Evidence map›Paper›PMID 41712850›Full record

ArticleJMIR human factors2026

Web-Based Application for Cognitive and Functional Assessments in Dementia Screening: Mixed Methods, User-Centered Development Approach.

Nattaporn Piyaamornpan, Suwat Srisuwannanukorn, Kosit Tangthamrongthanawat, Pornsawan Mekhasingharak, Chatchawan Rattanabannakit, Saowalak Hunnangkul, Natthamon Wongkom, Vorapun Senanarong

Abstract read
In one paragraph

Article in JMIR human factors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Nattaporn Piyaamornpan *Division of Neurology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wang Lang Rd, Siriraj, Bangkok Noi, Bangkok, 10700, Thailand, 66 24197665, 66 24123009.ORCID 0009-0006-2010-7560
Suwat SrisuwannanukornDivision of Neurology, Department of Medicine, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok, Thailand.ORCID 0009-0009-3346-4120
Kosit TangthamrongthanawatDepartment of Internal Medicine, Nakhon Phanom Hospital, Nakhon Phanom, Thailand.ORCID 0009-0000-2173-356X
Pornsawan MekhasingharakRegional Health Promotion Center 2 Phitsanulok, Phitsanulok, Thailand.ORCID 0009-0000-1970-1817
Chatchawan RattanabannakitDivision of Neurology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wang Lang Rd, Siriraj, Bangkok Noi, Bangkok, 10700, Thailand, 66 24197665, 66 24123009.ORCID 0000-0001-9769-9556
Saowalak HunnangkulDepartment of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID 0000-0002-0116-9276
Natthamon WongkomDivision of Neurology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wang Lang Rd, Siriraj, Bangkok Noi, Bangkok, 10700, Thailand, 66 24197665, 66 24123009.ORCID 0009-0009-3449-6722
Vorapun Senanarong *Division of Neurology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wang Lang Rd, Siriraj, Bangkok Noi, Bangkok, 10700, Thailand, 66 24197665, 66 24123009.ORCID 0009-0006-0389-4793

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital health technologies offer new opportunities for cognitive screening and monitoring among older adults. In Thailand, where dementia prevalence is rising, accessible web-based cognitive tools remain limited despite their potential to facilitate early detection and community-based assessment. Understanding usability and validity is critical to ensure successful implementation in real-world contexts. Objective: This study aimed to develop and validate a web-based application, Healthy Brain Test, for cognitive and functional assessments in dementia screening among older Thai adults. Specific objectives were to (1) design user-centered cognitive modules covering key cognitive domains and (2) evaluate correlations between the web-based assessments and conventional clinical tools to determine diagnostic cutoffs for cognitive impairment. Methods: We designed Healthy Brain Test as a self-administered web application suitable for older users and their caregivers. The platform includes digital versions of the Thai Mental State Examination (e-TMSE), a clock drawing test, and a category verbal fluency test, along with electronic versions of the short form of the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE-16) and cognitive instrumental activities of daily living (IADLs). Participants completed both web-based and paper-based assessments. Correlations between modalities were analyzed, and receiver operating characteristic (ROC) curves were generated to determine sensitivity and specificity. Data were analyzed using SPSS for Windows, version 30.0 (IBM Corp) and MedCalc Statistical Software (MedCalc Software Ltd). Results: A total of 198 older adults participated (women: 137/198, 69.2%; median age 69.4 years), with 57.1% (113/198) having more than 6 years of education. Of the 198 participants, 44 were diagnosed with major neurocognitive disorder, 58 were diagnosed with mild neurocognitive disorder, and 96 were cognitively normal. The e-TMSE showed strong agreement with the traditional TMSE (r=0.837; P<.001). Category verbal fluency, IQCODE-16, and IADL modules also demonstrated significant correlations (P<.001). The e-TMSE achieved an area under the ROC curve of 0.84 (bootstrapped 95% CI 0.78-0.89); a cutoff ≤23 provided 88.6% sensitivity and 70.1% specificity for identifying major neurocognitive disorder. Participants reported high ease of use and engagement during pilot testing. Conclusions: Healthy Brain Test demonstrated strong validity and usability as a web-based cognitive and functional assessment platform for dementia screening. Its integration of established cognitive measures into a digital interface enables remote, accessible, and user-friendly evaluation for older adults and caregivers. Future research should assess long-term feasibility, user adherence, and integration with clinical workflows to support large-scale screening initiatives.

Indexed as

Cognitive DysfunctionDementiaInternetMass ScreeningNeuropsychological TestsActivities of Daily LivingAgedAged, 80 and overDigital HealthFemaleHumansMaleMiddle AgedThailandAlzheimer diseasecognitive screeningdementiafunctional assessmentneurocognitive disordersneuropsychologyweb application

Identifiers

PMID41712850
PMCPMC12919909

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.