Evidence map›Paper›PMID 42211564›Full record

ArticleHealth affairs scholar2026

Dementia diagnostic deserts: workforce and geographic inequities in the diagnostic pathway for cognitive impairment.

Zhijing Xu, Ying Xue, Yaguang Zheng, Bei Wu

Abstract read
In one paragraph

Article in Health affairs scholar, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Zhijing XuRory Meyers College of Nursing, New York University, New York, NY 10010, United States.ORCID https://orcid.org/0000-0002-4044-9609
Ying XueSchool of Nursing, University of Rochester, Rochester, NY 14642, United States.
Yaguang ZhengRory Meyers College of Nursing, New York University, New York, NY 10010, United States.ORCID https://orcid.org/0000-0002-8400-1398
Bei WuDivision of Arts and Sciences, New York University Shanghai, Shanghai 200126, China.ORCID https://orcid.org/0000-0002-6891-244X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As disease-modifying therapies for Alzheimer's disease become available, ensuring equitable access to timely and accurate diagnosis of cognitive impairment is critical. This article conceptualizes "dementia diagnostic deserts," defined as geographic areas where rurality, primary care professional shortages, and high social deprivation converge to exacerbate access to the diagnostic continuum, from initial screening and comprehensive evaluation to the appropriate referral for specialist-based diagnostic confirmation. Using a multidimensional framework, we identify "Triple Disadvantage Zones" where these barriers intersect most severely, leading to diagnostic errors, characterized by failure to differentiate subjective complaints from objective impairment. This diagnostic failure produces 2 distinct forms of diagnostic inequity: delayed diagnosis for those with true pathology, and inappropriate over-testing for those who do not meet clinical criteria. Nurse practitioners and physician assistants are frontline providers in these underserved regions but face significant training gaps and practice-level infrastructure barriers. Addressing these disparities requires a multidimensional policy approach that targets the convergence of geographic, workforce, and socioeconomic barriers rather than rurality alone. We propose a coordinated policy agenda focused on comprehensive clinical triage training, appropriate reimbursement for clinician time, financial assistance for diagnostic testing, and investments in practice-level capacity for the entire diagnostic pathway and subsequent care.

Indexed as

accurate triageAlzheimer's disease biomarkersdementia diagnostic desertsdiagnostic inequitydisease-modifying therapiesgeographic inequitiesprimary care providerstriple disadvantage

Identifiers

PMID42211564
PMCPMC13213589

What OpenQuestion holds

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LicenceCC BY-NC
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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.