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Research ArticleOriginal Research

Feasibility and Acceptability of Implementing a Digital Cognitive Assessment for Alzheimer Disease and Related Dementias in Primary Care

Nicole R. Fowler, Dustin B. Hammers, Anthony J. Perkins, Diana Summanwar, Anna Higbie, Kristen Swartzell, Jared R. Brosch and Deanna R. Willis
The Annals of Family Medicine May 2025, 23 (3) 191-198; DOI: https://doi.org/10.1370/afm.240293
Nicole R. Fowler
1Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
2Indiana University Center for Aging Research, Indianapolis, Indiana
3Regenstrief Institute Inc, Indianapolis, Indiana
PhD, MHSA
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  • For correspondence: fowlern@iu.edu
Dustin B. Hammers
4Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana
PhD
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Anthony J. Perkins
5Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana
MS
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Diana Summanwar
6Department of Family Medicine, Indiana University School of Medicine, Indianapolis, Indiana
MD
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Anna Higbie
2Indiana University Center for Aging Research, Indianapolis, Indiana
3Regenstrief Institute Inc, Indianapolis, Indiana
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Kristen Swartzell
7School of Nursing, Purdue University, West Lafayette, Indiana
PhD, RN
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Jared R. Brosch
4Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana
MD
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Deanna R. Willis
6Department of Family Medicine, Indiana University School of Medicine, Indianapolis, Indiana
MD, MBA
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    Figure 1.

    Feasibility and Acceptability of Digital Cognitive Assessment Implementation

    DCA = digital cognitive assessment; PCP = primary care physician.

    a For each encounter, the PCP could decline to have the patient complete the DCA, and as different clinics rolled out the DCA screening, some encounters were defined as out of scope on the basis of clinic-specific workflows and perceived system constraints.

    b Missed: patient was eligible to complete the DCA but was not approached.

    c Incomplete: patient started the DCA but did not complete enough of the test to produce a score.

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    Table 1.

    Examples of Implementation Differences by Clinics, Which Defined Out-of-Scope Encounters

    Sprint topicExample
    Timing of DCA administration during encounter/visitDCA administered before clinician entered examination room vs after clinician finished in examination room
    Types of encounters/visits for which DCA would be administeredDCA administered for specific encounter types (eg, annual wellness visit, preventive visit) vs for all encounter types
    Specific appointment times when DCA would be administeredDCA administered for appointments at specific times in the schedule each day vs at any appointment time
    Clinic personnel who would administrator DCA during encounter/visitDCA administered by medical assistant vs primary care clinician
    • DCA = digital cognitive assessment.

    • View popup
    Table 2.

    Demographic Characteristics of Unique Patients Approached to Complete a Digital Cognitive Assessment

    Did not complete DCAa n = 8,675Completed DCA n = 1,722P value
    Age, y, mean (SD)74.7 (7.4)73.5 (6.0)<.001
    Sex, No. (%)
        Female5,156 (59.4)995 (57.8).21
        Male3,518 (40.6)727 (42.2)
    Race, No. (%)<.001
        Asian219 (2.5)23 (1.3)
        Black or African American1,553 (17.9)336 (19.5)
        White6,801 (78.4)1,355 (78.7)
        Other reported82 (0.9)5 (0.3)
    Ethnicity, No. (%).07
        Hispanic194 (2.2)51 (3.0)
        Non-Hispanic8,414 (97.0)1,663 (96.6)
    Area Deprivation Index median, (25%, 75%)54 (35, 74)51 (29, 76).027
    Clinic, No. (%)<.001
        11,146 (13.2)282 (16.4)
        21,737 (20.0)36 (2.1)
        3306 (3.5)41 (2.4)
        41,198 (13.8)459 (26.7)
        5641 (7.4)410 (23.8)
        61,049 (12.1)475 (27.6)
        72,598 (29.9)19 (1.1)
    • DCA = digital cognitive assessment.

    • ↵a Patients who did not complete a DCA included those who had a status of ineligible, patient declined, physician declined or out of scope, missed or not performed reason unknown, or incomplete.

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    Table 3.

    Logistic Regression Comparing Patients Who Completed a Digital Cognitive Assessment vs Patients Who Did Not

    OR (95% CI)P value
    Age0.98 (0.97, 0.99)<.001
    Sex
        Female1.12 (1.00, 1.26).053
    Race
        Asian vs White0.46 (0.29, 0.73).001
        Black or African American vs White0.91 (0.75, 1.09).294
        Other race vs White0.28 (0.11, 0.72).008
    Ethnicity
        Hispanic vs Non-Hispanic0.96 (0.67, 1.38).821
    Area Deprivation Index1.00 (1.00, 1.00).551
    Clinic
        1 vs 31.84 (1.28, 2.63).001
        2 vs 30.15 (0.09, 0.24)<.001
        4 vs 32.90 (2.03, 4.14)<.001
        5 vs 34.82 (3.36, 6.92)<.001
        6 vs 33.28 (2.29, 4.69)<.001
        7 vs 30.05 (0.03, 0.10)<.001
    • OR = odds ratio.

    • View popup
    Table 4.

    Patient Demographic Characteristics, by Digital Cognitive Assessment Result

    Unimpaired (n = 762)Borderline (n = 628)Impaired (n = 236)Inconclusivea (n = 96)P value
    Age, y, mean (SD)72.1 (5.0)74.2 (6.2)76.2 (7.2)73.2 (6.3)<.001
    Sex, No. (%).064
        Female456 (59.8)367 (58.4)121 (51.3)51 (53.1)
        Male306 (40.2)261 (41.6)115 (48.7)45 (46.9)
    Race, No. (%)<.001
        Asian2 (0.3)10 (1.6)8 (3.4)3 (3.1)
        Black or African American79 (10.4)142 (22.6)88 (37.3)27 (28.1)
        White678 (89.0)473 (75.3)139 (58.9)65 (67.7)
        Other reported0 (0)3 (0.5)1 (0.4)1 (1.0)
    Ethnicity, No. (%).001
        Hispanic11 (1.4)25 (4.0)14 (5.9)1 (1.0)
        Non-Hispanic746 (97.9)601 (95.7)222 (94.1)94 (97.9)
    Years of education, mean (SD)15.1 (2.4)14.1 (2.7)12.8 (3.1)13.5 (2.5)<.001
    Area Deprivation Index, median (25%, 75%)43 (28, 63)55 (33, 81)63 (43, 87)52 (28, 88)<.001
    Charlson Comorbidity Index, median (25%, 75%)1 (0, 1)1 (0, 2)1 (0, 3)1 (0, 2)<.001
    Comorbidities, No. (%)
        Hypertension544 (71.4)520 (82.8)197 (83.5)84 (87.5)<.001
        Hyperlipidemia434 (57.0)356 (56.7)127 (53.8)52 (54.2).685
        Chronic kidney disease107 (14.0)128 (20.4)59 (25.0)20 (20.8)<.001
        Diabetes220 (28.9)221 (35.2)94 (39.8)36 (37.5).002
        Congestive heart failure47 (6.2)75 (11.9)30 (12.7)11 (11.5)<.001
        COPD119 (15.6)120 (19.1)42 (17.8)20 (20.8).225
        Obstructive sleep apnea110 (14.4)74 (11.8)26 (11.0)14 (14.6).219
        Obesity186 (24.4)113 (18.0)54 (22.9)21 (21.9).014
        Cancer63 (8.3)61 (9.7)23 (9.7)11 (11.5).594
    Tobacco use, No. (%) (some with missing values).004
        Current38 (6.7)52 (11.3)19 (10.9)4 (6.4)
        Former124 (22.0)127 (27.7)49 (28.2)12 (19.0)
        Never402 (71.3)280 (61.0)106 (60.9)47 (74.6)
    • COPD = chronic obstructive pulmonary disease; DCA = digital cognitive assessment.

    • ↵a Patients categorized as inconclusive if they completed a DCA that could not be scored and determined by Linus Health as an inconclusive result, and were not included in the statistical analysis.

    • View popup
    Table 5.

    Outcomes Within 90 Days After Digital Cognitive Assessment

    Borderline (n = 628)Impaired (n = 236)P value
    New diagnosis of ADRD, No. (%)4 (0.6)5 (2.1).068
    New diagnosis of MCI, No. (%)9 (1.4)12 (5.1).005
    New antidementia drug ordered, No. (%)a3 (0.5)6 (2.5).015
    Order for laboratory test, No. (%)
        Vitamin B12139 (22.1)85 (36.0)<.001
        TSH188 (29.9)84 (35.6).119
    Order for imaging of head/neck, No. (%)
        Any type of imaging48 (7.6)40 (16.9)<.001
        CT24 (3.8)22 (9.3).003
        MRA2 (0.3)0 (0)1.000
        MRI29 (4.6)22 (9.3).014
    Referral to neurology, No. (%)25 (4.0)28 (11.9)<.001
    Referral to geriatrics, No. (%)4 (0.6)8 (3.4).005
    Referral to neuropsychology, No. (%)3 (0.5)5 (2.1).039
    Referral to psychiatry, No. (%)1 (0.2)0 (0)1.000
    Referral to brain health navigator RN, No. (%)299 (47.6)148 (62.7)<.001
    Died, No. (%)4 (0.6)2 (0.8).667
    • ADRD = Alzheimer disease or a related dementia; CT = computed tomography; MCI = mild cognitive impairment; MRA = magnetic resonance angiogram; MRI = magnetic resonance imaging; RN = registered nurse; TSH = thyroid-stimulating hormone.

    • ↵a Donepezil, galantamine, rivastigmine, tacrine, memantine, memantine/donepezil.

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    Original Research

    Digital Cognitive Assessment in Primary Care May Enable Early Dementia Detection and Next Step Care

    Background and Goal: Many adults aged 65 and older never receive a cognitive check during regular primary care visits. This study  assessed the feasibility and acceptability of implementing a digital cognitive assessment for Alzheimer disease and related dementias (ADRD) screening into primary care. They also assessed the prevalence of positive screens and measured diagnostic and care outcomes after a positive digital cognitive assessment result. 

    Study Approach: From June 2022 to May 2023, seven Indiana University Health clinics offered the five-minute Digital Clock & Recall test on an iPad to every patient 65 and older. Each site, after a series of pre-launch “sprint” meetings, set its own rules on which visit types and which staffers would run the screen, then uploaded results to the electronic record for the physician to review. In month three, researchers introduced a registered-nurse role to support patients for completing care pathways if they were flagged for cognitive impairment. Physicians retained discretion over follow-up, and investigators recorded every lab, imaging study, referral and new diagnosis ordered within 90 days of the screen.

    Main Results                    

    • Of the 16,708 patients who were identified as eligible for screening, a total of 1,808 digital cognitive assessments (10.8%) were completed by 1,722 unique patients.

    • More than one-half (55.3%) of eligible visits never offered the digital cognitive assessment because PCPs declined or the encounter was deemed out of scope during sprint meetings.

    • Screening outcomes: Among 1,808 tests, 44.3% were categorized as unimpaired, 36.5% as borderline, and 13.7% as impaired.

    • Follow-up within 90 days for the impaired group: 2.1% received a new Alzheimer or related-dementia diagnosis; 5.1% received a new mild cognitive impairment diagnosis; 16.9% had brain imaging ordered; 62.7% were referred to the brain health navigator.

    Why It Matters: Many cases of cognitive impairment go undetected in primary care. Digital cognitive assessments may offer a feasible way to screen older adults during routine visits, helping identify those who may benefit from early diagnosis, treatment, and care planning. However, without supportive workflows and follow-up systems in place, these tools alone aren’t enough to close the gap in dementia care.         

    Feasibility and Acceptability of Implementing a Digital Cognitive Assessment for Alzheimer Disease and Related Dementias in Primary Care 

    Nicole R. Fowler, PhD, MHSA, et al                     

    Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana

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The Annals of Family Medicine: 23 (3)
The Annals of Family Medicine: 23 (3)
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May/June 2025
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Feasibility and Acceptability of Implementing a Digital Cognitive Assessment for Alzheimer Disease and Related Dementias in Primary Care
Nicole R. Fowler, Dustin B. Hammers, Anthony J. Perkins, Diana Summanwar, Anna Higbie, Kristen Swartzell, Jared R. Brosch, Deanna R. Willis
The Annals of Family Medicine May 2025, 23 (3) 191-198; DOI: 10.1370/afm.240293

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Feasibility and Acceptability of Implementing a Digital Cognitive Assessment for Alzheimer Disease and Related Dementias in Primary Care
Nicole R. Fowler, Dustin B. Hammers, Anthony J. Perkins, Diana Summanwar, Anna Higbie, Kristen Swartzell, Jared R. Brosch, Deanna R. Willis
The Annals of Family Medicine May 2025, 23 (3) 191-198; DOI: 10.1370/afm.240293
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