Evidence map›Paper›PMID 28662975›Full record

ArticleDrug and alcohol dependence2017

Association between process measures and mortality in individuals with opioid use disorders.

Katherine E Watkins, Susan M Paddock, Teresa J Hudson, Songthip Ounpraseuth, Amy M Schrader, Kimberly A Hepner, Bradley D Stein

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. Comparison of buprenorphine treatment by virtual-only vs. traditional clinicians.Journal of substance use and addiction treatment · 2026
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  15. Measuring and improving the quality of mental health care: a global perspective.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2018
    Article
  16. 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.

Katherine E WatkinsRAND Corporation,1776 Main Street, Santa Monica, CA, 90407, USA. Electronic address: kwatkins@rand.org.
Susan M PaddockRAND Corporation,1776 Main Street, Santa Monica, CA, 90407, USA. Electronic address: paddock@rand.org.
Teresa J HudsonCenter for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, 2200 Ft. Roots Dr., Bldg. 58, North Little Rock, AR, 72214, USA; Division of Health Services Research, University of Arkansas for Medical Sciences,4301 W. Markham St., #554, Little Rock, AR, 72205, USA. Electronic address: Teresa.Hudson@va.gov.
Songthip OunpraseuthCenter for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, 2200 Ft. Roots Dr., Bldg. 58, North Little Rock, AR, 72214, USA; College of Public Health, University of Arkansas for Medical Sciences, 4301 W. Markham St., #820, Little Rock, AR, 72205, USA. Electronic address: stounpraseuth@uams.edu.
Amy M SchraderCenter for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, 2200 Ft. Roots Dr., Bldg. 58, North Little Rock, AR, 72214, USA; College of Public Health, University of Arkansas for Medical Sciences, 4301 W. Markham St., #820, Little Rock, AR, 72205, USA. Electronic address: amschrader@uams.edu.
Kimberly A HepnerRAND Corporation,1776 Main Street, Santa Monica, CA, 90407, USA. Electronic address: hepner@rand.org.
Bradley D SteinRAND Corporation, 4570 Fifth Avenue, Suite 600, Pittsburgh, PA 15213, USA; University of Pittsburgh School of Medicine, M240 Scaife Hall, 3550 Terrace St, Pittsburgh, PA, 15261, USA. Electronic address: stein@rand.org.

Funding

Identifying Quality Indicators for Substance Use DisordersR01DA033953 · NIDA · UNIV OF ARKANSAS FOR MED SCIS · PI HUDSON, TERESA JO, WATKINS, KATHERINE E · 2012 to 2015
$840k
NIDA NIH HHS R01 DA033953
6 · The paper itself

Abstract

backgroundIndividuals with opioid use disorders have high rates of mortality relative to the general population. The relationship between treatment process and mortality is unknown.

aimTo examine the association between 7 process measures and 12- and 24-month mortality.

methodsRetrospective cohort study of patients with opioid use disorders who received care from the Veterans Administration between October 2006 and September 2007. Logistic regression models were used to examine the association between 12 and 24-month mortality and 7 patient-level process measures, while risk-adjusting for patient characteristics. Process measures included quarterly physician visits, any opioid use disorder pharmacotherapy, continuous pharmacotherapy, psychosocial treatment, Hepatitis B/C and HIV screening, and no prescriptions for benzodiazepines or opioids. We conducted sensitivity analyses to examine the robustness of our findings to an unobserved confounder.

resultsAmong individuals with opioid use disorders, not being prescribed opioids or benzodiazepines, receipt of any psychosocial treatment and quarterly physician visits were significantly associated with lower mortality at both 12 and 24 months, but Hepatitis and HIV screening, and measures related to opioid use disorder pharmacotherapy were not. Sensitivity analyses indicated that the difference in the prevalence of an unobserved confounder would have to be unrealistically large given the observed data, or there would need to be a large effect of the confounder, to render these findings non-significant. CONCLUSIONS AND RELEVANCE: This is the first study to show an association between process measures and mortality in patients with opioid use disorders and provides initial evidence for their use as quality measures.

Indexed as

AdultCohort StudiesFemaleHumansMaleMiddle AgedMortalityOpioid-Related DisordersProcess Assessment, Health CareRetrospective StudiesUnited StatesUnited States Department of Veterans AffairsMeasure validationMortalityOpioid use disordersProcess measuresQuality improvementQuality of care

Identifiers

PMID28662975
PMCPMC5557034

What OpenQuestion holds

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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.