Evidence map›Paper›PMID 22712756›Full record

ArticleJournal of mental health (Abingdon, England)2012

Can't surf, won't surf: the digital divide in mental health.

Liam Ennis, Diana Rose, Mike Denis, Ninjeri Pandit, Til Wykes

Abstract read
In one paragraph

Article in Journal of mental health (Abingdon, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

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

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  15. Ethical challenges in contemporary psychiatry: an overview and an appraisal of possible strategies and research needs.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2024
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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

5 authors.

Liam EnnisHealth Services and Population Research Department, Institute of Psychiatry, London, UK. liam.ennis@kcl.ac.uk
Diana Rose
Mike Denis
Ninjeri Pandit
Til Wykes

Funding

Department of Health RP-PG-0606-1050
6 · The paper itself

Abstract

backgroundNew health information technology (HIT) increasingly plays a role in health care as technology becomes cheaper and more widespread. However, there is a danger that those who do not use or have access to technology will not benefit from HIT innovations, thus creating a "digital divide".

aimsTo assess the extent to which mental health service users have access to, skills in using and appetite for various technologies.

methodsA cross-sectional survey was used to assess technology use and access patterns of 121 people from community mental health services. Data were analysed using logistic regression.

resultsTechnology use and access were very similar to that of the general population with older individuals reporting less familiarity, access and confidence across a range of technologies. Black, minority and ethnic (BME) groups were more likely to access computers outside of their own homes than white individuals. Older participants experiencing psychosis indicated a desire to increase their computer use.

conclusionsThe findings reported here contrast with recent evidence suggesting that those who do not engage with technology are "self-excluders". Furthermore, BME groups may need extra support regarding provision of technology in order to engage with HIT.

Indexed as

Attitude to ComputersHealth Services AccessibilityPatient Acceptance of Health CareTelemedicineAdolescentAdultAgedCommunity Mental Health ServicesCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMental DisordersMiddle AgedSocioeconomic Factors

Identifiers

PMID22712756
PMCPMC3433178

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.