Evidence map›Paper›PMID 30545811›Full record

ArticleJMIR mental health2018

Monitoring Online Discussions About Suicide Among Twitter Users With Schizophrenia: Exploratory Study.

Yulin Hswen, John A Naslund, John S Brownstein, Jared B Hawkins

Abstract read
In one paragraph

Article in JMIR mental health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

  1. Pooled it
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  8. Using Twitter to Assess Stigma to Schizophrenia and Psychosis: A Qualitative Study.Turk psikiyatri dergisi = Turkish journal of psychiatry · 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

4 authors.

Yulin HswenDepartment of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States.ORCID http://orcid.org/0000-0003-3203-1322
John A NaslundDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA, United States.ORCID http://orcid.org/0000-0001-6777-0104
John S BrownsteinInformatics Program, Boston Children's Hospital, Boston, MA, United States.ORCID http://orcid.org/0000-0001-8568-5317
Jared B HawkinsInformatics Program, Boston Children's Hospital, Boston, MA, United States.ORCID http://orcid.org/0000-0002-6352-1618

Funding

TrainingU54HG007963 · NHGRI · HARVARD MEDICAL SCHOOL · PI KOHANE, ISAAC S., MURPHY, SHAWN N · 2014 to 2018
$18.3M
ESSENCE (Enabling translation of Science to Service to ENhance Depression CarE) Scale-UpU19MH113211 · NIMH · HARVARD MEDICAL SCHOOL · PI NASLUND, JOHN A, PATEL, VIKRAM H · 2017 to 2023
$3.7M
NHGRI NIH HHS U54 HG007963NIMH NIH HHS U19 MH113211
6 · The paper itself

Abstract

backgroundPeople with schizophrenia experience elevated risk of suicide. Mental health symptoms, including depression and anxiety, contribute to increased risk of suicide. Digital technology could support efforts to detect suicide risk and inform suicide prevention efforts.

objectiveThis exploratory study examined the feasibility of monitoring online discussions about suicide among Twitter users who self-identify as having schizophrenia.

methodsPosts containing the terms suicide or suicidal were collected from a sample of Twitter users who self-identify as having schizophrenia (N=203) and a random sample of control users (N=173) over a 200-day period. Frequency and timing of posts about suicide were compared between groups. The associations between posting about suicide and common mental health symptoms were examined.

resultsTwitter users who self-identify as having schizophrenia posted more tweets about suicide (mean 7.10, SD 15.98) compared to control users (mean 1.89, SD 4.79; t

conclusionsTwitter users who self-identify as having schizophrenia appear to commonly discuss suicide on social media, which is associated with greater discussion about other mental health symptoms. These findings should be interpreted cautiously, as it is not possible to determine whether online discussions about suicide correlate with suicide risk. However, these patterns of online discussion may be indicative of elevated risk of suicide observed in this patient group. There may be opportunities to leverage social media for supporting suicide prevention among individuals with schizophrenia.

Indexed as

digital technologymental healthschizophreniasocial mediasuicideTwitter

Identifiers

PMID30545811
PMCPMC6315229

What OpenQuestion holds

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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.