Sharing Health Information and Influencing Behavioral Intentions: The Role of Health Literacy, Information Overload, and the Internet in the Diffusion of Healthy Heart Information

REFERENCES

• Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In I. Kuhl & J. Beckman (Eds.), Action-control: From cognitions to behavior (pp. 11–39). Heidelberg, Germany: Springer.
   Google Scholar
• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes,50, 179–211. doi:10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• American Heart Association. (2012). Getting healthy. Retrieved from http://www.heart.org/heartorg/gettinghealthy/gettinghealthy_ucm_001078_subhomepage.jsp
   Google Scholar
• An, S. (2007). Attitude toward direct-to-consumer advertising and drug inquiry intention: The moderating role of perceived knowledge. Journal of Health Communication,12, 567–580. doi:10.1080/10810730701508633
   PubMed Web of Science ®Google Scholar
• Arnold, C. L., Davis, T. C., Berkel, H. J., Jackson, R. H., Nandy, I., & London, S. (2001). Smoking status, reading level, and knowledge of tobacco effects among low-income pregnant women. Preventive Medicine,32, 313–320. doi:10.1006/pmed.2000.0815
   PubMed Web of Science ®Google Scholar
• Bagozzi, R P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science,16, 74–94. doi:10.1007/BF02723327
   Google Scholar
• Baiocchi-Wagner, E A., & Talley, A. (2013). The role of family communication in individual health attitudes and behaviors concerning diet and physical activity. Health Communication,28, 193–205. doi:10.1080/10410236.2012.674911
   PubMed Web of Science ®Google Scholar
• Baker, D. W. (2006). The meaning and the measure of health literacy. Journal of General Internal Medicine,21, 878–883. doi:10.1111/j.1525-1497.2006.00540.x
   PubMed Web of Science ®Google Scholar
• Baker, D. W., Gazmararian, J. A., Williams, M. V., Scott, T., Parker, R. M., Green, D., Ren, J., & Peel, J. (2002). Functional health literacy and the risk of hospital admission among Medicare managed care enrollees. American Journal of Public Health,92, 1278–1283. doi:10.2105/AJPH.92.8.1278
   PubMed Web of Science ®Google Scholar
• Baker, D. W., Parker, R. M., Williams, M. V., & Clark, W. S. (1998) Health literacy and the risk of hospital admission. Journal of General Internal Medicine,13, 791–798. doi:10.1046/j.1525-1497.1998.00242.x
   PubMed Web of Science ®Google Scholar
• Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology,51, 1173–1182. doi:10.1037/0022-3514.51.6.1173
   PubMed Web of Science ®Google Scholar
• Bawden, D. (2001). Information overload. Paper presented at the Library and Information Briefing Series, Library and Information Technology Centre, South Bank University, London, UK.
   Google Scholar
• Bawden, D., Holtham, C., & Courtney, N. (1999). Perspectives on information overload. ASLIB Proceedings,51, 249–255. doi:10.1108/EUM0000000006984
   Web of Science ®Google Scholar
• Bawden, D., & Robinson, L. (2009). The dark side of information: Overload, anxiety, and other paradoxes and pathologies. Journal of Information Science,35, 180–191. doi:10.1177/0165551508095781
   Web of Science ®Google Scholar
• Berkman, N. D., Davis, T. C., & McCormack, L. (2010). Health literacy: What is it? Journal of Health Communication,15(S2), 9–19. doi:10.1080/10810730.2010.499985
   PubMed Web of Science ®Google Scholar
• Berkman, N. D., Sheridan, S. L., Donahue, K. E., Halpern, D. J., & Crotty, K. (2011). Low health literacy and health outcomes: An updated systematic review. Annals of Internal Medicine,155, 97–107. doi:10.7326/0003-4819-155-2-201107190-00005
   PubMed Web of Science ®Google Scholar
• Bertrand, J. (2004). Diffusion of innovations and HIV/AIDS. Journal of Health Communication,9, 113–121. doi:10.1080/10810730490271575
   PubMed Web of Science ®Google Scholar
• Bodenheimer, T., Lorig, K., Holman, H., & Grumbach, K. (2002). Patient self-management of chronic disease in primary care. Journal of the American Medical Association,288, 2469–2475. doi:10.1001/jama.288.19.2469
   PubMed Web of Science ®Google Scholar
• Boster, F. J., Carpenter, C. J., Andrews, K. R., & Mongeau P. A. (2012). Employing interpersonal influence to promote multivitamin use. Health Communication,27, 399–407. doi:10.1080/10410236.2011.595771
   PubMed Web of Science ®Google Scholar
• Brashers, D. E., Goldsmith, D. J., & Hsieh, E. (2002). Information-seeking and avoiding in health contexts. Human Communication Research,28, 258–271. doi:10.1111/j.1468-2958.2002.tb00807.x
   Web of Science ®Google Scholar
• Bylund, C. L., & Duck, S. (2004). The everyday interplay between family relationships and family members’ health. Journal of Social and Personal Relationships,21, 5–7. doi:10.1177/0265407504039837.
   Web of Science ®Google Scholar
• Cline, R. J. W. (2011). Everyday interpersonal communication and health. In T. L. Thompson, R. Parrott, & J. F. Nussbaum (Eds.), The Routledge handbook of health communication (2nd ed., pp. 377–396). New York, NY: Routledge.
   Google Scholar
• Cotten, S., & Gupta, S. (2004). Characteristics of online and offline health information seekers and factors that discriminate between them. Social Science and Medicine,59, 1795–1806. doi:10.1016/j.socscimed.2004.02.020
   PubMed Web of Science ®Google Scholar
• Davis, T. C., Dolan, N. C., Ferreira, M. R., Tomori, C., Green, K. W., Sipler, A. M., & Bennett, C. L. (2001). The role of inadequate health literacy skills in colorectal cancer screening. Cancer Investigation,19, 193–200. doi:10.1081/CNV-100000154
   PubMed Web of Science ®Google Scholar
• Davis, T. C., Williams, M. V., Branch, W. T., & Green, K. W. (1999). Explaining illness to patients with limited literacy. In B. B. Whaley (Ed.), Explaining illness: Research, theory, and strategies (pp. 121–143). Mahwah, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Eppler, M. J., & Mengis, J. (2004). The concept of information overload: A review of literature from organization science, accounting, marketing, MIS, and related disciplines. The Information Society,20, 325–344. doi:10.1080/01972240490507974
   Web of Science ®Google Scholar
• Fishbein, M., & Azjen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
   Google Scholar
• Fox, S., & Duggan, M. (2013). Health online 2013. Pew Internet & American Life Project. Retrieved from http://www.pewinternet.org/˜/media//Files/Reports/PIP_HealthOnline.pdf
   Google Scholar
• Framton, K., & Vance, J. (2003). Solving a hidden problem: Low health literacy. Caring for the Ages,4, 23–24.
   Google Scholar
• Freberg, K. (2013). Using the theory of planned behavior to predict intention to comply with a food recall message. Health Communication,28, 359–365. doi:10.1080/10410236.2012.688657
   PubMed Web of Science ®Google Scholar
• Gansler, T., Henley, S. J., Stein, K., Nehl, E. J., Smigal, C., & Slaughter, E. (2005). Sociodemographic determinants of cancer treatment health literacy. Cancer,104, 653–660. doi:10.1002/cncr.21194
   PubMed Web of Science ®Google Scholar
• Gazmararian, J. A., Williams, M. V., Peel, J., & Baker, D. W. (2003). Health literacy and knowledge of chronic disease. Patient Education and Counseling,51, 267–275. doi:10.1016/S0738-3991(02)00239-2
   PubMed Web of Science ®Google Scholar
• Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs,76, 408–420. doi:10.1080/03637750903310360
   Web of Science ®Google Scholar
• Hesse, B. W., Nelson, D. E., Kreps, GL., Croyle, R. T., Arora, N. K., Rimer, B. K., & Viswanath, K. (2005). Trust and sources of health information: The impact of the internet and its implications for health care providers: Findings from the first Health Information National Trends Survey. Archives of Internal Medicine,165, 2618–2624. doi:10.1001/archinte.165.22.2618
   PubMed Web of Science ®Google Scholar
• Howard, D. H., Gazmararian, J., & Parker, R. M. (2005). The impact of low health literacy on the medical costs of Medicare managed care enrollees. American Journal of Medicine,118, 371–377. doi:10.1016/j.amjmed.2005.01.010
   PubMed Web of Science ®Google Scholar
• Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. doi:10.1080/10705519909540118
   Web of Science ®Google Scholar
• Institute of Medicine. (2004). Health literacy: A prescription to end confusion. Washington, DC: The National Academy Press. Retrieved from http://www.iom.edu/Reports/2004/Health-Literacy-A-Prescription-to-End-Confusion.aspx
   Google Scholar
• Jarvenpaa, S. L., & Staples, D. S. (2001). Exploring perceptions of organizational ownership of information and expertise. Journal of Management Information Systems,18, 151–183.
   Web of Science ®Google Scholar
• Kline, K. N. (2011a). Popular media and health: Images and effects. In T. L. Thompson, R. Parrott, & J. F. Nussbaum (Eds.), The Routledge handbook of health communication (2nd ed., pp. 252–267). New York, NY: Routledge.
   Google Scholar
• Kline, R. B. (2011b). Principles and practices of structural equation modeling. New York, NY: Guilford Press.
   Google Scholar
• Kontos, E. Z., Bennett, G. G., & Viswanath, K. (2007). Barriers and facilitators to home computer and internet use among urban novice computer users of low socioeconomic position. Journal of Medical Internet Research,9, e31. doi:10.2196/jmir.9.4.e31
   PubMed Web of Science ®Google Scholar
• Lee, B.-K., & Lee, W.-N. (2004). The effect of information overload on consumer choice quality in an on-line environment. Psychology & Marketing,21, 159–183. doi:10.1002/mar.20000
   Web of Science ®Google Scholar
• Lewis, L. (1994). A challenge for health education: The enactment problem and a communication-related solution. Health Communication,6, 205–224. doi:10.1207/s15327027hc0603_3
   Google Scholar
• Longo, D. R., Schubert, S. L., Wright, B. A., LeMaster, J., Williams, C. D., & Clore, J. N. (2010). Health information seeking, receipt, and use in diabetes self-management. Retrieved from http://www.annfammed.org
   Google Scholar
• Lorence, D., & Park, H. (2007). Study of education disparities and health information seeking behavior. CyberPsychology, Behavior, and Social Networking,10, 149–151. doi:10.1089/cpb.2006.9977
   Web of Science ®Google Scholar
• Lorig, K. R., & Holman, H. (2003). Self-management education: History, definition, outcomes, and mechanisms. Annals of Behavioral Medicine,26, 1–7. doi:10.1207/S15324796ABM2601_01
   PubMed Web of Science ®Google Scholar
• Mackert, M., Champlin, S., Pasch, K., & Weiss, B. (2013). Understanding health literacy measurement through eye tracking. Journal of Health Communication,18, 185–196. doi:10.1080/10810730.2013.825666
   PubMed Web of Science ®Google Scholar
• Mackert, M., Love, B., & Whitten, P. (2009). Patient education on mobile devices: An e-health intervention for low health literate audiences. Journal of Information Science,35, 82–93. doi:10.1177/0165551508092258
   Web of Science ®Google Scholar
• MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004). Confidence limits for the indirect effect: Distribution of the product and resampling methods. Multivariate Behavioral Research,39, 99–128. doi:10.1207/s15327906mbr3901_4
   PubMed Web of Science ®Google Scholar
• Marks, R., Allegrante, J. P., & Lorig, K. (2005). A review and synthesis of research evidence for self-efficacy-enhancing interventions for reducing chronic disability: Implications for health education practice (Part II). Health Promotion Practices,6, 148–156. doi:10.1177/1524839904266792
   PubMedGoogle Scholar
• Mayer, G. G., & Villaire, M. (2004). Low health literacy and its effects on patient care. Journal of Nursing Administration,34, 440–442. doi:10.1097/00005110-200410000-00002
   PubMed Web of Science ®Google Scholar
• Moorman, C. & Matulich, E. (1993). A model of consumers’ preventive health behaviors: The role of health motivation and health ability. Journal of Consumer Research,20, 208–228. doi:10.1086/209344
   Web of Science ®Google Scholar
• Navarro, F. H., & Wilkins, S. T. (2001). A new perspective on consumer health Web use: Valuegraphic profiles of health information seekers. Managed Care Quarterly,9, 35–43.
   PubMedGoogle Scholar
• Nielsen-Bohlman, L., Panzer, A., & Kindig, D. (Eds.). (2004). Health literacy: A prescription to end confusion. Washington, DC: National Academy of Sciences.
   Google Scholar
• Paasche-Orlow, M. K., & Wolf, M. S. (2007). The causal pathways linking health literacy to health outcomes. American Journal of Health Behavior,31, S19–S26. doi:10.5993/AJHB.31.s1.4
   PubMed Web of Science ®Google Scholar
• Pecchioni, L. L., & Sparks, L. (2007) Health information sources of individuals with cancer and their family members. Health Communication,21, 143–151. doi:10.1080/10410230701307162
   PubMed Web of Science ®Google Scholar
• Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods,40, 879–891. doi:10.3758/BRM.40.3.879
   PubMed Web of Science ®Google Scholar
• Radecki, C. M., & Jaccard, J. (1995). Perceptions of knowledge, actual knowledge, and information search behavior. Journal of Experimental Social Psychology,31, 107–138. doi:10.1006/jesp.1995.1006
   Web of Science ®Google Scholar
• Rioux, K. S. (2005). Information acquiring-and-sharing. In K. E. Fisher, S. Erdelez, & L. Mckechnie (Eds.), Theories of information behavior (pp. 169–173). Medford, NJ: Information Today.
   Google Scholar
• Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York, NY: Free Press.
   Google Scholar
• Rogers, E. M. (2002). Diffusion of preventive innovations. Addictive Behaviors,27, 989–993. doi:10.1016/S0306-4603(02)00300-3
   PubMed Web of Science ®Google Scholar
• Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York, NY: Free Press.
   Google Scholar
• Roter, D. L., & Hall, J. A. (2011). How medical interaction shapes and reflects the physician-patient relationship. In T. L. Thompson, R. Parrott, & J. F. Nussbaum (Eds.), The Routledge handbook of health communication (2nd ed., pp. 55–68). New York, NY: Routledge.
   Google Scholar
• Rudd, R., Moeykens, B. A., & Colton, T. C. (2000). Health and literacy: A review of medical and public health literature. In J. Comings, B. Garners, & C. Smith (Eds.), Annual review of adult learning and literacy (pp. 158–200). New York, NY: Jossey-Bass.
   Google Scholar
• Sarkar, U., Karter, A. J., Liu, J. Y., Adler, N. E., Nguyen, R., Lopez, A., & Schillinger, D. (2011). Social disparities in internet patient portal use in diabetes: Evidence that the digital divide extends beyond access. Journal of the American Medical Informatics Association,18, 318–321. doi:10.1136/jamia.2010.006015
   PubMed Web of Science ®Google Scholar
• Schillinger, D., Bindman, A., Wang, F., Stewart, A., & Piette, J. (2004). Functional health literacy and the quality of physician-patient communication among diabetes patients. Patient Education and Counseling,52, 315–323. doi:10.1016/S0738-3991(03)00107-1
   PubMed Web of Science ®Google Scholar
• Southwell, B. G., & Yzer, M. C. (2009). When (and why) interpersonal talk matters for campaigns. Communication Theory,19, 1–8. doi:10.1111/j.1468-2885.2008.01329.x
   Web of Science ®Google Scholar
• Stephens, K. K., Barrett, A. K., & Mahometa, M. J. (2013). Organizational communication in emergencies: Using multiple channels and sources to combat noise and capture attention. Human Communication Research,39, 230–251. doi:10.1111/hcre.12002
   Web of Science ®Google Scholar
• Stephens, K. K., & Rains, S. A. (2011). Information and communication technology sequences and message repetition in interpersonal interaction. Communication Research,38, 101–122. doi:10.1177/0093650210362679.
   Web of Science ®Google Scholar
• Stephens, K. K., Rimal, R. N., & Flora, J. A. (2004). Expanding the reach of health campaigns: Community organizations as meta-channels for the dissemination of health information. Journal of Health Communication,9, 97–111. doi:10.1080/10810730490271557
   PubMed Web of Science ®Google Scholar
• Valente, T. W., Paredes, P., & Poppe, P. R. (1998). Matching the message to the process the relative ordering of knowledge, attitudes, and practices in behavior change research. Human Communication Research,24, 366–385. doi:10.1111/j.1468-2958.1998.tb00421.x
   PubMed Web of Science ®Google Scholar
• van den Putte, B., Yzer, M., Southwell, B. G., de Bruijn, G.-J., & Willemsen, M. C. (2011). Interpersonal communication as an indirect pathway for the effect of antismoking media content on smoking cessation. Journal of Health Communication,16, 470–485. doi:10.1080/10810730.2010.546487
   PubMed Web of Science ®Google Scholar
• Weick, K. E. (1970). The twigging of overload. In H. B. Pepinsky (Ed.), People and information (pp. 67–129). New York, NY: Pergamon Press.
   Google Scholar
• Weiss, B. D., Mays, M. Z., Martz, W., Castro, K. M., DeWalt, D. A., Pignone, M. P., Mockbee, J., & Hale, F. A. (2005). Quick assessment of literacy in primary care: The newest vital sign. Annals of Family Medicine,3, 514–522. doi:10.1370/afm.405
   PubMed Web of Science ®Google Scholar
• Weiss, B. D., & Palmer, R. (2004). Relationship between health care costs and very low literacy skills in a medically needy and indigent Medicaid population. Journal of the American Board of Family Medicine,17, 44–47. doi:10.3122/jabfm.17.1.44
   Web of Science ®Google Scholar
• Williams, J., & MacKinnon, D. P. (2008). Resampling and distribution of the product methods for testing indirect effects in complex models. Structural Equation Modeling: A Multidisciplinary Journal,15, 23–51. doi:10.1080/10705510701758166
   PubMed Web of Science ®Google Scholar