Evidence map›Paper›PMID 41333109›Full record

ArticleFrontiers in digital health2025

Technical development and user experience evaluation of the Computerised version of the Sydney Test of Activities of daily living in Memory disorders (C-STAM).

Jeewani Anupama Ginige, Kritika Rana, Marcus Belcastro, Pahan Gunaratne, Sam Lillis, Katya T Numbers, Ping-Hsiu Lin, Kathy Nguyen, Minal Tanvir, Simone Reppermund

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Article in Frontiers in digital health, 2025. 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

10 authors.

Jeewani Anupama GinigeSchool of Computer, Data and Mathematical Sciences, Western Sydney University, Penrith, NSW, Australia.
Kritika RanaSchool of Computer, Data and Mathematical Sciences, Western Sydney University, Penrith, NSW, Australia.
Marcus BelcastroSchool of Computer, Data and Mathematical Sciences, Western Sydney University, Penrith, NSW, Australia.
Pahan GunaratneSchool of Computer, Data and Mathematical Sciences, Western Sydney University, Penrith, NSW, Australia.
Sam LillisSchool of Computer, Data and Mathematical Sciences, Western Sydney University, Penrith, NSW, Australia.
Katya T NumbersCentre for Healthy Brain Ageing, Faculty of Medicine and Health, School of Clinical Medicine, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia.
Ping-Hsiu LinCentre for Healthy Brain Ageing, Faculty of Medicine and Health, School of Clinical Medicine, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia.
Kathy NguyenCentre for Healthy Brain Ageing, Faculty of Medicine and Health, School of Clinical Medicine, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia.
Minal TanvirCentre for Healthy Brain Ageing, Faculty of Medicine and Health, School of Clinical Medicine, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia.
Simone ReppermundCentre for Healthy Brain Ageing, Faculty of Medicine and Health, School of Clinical Medicine, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The assessment of functional ability in older adults is critical for the early detection and management of age-related cognitive impairment, such as dementia and mild cognitive impairment (MCI). This paper presents a developmental and pilot user experience study of the online implementation and initial user experience evaluation of the Computerised version of the Sydney Test of Activities of daily living in Memory disorders (C-STAM), a new computerised diagnostic screening tool designed to assess functional ability in older adults with and without cognitive impairment. The technical development of the C-STAM involved translating the original STAM tasks into computerised versions, resulting in a scalable, accessible, and user-friendly tool with the potential for integration into regional and remote clinical practices. Key features of the C-STAM include automated scoring, hint options, text-to-speech functionality, a text-magnification tool, and other accessibility enhancements to accommodate diverse physical and cognitive limitations. Within the pilot study of the larger C-STAM trial, secondary feedback was sought from 30 participants (

Indexed as

activities of daily livingcomputerised assessmentsolder adultsuser experience evaluationuser interface design

Identifiers

PMID41333109
PMCPMC12666558

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.