Calculate Overall Quality Score for Data Quality Metrics — calculate_overall

This function calculates an overall quality score based on various data quality metrics. It summarizes completeness, outlier presence, and consistency of reporting in immunization health facility data.

Usage

calculate_overall_score(
  .data,
  threshold,
  ratio_pairs = list(ratioAP = c("anc1", "penta1"), ratioPP = c("penta1", "penta3"))
)

Arguments

.data: A data frame of type cd_data containing facility data including annual reporting rates, completeness, and consistency indicators.
threshold: The data reporting rate threshold.
ratio_pairs: description

Value

A tibble with calculated scores for each metric, including a summary row for the annual quality score. The result is ordered by metric codes and ready for reporting in tabular or graphical form.

Details

calculate_overall_score processes multiple data quality indicators:

Completeness metrics: Percentage of expected reports, districts with complete reporting, and districts with no missing values.
Outlier metrics: Percentage of monthly values and districts without extreme outliers.
Consistency ratios: Ratios between different immunization indicators to ensure internal consistency.

The function calculates averages for the selected metrics and includes a row summarizing the annual data quality score.

Examples

if (FALSE) { # \dontrun{
calculate_overall_score(.data = my_data)
} # }