Evidence map›Paper›PMID 40290274›Full record

ArticleDigital health

Sociodemographic and health predictors of adherence to self-administered computerized cognitive assessment.

Marisa Magno, Ana Isabel Martins, Joana Pais, Vítor Tedim Cruz, Anabela G Silva, Nelson Pacheco Rocha

Abstract read
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Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

6 authors.

Marisa MagnoDepartment of Medical Sciences, University of Aveiro, Aveiro, Portugal.ORCID https://orcid.org/0000-0003-1581-8350
Ana Isabel MartinsCenter for Health Technology and Services Research - CINTESIS@RISE, School of Health Sciences, University of Aveiro, Aveiro, Portugal.ORCID https://orcid.org/0000-0002-5220-0528
Joana PaisEPIUnit - Institute of Public Health, Laboratory for Integrative and Translational Research in Population Health (ITR), University of Porto, Porto, Portugal.ORCID https://orcid.org/0000-0003-4663-8184
Vítor Tedim CruzEPIUnit - Institute of Public Health, Laboratory for Integrative and Translational Research in Population Health (ITR), University of Porto, Porto, Portugal.ORCID https://orcid.org/0000-0002-5333-4771
Anabela G SilvaCenter for Health Technology and Services Research - CINTESIS@RISE, School of Health Sciences, University of Aveiro, Aveiro, Portugal.ORCID https://orcid.org/0000-0002-4386-5851
Nelson Pacheco RochaIEETA - Institute of Electronics and Informatics Engineering of Aveiro, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal.ORCID https://orcid.org/0000-0003-3801-7249

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cognitive assessment is essential to detect early cognitive decline and guide interventions. Self-administered computerized assessment is a promising option for periodic cognitive screening in the general population. One of the most critical challenges to implementing cognitive screening in at risk populations is participants' adherence. However, there is insufficient evidence to determine which factors are essential for adherence to long-term digital cognitive screening. Aims: This study aims to investigate potential sociodemographic and health predictors of adherence to a self-administered web-based cognitive monitoring, the Brain on Track (BoT), in the general population. Methods: Participants ( Results: Being older positively affects adherence to periodic cognitive screening for both follow-up periods. Being a female, having more years of formal education, presenting more BoT baseline correct answers and fewer BoT baseline incorrect answers, and reporting memory complaints positively affect adherence to periodic screening at 3 to 6 years of follow-up but not at 1-year follow-up. Discussion: The identified determinants of adherence can be considered when planning long-term cognitive screening protocols to increase adherence. Specific strategies could be helpful to improve the adherence of participants who adhere less.

Indexed as

adherenceBrain on TrackCognitive screeninggeneral populationself-administered computerized cognitive assessmentsociodemographic and health predictors

Identifiers

PMID40290274
PMCPMC12032462

What OpenQuestion holds

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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.