APPLICATION OF THE CLAIM-BASED FRAILTY INDEX (CFI) TO STRUCTURED ELECTRONIC HEALTH RECORD (EHR) DATA
2024

Using a Frailty Index with Electronic Health Records

Sample size: 52395 publication Evidence: moderate

Author Information

Author(s): Kwak Min Ji, Schaefer Caroline, Kim Youngran, Fu Sunyang, Dhoble Abhjieet, Rianon Nahid, Holmes Holly, Kim Dae Hyun

Primary Institution: McGovern Medical School, Houston, Texas, United States

Hypothesis

Can the claim-based frailty index (CFI) be effectively applied to structured electronic health record (EHR) data?

Conclusion

The study suggests that the CFI can be implemented in EHR data to predict adverse clinical events in heart failure patients.

Supporting Evidence

  • The CFI from Medicare claims showed a right-skewed distribution with a mode of 0.210.
  • The CFI from Explorys data had a mode of 0.186 and a narrower distribution.
  • When frailty was defined as CFI ≥0.25, Explorys data identified fewer cases of frailty (18.1% vs 42.4% in Medicare claims).
  • CFI from Explorys data had better discrimination in predicting hospital admission or emergency room visits (C-statistic: 0.636 vs 0.608 in Medicare claims).

Takeaway

Researchers wanted to see if a tool for measuring frailty could work with electronic health records, and they found it can help predict health problems in older patients with heart failure.

Methodology

The study compared the CFI calculated from structured EHR data with that from Medicare claims for older adults with heart failure.

Limitations

The study only focused on older adults with heart failure and may not be generalizable to other populations.

Participant Demographics

Older adults (≥65 years old) with heart failure.

Digital Object Identifier (DOI)

10.1093/geroni/igae098.1260

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