Evidence map›Paper›PMID 29527457›Full record

ArticleCurrent behavioral neuroscience reports2015

The Use of New Communications Technologies to Evaluate and Intervene in Substance Use Disorders.

James R McKay

Abstract read
In one paragraph

Article in Current behavioral neuroscience reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

1 author.

James R McKayPerelman School of Medicine, University of Pennsylvania, And Philadelphia Veterans Affairs Medical Center.

Funding

Impact of enhancements to smartphone-based continuing care for alcohol dependenceR01AA022595 · NIAAA · UNIVERSITY OF PENNSYLVANIA · PI GUSTAFSON, DAVID H, MCKAY, JAMES R. · 2014 to 2018
$3.3M
Adaptive Treatment Models for the Management of Drug Use DisordersK24DA029062 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI MCKAY, JAMES R. · 2010 to 2021
$1.6M
NIAAA NIH HHS R01 AA022595NIDA NIH HHS K24 DA029062
6 · The paper itself

Abstract

The widespread availability of high speed, mobile cellular telephones and other advances in communication technology have the potential to change the way that interventions for substance use disorders (SUD) are delivered and how progress is monitored. This article reviews recent research on the use of new technology to monitor progress and deliver interventions for SUD. Several studies of telephone-based interventions show positive effects, but sometimes only in certain subgroups. However, other studies produced negative results. Studies support the use of interactive voice response (IVR) and personal digital assistants (PDAs) to conduct assessments, but there is little data on whether IVR- or PDA-based interventions improve outcomes. Text messaging has received comparatively little research, but appears promising as a means to conduct assessments and deliver automated interventions. Finally, smartphone technology provides the widest range of features and interventions and the greatest flexibility, but few intervention studies that use them have been conducted.

Indexed as

automatedbiosensorscommunication technologycomputerizedcounselingGPSinteractive voice responsemonitoringpersonal digital assistantrelapse preventionsmartphoneSMSSubstance use disorderstelephonetextingtheories of behavior changetreatment

Identifiers

PMID29527457
PMCPMC5844699

What OpenQuestion holds

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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.