Evidence map›Paper›PMID 42635557›Full record

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

Identification of prevalent dementia in Medicare Advantage encounters, compared with rigorous cohort assessments.

Yi Chen, Slim Benloucif, Bryan D James, Mousumi Banerjee, Francine Grodstein, Julie P W Bynum

Abstract readComparative Study
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

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yi ChenRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, United States.ORCID 0009-0005-1045-0501
Slim BenloucifDepartment of Internal Medicine, School of Medicine, University of Michigan, Ann Arbor, Michigan, United States.
Bryan D JamesRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, United States.ORCID 0000-0003-1932-151X
Mousumi BanerjeeDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States.
Francine GrodsteinRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, United States.
Julie P W BynumDepartment of Internal Medicine, School of Medicine, University of Michigan, Ann Arbor, Michigan, United States.

Funding

SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
Rush Alzheimer's Disease Research CenterP30AG072975 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI Lisa L Barnes, Julie A. Schneider · 2021 to 2026
$24.7M
Risk Factors for Cognitive Decline in African-AmericansR01AG022018 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BARNES, LISA L · 2004 to 2025
$18.2M
Pilot CoreP30AG066582 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Julie PW Bynum · 2020 to 2026
$7.2M
Use of Healthcare Across the Full Continuum of Cognitive Health and Decline in Older AdultsR01AG079226 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI Julie PW Bynum, FRANCINE GRODSTEIN · 2022 to 2026
$3.1M
NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG066582NIA NIH HHS P30AG066582NIA NIH HHS P30 AG072975NIA NIH HHS P30AG072975NIA NIH HHS P30AG10161NIA NIH HHS R01 AG017917NIA NIH HHS R01AG017917NIA NIH HHS R01 AG022018NIA NIH HHS R01AG022018NIA NIH HHS R01 AG079226NIA NIH HHS R01AG079226
6 · The paper itself

Abstract

backgroundRapid growth in Medicare Advantage (MA) enrollment has spurred dementia research using diagnoses in MA encounter data. However, the validity of MA-encounter-based dementia diagnoses is uncertain.

methodsUsing four cohort studies at the Rush Alzheimer's Disease Center linked to Medicare data from 2017-19, we validated prevalent dementia indicators in MA encounter data, based on the Bynum-Standard algorithm, against dementia status determined by rigorous cognitive assessment in the cohort studies. We replicated analyses among participants in Traditional Medicare (TM).

resultsOf the 508 eligible MA enrollees, mean age was 82.8 (SD = 7.2) years, 81% were female, and 49% were non-Latino White; 62 participants (12%) were classified as having dementia by the cohort assessment. MA-encounter-based dementia indicators performed reasonably well in identifying participants with cohort-assessed dementia: using encounters alone, positive predictive value was 63% (95% CI: 52%-75%), negative predictive value was 96% (95% CI: 94%-98%), and accuracy was 92% (95% CI: 89%-94%). Inclusion of chart reviews did not impact performance. Compared to TM-based indicators during the same period, MA-based indicators yielded similar validity metrics but identified a less functionally impaired group as having dementia. In secondary validation analysis of mild cognitive impairment (MCI), sensitivity was low.

conclusionsAs one of the first studies to validate dementia diagnoses in MA encounter data, indicators based on the Bynum-Standard algorithm can be a valid tool for identifying prevalent dementia. Findings support the use of MA-encounter-based dementia indicators for research within MA. However, observed health differences between MA- and TM-identified dementia groups suggest potential for selection bias in MA plans.

Indexed as

DementiaMedicare Part CAgedAged, 80 and overAlgorithmsCohort StudiesFemaleHumansMalePrevalenceUnited StatesDementiaMedicare AdvantageMild cognitive impairmentRisk adjustment

Identifiers

PMID42635557
PMCPMC13589606

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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.