Evidence map›Paper›PMID 27845533›Full record

ArticlePsychiatric rehabilitation journal2016

How people with serious mental illness use smartphones, mobile apps, and social media.

John A Naslund, Kelly A Aschbrenner, Stephen J Bartels

Abstract read
In one paragraph

Article in Psychiatric rehabilitation journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 2 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

61 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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1 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

3 authors.

John A NaslundHealth Promotion Research Center at Dartmouth.
Kelly A AschbrennerHealth Promotion Research Center at Dartmouth.
Stephen J BartelsHealth Promotion Research Center at Dartmouth.

Funding

Health Promotion and Disease Prevention Research CenterU48DP005018 · DP · DARTMOUTH COLLEGE · PI ADACHI-MEJIA, ANNA MARIA · 2014 to 2018
$5.6M
Statewide Intervention to Reduce Early Mortality in Persons with Mental IllnessR01MH089811 · NIMH · DARTMOUTH COLLEGE · PI BARTELS, STEPHEN J · 2010 to 2014
$2.7M
Early Career Development Program for Patient-Centered Outcomes ResearchK12HS021695 · AHRQ · DARTMOUTH COLLEGE · PI BARTELS, STEPHEN J · 2012 to 2013
$890k
ACL HHS U48DP005018AHRQ HHS K12 HS021695NCCDPHP CDC HHS U48 DP005018NIMH NIH HHS R01 MH089811
6 · The paper itself

Abstract

objectiveResearch shows that people with serious mental illness are increasingly using mobile devices. Less is known about how these individuals use their mobile devices or whether they access social media. We surveyed individuals with serious mental illness to explore their use of these technologies.

methodIndividuals with serious mental illness engaged in lifestyle interventions through community mental health centers completed a survey about their use of mobile and online technologies. Responses were compared with data from the general population.

resultsAmong respondents (n = 70), 93% owned cellphones, 78% used text messaging, 50% owned smartphones, and 71% used social media such as Facebook. Most respondents reported daily use of text messaging, mobile apps, and social media. Technology use was comparable to the general population, though smartphone ownership was lower. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: These findings can inform future interventions that fully leverage this group's use of popular digital technologies. (PsycINFO Database Record

Indexed as

Mobile ApplicationsSmartphoneSocial MediaCell PhoneCommunity Mental Health CentersHumansMental Disorders

Identifiers

PMID27845533
PMCPMC5125865

What OpenQuestion holds

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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.