Evidence map›Paper›PMID 31302412›Full record

ArticleDrug and alcohol dependence2019

Monitoring opioid addiction and treatment: Do you know if your population is engaged?

José Tomás Prieto, Dean McEwen, Arthur J Davidson, Alia Al-Tayyib, Lisa Gawenus, Sridhar R Papagari Sangareddy, Joshua Blum, Seth Foldy, Judith C Shlay

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 25 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

9 authors at 4 institutions in 1 country.

José Tomás PrietoDivision of Scientific Education and Professional Development, Centers for Disease Control and Prevention, Atlanta, GA, USA; Denver Public Health, Denver Health and Hospital Authority, Denver, CO, USA. Electronic address: nto3@cdc.gov.
Dean McEwenDenver Public Health, Denver Health and Hospital Authority, Denver, CO, USA.
Arthur J DavidsonDenver Public Health, Denver Health and Hospital Authority, Denver, CO, USA; Department of Preventive Medicine and Biometrics, University of Colorado School of Medicine, Aurora, CO, USA; Department of Family Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Alia Al-TayyibDenver Public Health, Denver Health and Hospital Authority, Denver, CO, USA; Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA.
Lisa GawenusOutpatient Behavioral Health Services, Denver Health and Hospital Authority, CO, USA.
Sridhar R Papagari SangareddyDivision of Scientific Education and Professional Development, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Joshua BlumAmbulatory Care Services, Denver Health and Hospital Authority, Denver, CO, USA; University of Colorado School of Medicine, University of Colorado, Aurora, CO, USA.
Seth FoldyDenver Public Health, Denver Health and Hospital Authority, Denver, CO, USA; Department of Family Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Judith C ShlayDenver Public Health, Denver Health and Hospital Authority, Denver, CO, USA; Department of Family Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
University of Colorado Hospital · USCenters for Disease Control and Prevention · USDenver Health Medical Center · USColorado School of Public Health · US

Funding

Social Networks of Youth who Misuse Prescription Opioids and Risk for HIV/HCVK01DA036452 · NIDA · DENVER HEALTH AND HOSPITAL AUTHORITY · PI AL-TAYYIB, ALIA · 2014 to 2018
$758k
Intramural CDC HHS CC999999NIDA NIH HHS K01 DA036452
6 · The paper itself

Abstract

backgroundAssessment of people affected by opioid-related problems and those receiving care is challenging due to lack of common definitions and scattered information. We sought to fill this gap by demonstrating a method to describe a continuum of opioid addiction care in a large, public safety-net institution.

methodsUsing 2017 clinical and administrative data from Denver Health (DH), we created operational definitions for opioid use disorder (OUD), opioid misuse (OM), and opioid poisoning (OP). Six stages along a continuum of patient engagement in opioid addiction care were developed, and operational definitions assigned patients to stages for a specific time point of analysis. National data was used to estimate the Denver population affected by OUD, OM and OP.

resultsIn 2017, an estimated 6688 people aged ≥12 years were affected by OUD, OM, or OP in Denver; 48.4% (3238/6688) were medically diagnosed in DH. Of those, 32.5% (1051/3238) were in the medication assisted treatment stage, and, of those, 59.8% (629/1051) in the adhered to treatment stage. Among that latter group, 78.4% (493/629) adhered at least 90 days and 52.3% (329/629) for more than one year. Among patients who received medication assisted treatment, less than one third (31.3%, 329/1051) were adherent for more than one year.

conclusionsA health-system level view of the continuum of opioid addiction care identified improvement opportunities to better monitor accuracy of diagnosis, treatment capacity, and effectiveness of patient engagement. Applied longitudinally at local, state and national levels, the model could better synergize responses to the opioid crisis.

Indexed as

AdolescentAdultAnalgesics, OpioidChildColoradoFemaleHumansMaleMiddle AgedOpiate Substitution TreatmentOpioid-Related DisordersPatient ParticipationResearch DesignSafety-net ProvidersYoung AdultAnalgesics, OpioidContinuity of patient careHeroinOpiate substitution treatmentOpioid crisisOpioid-related disorders

Identifiers

PMID31302412
PMCPMC6685741
OpenAlexW2956153657

What OpenQuestion holds

Textmetadata
LicenceTDM
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.