Evidence map›Paper›PMID 32061139›Full record

ArticleAddiction (Abingdon, England)2020

Associations between neighborhood-level factors and opioid-related mortality: A multi-level analysis using death certificate data.

Michael William Flores, Benjamin Lê Cook, Brian Mullin, Gabriel Halperin-Goldstein, Aparna Nathan, Kertu Tenso, Zev Schuman-Olivier

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
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  7. Spatiotemporal Analysis of Fentanyl-Associated Overdose Deaths in Chicago, IL, USA.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
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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.

Michael William FloresHealth Equity Research Laboratory, Cambridge Health Alliance, Cambridge, MA, USA.ORCID 0000-0002-8019-2836
Benjamin Lê CookHealth Equity Research Laboratory, Cambridge Health Alliance, Cambridge, MA, USA.ORCID 0000-0003-0135-0806
Brian MullinHealth Equity Research Laboratory, Cambridge Health Alliance, Cambridge, MA, USA.
Gabriel Halperin-GoldsteinHaverford College, Haverford, PA, USA.
Aparna NathanDepartment of Bioinformatics, Harvard Medical School, Boston, MA, USA.
Kertu TensoHealth Equity Research Laboratory, Cambridge Health Alliance, Cambridge, MA, USA.
Zev Schuman-OlivierDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-9216-2039

Funding

Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Effects of remote motivational enhancement and MySafeRX on post-detox engagement and retention in buprenorphine treatmentR01CE003039 · CE · UNIVERSITY OF SOUTH FLORIDA · PI MOORE, KATHLEEN ANNE, SCHUMAN OLIVIER, ZEV DAVID · 2018 to 2020
$2.3M
Impact of State Policies on Smoking among Individuals with Substance Use DisorderR01CA229355 · NCI · CAMBRIDGE HEALTH ALLIANCE · PI COOK, BENJAMIN LE · 2019 to 2022
$2.0M
NCI NIH HHS R01 CA229355NCIPC CDC HHS R01 CE003039NHGRI NIH HHS T32 HG002295
6 · The paper itself

Abstract

aimTo identify associations between opioid-related mortality and neighborhood-level risk factors.

designCross-sectional study.

settingMassachusetts, USA.

participantsUsing 2011-14 Massachusetts death certificate data, we identified opioid-related (n = 3089) and non-opioid-related premature deaths (n = 8729). MEASUREMENTS: The independent variables consisted of four sets of neighborhood-level factors: (1) psychosocial, (2) economic, (3) built environment and (4) health-related. At the individual level we included the following compositional factors: age at death, sex, race/ethnicity, marital status, education, veteran status and nativity. The primary outcome of interest was opioid-related mortality.

findingsMulti-level models identified number of social associations per 10 000 [odds ratio (OR) = 0.84, P = 0.002, 95% confidence interval (CI) = 0.75-0.94] and number of hospital beds per 10 000 (OR = 0.78, P < 0.001, 95% CI = 0.68-0.88) to be inversely associated with opioid-related mortality, whereas the percentage living in poverty (OR = 1.01, P = 0.008, 95% CI = 1.00-1.01), food insecurity rate (OR = 1.21, P = 0.002, 95% CI = 1.07-1.37), number of federally qualified health centers (OR = 1.02, P = 0.028, 95% CI = 1.02-1.08) and per-capita morphine milligram equivalents of hydromorphone (OR = 1.05, P = 0.003, 95% CI = 1.01-1.08) were positively associated with opioid-related mortality.

conclusionsOpioid-related deaths between 2011 and 2014 in the state of Massachusetts appear to be positively associated with the percentage living in poverty, food insecurity rate, number of federally qualified health centers and per-capita morphine milligram equivalents of hydromorphone, but inversely associated with number of social associations per 10 000 and number of hospital beds per 10 000.

Indexed as

Death CertificatesAdolescentAdultAgedAnalgesics, OpioidCause of DeathCross-Sectional StudiesDrug OverdoseEthnicityFemaleHumansMaleMassachusettsMiddle AgedOpioid-Related DisordersPovertyAnalgesics, OpioidBuilt environmentdeath certificateeconomichealth servicesmortalitymulti-levelneighborhoodopioidspsychosocial

Identifiers

PMID32061139
PMCPMC7734613

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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.