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Calculate Dropout Coverage for Health Indicators Below a Threshold

Source: R/calculate_indicator_threshold_coverage.R
calculate_threshold.Rd

This function filters health indicator data to identify the percentage of administrative regions where the coverage for a specified indicator falls below a 10% threshold for a given year. If no regions meet the criteria (i.e., all values are below the threshold), a default output is returned.

Usage

calculate_threshold(
  .data,
  admin_level = c("adminlevel_1", "district"),
  indicator = c("coverage", "dropout"),
  sbr = 0.02,
  nmr = 0.025,
  pnmr = 0.024,
  anc1survey = 0.98,
  dpt1survey = 0.97,
  survey_year = 2019,
  twin = 0.015,
  preg_loss = 0.03
)

Arguments

.data

A tibble of class cd_data.

admin_level

The level of analysis.

indicator

Character. The specific health indicator to evaluate. Options are:

  • "coverage":coverage indicators.

  • "dropout": dropout indicators.

sbr

Numeric. The stillbirth rate. Default is 0.02.

nmr

Numeric. Neonatal mortality rate. Default is 0.025.

pnmr

Numeric. Post-neonatal mortality rate. Default is 0.024.

anc1survey

Numeric. Survey-derived coverage rate for ANC-1 (antenatal care, first visit). Default is 0.98.

dpt1survey

Numeric. Survey-derived coverage rate for Penta-1 (DPT1 vaccination). Default is 0.97.

survey_year

Integer. The year of Penta-1 survey provided

twin

Numeric. Twin birth rate. Default is 0.015.

preg_loss

Numeric. Pregnancy loss rate

Value

A tibble with the selected administrative level and coverage value for regions that do not meet the below-10% threshold for the specified indicator and year. If no regions meet the criteria, a default row is returned with "None" and 0 as values.

Examples

if (FALSE) { # \dontrun{
  # Example usage:
  result <- calculate_threshold(data, filter_year = 2023, indicator = "zerodose", source = "dhis2")
  result
} # }