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Lindley LC, Policastro CN, Dosch B, Ortiz Baco JG, Cao CQ. Artificial Intelligence and the National Violent Death Reporting System: A Rapid Review. Comput Inform Nurs 2024:00024665-990000000-00182. [PMID: 38530152 DOI: 10.1097/cin.0000000000001124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
As the awareness on violent deaths from guns, drugs, and suicides emerges as a public health crisis in the United States, attempts to prevent injury and mortality through nursing research are critical. The National Violent Death Reporting System provides public health surveillance of US violent deaths; however, understanding the National Violent Death Reporting System's research utility is limited. The purpose of our rapid review of the 2019-2023 literature was to understand to what extent artificial intelligence methods are being used with the National Violent Death Reporting System. We identified 16 National Violent Death Reporting System artificial intelligence studies, with more than half published after 2020. The text-rich content of National Violent Death Reporting System enabled researchers to center their artificial intelligence approaches mostly on natural language processing (50%) or natural language processing and machine learning (37%). Significant heterogeneity in approaches, techniques, and processes was noted across the studies, with critical methods information often lacking. The aims and focus of National Violent Death Reporting System studies were homogeneous and mostly examined suicide among nurses and older adults. Our findings suggested that artificial intelligence is a promising approach to the National Violent Death Reporting System data with significant untapped potential in its use. Artificial intelligence may prove to be a powerful tool enabling nursing scholars and practitioners to reduce the number of preventable, violent deaths.
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Affiliation(s)
- Lisa C Lindley
- Author Affiliations: College of Nursing, University of Tennessee, Knoxville (Dr Lindley); Department of Social, Cultural, and Justice Studies, College of Arts and Sciences, University of Tennessee, Chattanooga (Dr Policastro); and University Libraries (Ms Dosch and Dr Ortiz Baco) and Department of Electrical Engineering and Computer Science, College of Engineering (Dr Cao), University of Tennessee, Knoxville
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Arseniev-Koehler A, Mays VM, Foster JG, Chang KW, Cochran SD. Gendered Patterns in Manifest and Latent Mental Health Indicators Among Suicide Decedents: 2003-2020 National Violent Death Reporting System (NVDRS). Am J Public Health 2024; 114:S268-S277. [PMID: 37948056 PMCID: PMC10976443 DOI: 10.2105/ajph.2023.307427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/19/2023] [Indexed: 11/12/2023]
Abstract
Objectives. To investigate differences in the documentation of mental health symptomology between male and female suicide decedents in the 2003-2020 US National Violent Death Reporting System (NVDRS). Methods. Using information on 271 998 suicides in the 2003-2020 NVDRS, we evaluated precoded mental health-related variables and topic model-derived latent mental health themes in the law enforcement and coroner or medical examiner death narratives compiled by trained public health workers. Results. Public health records of male compared with female suicides were less likely to include notations of mental health conditions or treatment interventions. However, topic modeling of death summaries revealed that male suicide decedents were more likely to evidence several subclinical cognitive and emotional indicators of distress. Conclusions. Suicide death records vary by gender, both in recorded evidence for mental health conditions at time of death and in accompanying narratives describing proximal circumstances surrounding these deaths. Our findings hint that patterns of subclinical mental health changes among men might be less well captured in commonly used mental health indicators, suggesting that prevention efforts may benefit from measures that also target assessment of subclinical distress. (Am J Public Health. 2024;114(S3):S268-S277. https://doi.org/10.2105/AJPH.2023.307427).
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Affiliation(s)
- Alina Arseniev-Koehler
- Alina Arseniev-Koehler is with the Division of Biomedical Informatics, University of California, San Diego, La Jolla, and the Department of Sociology, Purdue University, West Lafayette, IN. Vickie M. Mays is with the Department of Psychology, University of California, Los Angeles (UCLA), and the Department of Health Policy and Management, UCLA Fielding School of Public Health. Jacob G. Foster is with the Department of Sociology, UCLA. Kai-Wei Chang is with the Department of Computer Science, UCLA Samueli School of Engineering. Susan D. Cochran is with the Department of Epidemiology, UCLA Fielding School of Public Health, and the Department of Statistics, UCLA. Vickie M. Mays and Susan D. Cochran served as guest editors for this supplemental issue
| | - Vickie M Mays
- Alina Arseniev-Koehler is with the Division of Biomedical Informatics, University of California, San Diego, La Jolla, and the Department of Sociology, Purdue University, West Lafayette, IN. Vickie M. Mays is with the Department of Psychology, University of California, Los Angeles (UCLA), and the Department of Health Policy and Management, UCLA Fielding School of Public Health. Jacob G. Foster is with the Department of Sociology, UCLA. Kai-Wei Chang is with the Department of Computer Science, UCLA Samueli School of Engineering. Susan D. Cochran is with the Department of Epidemiology, UCLA Fielding School of Public Health, and the Department of Statistics, UCLA. Vickie M. Mays and Susan D. Cochran served as guest editors for this supplemental issue
| | - Jacob G Foster
- Alina Arseniev-Koehler is with the Division of Biomedical Informatics, University of California, San Diego, La Jolla, and the Department of Sociology, Purdue University, West Lafayette, IN. Vickie M. Mays is with the Department of Psychology, University of California, Los Angeles (UCLA), and the Department of Health Policy and Management, UCLA Fielding School of Public Health. Jacob G. Foster is with the Department of Sociology, UCLA. Kai-Wei Chang is with the Department of Computer Science, UCLA Samueli School of Engineering. Susan D. Cochran is with the Department of Epidemiology, UCLA Fielding School of Public Health, and the Department of Statistics, UCLA. Vickie M. Mays and Susan D. Cochran served as guest editors for this supplemental issue
| | - Kai-Wei Chang
- Alina Arseniev-Koehler is with the Division of Biomedical Informatics, University of California, San Diego, La Jolla, and the Department of Sociology, Purdue University, West Lafayette, IN. Vickie M. Mays is with the Department of Psychology, University of California, Los Angeles (UCLA), and the Department of Health Policy and Management, UCLA Fielding School of Public Health. Jacob G. Foster is with the Department of Sociology, UCLA. Kai-Wei Chang is with the Department of Computer Science, UCLA Samueli School of Engineering. Susan D. Cochran is with the Department of Epidemiology, UCLA Fielding School of Public Health, and the Department of Statistics, UCLA. Vickie M. Mays and Susan D. Cochran served as guest editors for this supplemental issue
| | - Susan D Cochran
- Alina Arseniev-Koehler is with the Division of Biomedical Informatics, University of California, San Diego, La Jolla, and the Department of Sociology, Purdue University, West Lafayette, IN. Vickie M. Mays is with the Department of Psychology, University of California, Los Angeles (UCLA), and the Department of Health Policy and Management, UCLA Fielding School of Public Health. Jacob G. Foster is with the Department of Sociology, UCLA. Kai-Wei Chang is with the Department of Computer Science, UCLA Samueli School of Engineering. Susan D. Cochran is with the Department of Epidemiology, UCLA Fielding School of Public Health, and the Department of Statistics, UCLA. Vickie M. Mays and Susan D. Cochran served as guest editors for this supplemental issue
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Moore A, Stearns D, Carmichael H, Myers QWO, Velopulos CG. Safer Behind Bars? Comparing In-Custody Deaths Prior to and During Incarceration. J Surg Res 2023; 291:260-264. [PMID: 37478650 DOI: 10.1016/j.jss.2023.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 05/24/2023] [Accepted: 06/13/2023] [Indexed: 07/23/2023]
Abstract
INTRODUCTION This project aims to characterize trauma-associated deaths of the American incarcerated population through legal intervention (LI) or death by law enforcement officials while in custody before and during incarceration. We determined the preceding events leading to violent death, including initiation of medical care, use of restraints and force, and demographics of the victims. METHODS We used National Violent Death Reporting System data from the years 2003-2019 to identify deaths that occurred while in custody or incarcerated, including discriminate and narrative data. Event information included weapon type, location of death, incident type, incarceration status, use of restraints, and prone positioning. RESULTS There were 86 victims who died from LI included in the analysis. Most events occurred after incarceration. All victims in our cohort were male, and race was an associated factor for death by LI. Only 16% of victims had an education level above high school/general educational development. Death by firearm compared to other weapons was significantly more common in the in-custody but not yet incarcerated group (83% versus 42%, P ≤ 0.0001). Other associated factors included a history of mental health, physical confrontations, the belief that the victim had a weapon, and being restrained in prone positioning. CONCLUSIONS Our study shows that racial minority victims are disproportionately affected by LI deaths. Firearms and restraint type were important factors in LI deaths. Our findings suggest that violence prevention in the justice system should focus on prevention and de-escalation across setting with specific attention to use of force and inmate access to the weapons of police, guards, and other law and justice system workers. More transparent quality data is sorely needed to adequately define and address this problem.
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Affiliation(s)
- Allison Moore
- Department of Surgery, University of Cincinnati, Cincinnati, Ohio
| | - Dorothy Stearns
- Department of Surgery, The Ohio State University, Columbus, Ohio
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Phillips JA, Davidson TR, Baffoe-Bonnie MS. Identifying latent themes in suicide among black and white adolescents and young adults using the National Violent Death Reporting System, 2013-2019. Soc Sci Med 2023; 334:116144. [PMID: 37678110 DOI: 10.1016/j.socscimed.2023.116144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 07/31/2023] [Accepted: 08/03/2023] [Indexed: 09/09/2023]
Abstract
Suicide rates for adolescents and young adults (AYA) have risen dramatically in recent years - by almost 60% for Americans aged 10-24 years between 2007 and 2018. This increase has occurred for both whites and Blacks, with the rise in suicide among Black youth of particular note. Blacks historically exhibit lower rates of suicide relative to whites and thus, less is known about the etiology of Black suicide. To gain insight into the underlying causes of suicide among AYA, we examine medical examiner reports from the National Violent Death Reporting System (NVDRS) from 2013 to 2019 for over 26,000 Black and white suicide decedents ages 10-29. We apply structural topic modeling (STM) approaches to describe the broad contours of AYA suicide in the United States today. Our findings reveal distinct patterns by race. Guns, violence and the criminal justice system are prominent features of Black suicide, whether through the mechanism used in the suicide, either by firearm or other violent means such as fire or electrocution, the existence of criminal or legal problems/disputes, the location of death in a jail, or the presence of police. In contrast, the narratives of white AYA are more likely to reference mental health or substance abuse problems. Access to resources, as measured by county median household income, overlay these patterns. Themes more prevalent among Blacks are more common in poorer counties; those more prevalent among whites tend to be more common in wealthier counties. Our findings are consistent with other studies that suggest Black people experience greater exposure to violence and other traumas, systemic racism and interpersonal discrimination that may elevate the risk for suicidal behavior.
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Affiliation(s)
- Julie A Phillips
- Department of Sociology, Rutgers University, 26 Nichol Avenue, New Brunswick, NJ, 08901, USA.
| | - Thomas R Davidson
- Department of Sociology, Rutgers University, 26 Nichol Avenue, New Brunswick, NJ, 08901, USA
| | - Marilyn S Baffoe-Bonnie
- Department of Sociology, Rutgers University, 26 Nichol Avenue, New Brunswick, NJ, 08901, USA
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Dang LN, Kahsay ET, James LN, Johns LJ, Rios IE, Mezuk B. Research utility and limitations of textual data in the National Violent Death Reporting System: a scoping review and recommendations. Inj Epidemiol 2023; 10:23. [PMID: 37161610 PMCID: PMC10170777 DOI: 10.1186/s40621-023-00433-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 04/26/2023] [Indexed: 05/11/2023] Open
Abstract
BACKGROUND Many studies of injury deaths rely on mortality data that contain limited contextual information about decedents. The National Violent Death Reporting System (NVDRS) is unique among such data systems in that each observation includes both quantitative variables and qualitative texts (called "narratives") abstracted from original source documents. These narratives provide rich data regarding salient circumstances that can be used to inform prevention efforts. This review provides a comprehensive summary of peer-reviewed research using NVDRS narratives over the past 20 years, including the limitations of these texts and provides recommendations on utilizing and improving narrative quality for researchers and practitioners. MAIN BODY Studies that used narratives to examine deaths related to suicide, homicide, undetermined intent, accidental firearm, or legal intervention were identified by a title/abstract screening, followed by a full-text review. The search was conducted on English-language, peer-reviewed literature and government reports published from 2002 to 2022 in PubMed, PsycInfo, Scopus, and Google Scholar. Abstracted elements focused on the methodologies used to analyze the narratives, including approaches to explore potential biases in these texts. Articles were abstracted independently by two reviewers, with disagreements resolved through consensus discussion. During the 20-year period, 111 articles used narratives. Two-thirds studied suicide (n = 48, 43%) and homicides (n = 25, 23%). Most studies analyzed the narratives using manual review (n = 81, 73%) and keyword searches (n = 9, 8%), with only 6 (5%) using machine learning tools. Narratives were mainly used for case finding (n = 49, 44%) and characterization of circumstances around deaths (n = 38, 34%). Common challenges included variability in the narratives and lack of relevant circumstantial details for case characterization. CONCLUSION Although the use of narratives has increased over time, these efforts would be enhanced by detailed abstraction of circumstances with greater salience to injury research and prevention. Moreover, researchers and practitioners would benefit from guidance on integrating narratives with quantitative variables and standardized approaches to address variability in the completeness and length of narratives. Such efforts will increase the reliability of findings and set the stage for more widespread applications of data science methods to these texts.
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Affiliation(s)
- Linh N Dang
- Department of Epidemiology, Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
| | - Eskira T Kahsay
- Department of Epidemiology, Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
| | - LaTeesa N James
- Taubman Health Sciences Library, University of Michigan, Ann Arbor, MI, USA
| | - Lily J Johns
- Department of Epidemiology, Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
| | - Isabella E Rios
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Briana Mezuk
- Department of Epidemiology, Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
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Ormseth CH, Mooney AC, Mitchell O, Hsia RY. Association of Residential Racial and Ethnic Segregation With Legal Intervention Injuries in California. JAMA Netw Open 2022; 5:e2219217. [PMID: 35767261 PMCID: PMC9244606 DOI: 10.1001/jamanetworkopen.2022.19217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE The continued harm of Black individuals in the US by law enforcement officers calls for reform of both law enforcement officers and structural racism embedded in communities. OBJECTIVE To examine the association between county characteristics and racial and ethnic disparities in legal intervention injuries. DESIGN, SETTING, AND PARTICIPANTS This retrospective, cross-sectional study was conducted among 27 671 patients presenting to California hospitals from January 1, 2016, to December 31, 2019, with legal intervention injuries (defined as any injury sustained as a result of an encounter with any law enforcement officer) as identified by International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes. MAIN OUTCOMES AND MEASURES Legal intervention injuries were classified by International Statistical Classification of Diseases and Related Health Problems, Tenth Revision external cause of injury code Y35. Expected injury counts were calculated for each county by multiplying statewide median rates of injury per capita for each age-racial and ethnic group, and then observed to expected injury ratios were measured. The association between county injury ratio, percentage of Black individuals, and residential segregation (measured using an index of dissimilarity) was modeled, stratifying by race and ethnicity. RESULTS A total of 27 671 patients (24 159 male patients [87.3%]; 1734 Asian and Pacific Islander [6.3%], 5049 Black [18.2%], 11 250 Hispanic [40.7%], and 9638 White [34.8%]; mean [SD] age, 34.2 [12.5] years) presented with legal intervention injuries in California from 2016 to 2019. Observed to expected injury ratios ranged from 0 to 7 for Black residents and from 0 to 5 for White residents. High observed to expected injury ratios for Black residents (408 observed vs 60 expected; ratio = 7) were clustered around San Francisco Bay Area counties and corresponded with a higher proportion of Black residents. High observed to expected injury ratios for White residents (57 observed vs 11 expected; ratio = 5) clustered around rural northern California counties and corresponded with higher mean percentage of residents with income below the federal poverty level and fewer urban areas. CONCLUSIONS AND RELEVANCE This study suggests that residential segregation may be associated with increased legal intervention injury rates for Black residents of California counties with a large percentage of Black residents. Reform efforts to address racial and ethnic disparities in these injuries should carefully consider and address the legacy of discriminatory policies that has led to segregated communities in California and the United States.
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Affiliation(s)
| | - Alyssa C. Mooney
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Ojmarrh Mitchell
- School of Criminology and Criminal Justice, Arizona State University, Tempe
| | - Renee Y. Hsia
- Philip R. Lee Institute for Health Policy Studies, Department of Emergency Medicine, University of California, San Francisco
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