The World Health Organization’s CoDEdit electronic tool is intended to help producers of cause-of-death statistics in strengthening their capacity to perform routine checks on their data. This package ports the original tool built using Microsoft Access into R. The aim is to leverage the utility and function of the original tool into a usable application program interface (API) that can be used for building more universal applications or for creating programmatic scientific workflows aimed at routine, automated, and large-scale monitoring of cause-of-death data.
codeditrUsing the icd10_example dataset which is a dataset
already formatted into a compatible structure required by the CoDEdit
tool, we can perform a check on this dataset to see possible issues in
its formatting and structure before using with the CoDEdit tool.
cod_check_codedit_input(icd10_example)
#> # A tibble: 3,613 × 8
#> sex_check sex_check_note age_check age_check_note code_check code_check_note
#> <int> <fct> <int> <fct> <int> <chr>
#> 1 0 No issues with… 0 No issues wit… 0 Cause of death…
#> 2 0 No issues with… 0 No issues wit… 0 Cause of death…
#> 3 0 No issues with… 0 No issues wit… 0 Cause of death…
#> 4 0 No issues with… 0 No issues wit… 0 Cause of death…
#> 5 0 No issues with… 0 No issues wit… 0 Cause of death…
#> 6 0 No issues with… 0 No issues wit… 0 Cause of death…
#> 7 0 No issues with… 0 No issues wit… 0 Cause of death…
#> 8 0 No issues with… 0 No issues wit… 0 Cause of death…
#> 9 0 No issues with… 0 No issues wit… 0 Cause of death…
#> 10 0 No issues with… 0 No issues wit… 0 Cause of death…
#> # ℹ 3,603 more rows
#> # ℹ 2 more variables: dod_check <int>, dod_check_note <fct>The result is a data.frame the columns of which are the check codes and check notes for each of the four types of check performed on the data.
The CoDEdit tool requires sex to be provided as a value of 1 for males and a value of 2 for females. If the input value for sex does not use this format, the check will output a note saying that the sex value is missing.
The CoDEdit tool requires age to be recorded as two values - age value and age type. Age value is the integer value for age based on age type which can either be in days (D), months (M), or years (Y).
| Age value | Age type |
|---|---|
| 0 - 27 | D (days) |
| 1 - 11 | M (months) |
| 1 - 125 | Y (years) |
The check uses this heuristic in determining if the age value and age type combination provided in the input data is appropriate for input into CoDEdit.
A low level check for cause-of-death code is performed which basically checks whether the values for the cause-of-death code are missing or not.
A low level check for date of death is performed which basically checks whether the values for the date of death are missing or not.
Given a raw cause of death dataset that contains information on sex, date of birth, date of death, and cause-of-death code, we can format this into a compatible structure required by the CoDEdit tool.
cod_structure_input(
df = cod_data_raw_example,
sex = "sex", dob = "dob", dod = "dod", code = "code", id = "id"
)
#> # A tibble: 20 × 6
#> FreeId Sex `Age Value` `Age Type` Code `Death Date`
#> <int> <int> <int> <chr> <chr> <chr>
#> 1 4136 1 1318 Y NE84&XA6KU8 2023
#> 2 4137 2 1318 Y 2B6D&XS9R 2023
#> 3 4138 1 1318 Y 2C82&XS9R 2023
#> 4 4139 1 1318 Y CA40.Z&XK9J 2023
#> 5 4140 2 1318 Y 6C40.3&XS25 2023
#> 6 4141 1 1318 Y 6C40.3&XS25 2023
#> 7 4142 1 1318 Y DB94.1&XT8W 2023
#> 8 4143 2 1318 Y BD40.Z 2023
#> 9 4144 2 1318 Y 2C76.Z&XA8QA8 2023
#> 10 4145 1 1318 Y 6C40.3&XS25 2023
#> 11 4146 2 1318 Y 8B11.5Z 2023
#> 12 4147 1 1318 Y 2B90.Y&XH74S1 2023
#> 13 4148 1 1318 Y BD10&XT5R 2023
#> 14 4149 1 1318 Y 1G41 2023
#> 15 4150 1 1318 Y BD10&XT5R 2023
#> 16 4151 2 1318 Y CA40.Z&XB25 2023
#> 17 4152 2 1318 Y BA01 2023
#> 18 4153 1 1318 Y 1G41 2023
#> 19 4154 2 1318 Y BB40 2023
#> 20 4155 1 1318 Y 1B91 2023This output can then be stored as an .xlsx file and then
uploaded into the CoDEdit tool.
The cod_check_code() function performs all the checks
implemented by the CoDEdit tool.
cod_check_code(
cod_data_raw_example$code, version = "icd11",
sex = cod_data_raw_example$sex, age = cod_data_raw_example$age
)
#> # A tibble: 20 × 12
#> cod_check_structure cod_check_note_structure cod_check_ill_defined
#> <int> <fct> <int>
#> 1 0 No issues found in CoD code 0
#> 2 0 No issues found in CoD code 0
#> 3 0 No issues found in CoD code 0
#> 4 0 No issues found in CoD code 0
#> 5 0 No issues found in CoD code 0
#> 6 0 No issues found in CoD code 0
#> 7 0 No issues found in CoD code 0
#> 8 0 No issues found in CoD code 0
#> 9 0 No issues found in CoD code 0
#> 10 0 No issues found in CoD code 0
#> 11 0 No issues found in CoD code 0
#> 12 0 No issues found in CoD code 0
#> 13 0 No issues found in CoD code 0
#> 14 0 No issues found in CoD code 0
#> 15 0 No issues found in CoD code 0
#> 16 0 No issues found in CoD code 0
#> 17 0 No issues found in CoD code 0
#> 18 0 No issues found in CoD code 0
#> 19 0 No issues found in CoD code 0
#> 20 0 No issues found in CoD code 0
#> # ℹ 9 more variables: cod_check_note_ill_defined <fct>,
#> # cod_check_unlikely <int>, cod_check_note_unlikely <fct>,
#> # cod_check_sex <int>, cod_check_note_sex <fct>, cod_check_age <int>,
#> # cod_check_note_age <fct>, cod_check_code <dbl>, cod_check_code_note <fct>Results of the per row cause-of-death checks can also be summarised to give a count of issues found in the dataset.
cod_check_code(
cod_data_raw_example$code, version = "icd11",
sex = cod_data_raw_example$sex, age = cod_data_raw_example$age
) |>
cod_check_code_summary()
#> $`Code structure`
#> # A tibble: 65 × 2
#> cod_check_note n
#> <fct> <int>
#> 1 No issues found in CoD code 20
#> 2 CoD code has a period (`.`) character in the wrong place 0
#> 3 CoD code starts with `O` or `I` 0
#> 4 CoD code has a period (`.`) character in the wrong place; CoD code sta… 0
#> 5 CoD code has a number as its second value 0
#> 6 CoD code has a period (`.`) character in the wrong place; CoD code has… 0
#> 7 CoD code starts with `O` or `I`; CoD code has a number as its second v… 0
#> 8 CoD code has a period (`.`) character in the wrong place; CoD code sta… 0
#> 9 CoD code has `O` or `I` as its second value 0
#> 10 CoD code has a period (`.`) character in the wrong place; CoD code has… 0
#> # ℹ 55 more rows
#>
#> $`Ill-defined code`
#> # A tibble: 2 × 2
#> cod_check_note n
#> <fct> <int>
#> 1 No issues found in CoD code 20
#> 2 CoD code is an ill-defined code 0
#>
#> $`Unlikely cause-of-death code`
#> # A tibble: 2 × 2
#> cod_check_note n
#> <fct> <int>
#> 1 No issues found in CoD code 20
#> 2 CoD code is an unlikely cause-of-death 0
#>
#> $`Code not appropriate for sex`
#> # A tibble: 2 × 2
#> cod_check_note n
#> <fct> <int>
#> 1 No issues found in CoD code 20
#> 2 CoD code is not appropriate for person's sex 0
#>
#> $`Code not appropriate for age`
#> # A tibble: 2 × 2
#> cod_check_note n
#> <fct> <int>
#> 1 No issues found in CoD code 20
#> 2 CoD code is not appropriate for person's age 0
#>
#> $Overall
#> # A tibble: 2 × 2
#> cod_check_note n
#> <fct> <int>
#> 1 No issues found in CoD code 20
#> 2 Issues found in CoD code 0The family of cod_check_code_* functions can be used to
perform specific check types on the cause-of-death data.
### Perform code structure check on cause-of-death data ----
cod_check_code_structure_icd11(cod_data_raw_example$code)
#> # A tibble: 20 × 2
#> cod_check cod_check_note
#> <int> <fct>
#> 1 0 No issues found in CoD code
#> 2 0 No issues found in CoD code
#> 3 0 No issues found in CoD code
#> 4 0 No issues found in CoD code
#> 5 0 No issues found in CoD code
#> 6 0 No issues found in CoD code
#> 7 0 No issues found in CoD code
#> 8 0 No issues found in CoD code
#> 9 0 No issues found in CoD code
#> 10 0 No issues found in CoD code
#> 11 0 No issues found in CoD code
#> 12 0 No issues found in CoD code
#> 13 0 No issues found in CoD code
#> 14 0 No issues found in CoD code
#> 15 0 No issues found in CoD code
#> 16 0 No issues found in CoD code
#> 17 0 No issues found in CoD code
#> 18 0 No issues found in CoD code
#> 19 0 No issues found in CoD code
#> 20 0 No issues found in CoD code### Perform check for ill-defined codes on cause-of-death data ----
cod_check_code_ill_defined_icd11(cod_data_raw_example$code)
#> # A tibble: 20 × 2
#> cod_check cod_check_note
#> <int> <fct>
#> 1 0 No issues found in CoD code
#> 2 0 No issues found in CoD code
#> 3 0 No issues found in CoD code
#> 4 0 No issues found in CoD code
#> 5 0 No issues found in CoD code
#> 6 0 No issues found in CoD code
#> 7 0 No issues found in CoD code
#> 8 0 No issues found in CoD code
#> 9 0 No issues found in CoD code
#> 10 0 No issues found in CoD code
#> 11 0 No issues found in CoD code
#> 12 0 No issues found in CoD code
#> 13 0 No issues found in CoD code
#> 14 0 No issues found in CoD code
#> 15 0 No issues found in CoD code
#> 16 0 No issues found in CoD code
#> 17 0 No issues found in CoD code
#> 18 0 No issues found in CoD code
#> 19 0 No issues found in CoD code
#> 20 0 No issues found in CoD code### Perform check for unlikely cause-of-death codes ----
cod_check_code_unlikely_icd11(cod_data_raw_example$code)
#> # A tibble: 20 × 2
#> cod_check cod_check_note
#> <int> <fct>
#> 1 0 No issues found in CoD code
#> 2 0 No issues found in CoD code
#> 3 0 No issues found in CoD code
#> 4 0 No issues found in CoD code
#> 5 0 No issues found in CoD code
#> 6 0 No issues found in CoD code
#> 7 0 No issues found in CoD code
#> 8 0 No issues found in CoD code
#> 9 0 No issues found in CoD code
#> 10 0 No issues found in CoD code
#> 11 0 No issues found in CoD code
#> 12 0 No issues found in CoD code
#> 13 0 No issues found in CoD code
#> 14 0 No issues found in CoD code
#> 15 0 No issues found in CoD code
#> 16 0 No issues found in CoD code
#> 17 0 No issues found in CoD code
#> 18 0 No issues found in CoD code
#> 19 0 No issues found in CoD code
#> 20 0 No issues found in CoD code### Perform check for cause-of-death codes inappropriate for specific sex ----
cod_check_code_sex_icd11(cod_data_raw_example$code, cod_data_raw_example$sex)
#> # A tibble: 20 × 2
#> cod_check cod_check_note
#> <int> <fct>
#> 1 0 No issues found in CoD code
#> 2 0 No issues found in CoD code
#> 3 0 No issues found in CoD code
#> 4 0 No issues found in CoD code
#> 5 0 No issues found in CoD code
#> 6 0 No issues found in CoD code
#> 7 0 No issues found in CoD code
#> 8 0 No issues found in CoD code
#> 9 0 No issues found in CoD code
#> 10 0 No issues found in CoD code
#> 11 0 No issues found in CoD code
#> 12 0 No issues found in CoD code
#> 13 0 No issues found in CoD code
#> 14 0 No issues found in CoD code
#> 15 0 No issues found in CoD code
#> 16 0 No issues found in CoD code
#> 17 0 No issues found in CoD code
#> 18 0 No issues found in CoD code
#> 19 0 No issues found in CoD code
#> 20 0 No issues found in CoD code### Perform check for cause-of-death codes inappropriate for specific age ----
cod_check_code_age_icd11(cod_data_raw_example$code, cod_data_raw_example$age)
#> # A tibble: 20 × 2
#> cod_check cod_check_note
#> <int> <fct>
#> 1 0 No issues found in CoD code
#> 2 0 No issues found in CoD code
#> 3 0 No issues found in CoD code
#> 4 0 No issues found in CoD code
#> 5 0 No issues found in CoD code
#> 6 0 No issues found in CoD code
#> 7 0 No issues found in CoD code
#> 8 0 No issues found in CoD code
#> 9 0 No issues found in CoD code
#> 10 0 No issues found in CoD code
#> 11 0 No issues found in CoD code
#> 12 0 No issues found in CoD code
#> 13 0 No issues found in CoD code
#> 14 0 No issues found in CoD code
#> 15 0 No issues found in CoD code
#> 16 0 No issues found in CoD code
#> 17 0 No issues found in CoD code
#> 18 0 No issues found in CoD code
#> 19 0 No issues found in CoD code
#> 20 0 No issues found in CoD codeThis vignette
gives a more detailed discussion of all the checks performed by the
codeditr package.