Evidence map›Paper›PMID 38188861›Full record

ArticleDigital health

"Guttmann Cognitest

Alba Roca-Ventura, Javier Solana-Sánchez, Eva Heras, Maria Anglada, Jan Missé, Encarnació Ulloa, Alberto García-Molina, Eloy Opisso, David Bartrés-Faz, Alvaro Pascual-Leone and 2 more

Open access · goldAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 100% of its field
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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

12 authors at 4 institutions in 3 countries.

Alba Roca-VenturaInstitut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain.ORCID https://orcid.org/0000-0002-9138-4294
Javier Solana-SánchezInstitut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain.
Eva HerasServei Envelliment i Salut Servei Andorrà d'Atenció Sanitària, Escaldes-Engordany, Andorra.
Maria AngladaServei Envelliment i Salut Servei Andorrà d'Atenció Sanitària, Escaldes-Engordany, Andorra.
Jan MisséServei Envelliment i Salut Servei Andorrà d'Atenció Sanitària, Escaldes-Engordany, Andorra.
Encarnació UlloaServei Envelliment i Salut Servei Andorrà d'Atenció Sanitària, Escaldes-Engordany, Andorra.
Alberto García-MolinaInstitut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain.
Eloy OpissoInstitut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain.
David Bartrés-FazInstitut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain.
Alvaro Pascual-LeoneInstitut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain.
Josep M Tormos-MuñozInstitut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain.
Gabriele CattaneoInstitut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain.
Universitat Autònoma de Barcelona · ESUniversity of Andorra · ADDepartament de Salut · ESHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As the world population continues to age, the prevalence of neurological diseases, such as dementia, poses a significant challenge to society. Detecting cognitive impairment at an early stage is vital in preserving and enhancing cognitive function. Digital tools, particularly mHealth, offer a practical solution for large-scale population screening and prompt follow-up assessments of cognitive function, thus overcoming economic and time limitations. Objective: In this work, two versions of a digital solution called Guttmann Cognitest Methods: Two hundred and one middle-aged adults used the first version (Group A), while 132 used the second one, which included improved tutorials and practice screens (Group B). This second version was also validated in an older age group (Group C). Results: This digital solution was found to be highly satisfactory in terms of usability and feasibility, with good acceptability among all three groups. Specifically for Group B, the system usability scale score obtained classifies the solution as the best imaginable in terms of usability. Conclusions: Guttmann Cognitest

Indexed as

agingcognitive declineComputerized cognitive assessmentmHealthusability

Identifiers

PMID38188861
PMCPMC10768632
OpenAlexW4390542793

What OpenQuestion 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 OpenQuestion graph.