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Database of Abstracts of Reviews of Effects (DARE): Quality-assessed Reviews [Internet]. York (UK): Centre for Reviews and Dissemination (UK); 1995-.

Database of Abstracts of Reviews of Effects (DARE): Quality-assessed Reviews.

Efficacy of computer technology-based HIV prevention interventions: a meta-analysis

Review published: 2009.

Bibliographic details: Noar SM, Black HG, Pierce LB.  Efficacy of computer technology-based HIV prevention interventions: a meta-analysis. AIDS 2009; 23(1): 107-115. [PubMed: 19050392]

Quality assessment

The authors concluded that computer-technology based interventions showed promise for future prevention of HIV (human immunodeficiency virus). Continued development, testing and dissemination could increase the public health impact of HIV behavioural interventions and potentially avoid new infections. Potential limitations in the review process and uncertainties about the quality and pooling of studies make the reliability of the authors' conclusions unclear. Full critical summary

Abstract

OBJECTIVES: To conduct a meta-analysis of computer technology-based HIV prevention behavioral interventions aimed at increasing condom use among a variety of at-risk populations.

DESIGN: Systematic review and meta-analysis of existing published and unpublished studies testing computer-based interventions.

METHODS: Meta-analytic techniques were used to compute and aggregate effect sizes for 12 randomized controlled trials that met inclusion criteria. Variables that had the potential to moderate intervention efficacy were also tested.

RESULTS: The overall mean weighted effect size for condom use was d = 0.259 (95% confidence interval = 0.201, 0.317; Z = 8.74, P < 0.001; N = 4639), indicating a statistically significant impact of the interventions. This effect size compares favorably to previously tested interventions delivered by human facilitators. Statistically significant effect sizes were also found for frequency of sexual behavior, number of partners, and incident sexually transmitted diseases. In addition, interventions were significantly more efficacious when they were directed at men or women (versus mixed sex groups), utilized individualized tailoring, used a Stages of Change model, and had more intervention sessions.

CONCLUSION: Computer technology-based HIV prevention interventions have similar efficacy to more traditional human-delivered interventions. Given their low cost to deliver, ability to customize intervention content, and flexible dissemination channels, they hold much promise for the future of HIV prevention.

CRD has determined that this article meets the DARE scientific quality criteria for a systematic review.

Copyright © 2013 University of York.

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