Evidence map›Paper›PMID 30465260›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2019

Using Network and Spatial Data to Better Target Overdose Prevention Strategies in Rural Appalachia.

Abby E Rudolph, April M Young, Jennifer R Havens

Open access · bronzeAbstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

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  11. Overdose Research: 15 Years Later.Journal of urban health : bulletin of the New York Academy of Medicine · 2019
    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

3 authors at 2 institutions in 1 country.

Abby E RudolphDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA. abby.rudolph@temple.edu.ORCID http://orcid.org/0000-0003-1786-3307
April M YoungDepartment of Epidemiology, University of Kentucky College of Public Health, Lexington, KY, USA.
Jennifer R HavensCenter on Drug and Alcohol Research, Department of Behavioral Science, University of Kentucky College of Medicine, Lexington, KY, USA.
University of Kentucky · USBoston University · US

Funding

Examining the Impact of the Twin Epidemics of Methamphetamine and Opioid Use on Overdose, Risky Sex and Treatment Engagement among PWUD in Two Rural Appalachian CohortsR01DA033862 · NIDA · UNIVERSITY OF KENTUCKY · PI Jennifer R Havens · 2012 to 2026
$6.9M
Social networks and HIV risk among rural drug usersR01DA024598 · NIDA · UNIVERSITY OF KENTUCKY · PI HAVENS, JENNIFER R · 2008 to 2012
$2.6M
HIV and Substance Abuse Epidemiology among IDUs: Structural and Network Risk FactK01DA033879 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RUDOLPH, ABBY ELISE · 2012 to 2016
$877k
Combining social network, spatial, and phylogenetic approaches to identify new HIV infectionsR21AI131979 · NIAID · TEMPLE UNIV OF THE COMMONWEALTH · PI RUDOLPH, ABBY ELISE · 2017 to 2018
$517k
NIAID NIH HHS R21 AI131979NIDA NIH HHS K01 DA033879NIDA NIH HHS R01 DA024598NIDA NIH HHS R01 DA033862
6 · The paper itself

Abstract

This analysis uses network and spatial data to identify optimal individuals to target with overdose prevention interventions in rural Appalachia. Five hundred and three rural persons who use drugs were recruited to participate in the Social Networks among Appalachian People Study (2008-2010). Interviewer-administered surveys collected information on demographic characteristics, risk behaviors (including overdose history), network members, and residential addresses. We restricted the sample to individuals with at least one confirmed relationship to another study participant (N = 463). Using dyadic analyses (N = 1428 relationships), we identified relationship-level correlates of relationships with network members who have previously overdosed. We then examined individual- and network-level factors associated with (1) having at least one first-degree alter (i.e., network member) with a prior overdose and (2) each additional network member with a prior overdose (N = 463 study participants). Overall, 28% of the sample had previously overdosed and 57% were one-degree away from someone who previously overdosed. Relationships with those who had overdosed were characterized by closer residential proximity. Those with at least one network member who previously overdosed were more geographically central and occupied more central network positions. Further, the number of network members with an overdose history increased with decreasing distance to the town center, increasing network centrality, and prior enrollment in an alcohol detox program. Because fatal overdoses can be prevented through bystander intervention, these findings suggest that strategies that target more central individuals (both geographically and based on their network positions) and those who have previously enrolled in alcohol detox programs with overdose prevention training and naloxone may optimize intervention reach and have the potential to curb overdose fatalities in this region.

Indexed as

AdultAppalachian RegionDrug OverdoseFemaleHealth PromotionHumansMaleNaloxoneNarcotic AntagonistsRisk-TakingRural PopulationNaloxoneNarcotic AntagonistsAppalachiaOverdosePersons who use drugsRuralSocial network analysisSpatial analysis

Identifiers

PMID30465260
PMCPMC6391296
OpenAlexW2900645630

What OpenQuestion holds

Textmetadata
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.