Evidence map›Paper›PMID 24073174›Full record

ReviewTranslational behavioral medicine2013

Using findings in multimedia learning to inform technology-based behavioral health interventions.

Ian David Aronson, Lisa A Marsch, Michelle C Acosta

Abstract readReview
In one paragraph

Review in Translational behavioral medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  19. How Patient Interactions With a Computer-Based Video Intervention Affect Decisions to Test for HIV.Health education & behavior : the official publication of the Society for Public Health Education · 2014
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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

3 authors.

Ian David AronsonCenter for Technology and Health, National Development and Research Institutes, Inc., 71 West 23rd Street, New York, NY 10010 USA.
Lisa A Marsch
Michelle C Acosta

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
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
NIDA NIH HHS P30 DA029926NIDA NIH HHS R01 DA029630
6 · The paper itself

Abstract

Clinicians and researchers are increasingly using technology-based behavioral health interventions to improve intervention effectiveness and to reach underserved populations. However, these interventions are rarely informed by evidence-based findings of how technology can be optimized to promote acquisition of key skills and information. At the same time, experts in multimedia learning generally do not apply their findings to health education or conduct research in clinical contexts. This paper presents an overview of some key aspects of multimedia learning research that may allow those developing health interventions to apply informational technology with the same rigor as behavioral science content. We synthesized empirical multimedia learning literature from 1992 to 2011. We identified key findings and suggested a framework for integrating technology with educational and behavioral science theory. A scientific, evidence-driven approach to developing technology-based interventions can yield greater effectiveness, improved fidelity, increased outcomes, and better client service.

Indexed as

BehaviorComputerInterventionLearningMultimediaTechnology

Identifiers

PMID24073174
PMCPMC3771008

What OpenQuestion holds

Textmetadata
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.