Evidence map›Paper›PMID 42050423›Full record

ArticleBMC primary care2026

The Davos Alzheimer's Collaborative Healthcare System Preparedness US Early Detection of Cognitive Impairment Program in primary care: Methodology.

Michael Hornbecker, Monica Zigman Suchsland, Tim MacLeod, Mary Jo Koppenhofer, Katherine J Selzler, Phyllis Ferrell, Amy Deckert

Abstract read
In one paragraph

Article in BMC primary care, 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

7 authors.

Michael HornbeckerDavos Alzheimer's Collaborative, Wayne, PA, USA.
Monica Zigman SuchslandDavos Alzheimer's Collaborative, Wayne, PA, USA.
Tim MacLeodDavos Alzheimer's Collaborative, Wayne, PA, USA.
Mary Jo KoppenhoferDavos Alzheimer's Collaborative, Wayne, PA, USA.
Katherine J SelzlerDavos Alzheimer's Collaborative, Wayne, PA, USA.
Phyllis FerrellDavos Alzheimer's Collaborative, Wayne, PA, USA.
Amy DeckertDavos Alzheimer's Collaborative, Wayne, PA, USA. adeckert@davosalzheimerscollaborative.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer’s disease and related disorders (ADRD) pose a growing global health challenge, with cases expected to nearly triple by 2050. Early detection is critical for improving outcomes, yet most cases remain undiagnosed. Integrating routine cognitive assessments into primary care can provide timely access to treatments, and improve disease management and patient outcomes. The Davos Alzheimer’s Collaborative Healthcare System Preparedness (DAC-SP) program created an Early Detection Blueprint (dacblueprint.org), a digital, open-access microsite which translates evidence-based implementation strategies and resources into a practical operational guide for healthcare systems to establish early detection programs in primary care.

methodsTo help bridge the gap between research and real-world practice, DAC-SP launched the US Early Detection of Cognitive Impairment Program in September 2024. This program supports 10 diverse healthcare systems across the United States through grant funding and a core curriculum including self-directed, peer and expert learning to design, implement, and sustain routine cognitive assessment programs in primary care settings. Informed by the Consolidated Framework for Implementation Research (CFIR), program evaluation data will be collected via surveys, monthly implementation reports, and semi-structured qualitative interviews. Using a concurrent mixed-methods program evaluation, this study will assess the implementation outcomes of adoption, implementation, and sustainability of the routine cognitive assessment programs across sites.

resultsThe US Early Detection Program is expected to conclude in July of 2026, with sustainability assessments completed by December 2026 and results by March 2027. Findings will include cross-site changes in the number of routine cognitive assessments completed over time and changes in healthcare provider attitudes towards early detection and implementation of adapted clinical workflows. Additional learnings from the US Early Detection Program will include barriers and facilitators to the early detection of cognitive impairment in primary care, and site-specific factors that influenced adoption of routine cognitive assessments across diverse practice settings. Cross-site learnings and feedback will inform revisions to a US-specific version of the Early Detection Blueprint for future US healthcare systems.

conclusionThe DAC-SP US Early Detection Program aims to modernize detection, diagnosis, and care of Alzheimer’s disease and related disorders by expanding the routine use of cognitive assessments in primary care and generating actionable insights to drive improvements across the US healthcare landscape.

Indexed as

Alzheimer DiseaseCognitive DysfunctionPrimary Health CareEarly DiagnosisHumansUnited StatesCognitive assessmentEarly detectionImplementation scienceMethodologyPrimary careProgram evaluation

Identifiers

PMID42050423
PMCPMC13274047

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.