Evidence map›Paper›PMID 28027027›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2017

Estimating State Transitions for Opioid Use Disorders.

Emanuel Krebs, Jeong E Min, Elizabeth Evans, Libo Li, Lei Liu, David Huang, Darren Urada, Thomas Kerr, Yih-Ing Hser, Bohdan Nosyk

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Economic Evaluation in Opioid Modeling: Systematic Review.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2021
    Pooled it
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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

10 authors.

Emanuel KrebsBritish Columbia Centre for Excellence in HIV/AIDS (EK, JEM, TK, BN).
Jeong E MinBritish Columbia Centre for Excellence in HIV/AIDS (EK, JEM, TK, BN).
Elizabeth EvansUCLA Integrated Substance Abuse Programs (EE, LL, DH, DU, YH).
Libo LiUCLA Integrated Substance Abuse Programs (EE, LL, DH, DU, YH).
Lei LiuNorthwestern University Feinberg School of Medicine (LL).
David HuangUCLA Integrated Substance Abuse Programs (EE, LL, DH, DU, YH).
Darren UradaUCLA Integrated Substance Abuse Programs (EE, LL, DH, DU, YH).
Thomas KerrBritish Columbia Centre for Excellence in HIV/AIDS (EK, JEM, TK, BN).
Yih-Ing HserUCLA Integrated Substance Abuse Programs (EE, LL, DH, DU, YH).
Bohdan NosykBritish Columbia Centre for Excellence in HIV/AIDS (EK, JEM, TK, BN).

Funding

STATISTICAL SUPPORT/DATA MANAGEMENT COREP30DA016383 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSER, YIH-ING · 2005 to 2015
$8.6M
A Comparison of Methadone Treatment Systems in California and British ColumbiaR01DA031727 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NOSYK, BOHDAN · 2011 to 2013
$512k
An empirical investigation into recovery from illicit drug abuse using recurrentR01DA032551 · NIDA · UNIVERSITY OF BRITISH COLUMBIA · PI MONTANER, JULIO SERGIO GONZALEZ, NOSYK, BOHDAN · 2012 to 2014
$500k
NIDA NIH HHS P30 DA016383NIDA NIH HHS R01 DA031727NIDA NIH HHS R01 DA032551
6 · The paper itself

Abstract

aimThe aim was to estimate transitions between periods in and out of treatment, incarceration, and legal supervision, for prescription opioid (PO) and heroin users.

methodsWe captured all individuals admitted for the first time for publicly funded treatment for opioid use disorder (OUD) in California (2006 to 2010) with linked mortality and criminal justice data. We used Cox proportional hazards and competing risks models to assess the effect of primary PO use (v. heroin) on the hazard of transitioning among 5 states: (1) opioid detoxification treatment; (2) opioid agonist treatment (OAT); (3) legal supervision (probation or parole); (4) incarceration (jail or prison); and (5) out-of-treatment. Transitions were conditional on survival, and death was modeled as an absorbing state.

resultsBoth primary PO (n = 11,733) and heroin (n = 19,926) users spent most of their median 2.3 y of observation out of treatment. Primary PO users were significantly younger (median age 30 v. 34 y), and a higher percentage were female (43.1% v. 31.5%; P < 0.001), white (74.6% v. 63.1%; P < 0.001), and had completed high school (31.8% v. 18.9%; P < 0.001). When compared to primary heroin users, PO users had a higher hazard of transitioning from detoxification to OAT (Hazard Ratio (HR), 1.65; 95% CI, 1.54 to 1.77), and had a lower hazard of transitioning from out-of-treatment to either detoxification (0.75 [0.70, 0.81]) or OAT (0.90 [0.85, 0.96]).

conclusionOur findings can be applied directly in state transition modeling to improve the validity of health economic evaluations. Although PO users tended to remain in treatment for longer durations than heroin users, they also tended to remain out of treatment for longer after transitioning to an out-of-treatment state. Despite the proven effectiveness of time-unlimited treatment, individuals with OUD spend most of their time out of treatment.

Indexed as

AdultCaliforniaFemaleHumansMaleOpioid-Related DisordersRetrospective Studiescriminal justiceheroinopioid use disorder treatmentprescription opioidsstate transitionssubdistribution hazard model

Identifiers

PMID28027027
PMCPMC5536954

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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.