Cited by 689Behavioral Health and InterventionsMobile Health and mHealth ApplicationsDigital Mental Health Interventions

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A Meta-Analysis of Web-Delivered Tailored Health Behavior Change Interventions

Lustria, Mia Liza A., Noar, Seth M., Cortese, Juliann, Van Stee, Stephanie K., Glueckauf, Robert L., Lee, Junga·2013·Journal of Health Communication

DOI 10.1080/10810730.2013.768727

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Abstract

Web-based tailored intervention programs show considerable promise in effecting health-promoting behaviors and improving health outcomes across a variety of medical conditions and patient populations. This meta-analysis compares the effects of tailored versus nontailored web-based interventions on health behaviors and explores the influence of key moderators on treatment outcomes. Forty experimental and quasi-experimental studies (N =20,180) met criteria for inclusion and were analyzed using meta-analytic procedures. The findings indicated that web-based tailored interventions effected significantly greater improvement in health outcomes as compared with control conditions both at posttesting, d =.139 (95% CI = .111, .166, p <.001, k =40) and at follow-up, d =.158 (95% CI = .124, .192, p <.001, k =21). The authors found no evidence of publication bias. These results provided further support for the differential benefits of tailored web-based interventions over nontailored approaches. Analysis of participant/descriptive, intervention, and methodological moderators shed some light on factors that may be important to the success of tailored interventions. Implications of these findings and directions for future research are discussed.

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“The use of tailoring in online programming has been shown to outperform non-tailored health behavior change interventions.(20,22) In a meta-analytic review, interventions with tailoring on both theoretical factors, such as self-efficacy, and behavior were found to have an effect size of .”
Method
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Authors: Lustria, M. L. A., Noar, S. M., Cortese, J., Van Stee, S. K., Glueckauf, R. L., & Lee, J.
Affiliations: Florida State University (US)
University of North Carolina at Chapel Hill (US)
Yonsei University (KR)
Corresponding author: Lustria, Mia Liza A.
ORCID: Lustria, Mia Liza A.
Noar, Seth M.
Glueckauf, Robert L.
Lee, Junga
Venue: Journal of Health Communication
Publisher: Informa UK Limited
Published: 2013-09
Volume: 18
Issue: 9
Pages: 1039-1069
ISSN: 1081-0730 (ISSN-L)
1087-0415
DOI: 10.1080/10810730.2013.768727
OpenAlex: W2057902960
Cited by: 689
References: 102
Citations by year: 2026: 25 · 2025: 63 · 2024: 45 · 2023: 62 · 2022: 68 · 2021: 69 · 2020: 61 · 2019: 68 · 2018: 52 · 2017: 57 · 2016: 41 · 2015: 49 · 2014: 25 · 2013: 3
FWCI: 4.80
Type: journal article
Language: en
Open access: closed
Locations: Journal of Health Communication (publishedVersion)
PubMed (publishedVersion)
Topics: Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Keywords: personalized interventions, online intervention, health behavior change, health-promoting behaviors, health outcomes, treatment moderators, online health interventions
MeSH terms: Adolescent, Adult, Behavior Therapy, Child, Female, Follow-Up Studies, Health Promotion, Humans, Male, Middle Aged, Program Evaluation, Health Behavior, Randomized Controlled Trials as Topic, Treatment Outcome, Internet, Young Adult

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A Meta-Analysis of Web-Delivered Tailored Health Behavior Change Interventions

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