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

1 to 10 of 47 Results
MS Word - 215.5 KB - MD5: 439729a39bee9633990321a3f50e4cad
MS Word - 215.5 KB - MD5: 439729a39bee9633990321a3f50e4cad
MS Word - 215.5 KB - MD5: 439729a39bee9633990321a3f50e4cad
MS Word - 215.5 KB - MD5: 439729a39bee9633990321a3f50e4cad
MS Word - 215.5 KB - MD5: 439729a39bee9633990321a3f50e4cad
Unknown - 3.3 MB - MD5: d312e18f5f40c06a9f08c888cd7c3248
Plain Text - 1.7 KB - MD5: f5bb7419ec35b6e7504f206da1d2f7d6
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==
Python Source Code - 4.9 KB - MD5: 15efa2b400dc6f020e9cc56110b3a70e
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.