Evidence map›Paper›PMID 38814274›Full record

ArticleJournal of the American Geriatrics Society2024

A comparison of dementia diagnoses and cognitive function measures in Medicare claims and the Minimum Data Set.

Joshua D Niznik, Jennifer L Lund, Laura C Hanson, Cathleen Colón-Emeric, Casey J Kelley, Meredith Gilliam, Carolyn T Thorpe

Abstract readComparative Study
In one paragraph

Article in Journal of the American Geriatrics Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Drug-Drug Interactions in Nursing Home Residents With vs Without Dementia.Journal of the American Medical Directors Association · 2026
    Observational
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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

7 authors.

Joshua D NiznikDivision of Geriatric Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0003-1466-5751
Jennifer L LundDepartment of Epidemiology, University of North Carolina at Chapel Hill Gillings School of Global Public Health, Chapel Hill, North Carolina, USA.
Laura C HansonDivision of Geriatric Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-5120-6058
Cathleen Colón-EmericDivision of Geriatrics, Duke University School of Medicine, Durham, North Carolina, USA.
Casey J KelleyCenter for Aging and Health, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-7770-1639
Meredith GilliamDivision of Geriatric Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Carolyn T ThorpeDivision of Pharmaceutical Outcomes and Policy, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Funding

Training Core (I)U54AG063546 · NIA · BROWN UNIVERSITY · PI Daniella Meeker · 2019 to 2026
$125.9M
Palliative Care for Persons with Late-stage Alzheimer's and Related Dementias and their Caregivers: a Randomized Clinical TrialR01AG065394 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HANSON, LAURA C · 2020 to 2024
$4.5M
Deprescribing Bisphosphonates in Older Nursing Home Residents with DementiaK08AG071794 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NIZNIK, JOSHUA DAVID · 2021 to 2025
$724k
NIA NIH HHS K08 AG071794NIA NIH HHS K08AG071794NIA NIH HHS R01 AG065394NIA NIH HHS R01AG065394NIA NIH HHS U54 AG063546NIA NIH HHS U54AG063546
6 · The paper itself

Abstract

backgroundGold standard dementia assessments are rarely available in large real-world datasets, leaving researchers to choose among methods with imperfect but acceptable accuracy to identify nursing home (NH) residents with dementia. In healthcare claims, options include claims-based diagnosis algorithms, diagnosis indicators, and cognitive function measures in the Minimum Data Set (MDS), but few studies have compared these. We evaluated the proportion of NH residents identified with possible dementia and concordance of these three.

methodsUsing a 20% random sample of 2018-2019 Medicare beneficiaries, we identified MDS admission assessments for non-skilled NH stays among individuals with continuous enrollment in Medicare Parts A, B, and D. Dementia was identified using: (1) Chronic Conditions Warehouse (CCW) claims-based algorithm for Alzheimer's disease and non-Alzheimer's dementia; (2) MDS active diagnosis indicators for Alzheimer's disease and non-Alzheimer's dementias; and (3) the MDS Cognitive Function Scale (CFS) (at least mild cognitive impairment). We compared the proportion of admissions with evidence of possible dementia using each criterion and calculated the sensitivity, specificity, and agreement of the CCW claims definition and MDS indicators for identifying any impairment on the CFS.

resultsAmong 346,013 non-SNF NH admissions between 2018 and 2019, 57.2% met criteria for at least one definition (44.7% CFS, 40.7% CCW algorithm, 26.0% MDS indicators). The MDS CFS uniquely identified the greatest proportion with evidence of dementia. The CCW claims algorithm had 63.7% sensitivity and 78.1% specificity for identifying any cognitive impairment on the CFS. Active diagnosis indicators from the MDS had lower sensitivity (47.0%), but higher specificity (91.0%).

conclusionsClaims- and MDS-based methods for identifying NH residents with possible dementia have only partial overlap in the cohorts they identify, and neither is an obvious gold standard. Future studies should seek to determine whether additional functional assessments from the MDS or prescriptions can improve identification of possible dementia in this population.

Indexed as

DementiaMedicareNursing HomesAgedAged, 80 and overAlgorithmsAlzheimer DiseaseCognitionCognitive DysfunctionFemaleHomes for the AgedHumansInsurance Claim ReviewMaleUnited Statesdementiaepidemiologymedicarenursing home

Identifiers

PMID38814274
PMCPMC11323171

What OpenQuestion holds

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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.