Effectiveness of Suicide Prevention Interventions: A Systematic Review and Meta-Analysis.

Emma Hofstra,Chijs van Nieuwenhuizen,Marjan Bakker,Dilana Ozgul,Iman Elfeddali, Sjakko J. de Jong,Christina M. van der Feltz-Cornelis

General Hospital Psychiatry（2020）SCI 3区

GGz Breburg | Tilburg Univ

Cited 98|Views3

Abstract

Objective: This study provides an estimate of the effect size of suicide prevention interventions and evaluates the possible synergistic effects of multilevel interventions. Method: A systematic review and meta-analysis were conducted of controlled studies evaluating suicide prevention interventions versus control published between 2011 and 2017 in PubMed, PsycINFO, and Cochrane databases. Data extraction and risk of bias assessment according to ROBINS criteria were performed by independent assessors. Cohen's delta was calculated by a random meta-analysis on completed and attempted suicides as outcomes. Meta-regression explored a possible synergistic effect in multilevel interventions. PROSPERO ID number: CRD42018094373. Results: The search yielded 16 controlled studies with a total of 252,932 participants. The meta-analysis was performed in 15 studies with 29,071 participants. A significant effect was found for suicide prevention interventions on completed suicides (d = -0.535, 95% CI -0.898; -0.171, p = .004) and on suicide attempts (d = -0.449, 95% CI -0.618; -0.280, p < .001). Regarding the synergistic effect of multilevel interventions, meta-regression showed a significantly higher effect related to the number of levels of the intervention (p = .032). Conclusions: Suicide prevention interventions are effective in preventing completed and attempted suicides and should be widely implemented. Further research should focus on multilevel interventions due to their greater effects and synergistic potential. Further research is also needed into risk appraisal for completed versus attempted suicide, as the preferred intervention strategy differs with regard to both outcomes.

Translated text

Key words

Suicide prevention,Intervention,Effectiveness,Synergism,Systematic review,Meta-analysis,Controlled studies

Bibtex

AI Read Science

AI Summary

AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.

Example

Background

Key content

Introduction

Methods

Results

Related work

Fund

Key content

Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

Try using models to generate summary,it takes about 60s

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper