Evidence map›Paper›PMID 35991080›Full record

ArticleTechnology in society2022

Technology use characteristics among older adults during the COVID-19 pandemic: A cross-cultural survey.

Ortal Cohen Elimelech, Simona Ferrante, Naomi Josman, Sonya Meyer, Francesca Lunardini, Jonathan Gómez-Raja, Carmen Galán, Pilar Cáceres, Piera Sciama, Marianne Gros and 2 more

Abstract read
In one paragraph

Article in Technology in society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Beyond the Digital Divide: Factors Associated With Adoption of Technologies Related to Aging in Place.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2025
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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.

Ortal Cohen ElimelechThe Laboratory of Complex Human Activity and Participation, Department of Occupational Therapy, University of Haifa, Israel.
Simona FerranteDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy.
Naomi JosmanDepartment of Occupational Therapy, University of Haifa, Israel.
Sonya MeyerDepartment of Occupational Therapy, Ariel University, Ariel, Israel.
Francesca LunardiniDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy.
Jonathan Gómez-RajaFundeSalud, Government of Extremadura, Spain.
Carmen GalánFundeSalud, Government of Extremadura, Spain.
Pilar CáceresFundeSalud, Government of Extremadura, Spain.
Piera SciamaE-Seniors NTIC Association, France.
Marianne GrosE-Seniors NTIC Association, France.
Clodia VurroDepartment of Economics, Management and Quantitative Methods, University of Milan, Italy.
Sara RosenblumThe Laboratory of Complex Human Activity and Participation, Department of Occupational Therapy, University of Haifa, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personal computers, tablets, and smartphones may support older adults' engagement when people are required to stay home and opportunities to engage in meaningful activities are reduced during the COVID-19 period. This study aims to screen older adults' technology-use characteristics across social, leisure, and education domains during the COVID-19 pandemic from a crosscultural viewpoint. The sample included 576 participants aged 60 and older from France (

Indexed as

COVID-19Cultural differenceOlder adultTechnology-use characteristics

Identifiers

PMID35991080
PMCPMC9376146

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.