Skip to main content
. 2020 Apr 3;24(2):62–74. doi: 10.4235/agmr.20.0002

Table 2.

Frailty measures for electronic health records

Author (y) Database/population (study year) Outcomes Predictors
Development Validation
Clinical knowledge-driven selection Clegg et al.35) (2016) Primary care EHR database (UK) Not applicable Mortality Proportion of 36 health deficits present based on Read codes (codes for diagnosis, procedure, disability, and social circumstances) and polypharmacy
- ResearchOne database (2008–2016)35,70,75) Hospitalization
- THIN database (2008–2013)35,73) NH admission
- CPRD database (2001–2009)71,72 Fracture
Primary care EHR database, Australia Frailty phenotype
- A primary care clinic59)
Lekan et al.65) (2017) A tertiary-care hospital EHR database (USA) Not applicable Mortality Includes 16 biopsychosocial factors including 4 laboratory tests
- Inpatients (2010–2011)65,66) Readmission
SNF stay
Anzaldi et al.67) (2017) A regional health system EHR database (USA) Not applicable Geriatric syndromes identified using diagnosis codes and text phrases Mention of “frailty” in clinical notes
- Medicare ACO enrollees (2011–2013)67)
Pajewski et al.68) (2019) A regional health system EHR database (USA) Not applicable Mortality Includes 54 health deficits based on diagnosis codes, smoking status, vital signs, laboratory tests, and functional status
- Medicare ACO enrollees (2014–2016)68) Falls
Health care utilization
Data-driven selection without a reference standard Shao et al.69) (2017) VA EHR database (USA) Topics generated from clinical notes Mortality Includes 53 topics generated from clinical notes
- Heart failure patients (2010)69) Hospitalization

ACO, accountable care organization; CPRD, Clinical Practice Research Datalink; EHR, electronic health records; NH, nursing home; SNF, skilled nursing facility; THIN, The Health Improvement Network; VA, Veterans Affairs.