Evidence map›Paper›PMID 29598858›Full record

ArticleAmerican journal of preventive medicine2018

Factors Associated With County-Level Differences in U.S. Drug-Related Mortality Rates.

Shannon M Monnat

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

98 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  10. County health rankings, provider shortages, and the health of incarcerated women with opioid use disorder.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026
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  19. Motor vehicle crash death rates among passenger vehicle occupants and pedestrians by county-level social vulnerability and urbanicity: the USA, 2019.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2025
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38 more citing papers are in PubMed but not listed here.

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

1 author.

Shannon M MonnatLerner Center for Public Health Promotion (Center for Policy Research), Maxwell School of Citizenship and Public Affairs, Syracuse University, Syracuse, New York. Electronic address: smmonnat@maxwell.syr.edu.

Funding

The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Sarah Damaske · 2016 to 2026
$9.0M
NICHD NIH HHS P2C HD041025
6 · The paper itself

Abstract

introductionOver the past 2 decades, drug-related deaths have grown to be a major U.S. public health problem. County-level differences in drug-related mortality rates are large. The relative contributions of social determinants of health to this variation, including the economic, social, and healthcare environments, are unknown.

methodsUsing data from the U.S. Centers for Disease Control and Prevention Multiple-Cause of Death Files (2006-2015, analyzed in 2017); U.S. Census Bureau; U.S. Department of Agriculture Economic Research Service; Agency for Healthcare Research and Quality; and Northeast Regional Center for Rural Development, this paper modeled associations between county-level drug-related mortality rates and economic, social, and healthcare environments. Spatial autoregressive models controlled for state fixed effects and county demographic characteristics.

resultsThe average county-level age-adjusted drug-related mortality rate was 16.6 deaths per 100,000 population (2006-2015), but there were substantial geographic disparities in rates. Controlling for county demographic characteristics, average mortality rates were significantly higher in counties with greater economic and family distress and in counties economically dependent on mining. Average mortality rates were significantly lower in counties with a larger presence of religious establishments, a greater percentage of recent in-migrants, and counties with economies reliant on public (government) sector employment. Healthcare supply factors did not contribute to between-county disparities in mortality rates.

conclusionsDrug-related mortality rates are not randomly distributed across the U.S. Future research should consider the specific pathways through which economic, social, and healthcare environments are associated with drug-related mortality.

Indexed as

Health Status DisparitiesSocioeconomic FactorsAdolescentAdultAgedCenters for Disease Control and Prevention, U.S.Cross-Sectional StudiesFemaleHumansLocal GovernmentMaleMiddle AgedPopulation HealthSubstance-Related DisordersSurvival RateUnited States

Identifiers

PMID29598858
PMCPMC6080628

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Registered trials

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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.