Evidence map›Paper›PMID 31054422›Full record

ArticleDrug and alcohol dependence2019

Disparities in opioid related mortality between United States counties from 2000 to 2014.

Chandler B McClellan

Abstract read
PubMed Publisher
In one paragraph

Article in Drug and alcohol dependence, 2019. 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
–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

2 citing papers in PubMed.

  1. Geospatial Variations and Neighborhood Deprivation in Drug-Related Admissions and Overdoses.Journal of urban health : bulletin of the New York Academy of Medicine · 2020
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Chandler B McClellanAgency for Healthcare Research and Quality, 5900 Fishers Lane, Rockville, MD, 20852, USA. Electronic address: chandler.mcclellan@ahrq.hhs.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe general increase in opioid-related deaths is well documented, and disparities by geographic regions and demographic characteristics have been observed as well. However, the distribution of opioid-related deaths among U.S. counties and the trends in that distribution have not been fully explored. This study examines the inequality in opioid death rates to assess convergence or divergence in opioid-related mortality between counties.

methodsUsing mortality data from the NVSS for 2000-2014, this study examines the Gini coefficient of the county opioid mortality distribution.

resultsThe distribution of opioid mortality became more equal, with the Gini coefficient falling from 0.81 in 2000 to 0.61 in 2014. Counties with lower initial opioid mortality rates experienced faster growth in mortality than counties with high initial mortality.

conclusionsCounties have experienced a convergence in opioid mortality rates. This poses potential challenges for addressing the crisis, as measures must become much broader in scope and be implemented in areas in which the dangers of the opioid crisis are not as apparent.

Indexed as

Socioeconomic FactorsDrug OverdoseHealthcare DisparitiesHumansMortalityOpioid-Related DisordersUnited StatesInequalityMortalityOpioids

Identifiers

PMID31054422

What OpenQuestion holds

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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.