The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.
A Meta-Analysis of Web-Delivered Tailored Health Behavior Change Interventions
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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In the citing paper
“Tailoring can have a positive impact on intervention outcomes and engagement, but this varies between studies and contexts.31,52”
From Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions (2016) · cites this paper as [52]
In the citing paper
“Compared to more traditional knowledge transfer methods in digital health (eg, tailored modules), the conversational methods in virtual assistance may be perceived as more personally relevant and humanistic, which is critical given that perceived relevance and the inclusion of social support are associated with increased effect sizes in digital behavior change interventions [7,8].”
From A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study (2020) · cites this paper as [8]
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 [30]
In the citing paper
“A meta-analysis on tailored Web-based interventions in general found that expert input does not necessarily mean more efficacy [30].”
From Tailored web-based interventions for pain: Systematic review and meta-analysis (2017) · cites this paper as [30]
In the citing paper
“Hence, it has been shown that Web-based tailored interventions that are preventive in nature and targeting a general population, not a specific condition, were more successful [30].”
From Tailored web-based interventions for pain: Systematic review and meta-analysis (2017) · cites this paper as [30]
In the citing paper
“It is generally accepted that user engagement with DBCI is a precursor to improved health outcomes.”
From Understanding Health Behavior Technology Engagement: Pathway to Measuring Digital Behavior Change Interventions (2019) · cites this paper as [5]
In the citing paper
“Growing evidence supports that interaction with DBCI and adherence to intervention features improve the likelihood of reaching desired health outcomes [5].”
From Understanding Health Behavior Technology Engagement: Pathway to Measuring Digital Behavior Change Interventions (2019) · cites this paper as [5]
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Items 201–300 of 689
Gesser‐Edelsburg, A., Shahbari, N. A. E., Cohen, R., Halavi, A. M., Hijazi, R., Paz-Yaakobovitch, G., & Birman, Y. (2019) · Journal of Medical Internet Research · doi:10.2196/14105 · Cited by 31
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Ghalibaf, A. K., Nazari, E., Gholian‐Aval, M., & Tara, M. (2019) · BMJ Open · doi:10.1136/bmjopen-2017-021022 · Cited by 25
Overcoming Challenges to Build Strong Physical Activity Promotion Messages
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“Two meta-analyses compared tailored health behavior change messaging interventions to nontailored or control interventions.(42,43) One meta-analysis examined tailored print messages and the other examined Web-based strategies.”
BackgroundBaumann, H., Heuel, L., Bischoff, L. L., & Wollesen, B. (2023) · Sensors · doi:10.3390/s23042322 · Cited by 26
“Individual tailoring [80,81] or gamification could be approaches to address this problem.”
BackgroundLee, J. Y., Park, H., & Min, Y. H. (2015) · Asian Nursing Research · doi:10.1016/j.anr.2015.05.001 · Cited by 24
Self-citationZhao, D., Lustria, M. L. A., & Hendrickse, J. (2017) · Patient Education and Counseling · doi:10.1016/j.pec.2017.01.004 · Cited by 27
Self-citationLin, T., Hwang, L., & Lai, Y. (2017) · Health Information & Libraries Journal · doi:10.1111/hir.12181 · Cited by 23
Elison, S., Jones, A., Ward, J., Davies, G., & Dugdale, S. (2017) · Addictive Behaviors · doi:10.1016/j.addbeh.2017.05.028 · Cited by 25
“Evaluation via RCT may impose methodological limitations when content is tailored to the individual (Krebs et al., 2010; Lustria et al., 2013; Noar et al., 2007), as within-group variation in personalised intervention strategies implies that assumptions of within-group homogeneity may not be met…”
BackgroundAltendorf, M. B., Hoving, C., van Weert, J. C. M., & Smit, E. S. (2020) · Journal of Medical Internet Research · doi:10.2196/17251 · Cited by 27
“Behavioral support through online computer content-tailored (CCT) smoking cessation interventions can be effective in improving quit rates among smokers, substantially exceeding the success rates of more static interventions such as generic online smoking cessation information [2].”
Stephenson, J., Bailey, J., Gubijev, A., D’Souza, P., Oliver, S. R., BLANDFORD, A. E., Hunter, R. M., Shawe, J., Rait, G., Brima, N., et al. (2020) · Digital Health · doi:10.1177/2055207620936435 · Cited by 23
MAP: A mnemonic for mapping BCTs to three routes to behaviour change
Dixon, D. L., & Johnston, M. (2020) · British Journal of Health Psychology · doi:10.1111/bjhp.12458 · Cited by 23
Qin, Y., Wang, X., & Namkoong, K. (2021) · Mobile Media & Communication · doi:10.1177/20501579211054929 · Cited by 22
“Because Cohen’s d has been shown to be upwardly biased with small sample sizes (Hedges & Olkin, 1985), the statistical correction for this bias was applied (Lipsey & Wilson, 2001; Lustria et al., 2013).”
BackgroundPot, M., Ruiter, R. A. C., Paulussen, T. G., Heuvelink, A., de Melker, H. E., van Vliet, H., & van Keulen, H. M. (2018) · Frontiers in Public Health · doi:10.3389/fpubh.2018.00226 · Cited by 23
Meyer, B., Utter, G.-L., & Hillman, C. (2021) · JMIR Mental Health · doi:10.2196/31173 · Cited by 22
“Multiple studies suggest that individually tailored digital interventions tend to be more effective than their nontailored counterparts, possibly because tailoring increases perceived personal relevance, which then leads to more elaborated cognitive processing and greater therapeutic impact [48-50].”
Torkamaan, H., & Ziegler, J. (2021) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3460418.3479330 · Cited by 25
“Despite their advantages in understanding, modeling, and explaining individuals’ behavior and standardizing the behavior change process, behavior change theories are still overlooked or unreported in a large share of the related studies [8, 15, 20].”
BackgroundPatient-Centered Personal Health Record and Portal Implementation Toolkit for Ambulatory Clinics
Nahm, E., Diblasi, C., Gonzales, E., Silver, K. D., Zhu, S., Sagherian, K., & Kongs, K. (2016) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000000318 · Cited by 21
Zieve, G. G., Richardson, L. P., Katzman, K., Spielvogle, H. N., Whitehouse, S., & McCarty, C. A. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7474 · Cited by 22
“Taken together, adolescents’ interest in highly personalized content lends additional support to increasing evidence that Web-based interventions incorporating tailored information yield stronger effects than generic interventions [52].”
BackgroundJoyal‐Desmarais, K., Rothman, A. J., & Snyder, M. (2019) · European Journal of Social Psychology · doi:10.1002/ejsp.2645 · Cited by 22
Jean‐Louis, G., Robbins, R., Williams, N. J., Allegrante, J. P., Rapoport, D. M., COHALL, A. T., & Ogedegbe, G. G. (2020) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.8510 · Cited by 22
“It is worth noting that previous studies have shown mixed results regarding effects of behavioral interventions using these scales.(52) These instruments were not developed and validated using individuals from diverse racial and ethnic samples,(34) raising some doubt as to their usefulness as robust measures of OSA kn…”
Finlay, A., Evans, H. E. L., Vincent, A. D., Wittert, G., Vandelanotte, C., & Short, C. E. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17217920 · Cited by 23
“Computer tailoring is a feasible, acceptable and e ffi cacious method to deliver personalised and iterative behaviour change support en masse [8,9] and has been used in an oncology setting in recent years [10–13].”
MethodPerry, L. M., Sartor, O. A., Malhotra, S., Alonzi, S. P., Kim, S., Voss, H. M., Rogers, J. L., Robinson, W., Harris, K. M., Shank, J., et al. (2021) · Journal of Pain and Symptom Management · doi:10.1016/j.jpainsymman.2021.03.027 · Cited by 22
Sinclair, A. H., Stanley, M. L., Hakimi, S., Cabeza, R. E. L., Adcock, R. A., & Samanez-Larkin, G. R. (2021) · Nature Aging · doi:10.1038/s43587-021-00095-7 · Cited by 21
Personalization in Digital Psychological Interventions for Young Adults
Jahedi, F., Henman, P. W. F., & Ryan, J. C. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2158261 · Cited by 24
“Personalization has been shown to reduce users ’ cognitive load, increase persuasion (Dijkstra, 2005; Hawkins et al., 2008) and enhance user satisfaction, which can improve the effectiveness of tailored versus non-tailored health behavior interventions (Lustria et al., 2013; Thakkar et al., 2016).”
BackgroundMistry, C. D., Sweet, S. N., Rhodes, R. E., & Latimer‐Cheung, A. E. (2015) · Psychology and Health · doi:10.1080/08870446.2014.997731 · Cited by 24
“Although our findings do not support previous research on the benefits of message tailoring (Lustria et al., 2013), there are several potential explanations as to why.”
BackgroundResultInfluentialAn analysis of health promotion materials for Dutch truck drivers: Off target and too complex?
Boeijinga, A., Hoeken, H., & Sanders, J. (2017) · Work · doi:10.3233/wor-172503 · Cited by 21
Riis, A., Hjelmager, D. M., Vinther, L. D., Rathleff, M. S., Hartvigsen, J., & Jensen, M. B. (2018) · JMIR Rehabilitation and Assistive Technologies · doi:10.2196/rehab.8841 · Cited by 21
“A personalized approach may address the individual biologic, physiologic, and social factors that are particularly important for the individual patient by addressing the different needs among patients and supporting self-care, which may have long-term effects [14,15].”
BackgroundEvans, H. E. L., Forbes, C. C., Galvao, D. A., Vandelanotte, C., Newton, R. U., Wittert, G., Chambers, S. K., Vincent, A. D., Kichenadasse, G., Brook, N. R., et al. (2021) · Pilot and Feasibility Studies · doi:10.1186/s40814-020-00763-2 · Cited by 21
Pancer, M., Manganaro, M., Pace, I., Marion, P., Gagnon, D. H., Laramée, M.-T., Messier, F., Amari, F., & Ahmed, S. (2019) · JMIR Formative Research · doi:10.2196/12507 · Cited by 20
“Our results align with the literature, which has found that multimode tailored interventions that incorporate video, audio, discussion forums, and chat enhance interactivity, skills, and knowledge building, thus positively influencing patient engagement and health-related outcomes [27,35,53,54].”
ResultMobile application for couple relationships: Results of a pilot effectiveness study
Troitskaya, O., & Batkhina, A. A. (2021) · Family Process · doi:10.1111/famp.12733 · Cited by 20
Ownby, R. L., Waldrop‐Valverde, D., Davenport, R., Simonson, M. R., Caballero, J., Purcell, D. J., Purcell, D. J., Ayala, V., González, J., Patel, N., et al. (2024) · Journal of Ageing and Longevity · doi:10.3390/jal4020005 · Cited by 20
“A possible solution to the problem of giving patients the information they want and need in a form they can use has been the development of computer-based interventions to automate message tailoring [28,29].”
Short, C. E., Rebar, A. L., & Vandelanotte, C. (2015) · BMC Medical Research Methodology · doi:10.1186/s12874-015-0063-5 · Cited by 20
“Due to this, and the growing popularity of the internet, the last decade has seen a substantial increase in the number of online behaviour change interventions developed and evaluated [3, 4].”
BackgroundPlow, M. A., Mangal, S., Geither, K., & Golding, M. (2016) · Frontiers in Public Health · doi:10.3389/fpubh.2016.00165 · Cited by 20
Rouffiac, A.-E., Whiteley, L., Brown, L. K., Mena, L. A., Craker, L. K., Healy, M., & Haubrick, K. K. (2019) · JMIR Research Protocols · doi:10.2196/15781 · Cited by 20
“Meta-analyses have shown that mobile interventions are most effective when they are interactive and tailored [39-41].”
Tailored Communications for Health-Related Decision-Making and Behavior Change
Noar, S. M., & Harrington, N. G. (2016) · Springer eBooks · doi:10.1007/978-1-4939-3486-7_18 · Cited by 20
Self-citationSerio, C. D., Hessing, J., Reed, B., Hess, C., & Reis, J. (2015) · JMIR Research Protocols · doi:10.2196/resprot.3392 · Cited by 19
“The calculated effect sizes ranged from 0.05 to 0.15, bracketing the overall similar small effect size of 0.074 reported by Noar et al [30] for tailored print messages and the posttest effect of 0.14 reported for Web-delivered behavior change interventions [31].”
InfluentialBlack, N., Williams, A. J., Javornik, N., Scott, C., Johnston, M., Eisma, M. C., Michie, S., Hartmann‐Boyce, J., West, R., Viechtbauer, W., et al. (2018) · Annals of Behavioral Medicine · doi:10.1093/abm/kay068 · Cited by 21
“Indeed, results from meta-analyses support these claims (14-17).”
Henderson, V., Madrigal, J. M., Kendall, L., Parekh, P., Newsome, J., Chukwudozie, I. B., Comer-HaGans, D., Coffey, V., Grumbach, G., Spencer, S., et al. (2022) · BMC Health Services Research · doi:10.1186/s12913-022-08193-x · Cited by 19
Wang, T., Ho, M., Tong, M. C. F., Chow, J. C.-H., Voss, J. G., & Lin, C. (2023) · Seminars in Oncology Nursing · doi:10.1016/j.soncn.2023.151473 · Cited by 19
Smit, E. S., Candel, M. J. J. M., Hoving, C., & de Vries, H. (2016) · Health Communication · doi:10.1080/10410236.2015.1049727 · Cited by 19
Effective Weight Loss for Children: A Meta‐analysis of Intervention Studies 2002–2015
Snethen, J., Broome, M. E., Treisman, P. E., Castro, E., & Kelber, S. T. (2016) · Worldviews on Evidence-Based Nursing · doi:10.1111/wvn.12156 · Cited by 19
Mandic, D., Bjegovic-Mikanovic, V. M., Vuković, D., Djikanović, B., Stamenković, Ž., & Lalic, N. M. (2020) · PeerJ · doi:10.7717/peerj.9495 · Cited by 21
“One meta-analysis confirmed that internet interventions could lead to significant improvement in health outcomes (Lustria et al., 2013).”
BackgroundUsing Visual Analogue Scales in eHealth: Non-Response Effects in a Lifestyle Intervention
Kuhlmann, T., Reips, U., Wienert, J., & Lippke, S. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5271 · Cited by 21
Guttman, N., Lev, E., Segev, E., Ayecheh, S., Ziv, L., Gadamo, F., Dayan, N., & Yavetz, G. (2017) · New Media & Society · doi:10.1177/1461444817712937 · Cited by 20
“These elements also represent a normative issue because the culture-centered approach is based on social equity concerns and focuses on people’s needs from their perspective (Dutta, 2007; Lustria et al., 2013).”
BackgroundEnhancing the Impact of Mobile Health Literacy Interventions to Reduce Health DisparitiesPreprint
Ownby, R. L., Acevedo, A., & Waldrop‐Valverde, D. (2019) · doi:10.31219/osf.io/5j2m6 · Cited by 19
Heckman, C. J., Darlow, S. D., Munshi, T., Caruso, C., Ritterband, L. M., Raivitch, S., Fleisher, L. G., & Manne, S. L. (2015) · Internet Interventions · doi:10.1016/j.invent.2015.04.003 · Cited by 18
“…of effective health behavior interventions (Bewick et al., 2008; Bock, Graham, Whiteley, & Stoddard, 2008; Davies, Spence, Vandelanotte, Caperchione, & Mummery, 2012; Griffiths, Lindenmeyer, Powell, Lowe, & Thorogood, 2006; Lustria et al., 2013; van den Berg, Schoones, & Vliet Vlieland, 2007).”
(2023) · doi:10.2196/47350 · Cited by 18
“Health behavior change theory posits that new health behaviors emerge when people achieve both knowledge and self-efficacy to implement the suggested knowledge [88,89].”
Friederichs, S. A. H., Bolman, C. A. W., Oenema, A., Verboon, P., & Lechner, L. (2015) · Internet Interventions · doi:10.1016/j.invent.2015.11.003 · Cited by 21
“Because the interventionmaterials are provided via the internet, these programs can be used to reach large numbers of inactive individuals at relatively low costs (Lustria et al., 2013).”
BackgroundOptimising eHealth tools for older patients: Collaborative redesign of a hospital website
Nguyen, M. H., Bol, N., van Weert, J. C. M., Loos, E. F., Tytgat, K. M. A. J., Geijsen, D. E., Drenth, E., Janse, M., & Smets, E. M. A. (2018) · European Journal of Cancer Care · doi:10.1111/ecc.12882 · Cited by 18
“Previous work by our group (Bol, 2015; Bol, Scholz et al., 2013) and others (Lustria et al., 2013; Smit, Linn, & van Weert, 2015) has indicated a need for tailored information provision via different modalities, particularly among older cancer patients.”
Martorella, G., Gélinas, C., & Purden, M. (2014) · JMIR Research Protocols · doi:10.2196/resprot.3175 · Cited by 18
“Computer-tailored and Web-based interventions have been recognized for their efficacy on information integration and behavioral change [11-14].”
Influentialde Ruijter, D., Smit, E. S., de Vries, H., & Hoving, C. (2016) · Contemporary Clinical Trials · doi:10.1016/j.cct.2016.04.007 · Cited by 18
“CT programs have proven to be effective in changing various health behaviors and their determinants [21–24].”
BackgroundO’Keefe, D. J. (2023) · Communication Methods and Measures · doi:10.1080/19312458.2023.2214949 · Cited by 17
“( For other examples of this practice, see Head et al., 2013; Huang & Shen, 2016; Lustria et al., 2013; Noar et al., 2007, 2009, 2010; Rhodes et al., 2020; Vereen et al., 2023; Yang et al., 2020) But the difference in designs – the difference in comparison conditions – is not appropriately treated…”
BackgroundRosenkranz, R. R., Duncan, M. J., Caperchione, C. M., Kolt, G. S., Vandelanotte, C., Maeder, A. J., Savage, T. N., & Mummery, W. K. (2015) · BMC Public Health · doi:10.1186/s12889-015-2539-y · Cited by 17
“Studies have shown that such targeted approaches are effective [13], cost-effective [14, 15] and often lead to greater improvements in health outcomes compared to non-targeted or non-tailored approaches [13, 16].”
ResultBrumbach, B. H., Birmingham, W. C., Boonyasiriwat, W., Walters, S. T., & Kinney, A. Y. (2017) · Annals of Behavioral Medicine · doi:10.1007/s12160-017-9893-1 · Cited by 17
Boekhout, J., Peels, D., Berendsen, B., Bolman, C., & Lechner, L. (2019) · Journal of Medical Internet Research · doi:10.2196/13416 · Cited by 18
“It could be that the lower use of internet for health-enhancing interventions among people with a lower educational attainment [52,56-58] is outweighed by a general increase in availability and use of internet by older adults [54].”
Dupont, C., Aegerter, P., Foucaut, A.-M., Reyre, A., Lhuissier, F., Bourgain, M., Chabbert‐Buffet, N., Cédrin‐Durnerin, I., Selleret, L., Cosson, E., et al. (2020) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-020-2855-9 · Cited by 17
“for a variety of health behaviours [53].”
Telehealth as a Panacea Amidst Global Pandemic (COVID-19) in Africa
Alhassan, G. N., Öztürk, İ., Adedoyin, F. F., & Bekun, F. V. (2021) · Düzce Tıp Fakültesi Dergisi · doi:10.18678/dtfd.898373 · Cited by 16
“(33) carried out an analysis with metaanalysis technic to compare the impact of tailored and nontailored web-based interventions on health behavioral change, the analyzed result indicated a significant effectiveness in the tailored intervention compared with the control condition while Noar et al.”
MethodRuskin, D., Campbell, L., Stinson, J., & Ahola Kohut, S. (2018) · Children · doi:10.3390/children5090121 · Cited by 16
“Indeed, there is a growing body of research showing that tailoring an intervention message to an individual’s specific circumstance, including aspects of their health condition, can result in better outcomes [48].”
BackgroundLi, C. (2019) · Psychology and Marketing · doi:10.1002/mar.21272 · Cited by 16
Cardol, C. K., van Middendorp, H., Dusseldorp, E., van der Boog, P. J. M., Hilbrands, L. B., Navis, G. J., Sijpkens, Y. W. J., Evers, A. W. M., van Dijk, S., & on behalf of the E-GOAL Study Group (2022) · Psychosomatic Medicine · doi:10.1097/psy.0000000000001163 · Cited by 20
“Next to incorporating treatment of psychological distress in self-management interventions, the importance of patient-tailoring is also increasingly being emphasized (15,16).”
Computer-Based Prevention and Intervention to Reduce Substance Use in Youth
Schinke, S. P., & Schwinn, T. M. (2017) · Current Addiction Reports · doi:10.1007/s40429-017-0171-x · Cited by 16
Mai, Y., & Soulakova, J. N. (2018) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2018.07.012 · Cited by 16
“These methods are evidence-based and cost-effective (Danielsson et al., 2014; Fiore et al., 2008; Graham et al., 2007; Hopkins et al., 2001; Lustria et al., 2013; Nash et al., 2015; Owen, 2000; Smit et al., 2012; Stead et al., 2007; U.S. Department of Health and Human Services, 2014; Whittaker et al., 2009; Zbikowski…”
MethodHow to use the Integrated-Change Model to design digital health programs
Cheung, K. L., Hors-Fraile, S., & de Vries, H. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-820077-3.00008-0 · Cited by 16
Montgomery, R. M., Boucher, E. M., Honomichl, R. D., Powell, T. A., Guyton, S. L., Bernecker, S. L., Stoeckl, S. E., & Parks, A. C. (2021) · JMIR Cardio · doi:10.2196/32351 · Cited by 19
“Tailored interventions have been shown to improve outcomes over and above nontailored ones [120], and thus, there is an opportunity to create and test an intervention that addresses the unique challenges and concerns of users with CVD risk factors.”
BackgroundCoumans, J. M. J., Bolman, C. A. W., Oenema, A., & Lechner, L. (2022) · Internet Interventions · doi:10.1016/j.invent.2022.100537 · Cited by 20
“So far, most of these CT interventions have been based on traditional health behavior theories, such as the transtheoretical model, the social cognitive theory, and the health belief model (Lustria et al., 2013).”
ResultAltendorf, M. B., Smit, E. S., Azrout, R., Hoving, C., & van Weert, J. C. M. (2020) · Psychology and Health · doi:10.1080/08870446.2020.1802457 · Cited by 15
Bouten, A., Haerens, L. L., Doren, N. V., Compernolle, S., & Cocker, K. A. D. (2023) · Teaching and Teacher Education · doi:10.1016/j.tate.2023.104307 · Cited by 21
A systematic review on eHealth technology personalization approaches
ten Klooster, I., Kip, H., van Gemert‐Pijnen, J. E. W. C., Crutzen, R., & Kelders, S. M. (2024) · iScience · doi:10.1016/j.isci.2024.110771 · Cited by 20
Berube, M., Gélinas, C., Feeley, N., Martorella, G., Côté, J., Laflamme, G. Y., Rouleau, D. M., & Choinière, M. (2019) · Pain Medicine · doi:10.1093/pm/pnz008 · Cited by 16
Engagement With Air Quality Information: Stated Versus Revealed Preferences
Delmas, M. A., & Kohli, A. (2019) · Organization & Environment · doi:10.1177/1086026619837690 · Cited by 15
“Therefore, personalized health-based messaging interventions tend to be more effective than general ones (Lustria et al., 2013; Noar, Benac, & Harris, 2007).”
BackgroundKouwenhoven-Pasmooij, T. A., Djikanović, B., Robroek, S. J., Helmhout, P. H., Alex Burdorf, A., & Hunink, M. G. M. (2015) · BMC Public Health · doi:10.1186/s12889-015-2059-9 · Cited by 16
“, specific risk factors), thereby facilitating wider access and encouraging self-care, and possibly reducing health-care costs and improving efficacy [75].”
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“Personally relevant and effective feedback can guide individuals to identify dietary changes to improve their health [17].”
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Hietbrink, E. A. G., Middelweerd, A., van Empelen, P., Preuhs, K., Konijnendijk, A., Nijeweme-d’Hollosy, W. O., Schrijver, L. K., Laverman, G. D., & Vollenbroek-Hutten, M. M. R. (2023) · JMIR Human Factors · doi:10.2196/40017 · Cited by 16
“Systematic reviews showed that tailored eHealth interventions are more effective in promoting healthy behaviors and user engagement than generic interventions [44,47,63,66-68].”
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“In one meta-analysis, researchers found that web-based tailored interventions clearly outplayed generic interventions with respect to health behavior change [75].”
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“These effects range from weight loss in obese men and women to moderating alcohol intake patterns, smoking cessation, and adjusting dietary patterns [1-4].”
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“Research has shown that tailored interventions, which adapt to an individual ’ s characteristics, preferences, and needs, are more effective in promoting behavior change compared to generic interventions 23 – 25 .”
van der Gaag, M., Heijmans, M., Ballester, M., Orrego, C., de Guzmán, E. N., Ninov, L., & Rademakers, J. J. D. J. M. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.842462 · Cited by 13
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Conceptual Modeling in Human Resource Management: A Design Research Approach
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“These include daytime sleepiness, impaired cognitive functioning, behaviour, and quality of life (Stores et al., 1998; Maganti et al., 2006; Owens and Mindell, 2011).”
BackgroundFundoiano-Hershcovitz, ., Bacher, D., Ritholz, M. D., Horwitz, D. L., Manejwala, O., & Goldstein, P. (2022) · Journal of Medical Internet Research · doi:10.2196/32923 · Cited by 14
“Health behavior change theory posits that new health behaviors emerge when people gain both knowledge and self-efficacy to implement said knowledge [58-60].”
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“Tailored approaches have been found to be effective across a variety of health interventions [34, 35].”
BackgroundTorkamaan, H., & Ziegler, J. (2022) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3490099.3511118 · Cited by 13
“, mobile devices [8, 32, 33, 37, 52, 55, 58] for behavior change.”
Technology obsolescence across the adult lifespan in a USA internet sample
Gray, N., & Charness, N. H. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.1005822 · Cited by 13
“Internet connected ICT devices can also help provide health interventions that are specifically tailored to individual needs in meaningful ways (19).”
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Donovan, E., Mahapatra, P. D., Green, T. C., Chiauzzi, E. J., McHugh, K., & Hemm, A. (2015) · Addiction Research & Theory · doi:10.3109/16066359.2015.1043625 · Cited by 13
“Computer interventions can also be tailored to the individual user; providing personalised information and feedback has been shown to change health-related behaviours more effectively than non-tailored interventions (Krebs et al., 2010; Lustria et al., 2013).”
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“In addition, a large body of literature has demonstrated the efficacy of webbased tailored messaging approaches to improve compliance with a number of other preventive health behaviors [22,23].”
BackgroundThe Usability of Diabetes MAP: A Web-delivered Intervention for Improving Medication Adherence
Nelson, L. A., Bethune, M., Lagotte, A. E., & Osborn, C. Y. (2016) · JMIR Human Factors · doi:10.2196/humanfactors.5177 · Cited by 13
“Web-delivered interventions have mixed effects on health behaviors [10-12] and varied effects on glycemic control [13,14].”
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“Some studies have shown mobile devices and use of mobile health (mHealth) technology for health education can sustain reductions in risk, improve health, maintain wellness, and continue the delivery of positive messages (Head, Noar, Iannarino, & Harrington, 2013; Lustria et al., 2013).”
BackgroundShort, C. E., James, E. L., Rebar, A. L., Duncan, M. J., Courneya, K. S., Plotnikoff, R. C., Crutzen, R., Bidargaddi, N. P., & Vandelanotte, C. (2017) · Supportive Care in Cancer · doi:10.1007/s00520-017-3786-5 · Cited by 13
“Previous research has shown that computer-tailored interventions are more effective than interventions providing generic information and advice, which is primarily due to the increased personal relevance of the information [24, 36].”
BackgroundValle, C. G., Queen, T. L., Martin, B. A., Ribisl, K. M., Mayer, D. K., & Tate, D. F. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.7613 · Cited by 13
“Web-based tailored interventions have demonstrated efficacy in promoting healthy behavior changes [3,4].”
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Neil, J. M., Parker, N. D., Strekalova, Y. A., Duke, K. A., George, T. J., & Krieger, J. L. R. (2022) · Health Education Research · doi:10.1093/her/cyac002 · Cited by 12
“These findings support previous literature on the benefits of tailored risk messages [5, 6, 11, 40, 41] and provide further insight into the theoretical mechanisms that underlie the efficacy of this approach.”
Brandl, L., Cabrita, M., Brodbeck, J., Heylen, D., & van Velsen, L. (2022) · Internet Interventions · doi:10.1016/j.invent.2022.100534 · Cited by 12
Metadata
- 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.
- 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
- 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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