Evidence map›Paper›PMID 42585237›Full record

ArticlePloS one2026

External validation of model predicting healthcare costs using cohort study-derived and claims-derived predictor variables in community-dwelling older adults.

Lisa Langsetmo, John T Schousboe, Allyson M Kats, Brent C Taylor, Cynthia M Boyd, Kerry M Sheets, Kristine Ensrud

Abstract readValidation Study
In one paragraph

Article in PloS one, 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

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.

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Lisa LangsetmoDepartment of Medicine, University of Minnesota, Minneapolis, Minnesota, United States of America.ORCID https://orcid.org/0000-0003-2245-1657
John T SchousboeHealthPartners Institute, Bloomington, Minnesota, United States of America.ORCID https://orcid.org/0000-0002-9329-0750
Allyson M KatsDivision of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America.
Brent C TaylorDepartment of Medicine, University of Minnesota, Minneapolis, Minnesota, United States of America.
Cynthia M BoydSchool of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America.
Kerry M SheetsDepartment of Medicine, University of Minnesota, Minneapolis, Minnesota, United States of America.
Kristine EnsrudDepartment of Medicine, University of Minnesota, Minneapolis, Minnesota, United States of America.

Funding

The National Health and Trends StudyU01AG032947 · NIA · JOHNS HOPKINS UNIVERSITY · PI VICKI A. FREEDMAN, JENNIFER ANN SCHRACK · 2008 to 2026
$169.4M
Assessment of Frailty Phenotype and Functional Limitations to Improve Prediction of Subsequent Health Care Utilization in Older Community-Dwelling AdultsR01AG067973 · NIA · UNIVERSITY OF MINNESOTA · PI ENSRUD, KRISTINE · 2020 to 2023
$2.2M
NIA NIH HHS R01 AG067973NIA NIH HHS U01 AG032947
6 · The paper itself

Abstract

backgroundIn a pooled analysis of 4 prospective cohort studies linked with Medicare claims (2002-2011), claims-derived predictors and cohort-derived functional impairments and phenotypic frailty were associated with higher subsequent healthcare expenditures in community-dwelling beneficiaries.

objectiveDetermine calibration and discrimination of published cost prediction models among a nationally representative sample of US community-dwelling older adults in an independent sample (external validation) and at a different time-point (temporal validation).

designProspective cohort study.

settingNational Healthy Aging and Trends Study (NHATS) 2015 cohort.

participants3,322 community-dwelling NHATS participants enrolled in Medicare fee-for-service. MEASUREMENTS: Self-reported functional impairments (difficulty performing four activities of daily living) and frailty phenotype (operationalized using five components) derived from cohort data. Weighted (CMS Hierarchical Conditions Categories index) and unweighted (count of conditions) multimorbidity measures and frailty index derived from claims. Annualized healthcare costs ascertained for 36 months following 2015 examination. Cost ratios estimated from generalized linear models stratified by sex and adjusted for geographic region. Model calibration (predicted vs. observed costs by quintile) and discrimination (area under curve [AUC]) assessed.

resultsIn external and temporal validation cohorts, calibration was acceptable for all models with substantial agreement between predicted and observed costs. In the external cohort, the full model including claims- and cohort-derived variables had AUC = 0.78, 95% CI (0.74-0.82) in women and AUC = 0.77, 95% CI (0.73-0.81) in men, slightly higher than models limited to only claims-derived variables. Similar findings were noted in the temporal validation cohort.

conclusionsPerformance of a model predicting total healthcare costs including self-reported functional impairments and phenotypic frailty together with claims-derived cost indicators is similar in a new independent cohort and in a subset of the original cohort at a later time-point. These results support clinical assessment of these geriatric syndromes for predicting risk of subsequent healthcare burden.

Indexed as

Health Care CostsIndependent LivingActivities of Daily LivingAgedAged, 80 and overAging in PlaceCohort StudiesFemaleFrailtyHumansMaleMedicareProspective StudiesUnited States

Identifiers

PMID42585237
PMCPMC13465825

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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.