Evidence map›Paper›PMID 33507985›Full record

ArticlePloS one2021

Sustainability planning in the US response to the opioid crisis: An examination using expert and text mining approaches.

Carlos Gallo, Karen Abram, Nanette Hannah, Lauren Caton, Barbara Cimaglio, Mark McGovern, C Hendricks Brown

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Carlos GalloDepartment of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.ORCID 0000-0003-3270-8786
Karen AbramDepartment of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.
Nanette HannahDepartment of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.
Lauren CatonDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, California, United States of America.ORCID 0000-0002-4376-1251
Barbara CimaglioIllinois Department of Human Services, Division of Substance Use Prevention and Recovery, Chicago, Illinois, United States of America.
Mark McGovernDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, California, United States of America.ORCID 0000-0002-9736-573X
C Hendricks BrownDepartment of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.
Northwestern University · USStanford University · USIllinois Department of Human Services · US

Funding

INNOVATIVE IMPLEMENTATION RESEARCH METHODS COREP30DA027828 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BROWN, C. HENDRICKS, MUSTANSKI, BRIAN · 2011 to 2020
$11.4M
Using NIATx Strategies to Implement Integrated Services in Routine CareR01DA037222 · NIDA · STANFORD UNIVERSITY · PI FORD, JAMES H, MCGOVERN, MARK P · 2015 to 2019
$2.9M
NIDA NIH HHS P30 DA027828NIDA NIH HHS R01 DA037222
6 · The paper itself

Abstract

Between January 2016 and June 2020, the Substance Abuse and Mental Health Services Administration rapidly distributed $7.5 billion in response to the U.S. opioid crisis. These funds are designed to increase access to medications for addiction treatment, reduce unmet treatment need, reduce overdose death rates, and provide and sustain effective prevention, treatment and recovery activities. It is unclear whether or not the services developed using these funds will be sustained beyond the start-up period. Based on 34 (64%) State Opioid Response (SOR) applications, we assessed the states' sustainability plans focusing on potential funding sources, policies, and quality monitoring. We found variable commitment to sustainability across response plans with less than half the states adequately describing sustainability plans. States with higher proportions of opioid prescribing, opioid misuse, and poverty had somewhat higher scores on sustainment. A text mining/machine learning approach automatically rated sustainability in SOR applications with an 82% accuracy compared to human ratings. Because life saving evidence-based programs and services may be lost, intentional commitment to sustainment beyond the bolus of start-up funding is essential.

Indexed as

Data MiningOpioid EpidemicPolicyAnalgesics, OpioidDrug OverdoseHumansMental Health ServicesOpioid-Related DisordersUnited StatesUnited States Substance Abuse and Mental Health Services AdministrationAnalgesics, Opioid

Identifiers

PMID33507985
PMCPMC7842889
OpenAlexW3122515987

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.