Evidence map›Paper›PMID 40015753›Full record

ArticleThe journal of prevention of Alzheimer's disease2025

Effects of the Davos Alzheimer's Collaborative early detection of cognitive impairment program on clinician attitudes, engagement, and confidence.

Tabasa Ozawa, Katherine J Selzler, Daniel E Ball, Amy Deckert, Tim MacLeod, Otelo Corrêa Dos Santos Filho, Ishtar Govia, Janelle N Robinson, Hisatomo Kowa, Mariana Lopez-Ortega and 8 more

Abstract read
In one paragraph

Article in The journal of prevention of Alzheimer's disease, 2025. 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. Article
  2. System changes to empower primary care in Alzheimer's disease detection and care.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Brain health care accelerator: A primary care-centered model for scaling dementia diagnosis and care.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
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

18 authors.

Tabasa OzawaUniversity of Southern California, Los Angeles, CA, USA. Electronic address: tabasaoz@usc.edu.
Katherine J SelzlerDavos Alzheimer's Collaborative, Wayne, PA, USA. Electronic address: kselzler@davosalzheimerscollaborative.org.
Daniel E BallDavos Alzheimer's Collaborative, Wayne, PA, USA. Electronic address: dball@davosalzheimerscollaborative.org.
Amy DeckertDavos Alzheimer's Collaborative, Wayne, PA, USA. Electronic address: adeckert@davosalzheimerscollaborative.org.
Tim MacLeodDavos Alzheimer's Collaborative, Wayne, PA, USA. Electronic address: tmacleod@davosalzheimerscollaborative.org.
Otelo Corrêa Dos Santos FilhoHuman Aging Center - State University of Rio de Janeiro, Rio de Janeiro, Brazil. Electronic address: otelocsantos@gmail.com.
Ishtar GoviaJamaica Mental Health Advocacy Network, currently affiliated with Amagi Health Ltd, Kingston, Jamaica. Electronic address: ishtargovia@gmail.com.
Janelle N RobinsonCUNY Graduate Center, NYC, NY, USA. Electronic address: janellerobinson@live.com.
Hisatomo KowaKobe University, Kobe, Japan. Electronic address: kowa@med.kobe-u.ac.jp.
Mariana Lopez-OrtegaNational Institute of Geriatrics, National Institutes of Health, Mexico City, Mexico. Electronic address: marianalopezortega@gmail.com.
Alison McKeanBrain Health Scotland, Edinburgh, Scotland. Electronic address: amckean@alzscot.org.
Wendy ChambersNHS Dumfries and Galloway, Cargenbridge, Scotland. Electronic address: wendy.chambers@nhs.scot.
Steven R SmithAdventHealth, Orlando, FL, USA. Electronic address: steven.r.smith@adventhealth.com.
Magda BakshAdventHealth, Orlando, FL, USA. Electronic address: Magda.Baksh@AdventHealth.com.
Deanna R WillisDepartment of Family Medicine, Indiana University School of Medicine, Indianapolis IN USA. Electronic address: drwillis@iupui.edu.
Nicole R FowlerDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana University Center for Aging Research, Regenstrief Institute, Indianapolis, IN, USA. Electronic address: fowlern@iupui.edu.
Soeren MattkeUniversity of Southern California, Los Angeles, CA, USA. Electronic address: mattke@usc.edu.
DAC Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of people with dementia is expected to grow substantially across the world due to population aging, but cognitive impairment remains undetected and undiagnosed, especially in early stages. Newly available diagnostic tools such as digital cognitive assessments and blood biomarker tests may be well suited to increase the rates of early detection of dementia in primary care.

objectivesThe objective of the Davos Alzheimer's Collaborative Healthcare System Preparedness (DAC-SP) Early Detection Flagship Program was to improve the rate of early detection of cognitive impairment in primary care and non-specialty settings. We aimed to understand the program's impact on clinician attitudes, engagement, and confidence in diagnosing and managing cognitive impairment.

designSurvey of participating healthcare professionals before and after the intervention.

settingThe DAC Healthcare System Preparedness Early Detection Flagship Program was implemented in seven sites across six countries: Brazil, Jamaica, Japan, Mexico, Scotland, and the United States (2 sites).

participants110 healthcare professionals, including, primary care physicians, specialists (neurologists and psychologists), nurses, nurse practitioners, physician assistants, social workers, and healthcare support workers completed the pre-intervention survey. 68 healthcare professionals completed the post-intervention survey.

interventionParticipating sites implemented a digital cognitive assessment tool and a blood biomarker test for the Alzheimer's pathology and were trained in the administration of the digital cognitive assessment tool. The intervention was adapted to each site for cultural relevance and operational feasibility. MEASUREMENTS: Participants completed the General Practitioners Attitude and Confidence Scale for Dementia (GPACS-D), a 15-item scale with three subscales: Attitude to Care (six items), Confidence in Clinical Abilities (six items), and Engagement (three items). In addition to the subscale scores, the total GPACS-D score was reported.

resultsAcross all sites, there was a significant increase in the Confidence in Clinical Abilities score from 2.98 (SD = 0.77) pre-intervention to 3.27 (SD = 0.72) post-intervention (p = 0.01), and in the total GPACS-D score from 3.48 (SD = 0.48) to 3.65 (SD = 0.39) (p = 0.01). There were non-significant increases in the Attitude to Care and Engagement scores across all sites.

conclusionsThe implementation of digital cognitive assessment tools and a blood biomarker test was associated with an increase in healthcare professionals' confidence in diagnosing and managing patients with cognitive impairment in primary care and non-specialty settings. Digital cognitive assessments and blood biomarker tests are promising tools that could be utilized in primary care to increase clinicians' confidence in detecting dementia and lead to timely clinical evaluation, treatment, and referral to supportive resources.

Indexed as

Alzheimer DiseaseAttitude of Health PersonnelCognitive DysfunctionHealth PersonnelBiomarkersEarly DiagnosisFemaleHumansMalePrimary Health CareSurveys and QuestionnairesBiomarkersAlzheimer's diseaseBlood biomarkerDigital cognitive assessmentEarly detection

Identifiers

PMID40015753
PMCPMC12183994

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.