OBJECTIVE: This systematic review explores how computer-tailored, behavioral interventions implemented and delivered via the Web have been operationalized in a variety of settings. METHODS: Computer-tailored, online behavioral intervention studies published from 1996 to early 2007 were selected and reviewed by two independent coders. RESULTS: Of 503 studies screened, 30 satisfied the selection criteria. The level of sophistication of these interventions varied from immediate risk/health assessment, tailored web content to full-blown customized health programs. The most common variables for tailoring content were health behaviors and stages of change. Message tailoring was achieved through a combination mechanisms including: feedback, personalization and adaptation. CONCLUSIONS: Tailored, self-guided health interventions delivered via the Web to date have involved a great diversity of features and formats. While some programs have been relatively brief and simple, others have involved complex, theory-based tailoring with iterative assessment, tools for development of self-regulatory skills, and various mechanisms for providing feedback. PRACTICE IMPLICATIONS: Our ability to fully optimize the use of computer-assisted tailoring will depend on the development of empirically based guidelines for tailoring across populations, health foci, health behaviors and situations. Further outcome research is needed to enhance our understanding of how and under what conditions computer-tailoring leads to positive health outcomes in online behavioral interventions.
OBJECTIVE: This systematic review explores how computer-tailored, behavioral interventions implemented and delivered via the Web have been operationalized in a variety of settings. METHODS: Computer-tailored, online behavioral intervention studies published from 1996 to early 2007 were selected and reviewed by two independent coders. RESULTS: Of 503 studies screened, 30 satisfied the selection criteria. The level of sophistication of these interventions varied from immediate risk/health assessment, tailored web content to full-blown customized health programs. The most common variables for tailoring content were health behaviors and stages of change. Message tailoring was achieved through a combination mechanisms including: feedback, personalization and adaptation. CONCLUSIONS: Tailored, self-guided health interventions delivered via the Web to date have involved a great diversity of features and formats. While some programs have been relatively brief and simple, others have involved complex, theory-based tailoring with iterative assessment, tools for development of self-regulatory skills, and various mechanisms for providing feedback. PRACTICE IMPLICATIONS: Our ability to fully optimize the use of computer-assisted tailoring will depend on the development of empirically based guidelines for tailoring across populations, health foci, health behaviors and situations. Further outcome research is needed to enhance our understanding of how and under what conditions computer-tailoring leads to positive health outcomes in online behavioral interventions.
Authors: S Trent Rosenbloom; Titus L Daniels; Thomas R Talbot; Taylor McClain; Robert Hennes; Shane Stenner; Sue Muse; Jim Jirjis; Gretchen Purcell Jackson Journal: J Am Med Inform Assoc Date: 2011-12-01 Impact factor: 4.497
Authors: Leslie R Schover; Andrea L Canada; Ying Yuan; Dawen Sui; Leah Neese; Rosell Jenkins; Michelle M Rhodes Journal: Cancer Date: 2011-09-26 Impact factor: 6.860
Authors: Richard Bränström; Nadine A Kasparian; Yu-mei Chang; Paul Affleck; Aad Tibben; Lisa G Aspinwall; Esther Azizi; Orna Baron-Epel; Linda Battistuzzi; Wilma Bergman; William Bruno; May Chan; Francisco Cuellar; Tadeusz Debniak; Dace Pjanova; Slawomir Ertmanski; Adina Figl; Melinda Gonzalez; Nicholas K Hayward; Marko Hocevar; Peter A Kanetsky; Sancy A Leachman; Olita Heisele; Jane Palmer; Barbara Peric; Susana Puig; Dirk Schadendorf; Nelleke A Gruis; Julia Newton-Bishop; Yvonne Brandberg Journal: Cancer Epidemiol Biomarkers Prev Date: 2010-07-19 Impact factor: 4.254
Authors: Faye S Taxman; Scott T Walters; Lincoln B Sloas; Jennifer Lerch; Mayra Rodriguez Journal: Contemp Clin Trials Date: 2015-05-22 Impact factor: 2.226
Authors: Linda Fleisher; Dominique G Ruggieri; Suzanne M Miller; Sharon Manne; Terrance Albrecht; Joanne Buzaglo; Michael A Collins; Michael Katz; Tyler G Kinzy; Tasnuva Liu; Cheri Manning; Ellen Specker Charap; Jennifer Millard; Dawn M Miller; David Poole; Stephanie Raivitch; Nancy Roach; Eric A Ross; Neal J Meropol Journal: Patient Educ Couns Date: 2014-04-21
Authors: Nancy R VanDeMark; Nicole R Burrell; Walter F Lamendola; Catherine A Hoich; Nicole P Berg; Eugene Medina Journal: Subst Abuse Treat Prev Policy Date: 2010-06-08