Evidence map›Paper›PMID 40300819›Full record

ArticleAnnals of family medicine2025

Agile Implementation of a Digital Cognitive Assessment for Dementia in Primary Care.

Diana Summanwar, Nicole R Fowler, Dustin B Hammers, Anthony J Perkins, Jared R Brosch, Deanna R Willis

Abstract read
In one paragraph

Article in Annals of family medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

6 authors.

Diana SummanwarDepartment of Family Medicine, Indiana University School of Medicine, Indianapolis, Indiana dsummanw@iu.edu dsummanw@iuhealth.org.
Nicole R FowlerDepartment of Medicine, Indiana University School of Medicine, Indianapolis, Indiana.
Dustin B HammersDepartment of Statistics and Data Sciences, Indiana University School of Medicine, Indianapolis, Indiana.
Anthony J PerkinsDepartment of Statistics and Data Sciences, Indiana University School of Medicine, Indianapolis, Indiana.
Jared R BroschDepartment of Neurology, Indiana University School of Medicine, Indianapolis, Indiana.
Deanna R WillisDepartment of Family Medicine, Indiana University School of Medicine, Indianapolis, Indiana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to assess how agile implementation-driven iterative processes and tailored workflows can facilitate the implementation of a digital cognitive assessment (DCA) tool for patients aged 65 years or older into primary care practices.

methodsWe used agile implementation principles to integrate a DCA tool into routine workflows across 7 primary care clinics. The intervention involved a structured selection process for identifying an appropriate DCA tool, stakeholder engagement through iterative sprints (structured, time-bound cycles), and development of tailored workflows to meet clinic-specific needs. A brain health navigator role was established to support patients with positive or borderline screenings, and assist primary care clinicians with follow-up assessment. We used the reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) framework to evaluate the intervention's performance over a 12-month period.

resultsThe intervention engaged 69 (63.8%) of 108 clinicians across the 7 clinics. DCA screening was completed in 1,808 (10.8%) of 16,708 eligible visits. We selected the Linus Health Core Cognitive Evaluation tool as our DCA tool based on stakeholder evaluations. Screening workflows were tailored to each clinic. The brain health navigator received 447 referrals for further assessment of a positive or borderline screening result. Four clinics fully adopted the intervention, achieving a DCA completion rate of at least 20%, and 5 clinics were still routinely using the DCA tool at 12 months.

conclusionsAgile implementation effectively helped integrate the DCA tool into primary care workflows. Customized workflows, stakeholder engagement, and iterative improvements were crucial for adoption and sustainability. These insights can guide future efforts for early detection and management of cognitive impairment in primary care, ultimately improving patient outcomes and easing the burden on health care professionals.

Indexed as

DementiaPrimary Health CareAgedAged, 80 and overFemaleHumansMaleWorkflowAlzheimer’s diseaseclinical practice patternscognitive dysfunctiondementia screeningdigital cognitive assessmenthealth informaticsimplementation sciencemild cognitive impairmentneuropsychologic testsorganizational innovationpractice-based researchprimary health carequality improvementworkflow

Identifiers

PMID40300819
PMCPMC12120161

What OpenQuestion holds

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Registered trials

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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.