Evidence map›Paper›PMID 22640767›Full record

ReviewThe Psychiatric clinics of North America2012

Advances in the psychosocial treatment of addiction: the role of technology in the delivery of evidence-based psychosocial treatment.

Lisa A Marsch, Jesse Dallery

Abstract readReview
In one paragraph

Review in The Psychiatric clinics of North America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 2% 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

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.

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  9. Computer-assisted behavioral therapy and contingency management for cannabis use disorder.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2015
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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

2 authors at 2 institutions in 1 country.

Lisa A MarschCenter for Technology and Behavioral Health, Dartmouth Psychiatric Research Center, Department of Psychiatry, Dartmouth College, Lebanon, NH 03766, USA. Lisa.A.Marsch@Dartmouth.edu
Jesse Dallery
Dartmouth College · USUniversity of Florida · US

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
UF Clinical and Translational Science AwardUL1TR000064 · NCATS · UNIVERSITY OF FLORIDA · PI NELSON, DAVID R · 2012 to 2014
$12.2M
Delivering Psychosocial Treatment to Substance Abusers via Mobile TechnologiesR01DA029630 · NIDA · NATIONAL DEVELOPMENT AND RESEARCH INSTITUTES, INC. · PI ACOSTA, MICHELLE C, MARSCH, LISA A. · 2012 to 2016
$2.8M
NCATS NIH HHS UL1 TR000064NIDA NIH HHS P30 DA029926NIDA NIH HHS R01 DA029630
6 · The paper itself

Abstract

The clinical community has a growing array of psychosocial interventions with a strong evidence base available for the treatment of SUDs. Considerable opportunity exists for leveraging technology in the delivery of evidence-based interventions to promote widespread reach and impact of evidence-based care. Data from this line of research to date are promising, and underscore the potential public health impact of technology-based therapeutic tools. To fully realize the potential of technology-delivered interventions, several areas of inquiry remain important. First, scientifically sound strategies should be explored to ensure technology-based interventions are optimally designed to produce maximal behavior change. Second, efficient and effective methods should be identified to integrate technology-based interventions into systems of care in a manner that is most responsive to the needs of individual users. Third, payment, privacy, and regulatory systems should be refined and extended to go beyond electronic medical records and telehealth/distance care models, and support the deployment of technology-based systems to enhance the quality, efficiency and cost-effectiveness of care. Fourth, the mechanisms underlying behavior change derived from technology-based treatments should be explicated, including new mechanisms that may be tapped via novel, technology-based tools. Such work will be critical in isolating mechanisms that are useful in predicting treatment response, and in ensuring that key ingredients are present in technology-based interventions as they are made widely available.

Indexed as

Behavior, AddictiveCell PhoneCognitive Behavioral TherapyEvidence-Based MedicineHIV InfectionsHumansInternetMotivationPatient Education as TopicRandomized Controlled Trials as TopicSocial BehaviorSubstance-Related DisordersTechnologyTherapy, Computer-AssistedUnited States

Identifiers

PMID22640767
PMCPMC3362794
OpenAlexW1596681896

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.