Chris McFarland H-571 National Cancer Institute (p.29-33) Communication Theory Media Effects Agenda Setting New Communication Technologies Health Behavior Theory for Public Health (p.188-193) Intro to Communication Theory The Reception-Yielding Model To answer the question: “How do the processes of communication encourage or discourage, behavior change?” (NCI, 2005) Ecological perspective should be represented. Multilevel strategies should be fostered. E S Values Environment ENVIRONMENT Situation E P Person S P P S E ValueSocialSelf- Com- Role Know BondsControl petence Models EvalMc Will + SkillNB Att SNB Self Exp SNB Att Efficacy Intentions Behavior Knowledge Environment Tailored Messages at Individual Level Targeted Messages at Group Level Media Advocacy at Policy Level Social Marketing at Community Level Mass Media Campaigns at Population Level 1. 2. Two big questions??? What are the factors that affect the possibility that a person will be exposed to a given message? How do media effects vary according to the amount of exposure to that message? Funding!! Repeated Exposure?? Planners Think About How We Learn: Immediate Learning Delayed Learning Social Diffusion Institutional Diffusion Generalized Learning Who's funding? Agenda setting involves setting: Media Agenda (what is covered) Policy Agenda (regulatory/legislative) Public Agenda (what people think about) E-health is at the crossroads of medical informatics, public health, and business. Brings together clinical and non-clinical sectors Health-oriented tools for both Online health information individual/populati Online support groups on Online collaborative communities Educational games Patient-provider e-mail contact HINTS program helps: Survey researchers Program planners Social scientists Better understand how different communication channels are being utilized by adults 18 and older. Tailored print communication Telephone delivered intervention Interactive games All of these have been found to be effective tools in disseminating health information to a general or targeted audience. Not all is perfect though… Unequal access to the internet. Literacy issues. How to help with this? Involve community members in planning ehealth interventions. Offer ongoing training and support for using new communication tools. Program Effect + Dissemination Program A Program B = Net Effect Health-professional-patient relations. Individuals’ adherence to clinical recommendations and regimens. The education of consumers on how to navigate the health care system. The construction of public health messages and campaigns. Consistency Availability Accuracy Reach Understandability Cultural Competence Repetition Evidence Based Balance Timeliness Reliability Simplified two-step model based off of MaGuire’s (1968) model. People pass through a series of cognitions when thinking about an issue called information processing. Presentation, attention, comprehension, yielding, retention, behavior. Individuals pass through these to be effectively persuaded. Attention Comprehensi on Reception Yielding Variables related to intended population may affect model. One such variable may be fear. Fear may diminish reception, but elevate likelihood of yielding. PSA based on fear Without a viable solution, fear may be counterproductive. High intelligence favors reception, but may work against yielding. Low intelligence favors yielding, but works against reception. What does this mean? A solid foundation of the target population is a must in message development. To answer the question: how can the health communication message best establish that yielding translates into a long lasting, and notable attitude that can prompt lasting adoption of health-protective behaviors. Thank you National Cancer Institute, (2005). Theory at a Human Services National Institutes of Health McGuire, W. (1968). Personality and attitude change: An information-processing model. Glance: A Guide For Health Promotion Practice. U.S. Department of Health and Psychological foundations of attitudes. (pp.171-196). New York, NY: Academic Press