Evidence map›Paper›PMID 40500744›Full record

Trial reportJournal of neuroengineering and rehabilitation2025

Validity and usability for digital cognitive assessment tools to screen for mild cognitive impairment: a randomized crossover trial.

Min Wu, Jialin Feng, Ruini Sun, Shangyang Zhang, Yongjin Zhang, Fengjie Yang, Xiaoyi Zhang, Yunxian Ye, Ni Gong, Jing Liao

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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

10 authors.

Min WuDepartment of Medical Statistics and Epidemiology, Sun Yat-sen University, Guangzhou, Guangdong, China.
Jialin FengDepartment of Medical Statistics and Epidemiology, Sun Yat-sen University, Guangzhou, Guangdong, China.
Ruini SunDepartment of Medical Statistics and Epidemiology, Sun Yat-sen University, Guangzhou, Guangdong, China.
Shangyang ZhangSchool of Nursing, Jinan University, Guangzhou, Guangdong, China.
Yongjin ZhangDepartment of Medical Statistics and Epidemiology, Sun Yat-sen University, Guangzhou, Guangdong, China.
Fengjie YangQiaonan Street Community Health Service Centre, Panyu District, Guangzhou, China.
Xiaoyi ZhangLuopu Street Community Health Service Centre, Panyu District, Guangzhou, China.
Yunxian YeLuopu Street Community Health Service Centre, Panyu District, Guangzhou, China.
Ni GongSchool of Nursing, Jinan University, Guangzhou, Guangdong, China.
Jing LiaoDepartment of Medical Statistics and Epidemiology, Sun Yat-sen University, Guangzhou, Guangdong, China. liaojing5@mail.sysu.edu.cn.

Funding

National Science Foundation of China/ the Economic and Social Research Council 72061137003UK Research and Innovation ES/T014377/1
6 · The paper itself

Abstract

backgroundThe practicality of implementing digital cognitive screening tests in primary health care (PHC) for the detection of cognitive impairments, particularly among populations with lower education levels, remains unclear. The aim of this study is to assess the validity and usability of digital cognitive screening tests in PHC settings.

methodsWe utilized a randomized crossover design, whereby 47 community-dwelling participants aged 65 and above were randomized into two groups. One group completed the paper-based Mini-Mental State Examination (MMSE) and Clock Drawing Test (CDT) first, followed by the tablet-based digital version after a two-week washout period, while the other group did the reverse. Validity was assessed by Spearman correlation, linear mixed-effects models, sensitivity specificity, and area under the curve (AUC). Usability was assessed through the Usefulness, Satisfaction, and Ease of Use (USE) questionnaire, participant preferences and assessment duration. Regression analyses were conducted to explore the impact of usability on digital test scores, controlling for cognitive level, education, age, and gender.

resultsRegarding validity, digital tests showed moderate correlations with paper-based versions and superior AUC performance. The AUC was 0.65 for the MMSE versus 0.82 for the electronic MMSE (eMMSE), and 0.45 for the CDT compared to 0.65 for the electronic CDT (eCDT). Regarding usability, while older participants gave positive feedback on digital tests (P < 0.001), they preferred paper-based versions. The eMMSE took significantly longer to complete than the MMSE, averaging 7.11 min versus 6.21 min (P = 0.01). Notably, digital test scores were minimally affected by subjective attitudes but strongly linked to test duration (β = -0.62, 95% CI: -1.07 to -0.17).

conclusionsDigital cognitive tests are valid and feasible in PHC settings but face implementation challenges, especially in usability and adaptability among individuals with lower education levels.

Indexed as

Cognitive DysfunctionMental Status and Dementia TestsNeuropsychological TestsAgedAged, 80 and overComputers, HandheldCross-Over StudiesFemaleHumansMalePrimary Health CareReproducibility of ResultsDigital cognitive assessmentMild cognitive impairmentUsabilityValidity

Identifiers

PMID40500744
PMCPMC12153127

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.