Evidence map›Paper›PMID 23293549›Full record

ReviewAlcohol research & health : the journal of the National Institute on Alcohol Abuse and Alcoholism2011

An e-health solution for people with alcohol problems.

David H Gustafson, Michael G Boyle, Bret R Shaw, Andrew Isham, Fiona McTavish, Stephanie Richards, Christopher Schubert, Michael Levy, Kim Johnson

Abstract readReview
In one paragraph

Review in Alcohol research & health : the journal of the National Institute on Alcohol Abuse and Alcoholism, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

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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

9 authors.

David H GustafsonCenter for Health Enhancement Systems Studies and NIATx (formerly known as the Network for the Improvement of Addiction Treatment) at the University of Wisconsin-Madison, Madison, Wisconsin.
Michael G Boyle
Bret R Shaw
Andrew Isham
Fiona McTavish
Stephanie Richards
Christopher Schubert
Michael Levy
Kim Johnson

Funding

Developing and Testing a Computer-Based Alcohol Use Disorder Recovery SystemR01AA017192 · NIAAA · UNIVERSITY OF WISCONSIN-MADISON · PI GUSTAFSON, DAVID H · 2008 to 2012
$2.9M
NIAAA NIH HHS R01 AA017192
6 · The paper itself

Abstract

Self-management of chronic diseases has been a research focus for years. Information and communication technologies (ICTs) have played a significant role in aiding patients and their families with that management task. The recent dramatic increase in smartphone capabilities has expanded the potential of these technologies by facilitating the integration of features specific to cell phones with advanced capabilities that extend the reach of what type of information can be assessed and which services can be provided. A recent review of the literature covering the use of ICTs in managing chronic diseases, including addiction, has examined the effectiveness of ICTs, with an emphasis on technologies tested in randomized controlled trials. One example of an addiction-relapse prevention system currently being tested is the Alcohol Comprehensive Health Enhancement Support System (A-CHESS) Program.

Indexed as

Cell PhoneSocial SupportAlcoholismHealth PromotionHumansSelf CareAlcohol Comprehensive Health Enhancement Support System (A-CHESS) ProgramAlcohol use disorders (AUDs)continuing careinformation and communication technologies (ICTs)literature reviewself-managementsmartphonetelecommunication technologytreatment method

Identifiers

PMID23293549
PMCPMC3536059

What OpenQuestion holds

Textmetadata
LicenceCC0
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.