Evidence map›Paper›PMID 26456717›Full record

ArticleJournal of substance abuse treatment2016

Examining Longitudinal Stimulant Use and Treatment Attendance as Parallel Outcomes in Two Contingency Management Randomized Clinical Trials.

Sterling McPherson, Olivia Brooks, Celestina Barbosa-Leiker, Crystal Lederhos, Amanda Lamp, Sean Murphy, Matthew Layton, John Roll

Open access · bronzeAbstract read
In one paragraph

Article in Journal of substance abuse treatment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. 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

8 authors at 3 institutions in 1 country.

Sterling McPhersonWashington State University, College of Nursing; Washington State University, Program of Excellence in Addictions Research; Washington State University, Translational Addictions Research Center; Washington State University, Department of Health Policy and Administration. Electronic address: smcpherson05@wsu.edu.
Olivia BrooksWashington State University, College of Nursing; Washington State University, Program of Excellence in Addictions Research; Washington State University, Translational Addictions Research Center.
Celestina Barbosa-LeikerWashington State University, College of Nursing; Washington State University, Program of Excellence in Addictions Research; Washington State University, Translational Addictions Research Center.
Crystal LederhosWashington State University, College of Nursing; Washington State University, Program of Excellence in Addictions Research; Washington State University, Translational Addictions Research Center.
Amanda LampWashington State University, Program of Excellence in Addictions Research; Washington State University, Elson S. Floyd College of Medicine.
Sean MurphyWashington State University, College of Nursing; Washington State University, Program of Excellence in Addictions Research; Washington State University, Translational Addictions Research Center; Washington State University, Department of Health Policy and Administration.
Matthew LaytonWashington State University, Program of Excellence in Addictions Research; Washington State University, Translational Addictions Research Center; Washington State University, Elson S. Floyd College of Medicine.
John RollWashington State University, College of Nursing; Washington State University, Program of Excellence in Addictions Research; Washington State University, Translational Addictions Research Center; Washington State University, Department of Health Policy and Administration.
Washington State University · USGeorgia Highlands College · USWashington State Department of Health · US

Funding

CLINICAL TRIALS NETWORK: PACIFIC NORTHWEST NODEU10DA013714 · NIDA · UNIVERSITY OF WASHINGTON · PI DONOVAN, DENNIS MICHAEL, ROLL, JOHN M. · 2001 to 2015
$25.5M
Utilization of health services after engagement with opioid use disorder (OUD) treatment provider by individuals with and without post-traumatic stress disorderP30DA040500 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Benjamin P. Linas · 2015 to 2026
$20.7M
Clinical Trials Network: Pacific Northwest Node (CTN-0082, -0131, -0139 and dissemination library)UG1DA013714 · NIDA · UNIVERSITY OF WASHINGTON · PI Mary Akiko Hatch, John M. Roll · 2015 to 2026
$19.8M
NIDA NIH HHS 5 U10 DA013714-10NIDA NIH HHS L30 DA038339NIDA NIH HHS P30 DA040500NIDA NIH HHS U10 DA013714NIDA NIH HHS UG1 DA013714
6 · The paper itself

Abstract

The primary aim of this study was to examine stimulant use and longitudinal treatment attendance in one 'parallel outcomes' model in order to determine how these two outcomes are related to one another during treatment, and to quantify how the intervention impacts these two on- and off-target outcomes differently. Data came from two multi-site randomized clinical trials (RCTs) of contingency management (CM) that targeted stimulant use. We used parallel multilevel modeling to examine the impact of multiple pre-specified covariates, including selected Addiction Severity Index (ASI) scores, age and sex, in addition to CM on concurrent attendance and stimulant use in two separate analyses, i.e., one per trial. In one trial, CM was positively associated with attending treatment throughout the trial (β=0.060, p<0.05). In the second trial, CM predicted negative urinalysis ((-)UA) over the 12-week treatment period (β=0.069, p<0.05). In both trials, there was a significant, positive relationship between attendance and (-)UA submission, but in the first trial a (-)UA at both baseline and over time was related to attendance over time (r=0.117; r=0.013, respectively) and in the second trial, a (-)UA submission at baseline was associated with increased attendance over time (r=0.055). These findings indicate that stimulant use and treatment attendance over time are related but distinct outcomes that, when analyzed simultaneously, portray a more informative picture of their predictors and the separate trajectories of each. This 'indirect reinforcement' between two clinically meaningful on-target (directly reinforced behavior) and off-target (indirectly reinforced behavior) outcomes is in need of further examination in order to fully exploit the potential clinical benefits that could be realized in substance use disorder treatment trials.

Indexed as

Central Nervous System StimulantsMotivationAdultBehavior TherapyFemaleHumansMaleMethadoneModels, PsychologicalRandomized Controlled Trials as TopicReinforcement, PsychologySubstance-Related DisordersCentral Nervous System StimulantsMethadoneClinical trialsContingency managementParallel growth modelingStimulant useTreatment attendance

Identifiers

PMID26456717
PMCPMC4695378
OpenAlexW1729825645

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.