Evidence map›Paper›PMID 38569699›Full record

ArticleBMJ open2024

Protocol for a construct and clinical validation study of MyCog Mobile: a remote smartphone-based cognitive screener for older adults.

Stephanie Ruth Young, Elizabeth McManus Dworak, Greg J Byrne, Callie Madison Jones, Julia Yoshino Benavente, Lihua Yao, Laura M Curtis, Maria Varela Diaz, Richard Gershon, Michael Wolf and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

11 authors.

Stephanie Ruth YoungDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA stephanieruth.young@northwestern.edu.ORCID 0000-0002-8205-9297
Elizabeth McManus DworakDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Greg J ByrneDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Callie Madison JonesDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Julia Yoshino BenaventeDivision of General Internal Medicine, Northwestern University, Chicago, Illinois, USA.ORCID 0000-0003-0549-1809
Lihua YaoDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Laura M CurtisDivision of General Internal Medicine, Northwestern University, Chicago, Illinois, USA.
Maria Varela DiazDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Richard GershonDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Michael WolfDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Cindy NowinskiDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

Funding

Development and Validation of a Telehealth Strategy for Routine Detection of Cognitive Impairment in Primary Care: The MyCog Mobile AssessmentR01AG074245 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI NOWINSKI, CINDY J., WOLF, MICHAEL S · 2021 to 2025
$3.8M
NIA NIH HHS R01 AG074245
6 · The paper itself

Abstract

introductionAnnual cognitive screening in older adults is essential for early detection of cognitive impairment, yet primary care settings face time constraints that present barriers to routine screening. A remote cognitive screener completed on a patient's personal smartphone before a visit has the potential to save primary care clinics time, encourage broader screening practices and increase early detection of cognitive decline. MyCog Mobile is a promising new remote smartphone-based cognitive screening app for primary care settings. We propose a combined construct and clinical validation study of MyCog Mobile. METHODS AND ANALYSIS: We will recruit a total sample of 300 adult participants aged 65 years and older. A subsample of 200 healthy adult participants and a subsample of 100 adults with a cognitive impairment diagnosis (ie, dementia, mild cognitive impairment, cognitive deficits or other memory loss) will be recruited from the general population and specialty memory care centres, respectively. To evaluate the construct validity of MyCog Mobile, the healthy control sample will self-administer MyCog Mobile on study-provided smartphones and be administered a battery of gold-standard neuropsychological assessments. We will compare correlations between performance on MyCog Mobile and measures of similar and dissimilar constructs to evaluate convergent and discriminant validity. To assess clinical validity, participants in the clinical sample will self-administer MyCog Mobile on a smartphone and be administered a Mini-Cog screener and these data will be combined with the healthy control sample. We will then apply several supervised model types to determine the best predictors of cognitive impairment within the sample. Area under the receiver operating characteristic curve, accuracy, sensitivity and specificity will be the primary performance metrics for clinical validity. ETHICS AND DISSEMINATION: The Institutional Review Board at Northwestern University (STU00214921) approved this study protocol. Results will be published in peer-reviewed journals and summaries provided to the study's funders.

Indexed as

Cognition DisordersCognitive DysfunctionDementiaAgedCognitionHumansSmartphoneagingdementiageriatric medicineprimary caretelemedicine

Identifiers

PMID38569699
PMCPMC11148704

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.