Evidence map›Paper›PMID 28196791›Full record

ArticleJournal of medical Internet research2017

Use of Information and Communication Technologies Among Older People With and Without Frailty: A Population-Based Survey.

Niina Susanna Keränen, Maarit Kangas, Milla Immonen, Heidi Similä, Heidi Enwald, Raija Korpelainen, Timo Jämsä

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

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

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  18. The association of technology acceptance and physical activity on frailty in older adults during the COVID-19 pandemic period.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2023
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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

7 authors.

Niina Susanna KeränenResearch Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.ORCID 0000-0003-4495-4802
Maarit KangasResearch Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.ORCID 0000-0001-5803-4113
Milla ImmonenCenter for Life Course Health Research, University of Oulu, Oulu, Finland.ORCID 0000-0002-1128-119X
Heidi SimiläCenter for Life Course Health Research, University of Oulu, Oulu, Finland.ORCID 0000-0003-0241-1957
Heidi EnwaldMedical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.ORCID 0000-0003-1953-2157
Raija KorpelainenMedical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.ORCID 0000-0002-3627-0542
Timo JämsäResearch Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.ORCID 0000-0001-8394-9462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUse of information and communication technologies (ICT) among seniors is increasing; however, studies on the use of ICT by seniors at the highest risk of health impairment are lacking. Frail and prefrail seniors are a group that would likely benefit from preventive nutrition and exercise interventions, both of which can take advantage of ICT.

objectiveThe objective of the study was to quantify the differences in ICT use, attitudes, and reasons for nonuse among physically frail, prefrail, and nonfrail home-dwelling seniors.

methodsThis was a population-based questionnaire study on people aged 65-98 years living in Northern Finland. A total of 794 eligible individuals responded out of a contacted random sample of 1500.

resultsIn this study, 29.8% (237/794) of the respondents were classified as frail or prefrail. The ICT use of frail persons was lower than that of the nonfrail ones. In multivariable logistic regression analysis, age and education level were associated with both the use of Internet and advanced mobile ICT such as smartphones or tablets. Controlling for age and education, frailty or prefrailty was independently related to the nonuse of advanced mobile ICT (odds ratio, OR=0.61, P=.01), and frailty with use of the Internet (OR=0.45, P=.03). The frail or prefrail ICT nonusers also held the most negative opinions on the usefulness or usability of mobile ICT. When opinion variables were included in the model, frailty status remained a significant predictor of ICT use.

conclusionsPhysical frailty status is associated with older peoples' ICT use independent of age, education, and opinions on ICT use. This should be taken into consideration when designing preventive and assistive technologies and interventions for older people at risk of health impairment.

Indexed as

AgedAged, 80 and overComputers, HandheldFemaleFinlandFrail ElderlyHumansMaleMedical InformaticsSmartphoneSurveys and QuestionnairesTelecommunicationsagedfrail elderlyInternetlogistic regressionpopulation characteristicssmartphone

Identifiers

PMID28196791
PMCPMC5331186

What OpenQuestion holds

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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.