plotSSR

This function creates a plot of the measure performance for each entity split across two exclusive random samples of observations within each entity.

Quality of care is compared across accountable entities, including hospitals, provider groups, and insurance plans, using standardized quality measures. However, observed variations in quality measure performance might be the result of chance sampling or measurement errors. Contains functions for estimating the reliability of unadjusted and risk-standardized quality measures.

Kenneth Nieser

QualityMeasure

Methods for Analyzing Quality Measure Performance

plotSSR function

<dl><dt>df</dt>
<dd>observation-level data; if null, will use the dataframe from the model object</dd>
<dt>model</dt>
<dd>model; if null, will use an unadjusted model</dd>
<dt>entity</dt>
<dd>data column containing the accountable entity identifier</dd>
<dt>y</dt>
<dd>data column containing the outcome variable</dd>
<dt>ctrPerf</dt>
<dd>parameters to control performance measure calculation</dd></dl>

Arguments

Kenneth Nieser (nieser@stanford.edu)

Author

Example plot of values used to calcualte split-sample reliability. — plotSSR

<dl>

<dt>df</dt>
<dd>observation-level data; if null, will use the dataframe from the model object</dd>


<dt>model</dt>
<dd>model; if null, will use an unadjusted model</dd>


<dt>entity</dt>
<dd>data column containing the accountable entity identifier</dd>


<dt>y</dt>
<dd>data column containing the outcome variable</dd>


<dt>ctrPerf</dt>
<dd>parameters to control performance measure calculation</dd>

</dl>

plotSSR: Example plot of values used to calcualte split-sample reliability.

Description

Usage

Arguments

Author

References

Examples