Evidence map›Paper›PMID 40390581›Full record

ArticleJournal of Korean medical science2025

Practicability of Suicide Reduction Target in Korean Suicide Prevention Policy: Insights From Time Series Analysis.

Seunghyong Ryu, Seon-Hwa Baek, Min Jhon, Honey Kim, Ju-Yeon Lee, Jae-Min Kim, Sung-Wan Kim

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Article in Journal of Korean medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

7 authors.

Seunghyong RyuDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.ORCID https://orcid.org/0000-0001-6127-760X
Seon-Hwa BaekDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.ORCID https://orcid.org/0000-0001-8238-6303
Min JhonDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.ORCID https://orcid.org/0000-0002-0408-768X
Honey KimDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.ORCID https://orcid.org/0000-0002-6533-9588
Ju-Yeon LeeDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.ORCID https://orcid.org/0000-0003-0653-7223
Jae-Min KimDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.ORCID https://orcid.org/0000-0001-7409-6306
Sung-Wan KimDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.ORCID https://orcid.org/0000-0002-6739-2163

Funding

Korea Health Industry Development Institute HI22C0219
6 · The paper itself

Abstract

backgroundThis study evaluated the practicability of the suicide rate reduction target set by the current national suicide prevention policy in Korea, the fifth Master Plan for Suicide Prevention (2023-2027). This policy aims to lower the suicide rate from 26/100,000 in 2021 to 18.2/100,000 by 2027.

methodsWe utilized monthly suicide statistics data from 2011 onwards. Using Bayesian regression and Autoregressive Integrated Moving Average (ARIMA) models, we conducted interrupted time series analyses to estimate the effect of the previous policy, the National Action Plan for Suicide Prevention (2018-2022), on suicide rates. We assumed this as the additional suicide reduction expected from the current policy. We generated point predictions and simulations for suicide rates from 2023 to 2027 using Bayesian regression and ARIMA models.

resultsThe interrupted time series analyses did not reveal a significant reduction in suicides attributable to the previous policy. Point predictions from the two models indicated that the suicide rate would remain approximately 24/100,000 in 2027. Almost all of the simulations of the 2027 suicide rate did not meet the policy target of 18.2/100,000.

conclusionThe findings suggest that the Korean government's suicide rate reduction target for 2027 is likely unattainable based on current trends and the limited effectiveness of previous policies. The objectives of suicide prevention policies should be evidence-based, attainable, and accountable.

Indexed as

SuicideSuicide PreventionBayes TheoremHealth PolicyHumansInterrupted Time Series AnalysisRepublic of KoreaInterrupted Time Series AnalysisPolicyPredictionSimulationSuicide

Identifiers

PMID40390581
PMCPMC12089691

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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.