Evidence map›Paper›PMID 29070481›Full record

ArticleJournal of medical Internet research2017

Examining Internet and eHealth Practices and Preferences: Survey Study of Australian Older Adults With Subjective Memory Complaints, Mild Cognitive Impairment, or Dementia.

Haley M LaMonica, Amelia English, Ian B Hickie, Jerome Ip, Catriona Ireland, Stacey West, Tim Shaw, Loren Mowszowski, Nick Glozier, Shantel Duffy and 2 more

Registry-linked trialOpen access · goldAbstract 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. It is linked to trial NCT05568381 (Sleep Disturbance in MCI), which is not on this map. Cited by 60 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 4 pooled it
5.6field-weighted citation impact, top 3% 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.

NCT05568381 nacompletednot on this mapstarted 2023, after this paper: background citation

Sleep Disturbance in MCI: A Pilot Study of a Cognitive Behavioural Therapy Digital Intervention (SUCCEED)

TypeinterventionalSponsorUniversity of SydneyRan2023 to 2023Enrolled40ConditionsCognitive Dysfunction, Insomnia, Mild Cognitive Impairment, Cognitive DisorderArmsdigital CBT-I, Online Sleep Health Education package
3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 4 syntheses or guidelines pooled it, 117 citations in OpenAlex.

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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 at 1 institution in 1 country.

Haley M LaMonicaBrain and Mind Centre, University of Sydney, Camperdown, Australia.ORCID 0000-0002-6563-5467
Amelia EnglishBrain and Mind Centre, Faculty of Medicine, University of Sydney, Camperdown, Australia.ORCID 0000-0001-5121-0495
Ian B HickieBrain and Mind Centre, Faculty of Medicine, University of Sydney, Camperdown, Australia.ORCID 0000-0001-8832-9895
Jerome IpBrain and Mind Centre, University of Sydney, Camperdown, Australia.ORCID 0000-0002-5738-5074
Catriona IrelandBrain and Mind Centre, University of Sydney, Camperdown, Australia.ORCID 0000-0002-7226-8466
Stacey WestBrain and Mind Centre, University of Sydney, Camperdown, Australia.ORCID 0000-0002-4440-9807
Tim ShawCharles Perkins Centre, Faculty of Health Science, University of Sydney, Camperdown, Australia.ORCID 0000-0003-0783-1918
Loren MowszowskiBrain and Mind Centre, University of Sydney, Camperdown, Australia.ORCID 0000-0002-7534-5017
Nick GlozierBrain and Mind Centre, Faculty of Medicine, University of Sydney, Camperdown, Australia.ORCID 0000-0002-0476-9146
Shantel DuffyBrain and Mind Centre, University of Sydney, Camperdown, Australia.ORCID 0000-0001-9586-4730
Alice A GibsonCharles Perkins Centre, Faculty of Medicine, University of Sydney, Camperdown, Australia.ORCID 0000-0001-8750-9720
Sharon L NaismithBrain and Mind Centre, University of Sydney, Camperdown, Australia.ORCID 0000-0001-9076-2778
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterest in electronic health (eHealth) technologies to screen for and treat a variety of medical and mental health problems is growing exponentially. However, no studies to date have investigated the feasibility of using such e-tools for older adults with mild cognitive impairment (MCI) or dementia.

objectiveThe objective of this study was to describe patterns of Internet use, as well as interest in and preferences for eHealth technologies among older adults with varying degrees of cognitive impairment.

methodsA total of 221 participants (mean age=67.6 years) attending the Healthy Brain Ageing Clinic at the University of Sydney, a specialist mood and memory clinic for adults ≥50 years of age, underwent comprehensive clinical and neuropsychological assessment and completed a 20-item self-report survey investigating current technology use and interest in eHealth technologies. Descriptive statistics and Fisher exact tests were used to characterize the findings, including variability in the results based on demographic and diagnostic factors, with diagnoses including subjective cognitive impairment (SCI), MCI, and dementia.

resultsThe sample comprised 27.6% (61/221) SCI, 62.0% (137/221) MCI, and 10.4% (23/221) dementia (mean Mini-Mental State Examination=28.2). The majority of participants reported using mobile phones (201/220, 91.4%) and computers (167/194, 86.1%) routinely, with most respondents having access to the Internet at home (204/220, 92.6%). Variability was evident in the use of computers, mobile phones, and health-related websites in relation to sociodemographic factors, with younger, employed respondents with higher levels of education being more likely to utilize these technologies. Whereas most respondents used email (196/217, 90.3%), the use of social media websites was relatively uncommon. The eHealth intervention of most interest to the broader sample was memory strategy training, with 82.7% (172/208) of participants reporting they would utilize this form of intervention. Preferences for other eHealth interventions varied in relation to educational level, with university-educated participants expressing greater interest in interventions related to mood (P=.01), socialization (P=.02), memory (P=.01), and computer-based exercises (P=.046). eHealth preferences also varied in association, with diagnosis for interventions targeting sleep (P=.01), nutrition (P=.004), vascular risk factors (P=.03), and memory (P=.02).

conclusionsTechnology use is pervasive among older adults with cognitive impairment, though variability was noted in relation to age, education, vocational status, and diagnosis. There is also significant interest in Web-based interventions targeting cognition and memory, as well as other risk factors for cognitive decline, highlighting the urgent need for the development, implementation, and study of eHealth technologies tailored specifically to older adults, including those with MCI and early dementia. Strategies to promote eHealth use among older adults who are retired or have lower levels of education will also need to be considered.

Indexed as

AgedAustraliaCognition DisordersDementiaFemaleHumansInternetMaleMemory DisordersRisk FactorsSurveys and QuestionnairesTelemedicineAlzheimer diseasedementiaeHealthInternetmild cognitive impairment

Identifiers

PMID29070481
PMCPMC6257301
OpenAlexW2766134245

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.