The DOI matches its Crossref record; 210 of the 210 references it cites were found in a registry or an index.
A meta-analysis of computer-tailored interventions for health behavior change
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The effect sizes on behavior were however in line with findings of two meta-analyses on computer-delivered interventions (range between 0.13 and 0.22 (Krebs, Prochaska, & Rossi 2010); and range between 0.04 and 0.35 (Portnoy, Scott-Sheldon, Johnson, & Carey 2008)). Hence, serious games for the promotion of healthy lifestyles may be considered as effective as other computer-delivered interventions.”
From A meta-analysis of serious digital games for healthy lifestyle promotion (2014) · cites this paper as Krebs, Prochaska, & Rossi 2010
In the citing paper
“Similarly, in computer-tailored interventions, tailoring showed the strongest effects when based on both theoretical concepts (e.g. stages of change, decisional balance, attitudes) and user characteristics (Noar et al. 2007) and performed via dynamic tailoring, in which tailoring is continuously adjusted during the intervention (Krebs, Prochaska, & Rossi 2010).”
From A meta-analysis of serious digital games for healthy lifestyle promotion (2014) · cites this paper as Krebs, Prochaska, & Rossi 2010
In the citing paper
“Experts in health behavior change have shown that conveying health information without considering individual differences may inhibit behavior change [20-26].”
From Tailored web-based interventions for pain: Systematic review and meta-analysis (2017) · cites this paper as [20]
In the citing paper
“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 [20]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Items 201–210 of 210
Roy, S., & Chakrabortti, S. C. (2002) · PubMed · Cited by 28
Winett, R. A., Wagner, J. L., Moore, J. F., Walker, W. B., Hite, L. A., Leahy, M., Neubauer, T., Arbour, D., Walberg, J., Geller, E. S., et al. (1991) · Health Psychology · doi:10.1037//0278-6133.10.1.75 · Cited by 25
Challenges for Tailored Messaging in Health Education
Stellefson, M., Hanik, B., Chaney, B. H., & Chaney, D. J. (2008) · American Journal of Health Education · doi:10.1080/19325037.2008.10599054 · Cited by 23
Gilbert, H. M., Nazareth, I., Sutton, S. R., Morris, R. W., & Godfrey, C. (2008) · Trials · doi:10.1186/1745-6215-9-23 · Cited by 22
Schümann, A., John, U., Baumeister, S. E., Ulbricht, S., Rumpf, H., & Meyer, C. (2008) · Nicotine & Tobacco Research · doi:10.1080/14622200701825767 · Cited by 20
Teaching Brief Interventions for Smoking Cessation via an Interactive Computer-based Tutorial
Carpenter, K., Watson, J. M., Raffety, B. D., & Chabal, C. (2003) · Journal of Health Psychology · doi:10.1177/1359105303008001450 · Cited by 18
Levinson, A. H., Glasgow, R. E., Gaglio, B., Smith, T. L., Cahoon, J., & Marcus, A. C. (2007) · Health Education Research · doi:10.1093/her/cym046 · Cited by 18
Economic Analysis of Bilingual Interactive Multimedia Nutrition Education
Gould, S. M., & Anderson, J. E. (2002) · Journal of Nutrition Education and Behavior · doi:10.1016/s1499-4046(06)60106-1 · Cited by 14
Post-intervention effect of a computer tailored smoking cessation programme
Etter, J., & Perneger, T. V. (2004) · Journal of Epidemiology & Community Health · doi:10.1136/jech.2003.017103 · Cited by 13
Educator and Participant Perceptions and Cost Analysis of Stage-tailored Educational Telephone Calls
Brown-Esters, O. N., Boeckner, L. S., Hubert, M. L., Horacek, T. M., Kritsch, K. R., Oakland, M. J., Lohse, B., Greene, G. W., & Nitzke, S. A. (2008) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2007.05.005 · Cited by 7
Cited by
Sorted by citations
Evidence-based intervention in physical activity: lessons from around the world
Heath, G. W., Parra, D. C., Sarmiento, O. L., Andersen, L. B., Owen, N., Goenka, S., Montes, F., & Brownson, R. C. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60816-2 · Cited by 1,199
A meta-analysis of web-delivered tailored health behavior change interventions
Lustria, M. L. A., Noar, S. M., Cortese, J., Van Stee, S. K., Glueckauf, R. L., & Lee, J. (2013) · Journal of Health Communication · doi:10.1080/10810730.2013.768727 · Cited by 689
The promise of machine learning in predicting treatment outcomes in psychiatry
Chekroud, A. M., Bondar, J., Delgadillo, J., Doherty, G., Wasil, A., Fokkema, M., Cohen, Z., Belgrave, D., DeRubeis, R., Iniesta, R., et al. (2021) · World Psychiatry · doi:10.1002/wps.20882 · Cited by 531
Vandelanotte, C., Müller, A. M., Short, C. E., Hingle, M., Nathan, N., Williams, S. L., Lopez, M. L., Parekh, S., & Maher, C. A. (2016) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2015.12.006 · Cited by 396
A meta-analysis of serious digital games for healthy lifestyle promotion
DeSmet, A., Van Ryckeghem, D., Compernolle, S., Baranowski, T., Thompson, D., Crombez, G., Poels, K., Van Lippevelde, W., Bastiaensens, S., Van Cleemput, K., et al. (2014) · Preventive Medicine · doi:10.1016/j.ypmed.2014.08.026 · Cited by 414
Metadata
- Authors
- Krebs, P., Prochaska, J. O., & Rossi, J. S.
- Affiliations
- Memorial Sloan Kettering Cancer Center (US)
- University of Rhode Island (US)
- Corresponding author
- Krebs, Paul
- Venue
- Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 2010-09
- Volume
- 51
- Issue
- 3-4
- Pages
- 214-221
- ISSN
- 0091-7435 (ISSN-L)
- PMC
- PMC2939185
- OpenAlex
- W2020292934
- Cited by
- 854
- References
- 209
- Citations by year
- 2026: 27 · 2025: 43 · 2024: 29 · 2023: 42 · 2022: 58 · 2021: 61 · 2020: 54 · 2019: 65 · 2018: 74 · 2017: 71 · 2016: 64 · 2015: 64 · 2014: 70 · 2013: 53 · 2012: 53
- FWCI
- 4.46
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Preventive Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Journal of Media Literacy Education (submittedVersion, cc-by)
- Funders
- National Cancer Institute (P30CA008748, T32CA009461)
- Topics
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Communication › Media Influence and Health
- Keywords
- computer-tailored intervention, health behavior change, smoking cessation, physical activity, healthy eating, mammography screening, chronic disease prevention, health promotion, communication channels
- MeSH terms
- Decision Making, Computer-Assisted, Diet, Female, Health Promotion, Humans, Male, Mammography, Motor Activity, Patient Compliance, Health Behavior, Smoking Cessation, Reminder Systems
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
