Evidence map›Paper›PMID 39540195›Full record

ArticleCureus2024

Digital Competence Among Older Adults: Is Self-Assessment Reliable?

Mircea-Dan Marzan, Andreea Stamate, Luiza Spiru

Abstract read
In one paragraph

Article in Cureus, 2024. 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
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.

  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

3 authors.

Mircea-Dan MarzanGeriatrics, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.
Andreea StamateResearch, Ana Aslan International Foundation, Bucharest, ROU.
Luiza SpiruGeriatrics and Gerontology, Ana Aslan International Foundation, Bucharest, ROU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDigital technology holds promise for addressing age-related challenges such as diminished physical and cognitive abilities, chronic conditions, and shifts in social connections. Individual proficiency in computer and internet skills influences technology adoption, correlated with advanced usage, positive attitudes, and self-efficacy. Despite extensive research on digital competence among younger demographics, there is a noticeable gap in inclusive design and research for older adults, with existing assessments often overlooking user ability diversity. The aim of this study is to evaluate the reliability of self-assessment as a method for measuring digital skills among older adults by comparing self-reported competence with objective assessments using the digital foundation skills framework.

methodsA between-subjects design was used to explore the reliability of self-assessment in evaluating digital skills among older adults, comparing self-assessed and objective assessments using the digital foundation skills framework. This framework encompasses six domains and provides statements and practical examples for self-assessment and objective evaluation of digital competence. Data were collected from 51 Romanian adults over the age of 60 using an online survey for the subjective assessment and laboratory testing for the objective assessment.

resultsSignificant disparities were found between self-assessed and actual performance in three domains: digital foundation skills, communicating, and problem-solving. However, older adults accurately assessed their performance in handling information and content, transacting, and being safe and legal online.

conclusionGiven the lack of a consistent pattern of overestimation or underestimation, objective assessment is recommended for precise digital competence evaluation.

Indexed as

digital competencedigital technologyobjective evaluationolder adultsself-assessment

Identifiers

PMID39540195
PMCPMC11560093

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LicenceCC BY
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Registered trials

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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.