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nemsqar 1.1.0

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

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.

Implemented Functions

Measure Functions

• airway_01(), airway_05(), airway_18()
  
• asthma_01(), hypoglycemia_01(), pediatrics_03b()
  
• respiratory_01(), respiratory_02(), safety_01()
  
• safety_02(), safety_04(), seizure_02()
  
• stroke_01(), syncope_01(), tbi_01()
  
• trauma_01(), trauma_03(), trauma_04()
  
• trauma_08(), trauma_14(), ttr_01()

Population Functions

• airway_01_population(), airway_05_population(), airway_18_population()
  
• asthma_01_population(), hypoglycemia_01_population(), pediatrics_03b_population()
  
• respiratory_01_population(), respiratory_02_population(), safety_01_population()
  
• safety_02_population(), safety_04_population(), seizure_02_population()
  
• stroke_01_population(), syncope_01_population(), tbi_01_population()
  
• trauma_01_population(), trauma_03_population(), trauma_04_population()
  
• trauma_08_population(), trauma_14_population(), ttr_01_population()

Utility Functions

• results_summarize(), summarize_measure()

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.