Evidence map›Paper›PMID 25386719›Full record

SynthesisJournal of medical Internet research2014

eHealth literacy interventions for older adults: a systematic review of the literature.

Ivan Watkins, Bo Xie

Open access · goldAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of medical Internet research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 11 pooled it
24.4field-weighted citation impact, top 1% 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.

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

110 citing papers in PubMed, 11 syntheses or guidelines pooled it, 239 citations in OpenAlex.

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50 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Ivan WatkinsSchool of Information, The University of Texas at Austin, Austin, TX, United States. iwatkins@utexas.edu.ORCID http://orcid.org/0000-0002-4725-0504
Bo XieORCID http://orcid.org/0000-0002-6016-6008
The University of Texas at Austin · US

Funding

Improving Older Adults' E-Health Literacy With Collaborative Versus IndividualistR01AG041284 · NIA · UNIV OF MARYLAND, COLLEGE PARK · PI XIE, BO · 2011 to 2013
$876k
NIA NIH HHS R01 AG041284NIA NIH HHS R01AG041284
6 · The paper itself

Abstract

backgroundeHealth resources offer new opportunities for older adults to access health information online, connect with others with shared health interests, and manage their health. However, older adults often lack sufficient eHealth literacy to maximize their benefit from these resources.

objectiveThis review evaluates the research design, methods, and findings of eHealth literacy interventions for older adults.

methodsA systematic review of peer-reviewed research articles from 28 databases in 9 fields was carried out in January 2013. Four rounds of screening of articles in these databases resulted in a final sample of 23 articles.

resultsFindings indicated a significant gap in the literature for eHealth literacy interventions evaluating health outcomes as the outcome of interest, a lack of theory-based interventions, and few studies applied high-quality research design.

conclusionsOur findings emphasize the need for researchers to develop and assess theory-based interventions applying high-quality research design in eHealth literacy interventions targeting the older population.

Indexed as

Computer LiteracyConsumer Health InformationHealth LiteracyTelemedicineAgedDatabases as TopicFemaleHumansMaleagingcomputershealth literacy

Identifiers

PMID25386719
PMCPMC4260003
OpenAlexW2052827218

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.