Evidence map›Paper›PMID 36963467›Full record

ArticlePreventive medicine2023

Methods for jurisdictional vulnerability assessment of opioid-related outcomes.

Shikhar Shrestha, Ric Bayly, Jennifer Pustz, Jared Sawyer, Michelle Van Handel, Cailyn Lingwall, Thomas J Stopka

Abstract read
In one paragraph

Article in Preventive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  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

7 authors.

Shikhar ShresthaDepartment of Public Health and Community Medicine, Tufts University School of Medicine, United States.
Ric BaylyDepartment of Public Health and Community Medicine, Tufts University School of Medicine, United States.
Jennifer PustzDepartment of Public Health and Community Medicine, Tufts University School of Medicine, United States.
Jared SawyerDepartment of Public Health and Community Medicine, Tufts University School of Medicine, United States.
Michelle Van HandelCenters for Disease Control and Prevention, Tufts University School of Medicine, United States.
Cailyn LingwallCouncil of State and Territorial Epidemiologists, Tufts University School of Medicine, United States.
Thomas J StopkaDepartment of Public Health and Community Medicine, Tufts University School of Medicine, United States. Electronic address: thomas.stopka@tufts.edu.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

In 2020, an estimated 2.7 million people in the US had opioid use disorder, increasing their risk of opioid-related morbidity and mortality. While jurisdictional vulnerability assessments (JVA) of opioid-related outcomes have been conducted previously in the US, there has been no unifying methodological framework. Between 2019 and 2021, we prepared ten JVAs, in collaboration with the Council of State and Territorial Epidemiologists, the Centers for Disease Control and Prevention, and state public health agencies, to evaluate the risk for opioid-involved overdose (OOD) fatalities and related consequences. Our aim is to share the framework we developed for these ten JVAs, based on our study of the work of Van Handel et al. from 2016, as well as a summary of 18 publicly available assessments of OOD or associated hepatitis C virus infection vulnerability. We developed a three-tiered framework that can be applied by jurisdictions based on the number of units of analysis (e.g., counties, ZIP Codes, census tracts): under 10 (Tier 1), 10 to <50 (Tier 2), and 50 or more (Tier 3). We calculated OOD vulnerability indices based on variable ranks, weighted variable ranks, or multivariable regressions, respectively, for the three tiers. We developed thematic maps, conducted spatial analyses, and visualized service provider locations, drive-time service areas, and service accessibility relative to OOD risk. The methodological framework and examples of our findings from several jurisdictions can be used as a foundation for future assessments and help inform policies to mitigate the impact of the opioid overdose crisis.

Indexed as

Drug OverdoseHepatitis COpioid-Related DisordersAnalgesics, OpioidHumansOpioid EpidemicAnalgesics, OpioidInjection drug useJurisdictional vulnerability assessmentOpioid overdose

Identifiers

PMID36963467
PMCPMC11371392

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.