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This study targets two major risk factors for cancer; is designed to treat the behaviors on a population basis, using proactive recruitment strategies; intervenes on multiple behaviors simultaneously, thereby producing greater impacts for cancer prevention; utilizes one of the most promising approaches to low cost population based interventions for health-related behavior change, namely the internet; and develops and tests a promising new approach to increasing the utilization and effectiveness of internet-based interventions, relational agents. The primary aims are: (1) To develop and assess the effectiveness of a tailored internet intervention on a national sample; (2) To develop and assess the effectiveness of the internet intervention enhanced by a relational agent; and (3) To determine if the intervention with the relational agent can outperform the regular tailored internet intervention.
The overarching goal of this research project is to revise and enhance a multimedia computer-based multiple risk factor intervention for cancer prevention, using the internet to reach a general population. Two innovative, individualized, easily disseminated, low-cost, and interactive interventions, both for multiple behaviors (sun protection and exercise adoption), will be developed and evaluated in comparison to a control condition. The first intervention involves adapting our effective multimedia expert system interventions to the internet environment. The second intervention builds on the first with the additional inclusion of a Relational Agent, a recently developed computer-based approach to establishing a personal relationship typically missing on internet sites. Both systems will employ the same theoretical model of behavior change, the Transtheoretical Model, as the deep knowledge, and all systems will employ empirically based decision rules. The design is a 3 Group (Control, Internet, Internet plus Relational Agent) x 3 Occasions (0, 12, 24 • Months) with intervention occurring during the first 12 months. A representative national sample of 1639 individuals at risk for both behaviors will be recruited. The primary aims are: (1) To develop and assess the effectiveness of a tailored internet intervention on a national sample; (2) To develop and assess the effectiveness of the internet intervention enhanced by a relational agent; and (3) To determine if the intervention with the relational agent can outperform the regular tailored internet intervention. The secondary aims are: (1) To determine if the two interventions are differentially effective with each behavior and with different subgroups, and (2) To determine if the relational agent intervention is utilized more often for increasing exercise than for sun protection. This study targets two major risk factors for cancer; is designed to treat the behaviors on a population basis, using proactive recruitment strategies; intervenes on multiple behaviors simultaneously, thereby producing greater impacts for cancer prevention; utilizes one of the most promising approaches to low cost population based interventions for health-related behavior change, namely the internet; and develops and tests a promising new approach to increasing the utilization and effectiveness of internet-based interventions, relational agents.
Age
18 - 75 years
Sex
ALL
Healthy Volunteers
Yes
University of Rhode Island
Kingston, Rhode Island, United States
Start Date
April 1, 2009
Primary Completion Date
May 1, 2013
Completion Date
May 1, 2013
Last Updated
May 12, 2016
1,364
ACTUAL participants
Tailored Internet Communication with Relational Agent
OTHER
Tailored Internet Communications
OTHER
Lead Sponsor
University of Rhode Island
Collaborators
NCT05702398
NCT06963736
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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