Evidence map›Paper›PMID 40000322›Full record

ArticleThe journal of prevention of Alzheimer's disease2025

Feasibility of computerized motor, cognitive and speech tests in the home: Analysis of TAS Test in 2,300 older adults.

Guan Huang, Renjie Li, Eddy Roccati, Katherine Lawler, Aidan Bindoff, Anna King, James Vickers, Quan Bai, Jane Alty

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The journal of prevention of Alzheimer's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Guan HuangWicking Dementia Research and Education Centre, College of Health and Medicine, University of Tasmania, Hobart, 7000, Tasmania, Australia. Electronic address: guan.huang@utas.edu.au.
Renjie LiWicking Dementia Research and Education Centre, College of Health and Medicine, University of Tasmania, Hobart, 7000, Tasmania, Australia. Electronic address: renjie.li@utas.edu.au.
Eddy RoccatiWicking Dementia Research and Education Centre, College of Health and Medicine, University of Tasmania, Hobart, 7000, Tasmania, Australia. Electronic address: eddy.roccati@utas.edu.au.
Katherine LawlerWicking Dementia Research and Education Centre, College of Health and Medicine, University of Tasmania, Hobart, 7000, Tasmania, Australia; School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, 3086, Victoria, Australia. Electronic address: katherine.lawler@utas.edu.au.
Aidan BindoffWicking Dementia Research and Education Centre, College of Health and Medicine, University of Tasmania, Hobart, 7000, Tasmania, Australia. Electronic address: aidan.bindoff@utas.edu.au.
Anna KingWicking Dementia Research and Education Centre, College of Health and Medicine, University of Tasmania, Hobart, 7000, Tasmania, Australia. Electronic address: anna.king@utas.edu.au.
James VickersWicking Dementia Research and Education Centre, College of Health and Medicine, University of Tasmania, Hobart, 7000, Tasmania, Australia. Electronic address: james.vickers@utas.edu.au.
Quan BaiSchool of Information and Communication Technology, College of Science and Engineering, University of Tasmania, Hobart, 7005, Tasmania, Australia. Electronic address: quan.bai@utas.edu.au.
Jane AltyWicking Dementia Research and Education Centre, College of Health and Medicine, University of Tasmania, Hobart, 7000, Tasmania, Australia; School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, 7000, Tasmania, Australia. Electronic address: jane.alty@utas.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly detection of Alzheimer's disease (AD) risk is crucial for dementia prevention. Tasmanian Test (TAS Test) is a novel, unsupervised, computerized assessment of motor, cognitive, and speech function designed to detect AD risk.

objectivesTo evaluate the feasibility, usability, and acceptability of TAS Test. DESIGN AND

settingTAS Test was administered remotely at home and/or in a research facility, using personal computers.

participants2,351 adults aged 50-89 years (mean 65.35), 71.76 % female, from Tasmania, Australia. MEASUREMENTS: Completion rates, ease-of-use, distraction, test duration, and enjoyment scores. Demographics, computer literacy, cognition, and mood were analyzed.

resultsOver 80 % completed motor and cognitive components with 92.8 % completing speech tests. 89.81 % found the duration acceptable. 80.90 % of remote and 83.46 % of onsite participants enjoyed the procedure. High usability and acceptability were reported, with age, gender, education, computer literacy, cognition and mood having minimal or no impact.

conclusionsTAS Test demonstrated high completion rates and user satisfaction across a large community sample, supporting its feasibility as an unsupervised computerized assessment tool. Future research should address demographic representation and technical refinements.

Indexed as

Alzheimer DiseaseCognitionNeuropsychological TestsSpeechAgedAged, 80 and overFeasibility StudiesFemaleHumansMaleMiddle AgedTasmaniaArtificial intelligenceDementiaDigital biomarkerISLANDTAS Test

Identifiers

PMID40000322
PMCPMC12184057

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.