Evidence map›Paper›PMID 42550179›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2026

Evaluating frailty index integrity: insights from an international network study.

Robert Cavanaugh, Chelsea Wong, Louisa H Smith, Maytal Bivas-Benita, Pinchas Akiva, Tal El-Hay, Ariela R Orkaby, Chen Yanover, Brianne Olivieri-Mui

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Robert CavanaughMGH Institute of Health Professions, Boston, Massachusetts, United States.ORCID 0000-0002-2114-6565
Chelsea WongNortheastern University, Boston, Massachusetts, United States.ORCID 0000-0003-4315-3923
Louisa H SmithThe Roux Institute, Northeastern University, Portland, Maine, United States.ORCID 0000-0001-9029-4644
Maytal Bivas-BenitaKI Research Institute, Kfar Malal, Israel.ORCID 0009-0002-9482-1936
Pinchas AkivaKI Research Institute, Kfar Malal, Israel.ORCID 0000-0003-1535-5536
Tal El-HayKI Research Institute, Kfar Malal, Israel.ORCID 0000-0002-2156-1558
Ariela R OrkabyNew England GRECC (Geriatric Research, Education and Clinical Center), VA Boston Healthcare System, Boston, Massachusetts, United States.ORCID 0000-0002-4297-6306
Chen YanoverKI Research Institute, Kfar Malal, Israel.ORCID 0000-0003-3663-4286
Brianne Olivieri-MuiThe Roux Institute, Northeastern University, Portland, Maine, United States.ORCID 0000-0001-6739-2019

Funding

Understanding antiretroviral adherence changes from the community to the nursing homeK01AG077972 · NIA · NORTHEASTERN UNIVERSITY · PI Brianne Olivieri-Mui · 2022 to 2026
$616k
NIA NIH HHS K01 AG077972NIA NIH HHS K01AG077972NIH HHS
6 · The paper itself

Abstract

backgroundDeficit-accumulation frailty indices (FIs) have rapidly been integrated into health systems worldwide to quantify the state of reduced physiologic reserve to recover from a health insult in the aging population. Common data models (CDMs) have further enabled international, interinstitutional applications of FIs. However, the validity of such applications is unknown. The objective of this study was to evaluate the validity of 2 common FIs across disparate contexts.

methodsWe conducted an international network study comparing estimates of frailty prevalence from 2 electronic health record (EHR)-based FIs: United States-based Veterans Affairs FI (VAFI) and United Kingdom-based electronic FI (eFI) across 5 research and clinical databases. United States: All of Us (n = 159 721), IQVIA Pharmetrics+ (n = 5 099 557); United Kingdom: IMRD-THIN (n = 3 036 003), IMRD-EMIS (n = 832 455), and BioBank (n = 207 202).

resultsIn US databases, VAFI identified higher proportions of frailty ([VAFI; eFI] All of US: 10.3%; 2.5%, Pharmetrics+: 9.6%; 2%) while in UK databases, the eFI identified higher proportions (IMRD-THIN: <0.003%; 0.08%, IQVIA-EMIS: 0.09%; 0.4%, UK BioBank: 0.03%; 0.1%). Additional manipulations (alternative lookback periods, FI variations) were examined.

conclusionsFrailty prevalence across databases and indices was inconsistent with expected frailty measurement trends. FIs are likely dependent on their development context, such as local coding behaviors and incentives, limiting their external validity despite CDM harmonization. We suggest caution in the application of FIs outside of their development context and recommend further instrument development before more widespread application of FIs using CDMs.

Indexed as

FrailtyGeriatric AssessmentAgedAged, 80 and overDatabases, FactualElectronic Health RecordsFemaleHumansMalePrevalenceUnited KingdomUnited StatesEpidemiologyFrailtyHealth services

Identifiers

PMID42550179
PMCPMC13527868

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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.