Evidence map›Paper›PMID 37161610›Full record

ArticleInjury epidemiology2023

Research utility and limitations of textual data in the National Violent Death Reporting System: a scoping review and recommendations.

Linh N Dang, Eskira T Kahsay, LaTeesa N James, Lily J Johns, Isabella E Rios, Briana Mezuk

Open access · goldAbstract readScoping Review
In one paragraph

Article in Injury epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.7field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

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 JamesTaubman Health Sciences Library, University of Michigan, Ann Arbor, MI, USA.
Lily J JohnsDepartment 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 RiosDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Briana MezukDepartment of Epidemiology, Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA. bmezuk@umich.edu.ORCID http://orcid.org/0000-0003-1798-2285
University of Michigan · US

Funding

Diversity Supplement: Aging, Major Life Transitions, and Suicide RiskR01MH128198 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Briana Mezuk, Kara Zivin · 2022 to 2026
$3.9M
Interdisciplinary Research Training on Health and AgingT32AG027708 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lindsay C Kobayashi, Briana Mezuk · 2008 to 2026
$2.7M
NIMH NIH HHS 1R01MH12819801NIMH NIH HHS R01 MH128198
6 · The paper itself

Abstract

backgroundMany 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.

conclusionAlthough 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.

Indexed as

Data scienceEpidemiologyHomicideInjuryNational Violent Death Reporting SystemQualitative dataScoping reviewSuicideViolence

Identifiers

PMID37161610
PMCPMC10170777
OpenAlexW4376133138

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.