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Cited by 566Digital Mental Health InterventionsBehavioral Health and InterventionsMobile Health and mHealth Applications

Computer-tailored health interventions delivered over the web: Review and analysis of key components

Lustria, Mia Liza A., Cortese, Juliann, Noar, Seth M., Glueckauf, Robert L.·2009·Patient Education and Counseling
DOI 10.1016/j.pec.2008.08.023
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Abstract

Objective This systematic review explores how computer-tailored, behavioral interventions implemented and delivered via the Web have been operationalized in a variety of settings.Methods Computer-tailored, online behavioral intervention studies published from 1996 to early 2007 were selected and reviewed by two independent coders.Results Of 503 studies screened, 30 satisfied the selection criteria. The level of sophistication of these interventions varied from immediate risk/health assessment, tailored web content to full-blown customized health programs. The most common variables for tailoring content were health behaviors and stages of change. Message tailoring was achieved through a combination mechanisms including: feedback, personalization and adaptation.Conclusions Tailored, self-guided health interventions delivered via the Web to date have involved a great diversity of features and formats. While some programs have been relatively brief and simple, others have involved complex, theory-based tailoring with iterative assessment, tools for development of self-regulatory skills, and various mechanisms for providing feedback.Practice implications Our ability to fully optimize the use of computer-assisted tailoring will depend on the development of empirically based guidelines for tailoring across populations, health foci, health behaviors and situations. Further outcome research is needed to enhance our understanding of how and under what conditions computer-tailoring leads to positive health outcomes in online behavioral interventions.

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  • These theories and models have been used with considerable success to tailor health behavior interventions based on pre-intervention factors, but typically have not been used to adapt the intervention to the individual over the course of the intervention.

    “these theories and models have been used with considerable success to tailor health behavior interventions based on pre-intervention factors, but typically have not been used to adapt the intervention to the individual over the course of the intervention [88, 89].”

    From Health behavior models in the age of mobile interventions: are our theories up to the task? (2011) · cites this paper as [89]

  • A review of computer-tailored interventions also reported limited effects on self-efficacy.

    “A review of computer-tailored interventions also reported limited effects on self-efficacy (Lustria et al. 2009).”

    From A meta-analysis of serious digital games for healthy lifestyle promotion (2014) · cites this paper as Lustria et al. 2009

  • Methods used in non-game healthy lifestyle interventions to maintain long-term effect on behavior include reinforcement, booster sessions, tailored reminders, self-regulation, anticipatory coping, Motivational Interviewing, and multi-level environmental changes.

    “Methods used in non-game healthy lifestyle interventions to maintain a long-term effect on behavior were providing reinforcement throughout follow-up, having booster sessions, sending tailored reminders, using self-regulation and anticipatory coping techniques to deal with potential relapse, integrating Motivational Interviewing techniques and creating healthy-behavior-facilitating changes in the”

    From A meta-analysis of serious digital games for healthy lifestyle promotion (2014) · cites this paper as Lustria, Cortese, Noar, & Glueckauf 2009

  • Use of self-regulation theories has been recommended to improve effectiveness of computer-tailored interventions.

    “For computer-tailored interventions, the use of self-regulation theories has been recommended to improve effectiveness (Lustria, Cortese, Noar, & Glueckauf 2009).”

    From A meta-analysis of serious digital games for healthy lifestyle promotion (2014) · cites this paper as Lustria, Cortese, Noar, & Glueckauf 2009

  • Tailored Web-based interventions have been recognized for statistically significant effect sizes for health behavior change among diverse populations facing chronic disease.

    “Clinically relevant results, such as adopting a healthy lifestyle or adhering to medication, and statistically significant effect sizes of tailored Web-based interventions have been recognized for health behavior change among diverse populations facing chronic disease [20,29,30].”

    From Tailored web-based interventions for pain: Systematic review and meta-analysis (2017) · cites this paper as [29]

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Authors
Lustria, M. L. A., Cortese, J., Noar, S. M., & Glueckauf, R. L.
Affiliations
  • Florida State University (US)
  • University of Kentucky (US)
Corresponding author
Lustria, Mia Liza A.
ORCID
Venue
Patient Education and Counseling
Publisher
Elsevier BV
Published
2009-02
Volume
74
Issue
2
Pages
156-173
ISSN
0738-3991 (ISSN-L)
DOI
10.1016/j.pec.2008.08.023
OpenAlex
W1991313119
Cited by
566
References
87
Citations by year
2026: 2 · 2025: 12 · 2024: 13 · 2023: 19 · 2022: 22 · 2021: 27 · 2020: 29 · 2019: 29 · 2018: 27 · 2017: 45 · 2016: 42 · 2015: 54 · 2014: 48 · 2013: 49 · 2012: 50
FWCI
4.63
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Patient Education and Counseling (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
computer-tailored intervention, web-based health interventions, message tailoring, feedback, personalization, adaptation, stages of change, self-regulation, self-guided intervention, health behavior change
MeSH terms
Adaptation, Psychological, Computer-Assisted Instruction, Decision Support Techniques, Goals, Health Education, Humans, Motivation, Nursing Assessment, Patient Care Planning, Patient Participation, Research Design, Self Care, Health Behavior, Randomized Controlled Trials as Topic, Practice Guidelines as Topic, Risk Assessment, Needs Assessment, Internet, Feedback, Psychological, Evidence-Based Practice

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