ArticleBMC geriatrics2019
A cross-sectional study examining convergent validity of a frailty index based on electronic medical records in a Canadian primary care program.
Article in BMC geriatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 29 citations in OpenAlex.
- FI-CGA and eFI-CGA in Frailty Care: a Scoping Review.Canadian geriatrics journal : CGJ · 2026Review
- The mediating pathways of frailty on healthcare costs and length of stay in older patients with colorectal cancer: a multicenter retrospective study.Frontiers in medicine · 2026Article
- Development and testing of an electronic frailty index using Canadian electronic medical record data in primary care.BMC primary care · 2025Article
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- Capturing factors associated with frailty using routinely collected electronic medical record data in British Columbia, Canada, primary care settings.Primary health care research & development · 2025Article
- Development and indirect validation of a model predicting frailty in the French healthcare claims database.Scientific reports · 2025Article
- Development and validation of an electronic frailty index in a national health maintenance organization.Aging · 2024Article
- Not All Frailty Assessments Are Created Equal: Comparability of Electronic Health Data-Based Frailty Assessments in Assessing Older People in Residential Care.Biological research for nursing · 2024Article
- Prognostic accuracy of 70 individual frailty biomarkers in predicting mortality in the Canadian Longitudinal Study on Aging.GeroScience · 2024Article
- Perspectives on the representation of frailty in the electronic frailty index.BMC primary care · 2024Article
- Construct validity of the electronic Veterans Affairs Frailty Index against clinician frailty assessment.Journal of the American Geriatrics Society · 2023Article
- Frailty detection among primary care older patients through the Primary Care Frailty Index (PC-FI).Scientific reports · 2023Article
- The Feasibility of Deriving the Electronic Frailty Index from Australian General Practice Records.Clinical interventions in aging · 2022Article
- Identifying Frail Patients by Using Electronic Health Records in Primary Care: Current Status and Future Directions.Frontiers in public health · 2022Review
- Web-based software applications for frailty assessment in older adults: a scoping review of current status with insights into future development.BMC geriatrics · 2021Article
- Development and Validation of an Electronic Frailty Index Using Routine Electronic Health Records: An Observational Study From a General Hospital in China.Frontiers in medicine · 2021Article
- The Convergent Validity of the electronic Frailty Index (eFI) with the Clinical Frailty Scale (CFS).Geriatrics (Basel, Switzerland) · 2020Article
- Development of Korean Frailty Index for Primary Care (KFI-PC) and Its Criterion Validity.Annals of geriatric medicine and research · 2020Article
- A Computerized Frailty Assessment Tool at Points-of-Care: Development of a Standalone Electronic Comprehensive Geriatric Assessment/Frailty Index (eFI-CGA).Frontiers in public health · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAn electronic frailty index (eFI) has been developed and validated in the UK; it uses data from primary care electronic medical records (EMR) for effective frailty case-finding in primary care. This project examined the convergent validity of the eFI from Canadian primary care EMR data with a validated frailty index based on comprehensive geriatric assessment (FI-CGA), in order to understand its potential use in the Canadian context.
methodsA cross-sectional validation study, using data from an integrated primary care research program for seniors living with frailty in Edmonton, AB. Eighty-five patients 65 years of age and older from six primary care physicians' practices were recruited. Patients were excluded if they were under 65 years of age, did not provide consent to participate in the program, or were living in a long term care facility at the time of enrolment. We used scatter plots to assess linearity and Pearson correlation coefficients to examine correlations.
resultsResults indicate a strong statistically significant correlation between the eFI and FI-CGA (r = 0.72, 95% CI 0.60-0.81, p < 0.001). A simple linear regression showed good ability of the eFI scores to predict FI-CGA scores (F (1,83) = 89.06, p < .0001, R2 = 0.51). Both indices were also correlated with age, number of chronic conditions and number of medications.
conclusionsThe study findings support the convergent validity of the eFI, which further justifies implementation of a case-finding tool that uses routinely collected primary care data in the Canadian context.
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