Dataset Information

Proactive Suicide Prevention Online (PSPO): Machine Identification and Crisis Management for Chinese Social Media Users With Suicidal Thoughts and Behaviors.

ABSTRACT:

Background

Suicide is a great public health challenge. Two hundred million people attempt suicide in China annually. Existing suicide prevention programs require the help-seeking initiative of suicidal individuals, but many of them have a low motivation to seek the required help. We propose that a proactive and targeted suicide prevention strategy can prompt more people with suicidal thoughts and behaviors to seek help.

Objective

The goal of the research was to test the feasibility and acceptability of Proactive Suicide Prevention Online (PSPO), a new approach based on social media that combines proactive identification of suicide-prone individuals with specialized crisis management.

Methods

We first located a microblog group online. Their comments on a suicide note were analyzed by experts to provide a training set for the machine learning models for suicide identification. The best-performing model was used to automatically identify posts that suggested suicidal thoughts and behaviors. Next, a microblog direct message containing crisis management information, including measures that covered suicide-related issues, depression, help-seeking behavior and an acceptability test, was sent to users who had been identified by the model to be at risk of suicide. For those who replied to the message, trained counselors provided tailored crisis management. The Simplified Chinese Linguistic Inquiry and Word Count was also used to analyze the users' psycholinguistic texts in 1-month time slots prior to and postconsultation.

Results

A total of 27,007 comments made in April 2017 were analyzed. Among these, 2786 (10.32%) were classified as indicative of suicidal thoughts and behaviors. The performance of the detection model was good, with high precision (.86), recall (.78), F-measure (.86), and accuracy (.88). Between July 3, 2017, and July 3, 2018, we sent out a total of 24,727 direct messages to 12,486 social media users, and 5542 (44.39%) responded. Over one-third of the users who were contacted completed the questionnaires included in the direct message. Of the valid responses, 89.73% (1259/1403) reported suicidal ideation, but more than half (725/1403, 51.67%) reported that they had not sought help. The 9-Item Patient Health Questionnaire (PHQ-9) mean score was 17.40 (SD 5.98). More than two-thirds of the participants (968/1403, 69.00%) thought the PSPO approach was acceptable. Moreover, 2321 users replied to the direct message. In a comparison of the frequency of word usage in their microblog posts 1-month before and after the consultation, we found that the frequency of death-oriented words significantly declined while the frequency of future-oriented words significantly increased.

Conclusions

The PSPO model is suitable for identifying populations that are at risk of suicide. When followed up with proactive crisis management, it may be a useful supplement to existing prevention programs because it has the potential to increase the accessibility of antisuicide information to people with suicidal thoughts and behaviors but a low motivation to seek help.

SUBMITTER: Liu X

PROVIDER: S-EPMC6682269 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Proactive Suicide Prevention Online (PSPO): Machine Identification and Crisis Management for Chinese Social Media Users With Suicidal Thoughts and Behaviors.

Liu Xingyun X Liu Xiaoqian X Sun Jiumo J Yu Nancy Xiaonan NX Sun Bingli B Li Qing Q Zhu Tingshao T

Journal of medical Internet research 20190508 5

<h4>Background</h4>Suicide is a great public health challenge. Two hundred million people attempt suicide in China annually. Existing suicide prevention programs require the help-seeking initiative of suicidal individuals, but many of them have a low motivation to seek the required help. We propose that a proactive and targeted suicide prevention strategy can prompt more people with suicidal thoughts and behaviors to seek help.<h4>Objective</h4>The goal of the research was to test the feasibilit ...[more]

PMID: 31344675

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Project description:BackgroundDespite alarming increases in suicide deaths among preadolescent children, knowledge of the precipitants of suicide risk and the characteristics of children who seek treatment for suicidality is limited. This study's purpose is to describe children (ages 6-12) hospitalized for suicide-related concerns and compare demographic and diagnostic differences between children and adolescent (ages 13-18) patients.MethodsThis retrospective study analyzed medical records of 502 children and adolescents ages 6-18 admitted for suicide-related risk to one psychiatric inpatient hospital in southeastern United States between 2015 and 2018.ResultsPatients were predominantly White (63.5%), female (64.5%), and non-Hispanic/Latino (85.1%). We conducted descriptive analyses and a series of logistic regressions comparing children and adolescents with data extracted from discharge summaries, (i.e. primary reasons for admission, environmental stressors, and diagnostic categories). Common environmental stressors included school (63.2%) and family (60.7%), and the most common diagnosis included depressive disorders. Compared to adolescents, children were more likely to be Black (OR = 1.99), male (OR = 1.94), and receive neurodevelopmental disorder (aOR = 3.0) or trauma and stress-related disorder (aOR = 2.6) diagnoses, but less likely to be diagnosed with a depressive disorder (aOR = 0.4). Across both age-groups, Black patients were more likely to be diagnosed with neurodevelopmental disorders and less likely to receive internalizing disorder diagnoses.ConclusionsCharacteristics of children hospitalized for suicide-related risk are relatively similar to characteristics of children dying by suicide. Compared to adolescents, hospitalized children are more likely to be Black, male, and have a neurodevelopmental disorder diagnosis. Proactively identifying and providing strengths-based supports for Black boys and families appear critical for suicide prevention in children.

Dataset Information

Proactive Suicide Prevention Online (PSPO): Machine Identification and Crisis Management for Chinese Social Media Users With Suicidal Thoughts and Behaviors.

Background

Objective

Methods

Results

Conclusions

Publications

Proactive Suicide Prevention Online (PSPO): Machine Identification and Crisis Management for Chinese Social Media Users With Suicidal Thoughts and Behaviors.

Similar Datasets

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