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Retrieves Data for Mammograms Conducted

Source: R/get_breast_mammogram.R
get_breast_mammogram.Rd

get_breast_mammogram() retrieves data for mammograms conducted within a specified period from the KHIS API server.

Usage

get_breast_mammogram(
  start_date,
  end_date = NULL,
  level = c("country", "county", "subcounty", "ward", "facility"),
  organisations = NULL,
  ...
)

Arguments

start_date

The start date to retrieve data. It is required and in the format YYYY-MM-dd.

end_date

The ending date for data retrieval (default is the current date).

level

The desired data granularity: "country" (the default), "county", "subcounty", "ward", or "facility".

organisations

A list of organization units ids to be filtered.

...

Other options that can be passed onto KHIS API.

Value

A tibble containing data for mammograms conducted with the following columns:

  • country - Name of the country.

  • county - Name of the county. Optional if the level is county, subcounty, ward or facility.

  • subcounty - Name of the subcounty. Optional if the level is subcounty, ward or facility.

  • ward - Name of the ward. Optional if the level is ward or facility.

  • facility - Name of the health facility. Optional if the level facility.

  • period - The month and year of the data.

  • fiscal_year- The financial year of the report(July-June Cycle).

  • year - The calendar year of the report.

  • month - The month name of the report.

  • category - The age group category of the report (25-34, 35-39, 40-55, 56-74, or 75+).

  • category2 - Additional category if available.

  • element - The data element.

  • value - The number reported.

Examples


# Download data from February 2023 to current date
mammogram_data <- get_breast_mammogram(start_date = '2023-02-01')
mammogram_data
#> # A tibble: 177 × 11
#>    value country element  age_group period     month    year quarter fiscal_year
#>    <dbl> <chr>   <fct>    <fct>     <date>     <ord>   <dbl> <fct>   <fct>      
#>  1     1 Kenya   BIRADS 6 40-55     2023-09-01 Septem…  2023 Q1      2023/2024  
#>  2     5 Kenya   BIRADS 4 40-55     2024-04-01 April    2024 Q4      2023/2024  
#>  3     1 Kenya   BIRADS 6 40-55     2023-07-01 July     2023 Q1      2023/2024  
#>  4     5 Kenya   BIRADS 4 40-55     2024-03-01 March    2024 Q3      2023/2024  
#>  5     1 Kenya   BIRADS 6 56-74     2024-03-01 March    2024 Q3      2023/2024  
#>  6    10 Kenya   BIRADS 4 35-39     2024-01-01 January  2024 Q3      2023/2024  
#>  7     1 Kenya   BIRADS 6 40-55     2023-05-01 May      2023 Q4      2022/2023  
#>  8    13 Kenya   BIRADS 4 40-55     2024-02-01 Februa…  2024 Q3      2023/2024  
#>  9     1 Kenya   BIRADS 6 40-55     2023-06-01 June     2023 Q4      2022/2023  
#> 10     3 Kenya   BIRADS 4 40-55     2024-01-01 January  2024 Q3      2023/2024  
#> # ℹ 167 more rows
#> # ℹ 2 more variables: source <chr>, category <fct>