The intersection of implementation science and community-based suicide prevention research: opportunities to advance the field

2021 ◽  
Author(s):  
Allison M. Gustavson ◽  
Eric J. Linskens ◽  
Nina A. Sayer ◽  
Maureen Murdoch ◽  
Noah Venables ◽  
...  
Keyword(s):  
Implementation Science ◽  
Suicide Prevention ◽  
Prevention Research ◽  
Community Based ◽  
Research Opportunities

scholarly journals Community-based Suicide Prevention Research in Remote On-Reserve First Nations Communities

2009 ◽  
Vol 8 (2) ◽  
pp. 258-270 ◽  
Author(s):  
Corinne A. Isaak ◽  
◽  
Mike Campeau ◽  
Laurence Y. Katz ◽  
Murray W. Enns ◽  
...  
Keyword(s):  
First Nations ◽  
Suicide Prevention ◽  
Prevention Research ◽  
Community Based

scholarly journals UTILIZING NUTRITION SERVICES PROVIDERS TO PREVENT LATE-LIFE SUICIDE: IMPLEMENTING A RANDOMIZED, CONTROLLED TRIAL

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S824-S825
Author(s):  
Matthew C Fullen ◽  
Mary Chase Mize ◽  
Laura R Shannonhouse
Keyword(s):  
Randomized Controlled Trial ◽  
Suicide Prevention ◽  
Controlled Trial ◽  
Late Life ◽  
Warning Signs ◽  
Community Based ◽  
Randomized Controlled ◽  
Nutrition Services ◽  
Suicide Prevention Training ◽  
The Impact

Abstract A challenge in preventing late-life suicide is identifying and responding to persons-at-risk prior to a suicide attempt. Distressed older adults are less likely to turn to a mental health professional, meaning that community-based prevention strategies are vitally important to comprehensive prevention frameworks. Due to their “natural helper” role, nutrition services (NS) volunteers may be well-positioned to identify suicide warning signs and respond accordingly. Unfortunately, there is a lack of systematic, empirically-tested evaluations of the effectiveness of community-based strategies to prevent older adult suicide, including the use of NS volunteers. To remedy this, the authors partnered with several home- and community-based service organizations to measure the impact of training nutrition services volunteers in suicide prevention skills. The authors will present preliminary findings from this federally-funded randomized, controlled trial of suicide prevention training (i.e., ASIST; safeTALK) on late-life suicidality and its correlates.

Harnessing quality improvement and implementation science to support the implementation of suicide prevention practices in juvenile detention.

Psychotherapy ◽  
2021 ◽  
Author(s):  
Brittany N. Rudd ◽  
Jacquelyn M. George ◽  
Sean E. Snyder ◽  
Mynesha Whyte ◽  
Lauren Cliggitt ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Implementation Science ◽  
Suicide Prevention ◽  
Juvenile Detention

Moving alcohol prevention research forward-Part II: new directions grounded in community-based system dynamics modeling

Addiction ◽  
2017 ◽  
Vol 113 (2) ◽  
pp. 363-371 ◽  
Author(s):  
Yorghos Apostolopoulos ◽  
Michael K. Lemke ◽  
Adam E. Barry ◽  
Kristen Hassmiller Lich
Keyword(s):  
System Dynamics ◽  
Alcohol Prevention ◽  
Prevention Research ◽  
System Dynamics Modeling ◽  
Dynamics Modeling ◽  
Community Based ◽  
New Directions ◽  
Forward Part

scholarly journals Telecommunication and Suicide Prevention: Hopes and Challenges for the New Century

2007 ◽  
Vol 55 (3) ◽  
pp. 237-253 ◽  
Author(s):  
Karolina E. Krysinska ◽  
Diego De Leo
Keyword(s):  
Suicide Prevention ◽  
Crisis Intervention ◽  
Suicide Risk ◽  
Prevention Research ◽  
Suicide Risk Assessment ◽  
Training And Education ◽  
Wide Range ◽  
Prevention Training ◽  
Suicide Prevention Training ◽  
Internet Telephone

Development of information technology has created new opportunities and challenges in suicide prevention, research, and clinical practice. This article presents an overview of the wide range of telecommunication-based suicide prevention approaches. Interventions using the Internet, telephone, and videoconferencing are discussed, including crisis intervention, referral, and support, suicide risk assessment, psychotherapy for individuals at risk, and online-based suicide prevention training and education. Research regarding effectiveness of telecommunication-based suicide prevention in various demographic and clinical populations is reviewed, as well as concerns regarding this type of intervention. Future areas of research and development in the use of telecommunication media in prevention of suicide are discussed.

Leveraging data science to enhance suicide prevention research: a literature review

2021 ◽  
pp. injuryprev-2021-044322
Author(s):  
Avital Rachelle Wulz ◽  
Royal Law ◽  
Jing Wang ◽  
Amy Funk Wolkin
Keyword(s):  
Risk Factors ◽  
Literature Review ◽  
Injury Prevention ◽  
Suicide Prevention ◽  
Data Science ◽  
Population Level ◽  
Individual Risk ◽  
Prevention Research ◽  
Science Method ◽  
Individual Level

ObjectiveThe purpose of this research is to identify how data science is applied in suicide prevention literature, describe the current landscape of this literature and highlight areas where data science may be useful for future injury prevention research.DesignWe conducted a literature review of injury prevention and data science in April 2020 and January 2021 in three databases.MethodsFor the included 99 articles, we extracted the following: (1) author(s) and year; (2) title; (3) study approach (4) reason for applying data science method; (5) data science method type; (6) study description; (7) data source and (8) focus on a disproportionately affected population.ResultsResults showed the literature on data science and suicide more than doubled from 2019 to 2020, with articles with individual-level approaches more prevalent than population-level approaches. Most population-level articles applied data science methods to describe (n=10) outcomes, while most individual-level articles identified risk factors (n=27). Machine learning was the most common data science method applied in the studies (n=48). A wide array of data sources was used for suicide research, with most articles (n=45) using social media and web-based behaviour data. Eleven studies demonstrated the value of applying data science to suicide prevention literature for disproportionately affected groups.ConclusionData science techniques proved to be effective tools in describing suicidal thoughts or behaviour, identifying individual risk factors and predicting outcomes. Future research should focus on identifying how data science can be applied in other injury-related topics.

Multilevel approaches in adult suicide prevention

2021 ◽  
pp. 665-670
Author(s):  
Ulrich Hegerl ◽  
Ines Heinz ◽  
Juliane Hug
Keyword(s):  
Suicide Prevention ◽  
Suicide Attempts ◽  
Synergistic Effects ◽  
Public Awareness ◽  
Risk Groups ◽  
Primary Care Providers ◽  
Community Based ◽  
The Media ◽  
Different Cultures ◽  
Multilevel Interventions

The next steps forward in suicide prevention are to learn (i) how to best combine single measures into a multilevel intervention in order to create additive and synergistic effects and (ii) how to implement them in the communities in different cultures and healthcare systems. A narrative review based on findings and experiences from existing community-based multilevel interventions which have provided some evidence for preventive effects on suicidal behaviour is presented. Most multilevel interventions combine training for primary care providers and gatekeepers, public awareness activities, restricting access to lethal means, engaging with the media, and support for high risk groups. However, effects on completed suicides and/or suicide attempts have only been reported for a few interventions. The best evaluated community-based intervention is the four-level programme offered by the European Alliance Against Depression (EAAD; implemented in over 115 regions in 15 countries by 2019).

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