Dynamic Simulation Models of Suicide and Suicide-Related Behaviors: Systematic Review
BackgroundSuicide remains a public health priority worldwide with over 700,000 deaths annually, ranking as a leading cause of death among young adults. Traditional research methodologies have often fallen short in capturing the multifaceted nature of suicide, focusing on isol...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2024-12-01
|
| Series: | JMIR Public Health and Surveillance |
| Online Access: | https://publichealth.jmir.org/2024/1/e63195 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850057047105601536 |
|---|---|
| author | Genevieve Gariepy Rifat Zahan Nathaniel D Osgood Benjamin Yeoh Eva Graham Heather Orpana |
| author_facet | Genevieve Gariepy Rifat Zahan Nathaniel D Osgood Benjamin Yeoh Eva Graham Heather Orpana |
| author_sort | Genevieve Gariepy |
| collection | DOAJ |
| description |
BackgroundSuicide remains a public health priority worldwide with over 700,000 deaths annually, ranking as a leading cause of death among young adults. Traditional research methodologies have often fallen short in capturing the multifaceted nature of suicide, focusing on isolated risk factors rather than the complex interplay of individual, social, and environmental influences. Recognizing these limitations, there is a growing recognition of the value of dynamic simulation modeling to inform suicide prevention planning.
ObjectiveThis systematic review aims to provide a comprehensive overview of existing dynamic models of population-level suicide and suicide-related behaviors, and to summarize their methodologies, applications, and outcomes.
MethodsEight databases were searched, including MEDLINE, Embase, PsycINFO, Scopus, Compendex, ACM Digital Library, IEEE Xplore, and medRxiv, from inception to July 2023. We developed a search strategy in consultation with a research librarian. Two reviewers independently conducted the title and abstract and full-text screenings including studies using dynamic modeling methods (eg, System Dynamics and agent-based modeling) for suicide or suicide-related behaviors at the population level, and excluding studies on microbiology, bioinformatics, pharmacology, nondynamic modeling methods, and nonprimary modeling reports (eg, editorials and reviews). Reviewers extracted the data using a standardized form and assessed the quality of reporting using the STRESS (Strengthening the Reporting of Empirical Simulation Studies) guidelines. A narrative synthesis was conducted for the included studies.
ResultsThe search identified 1574 studies, with 22 studies meeting the inclusion criteria, including 15 System Dynamics models, 6 agent-based models, and 1 microsimulation model. The studies primarily targeted populations in Australia and the United States, with some focusing on hypothetical scenarios. The models addressed various interventions ranging from specific clinical and health service interventions, such as mental health service capacity increases, to broader social determinants, including employment programs and reduction in access to means of suicide. The studies demonstrated the utility of dynamic models in identifying the synergistic effects of combined interventions and understanding the temporal dynamics of intervention impacts.
ConclusionsDynamic modeling of suicide and suicide-related behaviors, though still an emerging area, is expanding rapidly, adapting to a range of questions, settings, and contexts. While the quality of reporting was overall adequate, some studies lacked detailed reporting on model transparency and reproducibility. This review highlights the potential of dynamic modeling as a tool to support decision-making and to further our understanding of the complex dynamics of suicide and its related behaviors.
Trial RegistrationPROSPERO CRD42022346617; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=346617 |
| format | Article |
| id | doaj-art-e1e05f16ba52489090389ae69fc7299f |
| institution | DOAJ |
| issn | 2369-2960 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Public Health and Surveillance |
| spelling | doaj-art-e1e05f16ba52489090389ae69fc7299f2025-08-20T02:51:31ZengJMIR PublicationsJMIR Public Health and Surveillance2369-29602024-12-0110e6319510.2196/63195Dynamic Simulation Models of Suicide and Suicide-Related Behaviors: Systematic ReviewGenevieve Gariepyhttps://orcid.org/0000-0001-9209-4240Rifat Zahanhttps://orcid.org/0000-0002-0934-6644Nathaniel D Osgoodhttps://orcid.org/0000-0002-3994-3298Benjamin Yeohhttps://orcid.org/0009-0002-5159-3910Eva Grahamhttps://orcid.org/0000-0001-9717-6659Heather Orpanahttps://orcid.org/0000-0001-9982-981X BackgroundSuicide remains a public health priority worldwide with over 700,000 deaths annually, ranking as a leading cause of death among young adults. Traditional research methodologies have often fallen short in capturing the multifaceted nature of suicide, focusing on isolated risk factors rather than the complex interplay of individual, social, and environmental influences. Recognizing these limitations, there is a growing recognition of the value of dynamic simulation modeling to inform suicide prevention planning. ObjectiveThis systematic review aims to provide a comprehensive overview of existing dynamic models of population-level suicide and suicide-related behaviors, and to summarize their methodologies, applications, and outcomes. MethodsEight databases were searched, including MEDLINE, Embase, PsycINFO, Scopus, Compendex, ACM Digital Library, IEEE Xplore, and medRxiv, from inception to July 2023. We developed a search strategy in consultation with a research librarian. Two reviewers independently conducted the title and abstract and full-text screenings including studies using dynamic modeling methods (eg, System Dynamics and agent-based modeling) for suicide or suicide-related behaviors at the population level, and excluding studies on microbiology, bioinformatics, pharmacology, nondynamic modeling methods, and nonprimary modeling reports (eg, editorials and reviews). Reviewers extracted the data using a standardized form and assessed the quality of reporting using the STRESS (Strengthening the Reporting of Empirical Simulation Studies) guidelines. A narrative synthesis was conducted for the included studies. ResultsThe search identified 1574 studies, with 22 studies meeting the inclusion criteria, including 15 System Dynamics models, 6 agent-based models, and 1 microsimulation model. The studies primarily targeted populations in Australia and the United States, with some focusing on hypothetical scenarios. The models addressed various interventions ranging from specific clinical and health service interventions, such as mental health service capacity increases, to broader social determinants, including employment programs and reduction in access to means of suicide. The studies demonstrated the utility of dynamic models in identifying the synergistic effects of combined interventions and understanding the temporal dynamics of intervention impacts. ConclusionsDynamic modeling of suicide and suicide-related behaviors, though still an emerging area, is expanding rapidly, adapting to a range of questions, settings, and contexts. While the quality of reporting was overall adequate, some studies lacked detailed reporting on model transparency and reproducibility. This review highlights the potential of dynamic modeling as a tool to support decision-making and to further our understanding of the complex dynamics of suicide and its related behaviors. Trial RegistrationPROSPERO CRD42022346617; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=346617https://publichealth.jmir.org/2024/1/e63195 |
| spellingShingle | Genevieve Gariepy Rifat Zahan Nathaniel D Osgood Benjamin Yeoh Eva Graham Heather Orpana Dynamic Simulation Models of Suicide and Suicide-Related Behaviors: Systematic Review JMIR Public Health and Surveillance |
| title | Dynamic Simulation Models of Suicide and Suicide-Related Behaviors: Systematic Review |
| title_full | Dynamic Simulation Models of Suicide and Suicide-Related Behaviors: Systematic Review |
| title_fullStr | Dynamic Simulation Models of Suicide and Suicide-Related Behaviors: Systematic Review |
| title_full_unstemmed | Dynamic Simulation Models of Suicide and Suicide-Related Behaviors: Systematic Review |
| title_short | Dynamic Simulation Models of Suicide and Suicide-Related Behaviors: Systematic Review |
| title_sort | dynamic simulation models of suicide and suicide related behaviors systematic review |
| url | https://publichealth.jmir.org/2024/1/e63195 |
| work_keys_str_mv | AT genevievegariepy dynamicsimulationmodelsofsuicideandsuiciderelatedbehaviorssystematicreview AT rifatzahan dynamicsimulationmodelsofsuicideandsuiciderelatedbehaviorssystematicreview AT nathanieldosgood dynamicsimulationmodelsofsuicideandsuiciderelatedbehaviorssystematicreview AT benjaminyeoh dynamicsimulationmodelsofsuicideandsuiciderelatedbehaviorssystematicreview AT evagraham dynamicsimulationmodelsofsuicideandsuiciderelatedbehaviorssystematicreview AT heatherorpana dynamicsimulationmodelsofsuicideandsuiciderelatedbehaviorssystematicreview |