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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Technological capital within aging United States-based populations: challenges and recommendations for online intervention uptake
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“Rather than a variable manipulated during the process of engaging in the online intervention, it is a variable that needs to be addressed and accommodated before designing an online health intervention (Lustria et al., 2013).”
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Patterns of health lifestyle behaviours: findings from a representative sample of Israel
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What goes on in digital behaviour change interventions for weight loss maintenance targeting physical activity: A scoping review
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A Hybrid Web-Based and In-Person Self-Management Intervention Aimed at Preventing Acute to Chronic Pain Transition After Major Lower Extremity Trauma: Feasibility and Acceptability of iPACT-E-Trauma
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Optimizing smoking cessation guideline implementation using text-messages and summary-sheets: A mixed-method evaluation
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“Text-messages may also be more beneficial if tailored to individual HCPs in addition to HCP group, in line with results from research into eHealth and mHealth more generally.(59) Effective implementation strategies can lead to better implementation of SCC guidelines, such that more smokers receive high-quality care an…”
Result
Development and Testing of a Personalized Web-Based Diet and Physical Activity Intervention Based on Motivational Interviewing and the Self-Determination Theory: Protocol for the MyLifestyleCoach Randomized Controlled Trial
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Presenting patients with information on their oral health risk: the PREFER three-arm RCT and ethnography
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An Artificial Intelligence–Based App for Self-Management of Low Back and Neck Pain in Specialist Care: Process Evaluation From a Randomized Clinical Trial
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A Method to Deliver Automated and Tailored Intervention Content: 24-month Clinical Trial
Miller, H., Voils, C. I., Cronin, K. A., Jeanes, E., Hawley, J. S., Porter, L. S., Adler, R., Sharp, W., Pabich, S., Gavin, K. L., et al. (2022) · JMIR Formative Research · doi:10.2196/38262 · Cited by 8
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Effectiveness of Computer-Tailored Health Communication in Increasing Physical Activity in People With or at Risk of Long-Term Conditions: Systematic Review and Meta-Analysis
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Influential
Stage-Based Computer-Delivered Interventions to Increase Condom Use in Young Men
Carvalho, T., Alvarez, M., Pereira, C. R., & Schwarzer, R. (2016) · International Journal of Sexual Health · doi:10.1080/19317611.2016.1158764 · Cited by 8
“…health behavior change have been delivered via the Internet, and meta-analyses have shown that Internet-based interventions have positive effects on behaviors such as physical activity, healthy eating, and smoking cessation (e.g., Lustria et al., 2013; Webb, Joseph, Yardley, & Michie, 2010).”
Background
12 Years of Self-tracking for Promoting Physical Activity from a User Diversity Perspective: Taking Stock & Thinking Ahead
Yfantidou, S., Sermpezis, P., & Vakali, A. I. (2022) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/3511047.3538029 · Cited by 12
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Mobile Mental Health Applications for American Indian and Alaska Native Communities: Review and Recommendations
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“Tailoring health behavior change interventions based on the specific needs of the intended group may also improve outcomes; one meta-analysis found that tailored web-based programs were more effective than nontailored web-based programs, as measured by behavioral outcomes (Lustria et al., 2013).”
What is needed for improved uptake and adoption of digital aftercare programs by cancer survivors: a mixed methods study applying the COM-B model
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“For example, a meta-analysis by Lustria et al. (2013) demonstrated the effectiveness of tailored web-based approaches to health interventions [72].”
Clarifying the Concepts of Personalization and Tailoring of eHealth Technologies: Multimethod Qualitative Study
ten Klooster, I., Kip, H., Beyer, S. L., van Gemert‐Pijnen, J. E. W. C., & Kelders, S. M. (2024) · Journal of Medical Internet Research · doi:10.2196/50497 · Cited by 7
Co-Design of a Depression Self-Management Tool for Adolescent and Young Adult Cancer Survivors: User-Centered Design Approach
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Efficacy of a Web-Based Tailored Intervention to Reduce Cannabis Use Among Young People Attending Adult Education Centers in Quebec
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“15 In this regard, the systematic review by Lustria et al. 16 supported the notion that Web-delivered interventions made it easier to implement tailored programs across wider populations and thus increased access to the benefits of tailoring in spite of geographical and temporal barriers.”
Staff Perceptions of Preimplementation Barriers and Facilitators to a Mobile Health Antiretroviral Therapy Adherence Counseling Intervention in South Africa: Qualitative Study
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Self-Reported Behavior Change and Predictors of Engagement With a Multidomain Brain Health Intervention for Midlife and Older Adults: A Pilot Clinical Trial
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“In addition to its automated yet personalized nature (de Vries & Brug, 1999), several advantages are associated with computer-tailoring (Lustria et al., 2013).”
Pairing Facts with Imagined Consequences Improves Pandemic-Related Risk PerceptionPreprint
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“Meta-analyses also high-light the persuasive efficacy of message tailoring (Krebs et al., 2010; Lustria et al., 2013; Noar et al., 2007).”
How influencers motivate inactive adolescents to be more physically active: a mixed methods study
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“This effect size indicates that the implementation of these interventions can have a signi ﬁ cant impact on public health when widely adopted [64,72,73].”
BackgroundResultInfluential
The effects of a web-based 24-hour movement behavior lifestyle education program on mental health and psychological well-being in parents of children with autism spectrum disorder: A randomized controlled trial
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“These findings build on those of Lustria et al [54], who pointed out that presenting general health information without considering individual needs or personal relevance may substantially limit the extent of health behavior change.”
An Adaptive, Algorithm-based Text Message Intervention to Promote Health Behavior Adherence in Type 2 Diabetes: Treatment Development and Proof-of-Concept Trial
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Exploring the Interplay Between Message Format, Need for Cognition and Personal Relevance on Processing Messages About Physical Activity: a Two-Arm Randomized Experimental Trial
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Feasibility of a Theory-Based, Online Tailored Message Program to Motivate Healthier Behaviors in College Women
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“As online interventions in young adults, incorporating tailoring health information into an internet-based program could improve interest, increase accessibility, reduce participant burden, and offer support/feedback [25,30,35,36].”
Background
Content and quality of physical activity ontologies: a systematic review
Braun, M., Carlier, S., Backere, F. D., Paepe, A. L. D., Velde, M. V. D., Dyck, D. V., Marques, M. M., Turck, F. D., & Crombez, G. (2023) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-023-01428-y · Cited by 6
“Context-aware and personalized interventions to promote PA are at their early stages, but have already been found to be more effective for both behavior [14, 15] and health outcomes [16] than their non-personalized counterparts.”
Background
Tailoring interventions to suit self-reported format preference does not decrease vaccine hesitancy
Mäki, K. O., Karlsson, L. C., Kaakinen, J. K., Schmid, P., Lewandowsky, S., Antfolk, J., & Soveri, A. (2023) · PLoS ONE · doi:10.1371/journal.pone.0283030 · Cited by 7
Effectiveness of Human-Supported and Self-Help eHealth Lifestyle Interventions for Patients With Cardiometabolic Risk Factors: A Meta-Analysis
Rodrigues, T. C., Breeman, L. D., Kinik, A., Reijnders, T., Dusseldorp, E., Janssen, V. R., Kraaijenhagen, R. A., Atsma, D. E., & Evers, A. W. M. (2023) · Psychosomatic Medicine · doi:10.1097/psy.0000000000001242 · Cited by 7
“Instead, our results are more in line with studies that indicated that there is no difference in the improvement of cardiometabolic risk factors between human-supported and self-help eHealth interventions (17,19), or blended and remotely supported eHealth interventions (18).”
Result

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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