Evidence map›Paper›PMID 35672547›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2022

Conceptualizing the Socio-Built Environment: An Expanded Theoretical Framework to Promote a Better Understanding of Risk for Nonmedical Opioid Overdose Outcomes in Urban and Non-Urban Settings.

Barbara Tempalski, Leslie D Williams, Marynia Kolak, Danielle C Ompad, Julia Koschinsky, Sara L McLafferty

Open access · greenAbstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. A state-level analysis of macro-level factors associated with hospital readmissions.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. 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

6 authors at 5 institutions in 1 country.

Barbara TempalskiCenter for Community-Based Population Health Research, NDRI-USA, Inc., 31 West 34th Street, New York, NY, 10001, USA. tempalski@ndri-usa.org.ORCID http://orcid.org/0000-0002-6128-2510
Leslie D WilliamsDivision of Community Health Sciences, University of Illinois at Chicago School of Public Health, 1603 W. Taylor Street, Chicago, IL, 60607, USA.
Marynia KolakCenter for Spatial Data Science, University of Chicago, 1155 East 60th Street, Chicago, IL, 60637, USA.
Danielle C OmpadCenter for Drug Use and HIV/HCV Research, and the Department of Epidemiology, New York University School of Global Public Health, 708 Broadway, New York, NY, 10003, USA.
Julia KoschinskyCenter for Spatial Data Science, University of Chicago, 1155 East 60th Street, Chicago, IL, 60637, USA.
Sara L McLaffertyDepartment of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, 1301 W Green Street, Urbana, IL, 61801, USA.
University of Chicago · USNew Dimensions Research (United States) · USNew York University · USUniversity of Illinois Chicago · USUniversity of Illinois Urbana-Champaign · US

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan, Courtney McKnight · 1998 to 2026
$38.9M
Developing a public health measure of built environment to assess risk of nonmedical opioid use and related mortality in urban and non-urban areas in New JerseyR21DA046739 · NIDA · NDRI-USA, INC. · PI TEMPALSKI, BARBARA · 2020 to 2021
$393k
NIDA NIH HHS P30 DA011041NIDA NIH HHS R21 DA046739
6 · The paper itself

Abstract

Nonmedical opioid (NMO) use has been linked to significant increases in rates of NMO morbidity and mortality in non-urban areas. While there has been a great deal of empirical evidence suggesting that physical features of built environments represent strong predictors of drug use and mental health outcomes in urban settings, there is a dearth of research assessing the physical, built environment features of non-urban settings in order to predict risk for NMO overdose outcomes. Likewise, there is strong extant literature suggesting that social characteristics of environments also predict NMO overdoses and other NMO use outcomes, but limited research that considers the combined effects of both physical and social characteristics of environments on NMO outcomes. As a result, important gaps in the scientific literature currently limit our understanding of how both physical and social features of environments shape risk for NMO overdose in rural and suburban settings and therefore limit our ability to intervene effectively. In order to foster a more holistic understanding of environmental features predicting the emerging epidemic of NMO overdose, this article presents a novel, expanded theoretical framework that conceptualizes "socio-built environments" as comprised of (a) environmental characteristics that are applicable to both non-urban and urban settings and (b) not only traditional features of environments as conceptualized by the extant built environment framework, but also social features of environments. This novel framework can help improve our ability to identify settings at highest risk for high rates of NMO overdose, in order to improve resource allocation, targeting, and implementation for interventions such as opioid treatment services, mental health services, and care and harm reduction services for people who use drugs.

Indexed as

Drug OverdoseOpiate OverdoseOpioid-Related DisordersAnalgesics, OpioidBuilt EnvironmentHumansRural PopulationAnalgesics, OpioidBuilt environmentOpioid overdosePlaceRiskSocial environmentSuburban-rural

Identifiers

PMID35672547
PMCPMC9360264
OpenAlexW4281713436

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.