37
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Quantifying underreporting of law-enforcement-related deaths in United States vital statistics and news-media-based data sources: A capture–recapture analysis

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Prior research suggests that United States governmental sources documenting the number of law-enforcement-related deaths (i.e., fatalities due to injuries inflicted by law enforcement officers) undercount these incidents. The National Vital Statistics System (NVSS), administered by the federal government and based on state death certificate data, identifies such deaths by assigning them diagnostic codes corresponding to “legal intervention” in accordance with the International Classification of Diseases–10th Revision (ICD-10). Newer, nongovernmental databases track law-enforcement-related deaths by compiling news media reports and provide an opportunity to assess the magnitude and determinants of suspected NVSS underreporting. Our a priori hypotheses were that underreporting by the NVSS would exceed that by the news media sources, and that underreporting rates would be higher for decedents of color versus white, decedents in lower versus higher income counties, decedents killed by non-firearm (e.g., Taser) versus firearm mechanisms, and deaths recorded by a medical examiner versus coroner.

          Methods and findings

          We created a new US-wide dataset by matching cases reported in a nongovernmental, news-media-based dataset produced by the newspaper The Guardian, The Counted, to identifiable NVSS mortality records for 2015. We conducted 2 main analyses for this cross-sectional study: (1) an estimate of the total number of deaths and the proportion unreported by each source using capture–recapture analysis and (2) an assessment of correlates of underreporting of law-enforcement-related deaths (demographic characteristics of the decedent, mechanism of death, death investigator type [medical examiner versus coroner], county median income, and county urbanicity) in the NVSS using multilevel logistic regression. We estimated that the total number of law-enforcement-related deaths in 2015 was 1,166 (95% CI: 1,153, 1,184). There were 599 deaths reported in The Counted only, 36 reported in the NVSS only, 487 reported in both lists, and an estimated 44 (95% CI: 31, 62) not reported in either source. The NVSS documented 44.9% (95% CI: 44.2%, 45.4%) of the total number of deaths, and The Counted documented 93.1% (95% CI: 91.7%, 94.2%). In a multivariable mixed-effects logistic model that controlled for all individual- and county-level covariates, decedents injured by non-firearm mechanisms had higher odds of underreporting in the NVSS than those injured by firearms (odds ratio [OR]: 68.2; 95% CI: 15.7, 297.5; p < 0.01), and underreporting was also more likely outside of the highest-income-quintile counties (OR for the lowest versus highest income quintile: 10.1; 95% CI: 2.4, 42.8; p < 0.01). There was no statistically significant difference in the odds of underreporting in the NVSS for deaths certified by coroners compared to medical examiners, and the odds of underreporting did not vary by race/ethnicity. One limitation of our analyses is that we were unable to examine the characteristics of cases that were unreported in The Counted.

          Conclusions

          The media-based source, The Counted, reported a considerably higher proportion of law-enforcement-related deaths than the NVSS, which failed to report a majority of these incidents. For the NVSS, rates of underreporting were higher in lower income counties and for decedents killed by non-firearm mechanisms. There was no evidence suggesting that underreporting varied by death investigator type (medical examiner versus coroner) or race/ethnicity.

          Abstract

          In this capture-recapture analysis, Justin Feldman, of Harvard University, and colleagues find that law enforcement-related deaths in the United States are undercounted in official government data derived from state death certificates compared to news media-based data sources.

          Author summary

          Why was this study done?
          • Several governmental and nongovernmental databases track the number of law-enforcement-related deaths in the US, but all are likely to undercount these deaths.

          • To our knowledge, our study is the first to estimate the proportion of law-enforcement-related deaths properly captured by 2 data sources: official US mortality data, derived from death certificates, and The Counted, a nongovernmental database derived from news media reports.

          • US mortality data include virtually all deaths that occur in the country, and law-enforcement-related deaths are supposed to be assigned a diagnostic code corresponding to “legal intervention.” If a death is improperly assigned another code, it is considered to be misclassified, which leads to undercounting of the number of law-enforcement-related deaths. We investigated the extent of misclassification and the factors associated with misclassification.

          What did the researchers do and find?
          • We estimated that 1,166 law-enforcement-related deaths occurred in the US in 2015; The Counted captured a larger proportion of these deaths than the US mortality data.

          • Law-enforcement-related deaths were most likely to be misclassified in mortality data if the death was not due to a gunshot wound or if it occurred in a low-income county.

          What do these findings mean?
          • Datasets based on news media reports may offer higher-quality information on law-enforcement-related deaths than mortality data.

          • Further exploration into the ways in which policymakers and public health officials report law-enforcement-related deaths is warranted.

          Related collections

          Most cited references16

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          A Multi-Level Bayesian Analysis of Racial Bias in Police Shootings at the County-Level in the United States, 2011–2014

          Cody Ross (2015)
          A geographically-resolved, multi-level Bayesian model is used to analyze the data presented in the U.S. Police-Shooting Database (USPSD) in order to investigate the extent of racial bias in the shooting of American civilians by police officers in recent years. In contrast to previous work that relied on the FBI’s Supplemental Homicide Reports that were constructed from self-reported cases of police-involved homicide, this data set is less likely to be biased by police reporting practices. County-specific relative risk outcomes of being shot by police are estimated as a function of the interaction of: 1) whether suspects/civilians were armed or unarmed, and 2) the race/ethnicity of the suspects/civilians. The results provide evidence of a significant bias in the killing of unarmed black Americans relative to unarmed white Americans, in that the probability of being {black, unarmed, and shot by police} is about 3.49 times the probability of being {white, unarmed, and shot by police} on average. Furthermore, the results of multi-level modeling show that there exists significant heterogeneity across counties in the extent of racial bias in police shootings, with some counties showing relative risk ratios of 20 to 1 or more. Finally, analysis of police shooting data as a function of county-level predictors suggests that racial bias in police shootings is most likely to emerge in police departments in larger metropolitan counties with low median incomes and a sizable portion of black residents, especially when there is high financial inequality in that county. There is no relationship between county-level racial bias in police shootings and crime rates (even race-specific crime rates), meaning that the racial bias observed in police shootings in this data set is not explainable as a response to local-level crime rates.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The accuracy of cancer mortality statistics based on death certificates in the United States.

            One measure of the accuracy of cancer mortality statistics is the concordance between cancer defined as the underlying cause of death from death certificates and cancer diagnoses recorded in central, population-based cancer registries. Previous studies of such concordance are outdated. To characterize the accuracy of cancer mortality statistics from the concordance between cancer cause of death and primary cancer site at diagnosis. Central cancer registry records from California, Colorado, and Idaho in the U.S. were linked with state vital statistics data and evaluated by demographic and tumor information across 79 site categories. A retrospective arm (confirmation rate per 100 deaths) compared death certificate data from 2002 to 2004 with cancer registry diagnoses from 1993 to 2004, while a prospective arm (detection rate per 100 deaths) compared cancer registry diagnoses from 1993 to 1995 with death certificate data from 1993 to 2004 by International Statistical Classification of Diseases and Related Health Problems (ICD) version used to code deaths. With n=265,863 deaths where cancer was recorded as the underlying cause based on the death certificate, the overall confirmation rate for ICD-10 was 82.8% (95% confidence interval [CI], 82.6-83.0%), the overall detection rate for ICD-10 was 81.0% (95% CI, 80.4-81.6%), and the overall detection rate for ICD-9 was 85.0% (95% CI, 84.8-85.2%). These rates varied across primary sites, where some rates were <50%, some were 95% or greater, and notable differences between confirmation and detection rates were observed. Important unique information on the quality of cancer mortality data obtained from death certificates is provided. In addition, information is provided for future studies of the concordance of primary cancer site between population-based cancer registry data and data from death certificates, particularly underlying causes of death coded in ICD-10. Copyright © 2010 Elsevier Ltd. All rights reserved.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Police Killings and Police Deaths Are Public Health Data and Can Be Counted

              Nancy Krieger and colleagues argue that law-enforcement–related deaths in the United States should be treated as notifiable conditions, which would allow public health departments to report these data in real-time.
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                10 October 2017
                October 2017
                : 14
                : 10
                : e1002399
                Affiliations
                [1 ] Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
                [2 ] Program on Global Health and Human Rights, Institute for Global Health, University of Southern California, Los Angeles, California, United States of America
                [3 ] Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
                Massachusetts General Hospital, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-8316-1947
                http://orcid.org/0000-0002-4815-5947
                Article
                PMEDICINE-D-17-01084
                10.1371/journal.pmed.1002399
                5634537
                29016598
                8c80e1c7-c455-4232-a7a3-f0092687071e
                © 2017 Feldman et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 30 March 2017
                : 1 September 2017
                Page count
                Figures: 2, Tables: 7, Pages: 20
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000919, Open Society Foundations;
                Award Recipient :
                Data acquisition was funded by the Open Society Foundations ( https://www.opensocietyfoundations.org). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Social Sciences
                Law and Legal Sciences
                Criminal Justice System
                Law Enforcement
                Social Sciences
                Sociology
                Criminology
                Police
                People and Places
                Population Groupings
                Professions
                Police
                Medicine and Health Sciences
                Public and Occupational Health
                Traumatic Injury Risk Factors
                Weapons
                Firearms
                Engineering and Technology
                Equipment
                Weapons
                Firearms
                Social Sciences
                Sociology
                Criminology
                Crime
                Homicide
                Medicine and Health Sciences
                Health Care
                Health Statistics
                People and Places
                Demography
                Death Rates
                People and Places
                Population Groupings
                Ethnicities
                Hispanic People
                Social Sciences
                Sociology
                Criminology
                Crime
                Assault
                Custom metadata
                The primary data used to identify persons killed by police are available from The Guardian. The database is copyrighted, available free of charge, and can be obtained by researchers: The Guardian: The Counted. Jon Swaine ( jon.swaine@ 123456theguardian.com ) ( http://www.theguardian.com/thecounted). 315 West 36th St., 8th Floor. New York, NY 10018. (212-231-7762). Cause-of-death data for decedents with known names and dates of birth are available from the National Death Index Plus for researchers who meet the criteria for access to confidential data. National Death Index. Lilian Ingster ( ndi@ 123456cdc.gov ) ( https://www.cdc.gov/nchs/ndi/index.htm). Division of Vital Statistics. National Center for Health Statistics. 3311 Toledo Road, Room 7316. Hyattsville, MD 20782-2064. (301-458-4286). The data used for capture-recapture analysis (numbers of decedents reported in The Counted only, NVSS only, and both systems) are included as a supplemental file (S2 Table) to this article.

                Medicine
                Medicine

                Comments

                Comment on this article