Evidence map›Paper›PMID 41398493›Full record

ArticleGeroScience2026

Smartphone self-testing of hand and speech motor functions: a study of reliability and usability in older adults.

Renjie Li, Kaylee Rudd, Eddy Roccati, Lynette R Goldberg, Aidan D Bindoff, Katherine Lawler, Mimieveshiofuo Aiyede, Cristina Simonet, Diriba Mulisa, Anna E King and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Renjie LiWicking Dementia Research Education Centre, University of Tasmania, 17 Liverpool Street, 7000, Hobart, TAS, Australia.
Kaylee RuddWicking Dementia Research Education Centre, University of Tasmania, 17 Liverpool Street, 7000, Hobart, TAS, Australia.
Eddy RoccatiWicking Dementia Research Education Centre, University of Tasmania, 17 Liverpool Street, 7000, Hobart, TAS, Australia.
Lynette R GoldbergWicking Dementia Research Education Centre, University of Tasmania, 17 Liverpool Street, 7000, Hobart, TAS, Australia.
Aidan D BindoffWicking Dementia Research Education Centre, University of Tasmania, 17 Liverpool Street, 7000, Hobart, TAS, Australia.
Katherine LawlerWicking Dementia Research Education Centre, University of Tasmania, 17 Liverpool Street, 7000, Hobart, TAS, Australia.
Mimieveshiofuo AiyedeWicking Dementia Research Education Centre, University of Tasmania, 17 Liverpool Street, 7000, Hobart, TAS, Australia.
Cristina SimonetWicking Dementia Research Education Centre, University of Tasmania, 17 Liverpool Street, 7000, Hobart, TAS, Australia.
Diriba MulisaWicking Dementia Research Education Centre, University of Tasmania, 17 Liverpool Street, 7000, Hobart, TAS, Australia.
Anna E KingWicking Dementia Research Education Centre, University of Tasmania, 17 Liverpool Street, 7000, Hobart, TAS, Australia.
James C VickersWicking Dementia Research Education Centre, University of Tasmania, 17 Liverpool Street, 7000, Hobart, TAS, Australia.
Quan BaiSchool of Information and Communication Technology (ICT), University of Tasmania, Hobart, TAS, Australia.
Jane AltyWicking Dementia Research Education Centre, University of Tasmania, 17 Liverpool Street, 7000, Hobart, TAS, Australia. Jane.Alty@utas.edu.au.ORCID 0000-0002-5456-8676

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scalable remote-monitoring tools of motor function are vital for early detection and tracking of neurodegenerative diseases. This study evaluated the reliability and usability of TapTalk, a 2-min validated smartphone-based self-assessment of hand and speech motor function, in older adults. Community-dwelling adults aged 50 + completed TapTalk daily for 7 days: once in the research center and six consecutive days at home. Motor features were extracted using validated algorithms. Test-retest reliability was analyzed using intraclass correlation coefficient (ICC) and usability via descriptive analysis of user-experience questionnaires. Four-hundred and twenty-five sessions of TapTalk were completed by 68 participants (68.6 ± 6.6 years; range 57-80; 75% female) across 43 smartphone models. All tests had features with ICC > 0.5 except for one, indicating acceptable reliability for a self-administered in-home test. Usability scores averaged 95.9% reflecting high satisfaction with ease-of-use, clarity, and performance. Findings support TapTalk's potential for scalable longitudinal monitoring. Establishing reliability and usability in older adults is a critical step toward TapTalk's broader use by those with neurodegenerative diseases.

Indexed as

HandSmartphoneSpeechAgedAged, 80 and overFemaleHumansIndependent LivingMaleMiddle AgedMobile ApplicationsReproducibility of ResultsAlzheimer’sArtificial intelligenceBradykinesiaComputer visionISLANDParkinson’s

Identifiers

PMID41398493
PMCPMC12972373

What OpenQuestion holds

Textmetadata
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.