Scholarlink

Background <p>Digital cognitive assessment solutions can overcome some barriers to cognitive screening in primary care by providing rapidly obtained objective insights without requiring specialty trained examiners. Real-world comparison of digital assessments to standard screenings in primary care is limited.</p> Objective <p>Our objective was to compare performance on the Linus Health Digital Clock and Recall (DCR™) to the Montreal Cognitive Assessment (MOCA), which is a traditional “gold standard” cognitive screening test in primary care.</p> Participants <p>A total of 114 primary care patients ≥ 65&#xa0;years old completed a DCR as part of routine primary care and scored in the “<i>Borderline</i>” or “<i>Impaired</i>” ranges, and subsequently completed a MOCA at a follow-up primary care visit.</p> Design <p>Criterion and convergent validity analyses were conducted using Mann–Whitney <i>U</i> tests, concordance (agreement) rates, polychoric or polyserial correlations, and exploratory factor analysis.</p> Main Measures <p>DCR and MOCA Total Scores and subcomponent scores.</p> Key Results <p>DCR Total Score and select process scores successfully discriminated impairment on the MOCA using traditional cutoffs, and both agreement rates and correlations were strong between DCR and MOCA components—especially Total Scores comparisons. Exploratory factor analysis revealed a five-factor model whereby one factor was comprised of memory subtests from both the DCR and MOCA, and another was comprised of non-memory MOCA subtests and Information Processing/Spatial Reasoning subcomponents of the DCR.</p> Conclusions <p>Screening in primary care using the DCR is feasible, and shows criterion and convergent validity with a “gold standard” screening tool for detecting cognitive impairment—the MOCA. When paired with parallel advancements in detection of plasma-based biomarkers and recent FDA approvals for disease-modifying treatments for Alzheimer’s disease, the DCR and similar digital cognitive assessment tools have the potential to triage patients for both Alzheimer’s disease diagnostic workups and subsequent treatments beyond specialty care.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Performance of Older Adults on the Digital Clock and Recall Test Compared to the Montreal Cognitive Assessment in Primary Care Settings

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月9日

查看全文
  • Dustin B. Hammers,
  • Daniel Schulman,
  • Nicole R. Fowler,
  • Jane Musema,
  • Jared R. Brosch,
  • Diana Summanwar,
  • Kristen Swartzell,
  • Connor Higgins,
  • Russell Banks,
  • Katherine J. Selzler,
  • Timothy MacLeod,
  • Sean Tobyne,
  • Deanna R. Willis

摘要

Background

Digital cognitive assessment solutions can overcome some barriers to cognitive screening in primary care by providing rapidly obtained objective insights without requiring specialty trained examiners. Real-world comparison of digital assessments to standard screenings in primary care is limited.

Objective

Our objective was to compare performance on the Linus Health Digital Clock and Recall (DCR™) to the Montreal Cognitive Assessment (MOCA), which is a traditional “gold standard” cognitive screening test in primary care.

Participants

A total of 114 primary care patients ≥ 65 years old completed a DCR as part of routine primary care and scored in the “Borderline” or “Impaired” ranges, and subsequently completed a MOCA at a follow-up primary care visit.

Design

Criterion and convergent validity analyses were conducted using Mann–Whitney U tests, concordance (agreement) rates, polychoric or polyserial correlations, and exploratory factor analysis.

Main Measures

DCR and MOCA Total Scores and subcomponent scores.

Key Results

DCR Total Score and select process scores successfully discriminated impairment on the MOCA using traditional cutoffs, and both agreement rates and correlations were strong between DCR and MOCA components—especially Total Scores comparisons. Exploratory factor analysis revealed a five-factor model whereby one factor was comprised of memory subtests from both the DCR and MOCA, and another was comprised of non-memory MOCA subtests and Information Processing/Spatial Reasoning subcomponents of the DCR.

Conclusions

Screening in primary care using the DCR is feasible, and shows criterion and convergent validity with a “gold standard” screening tool for detecting cognitive impairment—the MOCA. When paired with parallel advancements in detection of plasma-based biomarkers and recent FDA approvals for disease-modifying treatments for Alzheimer’s disease, the DCR and similar digital cognitive assessment tools have the potential to triage patients for both Alzheimer’s disease diagnostic workups and subsequent treatments beyond specialty care.