Evidence map›Paper›PMID 30663005›Full record

ArticleInjury epidemiology2019

Associations between implementation of Project Lazarus and opioid analgesic dispensing and buprenorphine utilization in North Carolina, 2009-2014.

Apostolos A Alexandridis, Nabarun Dasgupta, Agnieszka D McCort, Christopher L Ringwalt, Wayne D Rosamond, Paul R Chelminski, Stephen W Marshall

Open access · goldAbstract read
In one paragraph

Article in Injury epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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 at 1 institution in 1 country.

Apostolos A AlexandridisInjury Prevention Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. aaa@unc.edu.ORCID http://orcid.org/0000-0001-9140-2889
Nabarun DasguptaInjury Prevention Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Agnieszka D McCortInjury Prevention Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Christopher L RingwaltInjury Prevention Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Wayne D RosamondDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Paul R ChelminskiDepartment of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Stephen W MarshallInjury Prevention Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
University of North Carolina at Chapel Hill · US

Funding

Evaluation of a community-based initiative to prevent opioid overdoseU01CE002162 · CE · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI RINGWALT, CHRISTOPHER L · 2012 to 2013
$397k
National Center for Injury Prevention and Control (US) 5U01CE002162-02NCIPC CDC HHS U01 CE002162
6 · The paper itself

Abstract

backgroundProject Lazarus (PL) is a seven-strategy, community-coalition-based intervention designed to reduce opioid overdose and dependence. The seven strategies include: community education, provider education, hospital emergency department policy change, diversion control, support programs for patients with pain, naloxone policies, and addiction treatment expansion. PL was originally developed in Wilkes County, NC. It was made available to all counties in North Carolina starting in March 2013 with funding of up to $34,400 per county per year. We examined the association between PL implementation and 1) overall dispensing rate of opioid analgesics, and 2) utilization of buprenorphine. Buprenorphine is often used in connection with medication assisted treatment (MAT) for opioid dependence.

methodsObservational interrupted time series analysis of 100 counties over 2009-2014 (n = 7200 county-months) in North Carolina. The intervention period was March 2013-December 2014. 74 of 100 counties implemented the intervention. Exposure data sources comprised process surveys, training records, Prescription Drug Monitoring Program (PDMP) data, and methadone treatment program quality data. Outcomes were PDMP-derived counts of opioid prescriptions and buprenorphine patients. Incidence Rate Ratios were estimated with adjusted GEE Poisson regression models of all seven PL strategies.

resultsIn adjusted models, diversion control efforts were positively associated with increased dispensing of opioid analgesics (IRR: 1.06; 95% CI: 1.03, 1.09). None of the other PL strategies were associated with reduced prescribing of opioid analgesics. Support programs for patients with pain were associated with a non-significant decrease in buprenorphine utilization (IRR: 0.93; 95% CI: 0.85, 1.02), but addiction treatment expansion efforts were associated with no change in buprenorphine utilization (IRR: 0.98; 95% CI: 0.91, 1.06).

conclusionsImplementation of PL strategies did not appreciably reduce opioid dispensing and did not increase buprenorphine utilization. These results are consistent with previous findings of limited impact of PL strategies on overdose morbidity and mortality. Future studies should analyze the uptake of MAT using a more expansive view of institutional barriers, treating community coalition activity around MAT as an effect modifier.

Indexed as

BuprenorphineCommunity coalitionsEvaluationInterrupted time seriesMATOpioidsOverdosePDMPPrevention

Identifiers

PMID30663005
PMCPMC6339867
OpenAlexW2920590001

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.