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Generate simulated ipintervention data

dummy_ipintervention_mri_maid.Rd

This function creates a dummy dataset with a subset of variables that are contained in the GEMINI "ipintervention" table, as seen in GEMINI Data Repository Dictionary.

This function simulates data with CCI codes detailing the type of intervention that occurred in an inpatient stay.

Usage

dummy_ipintervention_mri_maid(
  nid = 1000,
  n_hospitals = 10,
  cohort = NULL,
  int_code = NULL,
  seed = NULL
)

Arguments

nid

(integer)
Number of unique encounter IDs to simulate. Encounter IDs may repeat, resulting in a data table with more rows than nid. It is not used if cohort is provided.

n_hospitals

(integer)
Number of unique hospitals to simulate. It is not used if cohort is provided.

cohort

(data.frame or data.table)
Optional, data frame or data table containing the columns:

  • genc_id (integer): Mock encounter ID number

  • hospital_num (integer): Mock hospital ID number When cohort is not NULL, nid and n_hospitals are ignored.

int_code

(character)
Optional, user-specified intervention codes to include in the returned data table. It needs to be a valid MRI or MAID code.

seed

(integer)
Optional, a number to be used to set the seed for reproducible results

Value

(data.table)
A data.table object similar to the "ipintervention" table that contains the columns:

  • genc_id (integer): Mock encounter ID number; integers starting from 1 or provided from cohort

  • hospital_num (integer): Mock hospital ID number; integers starting from 1 or provided from cohort

  • intervention_code (character): Valid CCI code(s) describing the services (procedures/intervention) performed for or on behalf of the patient to improve health. For this simulation, it will either be for an MRI or medical assistance in dying (MAID)

Examples

dummy_ipintervention_mri_maid(nid = 1000, int_code = c("3AN40VA", "3SC40WC"))
#>       genc_id hospital_num intervention_code
#>         <int>        <int>            <char>
#>    1:       1            4           3AN40VA
#>    2:       2            3           3AN40VA
#>    3:       3            7           3SC40WC
#>    4:       4            2           3AN40VA
#>    5:       4            2           3SC40WC
#>   ---                                       
#> 1495:     997            7           3AN40VA
#> 1496:     998            2           3AN40VA
#> 1497:     999            5           3SC40WC
#> 1498:    1000            5           3SC40WC
#> 1499:    1000            5           3SC40WC
dummy_ipintervention_mri_maid(nid = 1000, int_code = "3SC40WC")
#>       genc_id hospital_num intervention_code
#>         <int>        <int>            <char>
#>    1:       1            2           3SC40WC
#>    2:       2            2           3SC40WC
#>    3:       3            5           3SC40WC
#>    4:       4            5           3SC40WC
#>    5:       4            5           3SC40WC
#>   ---                                       
#> 1512:     998            8           3SC40WC
#> 1513:     999            7           3SC40WC
#> 1514:     999            7           3SC40WC
#> 1515:     999            7           3SC40WC
#> 1516:    1000            1           3SC40WC

dummy_ipintervention_mri_maid(nid = 1000, n_hospitals = 10, seed = 1)
#>       genc_id hospital_num intervention_code
#>         <int>        <int>            <char>
#>    1:       1            9           3GY40VA
#>    2:       2            4           3ER40WC
#>    3:       3            7           3SC40VA
#>    4:       4            1           3AN40VA
#>    5:       5            2           3SC40VA
#>   ---                                       
#> 1495:     998            7           3OT40VA
#> 1496:     998            7           3AN40VA
#> 1497:     999            8           3OT40WC
#> 1498:    1000            5           3SC40VA
#> 1499:    1000            5           3ER40VA