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nemsqar 1.1.0

CRAN release: 2025-03-13

Enhancements

  • Optional Confidence Intervals: Added the ability to compute confidence intervals using the Wilson or Clopper-Pearson (exact) method. This feature is optional and can be enabled when working with sample data.
    • Introduced nemsqa_binomial_confint(), a lightweight wrapper around prop.test() and binom.test() for calculating Wilson and exact confidence intervals. This function eliminates the need for an additional package dependency.
      • Ensure warning messages where any denominator < 10 are elegant and helpful, and nemsqa_binomial_confit() handles division by zero cases well.
    • Updated all wrapper functions (e.g., airway_01()) to support optional confidence interval calculation.
    • Maintained full backward compatibility with nemsqar 1.0.0 by setting confidence_interval = FALSE as the default behavior.
  • Dynamic results_summarize(): Enhanced results_summarize() to dynamically calculate only the specified groups, utilizing the previously unused population_labels object. This reduces unnecessary calculations and streamlines function performance.
  • Improved Documentation:
    • Updated and expanded the documentation for results_summarize() and summarize_measure(), offering clearer usage instructions and examples to enhance the user experience.
    • Refined the documentation for multiple other functions, improving clarity and usability.

nemsqar 1.0.0

CRAN release: 2025-03-05

Initial CRAN Release

  • First official submission of nemsqar to CRAN.

nemsqar 0.1.0

Package Inception

  • nemsqar is born! This initial version laid the foundation for calculating National EMS Quality Alliance (NEMSQA) performance measures in a structured and modular way.

Key Features

  • Designed core functions to identify target populations and compute performance measures for EMS quality metrics.
  • Implemented a modular structure for measure calculations, with _population workhorse functions handling data extraction and measure_## wrapper functions streamlining performance calculations.
  • Developed functions to align with NEMSQA measure technical documents.