Evidence map›Paper›PMID 29251978›Full record

Trial reportExperimental and clinical psychopharmacology2017

Customized recommendations and reminder text messages for automated, computer-based treatment during methadone.

Brent A Moore, Frank D Buono, Destiny M B Printz, Daniel P Lloyd, David A Fiellin, Christopher J Cutter, Richard S Schottenfeld, Declan T Barry

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Experimental and clinical psychopharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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.

Brent A MooreDepartment of Psychiatry, Yale University School of Medicine.ORCID 0000-0003-0123-6616
Frank D BuonoDepartment of Psychiatry, Yale University School of Medicine.
Destiny M B PrintzDepartment of Psychiatry, Yale University School of Medicine.ORCID 0000-0003-0116-4085
Daniel P LloydDepartment of Psychiatry, Yale University School of Medicine.
David A FiellinDepartment of Internal Medicine, Yale University School of Medicine.
Christopher J CutterDepartment of Internal Medicine, Yale University School of Medicine.
Richard S SchottenfeldDepartment of Psychiatry, Yale University School of Medicine.
Declan T BarryDepartment of Psychiatry, Yale University School of Medicine.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Automated Recovery Line for Medication Assisted TreatmentR01DA034678 · NIDA · YALE UNIVERSITY · PI MOORE, BRENT A. · 2013 to 2015
$1.2M
NCATS NIH HHS UL1 TR001863NIDA NIH HHS R01 DA034678
6 · The paper itself

Abstract

The Recovery Line is an automated, computer-based intervention based on cognitive behavioral therapy (CBT) designed to provide real-time assistance by phone for patients in methadone maintenance. Preliminary efficacy findings were promising, however, as with other computer-based systems for substance use disorder, patient system use was less than recommended. Development and evaluation of system functions to increase patient engagement and use is needed. Thus, we conducted two randomized trials to evaluate system functions designed to increase patient use of the Recovery Line among methadone-maintained patients with continued illicit drug use. In Trial 1 (n = 60), patients received customized, system use recommendations or no recommendations on each Recovery Line call. Ratings of system usability were higher for customized recommendations (CR), but number of calls and total call time did not differ by condition. Trial 2 evaluated characteristics of reminder messages (message frame and reminder latency). Participants (N = 67) received gain- and loss-frame reminder messages, and were randomly assigned to immediate, short, or long term message latency. Although message framing had no effect, gender interacted with latency condition such that females did not differ by message latency, while males had significantly greater total contact time in the short latency conditions. Number of calls differed by condition over time such that the shorter latencies led to greater calls initially, but dissipated over time. Overall the study indicates that computer-based self-management systems can be adapted to increase patient engagement and use. (PsycINFO Database Record

Indexed as

Opiate Substitution TreatmentAdultAnalgesics, OpioidFemaleFollow-Up StudiesHumansMaleMethadoneMiddle AgedOpioid-Related DisordersReaction TimeReminder SystemsRetrospective StudiesText MessagingTherapy, Computer-AssistedTreatment OutcomeAnalgesics, OpioidMethadone

Identifiers

PMID29251978
PMCPMC5737744

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.