Evidence map›Paper›PMID 35653403›Full record

ArticlePloS one2022

Simulating the bounds of plausibility: Estimating the impact of high-risk versus population-based approaches to prevent firearm injury.

Katherine M Keyes, Ava Hamilton, Melissa Tracy, Rose M C Kagawa, Veronica A Pear, David Fink, Charles C Branas, Magdalena Cerdá

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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

8 authors at 5 institutions in 1 country.

Katherine M KeyesDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, United States of America.
Ava HamiltonDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, United States of America.
Melissa TracyDepartment of Epidemiology and Biostatistics, State University of New York at Albany, Albany, New York, United States of America.
Rose M C KagawaDepartment of Emergency Medicine, Violence Prevention Research Program, School of Medicine, University of California, Davis, Sacramento, California, United States of America.
Veronica A PearDepartment of Emergency Medicine, Violence Prevention Research Program, School of Medicine, University of California, Davis, Sacramento, California, United States of America.ORCID 0000-0002-2462-3785
David FinkDivision of Translational Epidemiology, New York State Psychiatric Institute, New York, New York, United States of America.
Charles C BranasDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, United States of America.
Magdalena CerdáDepartment of Population Health, New York University Langone Health, New York, New York, United States of America.
Columbia University · USUniversity of California, Davis · USNew York Psychoanalytic Society and Institute · USNYU Langone Health · USUniversity at Albany, State University of New York · US

Funding

Substance abuse history, mental health and firearm violence: from evidence to actionR21DA041154 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CERDA, MAGDALENA, KEYES, KATHERINE M. · 2016 to 2017
$440k
NIDA NIH HHS R21 DA041154
6 · The paper itself

Abstract

backgroundFirearm violence remains a persistent public health threat. Comparing the impact of targeted high-risk versus population-based approaches to prevention may point to efficient and efficacious interventions. We used agent-based modeling to conduct a hypothetical experiment contrasting the impact of high-risk (disqualification) and population-based (price increase) approaches on firearm homicide in New York City (NYC).

methodsWe simulated 800,000 agents reflecting a 15% sample of the adult population of NYC. Three groups were considered and disqualified from all firearm ownership for five years, grouped based on prevalence: low prevalence (psychiatric hospitalization, alcohol-related misdemeanor and felony convictions, 0.23%); moderate prevalence (drug misdemeanor convictions, domestic violence restraining orders, 1.03%); and high prevalence (all other felony/misdemeanor convictions, 2.30%). Population-level firearm ownership was impacted by increasing the price of firearms, assuming 1% price elasticity.

resultsIn this hypothetical scenario, to reduce firearm homicide by 5% in NYC, 25% of the moderate prevalence group, or 12% of the high prevalence group needed to be effectively disqualified; even when all of the low prevalence group was disqualified, homicide did not decrease by 5%. An 18% increase in price similarly reduced firearm homicide by 5.37% (95% CI 4.43-6.31%). Firearm homicide declined monotonically as the proportion of disqualified individuals increased and/or price increased. A combined intervention that both increased price and effectively disqualified "high-risk" groups achieved approximately double the reduction in homicide as any one intervention alone. Increasing illegal firearm ownership by 20%, a hypothetical response to price increases, did not meaningfully change results.

conclusionA key takeaway of our study is that adopting high-risk versus population-based approaches should not be an "either-or" question. When individual risk is variable and diffuse in the population, "high-risk approaches" to firearm violence need to focus on relatively prevalent groups and be highly efficacious in disarming people at elevated risk to achieve meaningful reductions in firearm homicide, though countering issues of social justice and stigma should be carefully considered. Similar reductions can be achieved with population-based approaches, such as price increases, albeit with fewer such countering issues.

Indexed as

FirearmsWounds, GunshotAdultHomicideHumansOwnershipViolence

Identifiers

PMID35653403
PMCPMC9162316
OpenAlexW4281762612

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.