Cited by 591Digital Mental Health InterventionsMobile Health and mHealth ApplicationsBehavioral Health and Interventions

The DOI matches its Crossref record; 67 of the 71 references it cites were found in a registry or an index; none of the 60 sources its claims cite is checked for support yet.

A Behavior Change Model for Internet Interventions

Open access

Abstract

BACKGROUND: The 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. RESULTS: The 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. CONCLUSION: By 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.

Overview

Integrity signals

Registry

Crossref · 10.1007/s12160-009-9133-4

Cites

67 of 67 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

84 Own interpretation · 31 Not checked yet · 1 Sources not found · 1 No basis given

Verify all 59 references — free account

Show all 38 claims

  • Probably not a substantial claim. 64
  • The quote only partly states this claim. 2
  • It may state two separate claims as one. 30
79 of 79
  • The paper relies on this without support.

    Many Internet interventions have not been grounded in theory or developed from behavior change models.

    “To date, however, many of these interventions have not been grounded in theory or developed from behavior change models”
  • The paper relies on this without support.

    No overarching model to explain behavior change in Internet interventions has yet been published.

    “and no overarching model to explain behavior change in Internet interventions has yet been published.”
  • The paper relies on this without support.

    There has been no published theoretical model underlying these programs.

    “Although there has been a recent proliferation of Internet health interventions [1, 4, 10], there has been no published theoretical model underlying these programs.”
  • The paper relies on this without support.

    We are unaware of literature documenting how technology, specifically the Internet, can be used to promote behavior change and subsequent symptom improvement with an underlying theoretical model.

    “Although various books provide recommendations for effective website design [19], we are unaware of literature documenting how technology, specifically the Internet, can be used to promote behavior change and subsequent symptom improvement with an underlying theoretical model.”
  • The paper relies on this without support.

    Feasibility and efficacy data have been established in Internet intervention research, but true effectiveness studies are needed.

    “While feasibility and efficacy data have been established in Internet intervention research, true effectiveness studies are needed.”
  • The paper relies on this without support.

    Any type of prevention or treatment program can fit within the website and website use components of the model.

    “In a sense, the website and website use components of this model could be considered a “black box” in that any type of prevention or treatment program could fit here.”
6 of 6

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Citations

Cites

Show all 71 references

Research works printed but not linked: 2

  1. Petty RE, Cacioppo JT. Motivational factors in consumer response to advertisements. In: Geen RG, Beatty WW, Arkin RM, eds. Human Motivation. New York: Allyn and Bacon; 1984: 418-454.
  2. US Department of Commerce. A Nation Online: How Americans are Expanding their Use of the Internet. US Department of Commerce. Washington: Government Printing Office; 2002.

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Metadata

Authors
Ritterband, L. M., Thorndike, F. P., Cox, D. J., Kovatchev, B. P., & Gonder-Frederick, L. A.
Affiliations
University of Virginia Health System (US)
Corresponding author
Ritterband, Lee M.
Venue
Annals of Behavioral Medicine
Published
2009-08
Volume
38
Issue
1
Pages
18-27
ISSN
  • 0742-5554 (ISSN-L)
  • 0883-6612
  • 1532-4796
OpenAlex
W2161380409
Cited by
591
References
71
Citations by year
2026: 13 · 2025: 22 · 2024: 22 · 2023: 45 · 2022: 29 · 2021: 45 · 2020: 50 · 2019: 43 · 2018: 48 · 2017: 33 · 2016: 48 · 2015: 31 · 2014: 53 · 2013: 34 · 2012: 37
FWCI
29.00
Type
journal article
Language
en
Open access
Locations
  • Annals of Behavioral Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health
  • National Institute of Mental Health (R34 MH70805, R34MH070805)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD028160)
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
Keywords
online intervention, behavior change models, online health interventions, mechanisms of change, medication adherence, maintenance therapy, symptom improvement, website characteristics, user support, environmental factors, behavioral medicine
MeSH terms
Behavior Therapy, Computer Simulation, Evaluation Studies as Topic, Humans, Models, Psychological, Therapy, Computer-Assisted, User-Computer Interface, Internet

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