prepared_data

<p>A dataset which has been prepared using the prepare_data function in this package.</p>

datasets

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

prepared_data function

<p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 242 rows and 5 columns.</p>

prepared_data: Prepared dataset

Description

Usage

Arguments

Format