Evidence map›Paper›PMID 38701141›Full record

ArticleJournal of Alzheimer's disease : JAD2024

Evaluating Cognitive Impairment in a Large Health Care System: The Cognition in Primary Care Program.

Barak Gaster, Monica Zigman Suchsland, Annette L Fitzpatrick, Joshua M Liao, Basia Belza, Amy P Hsu, Sarah McKiddy, Christina Park, Benjamin S Olivari, Angad P Singh and 1 more

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Barak GasterDepartment of Medicine, University of Washington, Seattle, WA, USA.
Monica Zigman SuchslandDepartment of Family Medicine, University of Washington, Seattle, WA, USA.
Annette L FitzpatrickDepartment of Family Medicine, University of Washington, Seattle, WA, USA.
Joshua M LiaoDepartment of Medicine, University of Washington, Seattle, WA, USA.
Basia BelzaSchool of Nursing, University of Washington, Seattle, WA, USA.
Amy P HsuDepartment of Medicine, University of Washington, Seattle, WA, USA.
Sarah McKiddySchool of Nursing, University of Washington, Seattle, WA, USA.
Christina ParkDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Benjamin S OlivariNational Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Angad P SinghDepartment of Family Medicine, University of Washington, Seattle, WA, USA.
Jaqueline RaetzDepartment of Family Medicine, University of Washington, Seattle, WA, USA.

Funding

University of Washington Alzheimer's Disease Research CenterP30AG066509 · NIA · UNIVERSITY OF WASHINGTON · PI Amanda D. Boyd · 2020 to 2026
$29.0M
Intramural CDC HHS CC999999NIA NIH HHS P30 AG066509
6 · The paper itself

Abstract

Background: The prevalence of Alzheimer's disease and related disorders (ADRD) is rising. Primary care providers (PCPs) will increasingly be required to play a role in its detection but lack the training to do so. Objective: To develop a model for cognitive evaluation which is feasible in primary care and evaluate its implementation in a large health system. Methods: The Cognition in Primary Care Program consists of web-based training together with integrated tools built into the electronic record. We implemented the program among PCPs at 14 clinics in a large health system. We (1) surveyed PCPs to assess the impact of training on their confidence to evaluate cognition, (2) measured the number of cognitive assessments they performed, and (3) tracked the number of patients diagnosed with mild cognitive impairment (MCI). Results: Thirty-nine PCPs completed the training which covered how to evaluate cognition. Survey response rate from those PCPs was 74%. Six months after the end of the training, they reported confidence in assessing cognition (mean 4.6 on 5-point scale). Cognitive assessments documented in the health record increased from 0.8 per month before the training to 2.5 in the six months after the training. Patients who were newly diagnosed with MCI increased from 4.2 per month before the training to 6.0 per month in the six months after the training. Conclusions: This model for cognitive evaluation in a large health system was shown to increase cognitive testing and increase diagnoses of MCI. Such improvements are essential for the timely detection of ADRD.

Indexed as

Cognitive DysfunctionPrimary Health CareAgedFemaleHumansMaleNeuropsychological TestsAlzheimer’s diseasecognitive dysfunctioncontinuing medical educationdementiaearly detection of diseasemild cognitive impairmentprimary care

Identifiers

PMID38701141
PMCPMC11331304

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.