Evidence map›Paper›PMID 35657466›Full record

Observational studyJournal of general internal medicine2023

Population-Based Opioid Prescribing and Overdose Deaths in the USA: an Observational Study.

Mark Olfson, Timothy Waidmann, Marissa King, Vincent Pancini, Michael Schoenbaum

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Journal of general internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
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

5 authors at 4 institutions in 1 country.

Mark OlfsonNew York State Psychiatric Institute/Department of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, 1051 Riverside Drive, New York, NY, USA. Mark.Olfson@nyspi.columbia.edu.
Timothy WaidmannUrban Institute, Health Policy Center, Washington, DC, USA.
Marissa KingSchool of Management, Yale University, New Haven, CT, USA.
Vincent PanciniUrban Institute, Health Policy Center, Washington, DC, USA.
Michael SchoenbaumNational Institute of Mental Health, Bethesda, MD, USA.
Urban Institute · USColumbia University · USNational Institute of Mental Health · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Social Networks, Physician Characteristics, and Inappropriate Prescribing of Commonly Misused Prescription DrugsR01DA044981 · NIDA · YALE UNIVERSITY · PI KING, MARISSA D · 2018 to 2020
$1.3M
NCATS NIH HHS UL1 TR001863NIDA NIH HHS 1R01DA044981NIDA NIH HHS R01 DA044981
6 · The paper itself

Abstract

backgroundRising opioid-related death rates have prompted reductions of opioid prescribing, yet limited data exist on population-level associations between opioid prescribing and opioid-related deaths.

objectiveTo evaluate population-level associations between five opioid prescribing measures and opioid-related deaths.

designAn ecological panel analysis was performed using linear regression models with year and commuting zone fixed effects.

participantsPeople ≥10 years aggregated into 886 commuting zones, which are geographic regions collectively comprising the entire USA. MAIN MEASURES: Annual opioid prescriptions were measured with IQVIA Real World Longitudinal Prescription Data including 76.5% (2009) to 90.0% (2017) of US prescriptions. Prescription measures included opioid prescriptions per capita, percent of population with ≥1 opioid prescription, percent with high-dose prescription, percent with long-term prescription, and percent with opioid prescriptions from ≥3 prescribers. Outcomes were age- and sex-standardized associations of change in opioid prescriptions with change in deaths involving any opioids, synthetics other than methadone, heroin but not synthetics or methadone, and prescription opioids, but not other opioids. KEY

resultsChange in total regional opioid-related deaths was positively correlated with change in regional opioid prescriptions per capita (β=.110, p<.001), percent with ≥1 opioid prescription (β=.100, p=.001), and percent with high-dose prescription (β=.081, p<.001). Change in total regional deaths involving prescription opioids was positively correlated with change in all five opioid prescribing measures. Conversely, change in total regional deaths involving synthetic opioids was negatively correlated with change in percent with long-term opioid prescriptions and percent with ≥3 prescribers, but not for persons ≥45 years. Change in total regional deaths in heroin was not associated with change in any prescription measure.

conclusionsRegional decreases in opioid prescriptions were associated with declines in overdose deaths involving prescription opioids, but were also associated with increases in deaths involving synthetic opioids (primarily fentanyl). Individual-level inferences are limited by the ecological nature of the analysis.

Indexed as

Analgesics, OpioidDrug OverdoseFentanylHumansMethadonePractice Patterns, Physicians'United StatesAnalgesics, OpioidFentanylMethadone

Identifiers

PMID35657466
PMCPMC9905341
OpenAlexW4281730047

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.