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Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty
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FI-CGA and eFI-CGA in Frailty Care: a Scoping Review.

Xiaowei Song1,2,3, Barry Clarke2, Grace Park4

  • 1Clinical Research and Evaluation, Fraser Health Authority, Surrey, BC.

Canadian Geriatrics Journal : CGJ
|May 29, 2026
PubMed
Summary
This summary is machine-generated.

Comprehensive geriatric assessment (CGA) and its electronic version (eCGA) effectively predict adverse health outcomes. Digital tools enhance frailty management, promoting healthy aging across care settings.

Keywords:
Clinical Frailty Scale (CFS)Comprehensive Geriatric Assessment (CGA)Frailty Index (FI)acute careearly managementelectronic Comprehensive Geriatric Assessment (eCGA)electronic Frailty Index based on Comprehensive Geriatric Assessment (eFI-CGA)frailtyhealthy aginglong-term careprimary care

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Area of Science:

  • Gerontology
  • Digital Health
  • Health Services Research

Background:

  • Comprehensive Geriatric Assessment (CGA) is the gold standard for frailty assessment, generating a Frailty Index (FI-CGA).
  • Electronic CGA (eCGA) integrates into digital platforms for automated data coding and Frailty Index (eFI-CGA) generation.
  • Frailty assessment is crucial for diagnosing and managing older adults' health needs.

Purpose of the Study:

  • To review two decades of research on Frailty Index (FI-CGA), eCGA, and eFI-CGA development, validation, and application.
  • To synthesize evidence on the effectiveness and implementation of digital frailty assessment tools.
  • To identify future research directions for advancing frailty care.

Main Methods:

  • Systematic literature review following PRISMA-ScR guidelines.
  • Searched MEDLINE and CINAHL databases for English publications (2004-July 2025).
  • Included 38 studies, synthesizing data descriptively and thematically.

Main Results:

  • FI-CGA is a reliable predictor of adverse outcomes like mortality and hospitalization.
  • Digital adaptations (eCGA, eFI-CGA) improve feasibility, accuracy, and workflow in various care settings.
  • Transition to eCGA represents a significant step toward scalable frailty care, enabling earlier detection and personalized interventions.

Conclusions:

  • Digital eCGA and eFI-CGA tools can enhance frailty identification and management across healthcare settings.
  • Further research is needed for population-specific validation and leveraging technology for advanced frailty care.
  • These digital tools hold promise for promoting healthy aging through improved frailty care.