Investigations & Research
Innovative Research Program on Suicide Countermeasures in FY2022: Report on Commissioned Research Results
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June 11, 2024
Here are the results report of the Innovative Research Programme on Suicide Countermeasures in FY 2022.
During the same fiscal year, the programme renewed its management system and followed by a public call for proposals, resulting in the 16 projects selected out of 44 applications. These 16 projects are categorized into the following three newly established fields.
- Suicide prevention for children and youth (7 projects)
- Analysis and approach towards high-risk groups for suicide (4 projects)
- Suicide countermeasures using big data, AI, etc. (5 projects)
As these projects are ongoing in FY2023, this serves as an interim report. Some results have already been implemented, while others are transitioning into full-fledged research. Certain outcomes will be delivered after this fiscal year, while the remainder will be presented as final results in FY2025.
While this programme fosters interdisciplinary exchange among researchers in various fields, engaging between policymakers and practitioners in the field of suicide prevention is expected to enhance practicality through dialogue.
We hope that this report will provide an opportunity to innovate comprehensive suicide countermeasures.
September 2023
Innovative Research Program on Suicide Countermeasures
Ministry of Health, Labour, and Welfare Designated Association/General Incorporated Association
Japan Suicide Countermeasures Promotion Center
Takashi Nishio (Manager, Department of Research and Analytics)
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Innovative Research Program on Suicide Countermeasures in FY2022: Report on Commissioned Research Results
Field 1: Suicide prevention for children and youth
| Topic number/ Research topic | Principal Researcher / Institution＊ | Results | ||
|
R4-1-1 |
The Effectiveness of an Online Truancy Intervention Program on School Reintegration |
Toshiki Ikeda |
Katariba (Approved Specified Non-Profit Organization) |
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R4-1-2 |
Development of School-Community Collaboration Model for Education on How to Send SOS Intervention |
Shingo Ebata |
Chukyogakuin University |
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R4-1-3 |
Elucidating the algorithm for predicting student suicide risk: a large-scale empirical study in primary and secondary schools across the country using the Suicide Risk Assessment Tool (RAMPS). |
Yuko Kitagawa |
Center for Research on Counseling and Support Services, |
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R4-1-4 |
A Large-Scale Survey Targeting All Pediatricians: Research on Identifying Challenges and Providing Policy Recommendations for Constructing a ' Safety Net to prevent Child and adolescent Suicide: SANCS’ |
Soken Go |
Department of Pediatrics and Adolescent Medicine, |
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R4-1-5 |
Social Implementation of Tele-mental Health Care for Depression in Children and Development of Early Treatment System -Collaboration with KOKOROBO and Children's Registry of Mental Disorders |
Tsuyoshi Sasaki |
Department of Child Psychiatry and Psychiatry, |
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R4-1-6 |
Development of suicide prevention program for AYA generation focusing on social isolation and loneliness among college students and perinatal women. |
Takeo Fujiwara |
Department of Global Health Promotion, |
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R4-1-7 |
What does it take for teachers to be effective gatekeepers for students at high risk of suicide? |
Jun-ichi Mekuta |
Associate Professor, Faculty of Psychology and Child Education, |
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＊The Institution of the principal investigator is as of March 31, 2023.
Field 2: Analysis and approach towards high-risk groups for suicide
| Topic number/ Research topic | Principal Researcher / Institution＊ | Results | ||
|
R4-2-1 |
Examination of cognitive function and cognitive bias for the prediction and prevention of suicidal behaviors in individuals with traumatic experiences |
Yoshiharu Kim |
National Institute of Mental Health, |
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R4-2-2 |
Comprehensive study on understanding, preventing and intervening to suicide and self-injury among high-risk youth with delinquent behaviour |
Masaru Takahashi |
Faculty of Core Research, |
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R4-2-3 |
Nationwide Analysis of Suicide in Cancer Patients and Examination of Suicide Prevention Programs at Cancer Clinics |
Maiko Fujimori |
Institute for Cancer Control, Division of Supportive Care, Survivorship and Translational Research, |
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R4-2-4 |
Analysis of medical consultation condition by suicide attempters using DPC and claim data |
Shinya Matsuda |
Department of Preventive Medicine and Community Health, School of Medicine |
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＊The Institution of the principal investigator is as of March 31, 2023.
Field 3: Suicide countermeasures using big data, AI, etc.
| Topic number/ Rresearch topic | Principal Researcher / Institution＊ | Results | ||
|
R4-3-1 |
Mental Health DX Project using AI analysis of visual information |
Junko Okuyama |
Department of Rehabilitation, |
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R4-3-2 |
Research on the use of IoT to promote children's help-seeking behavior |
Junya Kubo |
Graduate School for Teacher Training, |
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R4-3-3 |
Research on promoting the utilization of micro data such as statistics that contribute to post-corona suicide countermeasures |
Hiroe Tsubaki |
Inter-University Research Institute Corporation Research Organization of Information and Systems (ROIS), |
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R4-3-4 |
Big data analysis and construction of a new training system aimed at training gatekeepers of drug overdose: Prevention of drug overdose based on local pharmacies as a base for “awareness” and “attentive hearing” |
Kazuki Nagashima |
Laboratory of Clinical Pharmaceutics, Faculty of Pharma-Science, |
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R4-3-5 |
Investigation of Suicide Risk by Real World Data Using Cohort Database Combining National Database of Health Insurance Claims and Unnatural Death Database in Hyogo Prefecture. |
Daisuke Miyamori |
Department of General Internal Medicine, |
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＊The Institution of the principal investigator is as of March 31, 2023.
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