Claims-based frailty index (CFI) estimates a deficit-accumulation frailty index using International Classification of Diseases (ICD) diagnosis codes, Current Procedural Terminology (CPT) codes, and Healthcare Common Procedure Coding System (HCPCS) codes in the prior 12 months in administrative claims data.


Please refer to "Research Background - Claims-Based Frailty Index" file within each sub-dataverse for interpretation, validation data against clinical measures and health outcomes, and annotated references. Refer to "Frailty Index Code Guide" file to implement CFI algorithms in different statistical softwares and programming languages.

The original SAS program was developed and validated by Dr. Kim and his team at the Brigham and Women's Hospital Division of Pharmacoepidemiology and Pharmacoeconomics, supported by National Institute on Aging (grants K08 AG051187 and R01 AG062713). Programs in Stata, R, Python, and Java were developed by Westat and VillageMD and are based on the original SAS program.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

31 to 40 of 47 Results
R Syntax - 4.1 KB - MD5: 7d7c26d0c66bbe69c5ecf65574a4140f
Plain Text - 1.1 KB - MD5: 9976bc84c669f021fb7e50e56f0b6b56
Plain Text - 3.2 MB - MD5: 882a48f1fc821ed202c4ea6f62bd0401
Plain Text - 5.1 MB - MD5: 7e747d123f4b29449f3172c7d87cf2b7
Plain Text - 241.2 KB - MD5: 20bab00c2ab35720f674b4a8af7ba321
Plain Text - 2.4 KB - MD5: 066d95d401cc5a56ec512061007c541c
Plain Text - 8.5 MB - MD5: de0fd6127f21e32aec0b98237e5aea80
MS Word - 19.0 KB - MD5: 36c9281acb87e05ec8ff06572979c080
Tabular Data - 2.0 MB - 4 Variables, 27621 Observations - UNF:6:61zPcw/pRbSxAuT7FEV5RQ==
Tabular Data - 322.3 KB - 4 Variables, 6960 Observations - UNF:6:e6GRaSXKB8J5tRGj+CNPpg==
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.