Evidence map›Paper›PMID 19802647›Full record

ArticleAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2009

A behavior change model for internet interventions.

Lee M Ritterband, Frances P Thorndike, Daniel J Cox, Boris P Kovatchev, Linda A Gonder-Frederick

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 285 papers, 17 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
285citing papers in PubMed, 17 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

285 citing papers in PubMed, 17 syntheses or guidelines pooled it.

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  14. Effectiveness of Internet-based interventions in managing chemotherapy-related symptoms in patients with cancer: a systematic literature review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2018
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  17. Health Worker mHealth Utilization: A Systematic Review.Computers, informatics, nursing : CIN · 2016
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  20. Digital Skin Cancer Risk Reduction Interventions for Young Adults: Findings from a Hybrid Type-II Effectiveness-Implementation Trial.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Trial

225 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Lee M RitterbandDepartment of Psychiatry and Neurobehavioral Sciences, Behavioral Health and Technology, University of Virginia Health System, PO Box 801075, Charlottesville, VA 22908, USA. LEER@virginia.edu
Frances P Thorndike
Daniel J Cox
Boris P Kovatchev
Linda A Gonder-Frederick

Funding

TREATMENT OF EARLY CHILDHOOD CONSTIPATION AND ENCOPRESISR01HD028160 · NICHD · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI RITTERBAND, LEE M · 1992 to 2010
$4.5M
Internet Insomnia intervention: Development/FeasibilityR34MH070805 · NIMH · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI RITTERBAND, LEE M · 2004 to 2006
$609k
NICHD NIH HHS R01 HD028160NICHD NIH HHS R01HD028160NIMH NIH HHS R34 MH070805NIMH NIH HHS R34MH70805
6 · The paper itself

Abstract

backgroundThe Internet has become a major component to health care and has important implications for the future of the health care system. One of the most notable aspects of the Web is its ability to provide efficient, interactive, and tailored content to the user. Given the wide reach and extensive capabilities of the Internet, researchers in behavioral medicine have been using it to develop and deliver interactive and comprehensive treatment programs with the ultimate goal of impacting patient behavior and reducing unwanted symptoms. To date, however, many of these interventions have not been grounded in theory or developed from behavior change models, and no overarching model to explain behavior change in Internet interventions has yet been published. PURPOSE: The purpose of this article is to propose a model to help guide future Internet intervention development and predict and explain behavior changes and symptom improvement produced by Internet interventions.

resultsThe model purports that effective Internet interventions produce (and maintain) behavior change and symptom improvement via nine nonlinear steps: the user, influenced by environmental factors, affects website use and adherence, which is influenced by support and website characteristics. Website use leads to behavior change and symptom improvement through various mechanisms of change. The improvements are sustained via treatment maintenance.

conclusionBy grounding Internet intervention research within a scientific framework, developers can plan feasible, informed, and testable Internet interventions, and this form of treatment will become more firmly established.

Indexed as

Computer SimulationInternetModels, PsychologicalBehavior TherapyEvaluation Studies as TopicHumansTherapy, Computer-AssistedUser-Computer Interface

Identifiers

PMID19802647
PMCPMC2878721

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.