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Meta-Analysis
. 2010 Sep-Oct;51(3-4):214-21.
doi: 10.1016/j.ypmed.2010.06.004. Epub 2010 Jun 15.

A meta-analysis of computer-tailored interventions for health behavior change

Affiliations
Meta-Analysis

A meta-analysis of computer-tailored interventions for health behavior change

Paul Krebs et al. Prev Med. 2010 Sep-Oct.

Abstract

Objective: Computer-tailored interventions have become increasingly common for facilitating improvement in behaviors related to chronic disease and health promotion. A sufficient number of outcome studies from these interventions are now available to facilitate the quantitative analysis of effect sizes, permitting moderator analyses that were not possible with previous systematic reviews.

Method: The present study employs meta-analytic techniques to assess the mean effect for 88 computer-tailored interventions published between 1988 and 2009 focusing on four health behaviors: smoking cessation, physical activity, eating a healthy diet, and receiving regular mammography screening. Effect sizes were calculated using Hedges g. Study, tailoring, and demographic moderators were examined by analyzing between-group variance and meta-regression.

Results: Clinically and statistically significant overall effect sizes were found across each of the four behaviors. While effect sizes decreased after intervention completion, dynamically tailored interventions were found to have increased efficacy over time as compared with tailored interventions based on one assessment only. Study effects did not differ across communication channels nor decline when up to three behaviors were identified for intervention simultaneously.

Conclusion: This study demonstrates that computer-tailored interventions have the potential to improve health behaviors and suggests strategies that may lead to greater effectiveness of these techniques.

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Conflict of interest statement

Conflict of Interest Statement James O. Prochaska is founder of and consultant to ProChange Behavior Systems, Inc., which develops and disseminates tailored interventions.

Figures

Figure 1
Figure 1
Trends in effect size over outcome time point
Figure 2
Figure 2
Trends in effect size over outcome time point by tailoring method

Comment in

References

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Studies Included for Analysis

    1. Anderson ES, Winett RA, Wojcik JR, Winett SG, Bowden T. A computerized social cognitive intervention for nutrition behavior: Direct and mediated effects on fat, fiber, fruits and vegetables, self-efficacy and outcome expectations among food shoppers. Ann Behav Med. 2001;23:88–100. - PubMed
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    1. Bastani R, Maxwell AE, Bradford C, Das IP, Yan KX. Tailored risk notification for women with a family history of breast cancer. Prev Med. 1999;29:355–364. - PubMed

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