ArticleAging2024
Development and validation of an electronic frailty index in a national health maintenance organization.
Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
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Who cites it
7 citing papers in PubMed.
- Article
- Admission characteristics and factors associated with outcomes in elderly patients aged 75 years and older in a level 3 ICU in Nepal: a 4-year registry-based retrospective study.Acute and critical care · 2026Article
- The importance of comprehensive geriatric assessment in predicting the outcome of patients with proximal humerus fractures.Aging clinical and experimental research · 2026Article
- Anti-HER2 treatment in everyday practice: how we treat older women with breast cancer differently.Breast cancer research and treatment · 2026Article
- Selection of an Appropriate Tool for Assessing Geriatric Frailty in Clinical Practice: A Narrative Review.Clinical interventions in aging · 2026Review
- Article
- Developing an Electronic Frailty Index (eFI) and a biological age trajectory with a cohort of over one million older adults in Hong Kong.The Journal of frailty & aging · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFrailty constitutes a major factor that puts the elderly at risk of health and functional deterioration.
objectivesTo develop and validate an Electronic Frailty Index based on electronic data routinely collected in the HMO. STUDY DESIGN AND
settingA retrospective cohort of the HMO members.
participants120,986 patients, aged 65 years and over at the beginning of 2023. PREDICTORS: A cumulative frailty index including 36 medical, functional, and social deficits. OUTCOMES: One-year all-cause mortality or hospitalization. STATISTICAL ANALYSIS: One-year hazard ratios were estimated for composite outcome of mortality or hospitalization using multivariable hierarchical Cox regression.
resultsThe mean EFI score increased with the Social Security Nursing Benefit. Compared to fit patients, mild, moderate, and severe frailty patients had 2.07, 3.35, and 4.4-fold increased risks of mortality or hospitalization, after controlling for covariates.
conclusionsThe findings showed that the Electronic Frailty Index version we created is valid in predicting mortality or hospitalization. In addition, the Electronic Frailty Index converged with an independent measurement produced by National Social Security.
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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.