Evidence map›Paper›PMID 41742079›Full record

ArticleBMC geriatrics2026

Electronic frailty index based on comprehensive geriatric assessment in primary care: feasibility, validity, and reliability.

Xiaowei Song, Grace Park, Barry Clarke, Samuel D Searle, Belinda Robinson, Hilary Low, Jodie Penwarden, Kaitlin Harding, Sherri Fay, Margaret Cm Lin and 6 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in BMC geriatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. FI-CGA and eFI-CGA in Frailty Care: a Scoping Review.Canadian geriatrics journal : CGJ · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Xiaowei SongClinical Research and Evaluation, Fraser Health Authority, Surrey, BC, Canada. xiaowei.song@fraserhealth.ca.
Grace Park *Home and Community Care, Fraser Health Authority, Surrey, BC, Canada.
Barry Clarke *Primary Care, Nova Scotia Health, Halifax, NS, Canada.
Samuel D SearleDepartment of Medicine (Geriatric Medicine), Dalhousie University, Halifax, NS, Canada.
Belinda RobinsonGeriatric Medicine, Fraser Health Authority, New Westminster, British Columbia, Canada.
Hilary LowClinical Research and Evaluation, Fraser Health Authority, Surrey, BC, Canada.
Jodie PenwardenGeriatric Medicine Research Unit, QEII Health Sciences Centre, Halifax, NS, Canada.
Kaitlin HardingClinical Research and Evaluation, Fraser Health Authority, Surrey, BC, Canada.
Sherri FayGeriatric Medicine Research Unit, QEII Health Sciences Centre, Halifax, NS, Canada.
Margaret Cm LinHome and Community Care, Fraser Health Authority, Surrey, BC, Canada.
Melissa K AndrewDepartment of Medicine (Geriatric Medicine), Dalhousie University, Halifax, NS, Canada.
Anson LiGeriatric Medicine, Fraser Health Authority, New Westminster, British Columbia, Canada.
Valerie LewisPrimary Care, Nova Scotia Health, Halifax, NS, Canada.
Paul FluitHome and Community Care, Fraser Health Authority, Surrey, BC, Canada.
Olga TheouGeriatric Medicine Research Unit, QEII Health Sciences Centre, Halifax, NS, Canada.
Kenneth RockwoodDepartment of Medicine (Geriatric Medicine), Dalhousie University, Halifax, NS, Canada. kenneth.rockwood@nshealth.ca.

Funding

CIHR CIHR PJT-156210Surrey Hospitals Foundation FHA-G2017-001
6 · The paper itself

Abstract

backgroundTo aid frailty management in primary care we developed an electronic Frialty Index based on a Comprehensive Geriatric Assessment (eFI-CGA). Here we report the feasibility, validity, and reliability of the eFI-CGA when conducted in primary care.

methodsTo assay feasibility, we measured assessment completion rate and time required. We tested validity by analyzing the content and characteristics of the eFI-CGA, its associations with age and the Clinical Frailty Scale (CFS), and prediction of three-year adverse outcomes. Reliability was evaluated by having primary care providers and geriatricians independently assess patients at baseline and at six months, yielding inter- and intra-rater estimates, as well as validity compared with a reference standard.

resultsCommunity-dwelling older adults from 27 clinics were enrolled (n = 281; 65% females). The eFI-CGA showed a four-factor structure, including function/mobility, psychological/social, cognition, and physical/medical problems. The eFI-CGA and CFS scores were moderately correlated: r = 0.65 (95% confidence intervals (CI): 0.56 − 0.72). The age − eFI-CGA correlation (r) was modest (r = 0.22; CI: 0.10 − 0.34). Each 0.01 eFI-CGA increment was associated with a Hazard Ratio (HR) of 1.04 for three-year mortality (CI: 1.02 − 1.06). The eFI-CGA discriminated individuals with an adverse outcome with 75% accuracy (CI: 68%−82%). The eFI-CGA conducted by geriatricians and primary care providers showed comparable characteristics and predictive capacities. Inter-rater intraclass correlation coefficients (ICCs) were high: 0.91 (CI: 0.84 − 0.94) baseline) and 0.87 (CI: 0.80 − 0.92) follow-up. Intra-rater ICCs were excellent 0.95 (CI: 0.92 − 0.97) for geriatricians and 0.93 (CI: 0.89 − 0.96) for primary care providers.

conclusionsFrailty assessment using the eFI-CGA is feasible, valid, and reliable in primary care settings. Larger studies are needed to evaluate its generalizability.

Indexed as

Frail ElderlyFrailtyGeriatric AssessmentPrimary Health CareAgedAged, 80 and overFeasibility StudiesFemaleHumansMaleReproducibility of ResultsCommunity-dwelling older adultsComprehensive Geriatric Assessment (CGA)Electronic Frailty Index (eFI)Outcome predictionProspective cohort

Identifiers

PMID41742079
PMCPMC13041420

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.