Evidence map›Paper›PMID 36549235›Full record

ArticleHealth & place2023

Geographic variations in opioid overdose patterns in Pennsylvania during the COVID-19 pandemic.

Brian King, Louisa M Holmes, Andrea Rishworth, Ruchi Patel

Open access · greenAbstract read
In one paragraph

Article in Health & place, 2023. 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
1.6field-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

2 citing papers in PubMed, 8 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

4 authors at 2 institutions in 2 countries.

Brian KingDepartment of Geography, The Pennsylvania State University, University Park, PA, 16802, United States. Electronic address: bhk2@psu.edu.
Louisa M HolmesDepartment of Geography, The Pennsylvania State University, University Park, PA, 16802, United States. Electronic address: lmholmes@psu.edu.
Andrea RishworthDepartment of Geography, University of Toronto, Canada. Electronic address: andrea.rishworth@utoronto.ca.
Ruchi PatelDepartment of Geography, The Pennsylvania State University, University Park, PA, 16802, United States. Electronic address: rdp20@psu.edu.
Pennsylvania State University · USUniversity of Toronto · CA

Funding

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

Abstract

The convergence of the opioid epidemic and the COVID-19 pandemic has created new health challenges throughout the United States. Since the onset of the pandemic, media attention and scholarly research have drawn attention to the intersections of addiction and COVID-19. However, there remain few empirical studies that examine the direct impacts of the COVID-19 pandemic for opioid overdose patterns. Even fewer have integrated quantitative and qualitative methods to detail the place-specific dynamics shaping opioid overdose and addiction treatment during the COVID-19 pandemic. This article measures and maps change in the age-adjusted rate of opioid-related overdose incidents at the county level from 2018 to 2020. These analyses are combined with interviews conducted since December 2020 with public health providers in the state of Pennsylvania to identify the key factors influencing opioid misuse and transformations in addiction treatment practices.

Indexed as

COVID-19Drug OverdoseOpiate OverdoseHumansPandemicsPennsylvaniaUnited StatesCOVID-19COVID-19 policy responsesGeographic variationsOpioid overdosePennsylvania

Identifiers

PMID36549235
PMCPMC9765327
OpenAlexW4312084295

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.