Ann Geriatr Med Res.  2020 Jun;24(2):62-74. 10.4235/agmr.20.0002.

Measuring Frailty in Health Care Databases for Clinical Care and Research

• Kim DH

• KMID: 2503331
• DOI: http://doi.org/10.4235/agmr.20.0002

Abstract

Considering the increasing burden and serious consequences of frailty in aging populations, there is increasing interest in measuring frailty in health care databases for clinical care and research. This review synthesizes the latest research on the development and application of 21 frailty measures for health care databases. Frailty measures varied widely in terms of target population (16 ambulatory, 1 long-term care, and 4 inpatient), data source (16 claims-based and 5 electronic health records [EHR]-based measures), assessment period (6 months to 36 months), data types (diagnosis codes required for 17 measures, health service codes for 7 measures, pharmacy data for 4 measures, and other information for 9 measures), and outcomes for validation (clinical frailty for 7 measures, disability for 7 measures, and mortality for 16 measures). These frailty measures may be useful to facilitate frailty screening in clinical care and quantify frailty for large database research in which clinical assessment is not feasible.

Keyword

Frailty; Healthcare administrative claims; Electronic health records