comorbidity_window

<code>comorbidity_window</code> returns a dataset of claims which fall within a specific timeframe.

Identifying comorbidities, frailty, and multimorbidity in claims
and administrative data is often a duplicative process.
The functions contained in this package are meant to first prepare the data to a format
acceptable by all other packages, then provide a uniform and simple approach to
generate comorbidity and multimorbidity metrics based on these claims data. The package
is ever evolving to include new metrics, and is always looking for new measures to include.
The citations used in this package include the following publications:
Anne Elixhauser, Claudia Steiner, D. Robert Harris, Rosanna M. Coffey (1998) <doi:10.1097/00005650-199801000-00004>,
Brian J Moore, Susan White, Raynard Washington, et al. (2017) <doi:10.1097/MLR.0000000000000735>,
Mary E. Charlson, Peter Pompei, Kathy L. Ales, C. Ronald MacKenzie (1987) <doi:10.1016/0021-9681(87)90171-8>,
Richard A. Deyo, Daniel C. Cherkin, Marcia A. Ciol (1992) <doi:10.1016/0895-4356(92)90133-8>,
Hude Quan, Vijaya Sundararajan, Patricia Halfon, et al. (2005) <doi:10.1097/01.mlr.0000182534.19832.83>,
Dae Hyun Kim, Sebastian Schneeweiss, Robert J Glynn, et al. (2018) <doi:10.1093/gerona/glx229>,
Melissa Y Wei, David Ratz, Kenneth J Mukamal (2020) <doi:10.1111/jgs.16310>,
Kathryn Nicholson, Amanda L. Terry, Martin Fortin, et al. (2015) <doi:10.15256/joc.2015.5.61>,
Martin Fortin, José Almirall, and Kathryn Nicholson (2017)<doi:10.15256/joc.2017.7.122>.

Wyatt Bensken

multimorbidity

Harmonizing Various Comorbidity, Multimorbidity, and Frailty
Measures

comorbidity_window function

<dl><dt>dat</dt>
<dd>dataset</dd>
<dt>id_dat</dt>
<dd>dataset with our other identifying variables, this should be 1 row per person</dd>
<dt>id</dt>
<dd>ID variable which will be used to match and merge</dd>
<dt>id_date</dt>
<dd>name of the date of interest from the identification dataset, for example a date of diagnosis</dd>
<dt>claims_date</dt>
<dd>name for the variable in the claims data (dat) which is the date of the claim</dd>
<dt>time_pre</dt>
<dd>number to limit how many days, pre diagnosis, should be included. Default will be
infinity (all claims)</dd>
<dt>time_post</dt>
<dd>similar to time_pre, but this will be after the date of interest</dd></dl>

Arguments

Limit our comorbidities / multimorbidity measures to a specific time window. — comorbidity_window

<dl>

<dt>dat</dt>
<dd>dataset</dd>


<dt>id_dat</dt>
<dd>dataset with our other identifying variables, this should be 1 row per person</dd>


<dt>id</dt>
<dd>ID variable which will be used to match and merge</dd>


<dt>id_date</dt>
<dd>name of the date of interest from the identification dataset, for example a date of diagnosis</dd>


<dt>claims_date</dt>
<dd>name for the variable in the claims data (dat) which is the date of the claim</dd>


<dt>time_pre</dt>
<dd>number to limit how many days, pre diagnosis, should be included. Default will be
infinity (all claims)</dd>


<dt>time_post</dt>
<dd>similar to time_pre, but this will be after the date of interest</dd>

</dl>

comorbidity_window: Limit our comorbidities / multimorbidity measures to a specific time window.

Description

Usage

Value

Arguments

Details

Examples