study_label year intervention_id country domain description
#> <dbl> <glue> <dbl> <dbl> <chr> <chr> <chr>
#> 1 8 Dobe et al.,~ 2011 3 Germany Pain in~ Mean pain inte~
#> 2 8 Dobe et al.,~ 2011 3 Germany Pain in~ Mean pain inte~
#> 3 8 Dobe et al.,~ 2011 3 Germany Pain in~ Mean pain inte~
#> 4 8 Dobe et al.,~ 2011 3 Germany Pain in~ Mean pain inte~
#> 5 8 Dobe et al.,~ 2011 3 Germany Physica~ Pain-related d~
#> 6 8 Dobe et al.,~ 2011 3 Germany Physica~ Pain-related d~
#> 7 8 Dobe et al.,~ 2011 3 Germany Physica~ Pain-related d~
#> 8 8 Dobe et al.,~ 2011 3 Germany Role fu~ Missed school ~
#> 9 8 Dobe et al.,~ 2011 3 Germany Role fu~ Missed school ~
#> 10 8 Dobe et al.,~ 2011 3 Germany Role fu~ Missed school ~
#> # ... with 151 more rows, and 20 more variables: instrument <chr>,
#> # outcome <chr>, type <chr>, analysis_time <chr>, time_1 <chr>, time_2 <chr>,
#> # mean_1 <dbl>, mean_2 <dbl>, sd_1 <dbl>, sd_2 <dbl>, n_pairs <dbl>,
#> # n_1 <dbl>, n_2 <dbl>, correlation <dbl>, g <dbl>, var_g <dbl>, se_g <dbl>,
#> # r <dbl>, var_r <dbl>, se_r <dbl>