Evidence map›Paper›PMID 38421151›Full record

ArticleAge and ageing2024

New horizons in frailty identification via electronic frailty indices: early implementation lessons from experiences in England and the United States.

Ariela R Orkaby, Kathryn E Callahan, Jane A Driver, Kristian Hudson, Andrew J Clegg, Nicholas M Pajewski

Open access · greenAbstract read
In one paragraph

Article in Age and ageing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
9.3field-weighted citation impact, top 1% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Relative impact of multidomain lifestyle interventions on deficit accumulation frailty over 24 months in the U.S. POINTER trial.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Trial
  3. Article
  4. Updating and validating the Figueroa Frailty Index: transitioning from ICD-9 to ICD-10.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  5. Article
  6. FI-CGA and eFI-CGA in Frailty Care: a Scoping Review.Canadian geriatrics journal : CGJ · 2026
    Review
  7. Review
  8. Article
  9. What Do We Know About Prevention of Frailty in Women?American journal of lifestyle medicine · 2025
    Review
  10. Application of Pragmatic Criteria to Assessments of Frailty and Physical Function Among People With HIV.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
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

6 authors at 5 institutions in 3 countries.

Ariela R OrkabyNew England Geriatric Research, Education, and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA.
Kathryn E CallahanSection on Geriatrics and Gerontologic Medicine, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Jane A DriverNew England Geriatric Research, Education, and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA.
Kristian HudsonThe Improvement Academy, Bradford Institute for Health Research, Bradford, UK.
Andrew J CleggAcademic Unit for Ageing & Stroke Research, University of Leeds, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
Nicholas M PajewskiDepartment of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Bradford Teaching Hospitals NHS Foundation Trust · GBBrigham and Women's Hospital · USGeriatric Research Education and Clinical Center · USNational Center for Geriatrics and Gerontology · JPWake Forest University · US

Funding

Training Core (I)U54AG063546 · NIA · BROWN UNIVERSITY · PI JASON H KARLAWISH · 2019 to 2026
$125.9M
Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Jamie Nicole Justice · 2002 to 2026
$36.4M
Identifying Frailty in Primary Care: Implementation of an Electronic Medical Record-based Frailty IndexK76AG059986 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI CALLAHAN, KATHRYN · 2018 to 2022
$1.2M
Frailty, Statins, and Cardiovascular Disease Burden in Older AdultsR03AG060169 · NIA · HARVARD MEDICAL SCHOOL · PI ORKABY, ARIELA R · 2018 to 2019
$193k
Statins for Primary Prevention of Cardiovascular Disease and FrailtyIK2CX001800 · VA · VA BOSTON HEALTH CARE SYSTEM · PI ORKABY, ARIELA R · 2019 to 2023
–
CSRD VA IK2 CX001800NIA NIH HHS K76 AG059986NIA NIH HHS K76AG059986NIA NIH HHS P30 AG021332NIA NIH HHS P30AG021332NIA NIH HHS R03 AG060169NIA NIH HHS R03-AG060169NIA NIH HHS U54 AG063546
6 · The paper itself

Abstract

Frailty represents an integrative prognostic marker of risk that associates with a myriad of age-related adverse outcomes in older adults. As a concept, frailty can help to target scarce resources and identify subgroups of vulnerable older adults that may benefit from interventions or changes in medical management, such as pursing less aggressive glycaemic targets for frail older adults with diabetes. In practice, however, there are several operational challenges to implementing frailty screening outside the confines of geriatric medicine. Electronic frailty indices (eFIs) based on the theory of deficit accumulation, derived from routine data housed in the electronic health record, have emerged as a rapid, feasible and valid approach to screen for frailty at scale. The goal of this paper is to describe the early experience of three diverse groups in developing, implementing and adopting eFIs (The English National Health Service, US Department of Veterans Affairs and Atrium Health-Wake Forest Baptist). These groups span different countries and organisational complexity, using eFIs for both research and clinical care, and represent different levels of progress with clinical implementation. Using an implementation science framework, we describe common elements of successful implementation in these settings and set an agenda for future research and expansion of eFI-informed initiatives.

Indexed as

FrailtyAgedElectronic Health RecordsEnglandFrail ElderlyHumansState MedicineUnited Statesdeficit accumulationelectronic health recordfrailtyimplementation scienceolder peoplepopulation health management

Identifiers

PMID38421151
PMCPMC10903644
OpenAlexW4392280834

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.