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<main id="main" class="col-md-9"><div class="page-header">
<img src="../logo.png" class="logo" alt=""><h1>Make LOS and Readmit Index Summary Tibble</h1>
<small class="dont-index">Source: <a href="https://github.com/spsanderson/healthyR/blob/HEAD/R/data_tbl_functions.R" class="external-link"><code>R/data_tbl_functions.R</code></a></small>
<div class="d-none name"><code>los_ra_index_summary_tbl.Rd</code></div>
</div>
<div class="ref-description section level2">
<p>Create the length of stay and readmit index summary tibble</p>
</div>
<div class="section level2">
<h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">los_ra_index_summary_tbl</span><span class="op">(</span></span>
<span> <span class="va">.data</span>,</span>
<span> .max_los <span class="op">=</span> <span class="fl">15</span>,</span>
<span> <span class="va">.alos_col</span>,</span>
<span> <span class="va">.elos_col</span>,</span>
<span> <span class="va">.readmit_rate</span>,</span>
<span> <span class="va">.readmit_bench</span></span>
<span><span class="op">)</span></span></code></pre></div>
</div>
<div class="section level2">
<h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
<dl><dt>.data</dt>
<dd><p>The data you are going to analyze.</p></dd>
<dt>.max_los</dt>
<dd><p>You can give a maximum LOS value. Lets say you typically do
not see los over 15 days, you would then set .max_los to 15 and all values greater
than .max_los will be grouped to .max_los</p></dd>
<dt>.alos_col</dt>
<dd><p>The Average Length of Stay column</p></dd>
<dt>.elos_col</dt>
<dd><p>The Expected Length of Stay column</p></dd>
<dt>.readmit_rate</dt>
<dd><p>The Actual Readmit Rate column</p></dd>
<dt>.readmit_bench</dt>
<dd><p>The Expected Readmit Rate column</p></dd>
</dl></div>
<div class="section level2">
<h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
<p>A tibble</p>
</div>
<div class="section level2">
<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
<ul><li><p>Expects a tibble</p></li>
<li><p>Expects the following columns and there should only be these 4</p><ul><li><p>Length Of Stay Actual - Should be an integer</p></li>
<li><p>Length Of Stacy Benchmark - Should be an integer</p></li>
<li><p>Readmit Rate Actual - Should be 0/1 for each record, 1 = readmitted, 0 did not.</p></li>
<li><p>Readmit Rate Benchmark - Should be a percentage from the benchmark file.</p></li>
</ul></li>
<li><p>This will add a column called visits that will be the count of records per
length of stay from 1 to .max_los</p></li>
<li><p>The .max_los param can be left blank and the function will default to 15. If
this is not a good default and you don't know what it should be then set it to
75 percentile from the <code><a href="https://rdrr.io/r/stats/quantile.html" class="external-link">stats::quantile()</a></code> function using the defaults, like so
.max_los = <code>stats::quantile(data_tbl$alos)[[4]]</code></p></li>
<li><p>Uses all data to compute variance, if you want it for a particular time frame
you will have to filter the data that goes into the .data argument. It is
suggested to use <code><a href="https://rdrr.io/pkg/timetk/man/filter_by_time.html" class="external-link">timetk::filter_by_time()</a></code></p></li>
<li><p>The index is computed as the excess of the length of stay or readmit rates
over their respective expectations.</p></li>
</ul></div>
<div class="section level2">
<h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a></h2>
<p>Steven P. Sanderson II, MPH</p>
</div>
<div class="section level2">
<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://dplyr.tidyverse.org" class="external-link">dplyr</a></span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">data_tbl</span> <span class="op"><-</span> <span class="fu"><a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a></span><span class="op">(</span></span></span>
<span class="r-in"><span> <span class="st">"alos"</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/Uniform.html" class="external-link">runif</a></span><span class="op">(</span><span class="fl">186</span>, <span class="fl">1</span>, <span class="fl">20</span><span class="op">)</span></span></span>
<span class="r-in"><span> , <span class="st">"elos"</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/Uniform.html" class="external-link">runif</a></span><span class="op">(</span><span class="fl">186</span>, <span class="fl">1</span>, <span class="fl">17</span><span class="op">)</span></span></span>
<span class="r-in"><span> , <span class="st">"readmit_rate"</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/Uniform.html" class="external-link">runif</a></span><span class="op">(</span><span class="fl">186</span>, <span class="fl">0</span>, <span class="fl">.25</span><span class="op">)</span></span></span>
<span class="r-in"><span> , <span class="st">"readmit_bench"</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/Uniform.html" class="external-link">runif</a></span><span class="op">(</span><span class="fl">186</span>, <span class="fl">0</span>, <span class="fl">.2</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">)</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu">los_ra_index_summary_tbl</span><span class="op">(</span></span></span>
<span class="r-in"><span> .data <span class="op">=</span> <span class="va">data_tbl</span></span></span>
<span class="r-in"><span> , .max_los <span class="op">=</span> <span class="fl">15</span></span></span>
<span class="r-in"><span> , .alos_col <span class="op">=</span> <span class="va">alos</span></span></span>
<span class="r-in"><span> , .elos_col <span class="op">=</span> <span class="va">elos</span></span></span>
<span class="r-in"><span> , .readmit_rate <span class="op">=</span> <span class="va">readmit_rate</span></span></span>
<span class="r-in"><span> , .readmit_bench <span class="op">=</span> <span class="va">readmit_bench</span></span></span>
<span class="r-in"><span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># A tibble: 15 × 4</span></span>
<span class="r-out co"><span class="r-pr">#></span> los_group los_index rar_index los_ra_var</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span></span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 1</span> 1 0.134 1.56 1.42 </span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 2</span> 2 0.201 2.43 2.23 </span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 3</span> 3 0.310 1.3 0.990</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 4</span> 4 0.409 1.62 1.22 </span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 5</span> 5 0.546 1.08 0.538</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 6</span> 6 0.567 0.929 0.504</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 7</span> 7 0.793 1.08 0.290</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 8</span> 8 0.840 1.38 0.535</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 9</span> 9 0.780 1.22 0.442</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">10</span> 10 1.15 1.3 0.452</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">11</span> 11 1.16 1.3 0.455</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">12</span> 12 1.65 2.33 1.98 </span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">13</span> 13 1.55 1.33 0.881</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">14</span> 14 1.56 1.36 0.923</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">15</span> 15 2.16 1.27 1.43 </span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu">los_ra_index_summary_tbl</span><span class="op">(</span></span></span>
<span class="r-in"><span> .data <span class="op">=</span> <span class="va">data_tbl</span></span></span>
<span class="r-in"><span> , .max_los <span class="op">=</span> <span class="fl">10</span></span></span>
<span class="r-in"><span> , .alos_col <span class="op">=</span> <span class="va">alos</span></span></span>
<span class="r-in"><span> , .elos_col <span class="op">=</span> <span class="va">elos</span></span></span>
<span class="r-in"><span> , .readmit_rate <span class="op">=</span> <span class="va">readmit_rate</span></span></span>
<span class="r-in"><span> , .readmit_bench <span class="op">=</span> <span class="va">readmit_bench</span></span></span>
<span class="r-in"><span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># A tibble: 10 × 4</span></span>
<span class="r-out co"><span class="r-pr">#></span> los_group los_index rar_index los_ra_var</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span></span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 1</span> 1 0.134 1.56 1.42 </span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 2</span> 2 0.201 2.43 2.23 </span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 3</span> 3 0.310 1.3 0.990</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 4</span> 4 0.409 1.62 1.22 </span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 5</span> 5 0.546 1.08 0.538</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 6</span> 6 0.567 0.929 0.504</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 7</span> 7 0.793 1.08 0.290</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 8</span> 8 0.840 1.38 0.535</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;"> 9</span> 9 0.780 1.22 0.442</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">10</span> 10 1.72 1.4 1.12 </span>
<span class="r-in"><span></span></span>
</code></pre></div>
</div>
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