How Tailoring the Mode of Information Presentation Influences Younger and Older Adults’ Satisfaction with Health Websites

References

• Akrimi, Y., & Khemakhem, P. R. (2014). An analysis of perceived usability, perceived interactivity and website personality and their effects on consumer satisfaction. International Journal of Management Excellence, 2(3), 227–236.
   Google Scholar
• Bakker, A. B. (1999). Persuasive communication about AIDS prevention: Need for cognition determines the impact of message format. AIDS Education and Prevention, 11(2), 150.
   PubMed Web of Science ®Google Scholar
• Becker, S. A. (2004). A study of web usability for older adults seeking online health resources. ACM Transactions on Computer-Human Interaction, 11(4), 387–406.
   Google Scholar
• Bol, N. (2015). How to present online information to older cancer patients ( Doctoral dissertation). Retrieved May 3, 2016, from http://dare.uva.nl/record/1/494250
   Google Scholar
• Bol, N., Scholz, C., Smets, E. M. A., Loos, E. F., de Haes, H. C. J. M., & van Weert, J. C. M. (2013). Senior patients online: Which functions should a good patient website offer? Lecture Notes in Computer Science, 8010, 32–41. doi:10.1007/978-3-642-39191-0_4
   Google Scholar
• Bol, N., van Weert, J. C. M., de Haes, H. C. J. M., Loos, E. F., de Heer, S., Sikkel, D., & Smets, E. M. A. (2014). Using cognitive and affective illustrations to enhance older adults’ website satisfaction and recall of online cancer-related information. Health Communication, 29(7), 678–688. doi:10.1080/10410236.2013.771560
   PubMed Web of Science ®Google Scholar
• Bol, N., Smets, E. M. A., Eddes, E. H., de Haes, J. C. J. M., Loos, E. F., & van Weert, J. C. M. (2015). Illustrations enhance older colorectal cancer patients’ website satisfaction and recall of online cancer information. European Journal of Cancer Care, 24( 2), 213–223. doi:10.1111/ecc.12283
   Google Scholar
• Bolle, S., Romijn, G., Smets, E. M. A., Loos, E. F., Kunneman, M., & van Weert, J. C. M. (2016). Older cancer patients’ user experiences with web-based health information tools: A think-aloud study. Journal of Medical Internet Research, 18(7), e208.
   PubMed Web of Science ®Google Scholar
• Bolle, S., Van Weert, J. C., Daams, J. G., Loos, E. F., De Haes, H. C. J. M., & Smets, E. M. A. (2015). Online health information tool effectiveness for older patients: A systematic review of the literature. Journal of Health Communication, 20(9), 1067–1083.
   PubMed Web of Science ®Google Scholar
• Bright, L. F., & Daugherty, T. (2012).Does customization impact advertising effectiveness? An exploratory study of consumer perceptions of advertising in customized online environments. Journal of Marketing Communications, 18( 1), 19–37. doi:10.1080/13527266.2011.620767
   Google Scholar
• Chen, K., & Chan, A. H. S. (2011). A review of technology acceptance by older adults. Gerontechnology, 10(1), 1–12.
   Google Scholar
• Crites, S. L., Jr, Fabrigar, L. R., & Petty, R. (1994). Measuring the affective and cognitive properties of attitudes: Conceptual and methodological issues. Personality and Social Psychology Bulletin, 20(6), 619–634.
   Web of Science ®Google Scholar
• Dannefer, D., & Sell, R. R. (1988). Age structure, the life course and “aged heterogeneity”: Prospects for research and theory. Comprehensive Gerontology. Section B, Behavioural, Social, and Applied Sciences, 2(1), 1–10.
   PubMedGoogle Scholar
• Eagly, A. H., & Chaiken, S. (1998). Attitude structure and function. In: D. T. Gilbert, S. T. Fiske, & G. Lindzey (Eds.), The handbook of social psychology (Vols 1-2, 4th ed., pp. 269–322). New York, US: McGraw-Hill.
   Google Scholar
• Eurostat (2014). Digital economy and society statistics: Households and individuals. Retrieved September 20, 2016, from http://ec.europa.eu/eurostat/statistics-explained/index.php/Information_society_statistics_-_households_and_individuals
   Google Scholar
• Eveland, W., & Dunwoody, S. (2001). User control and structural isomorphism or disorientation and cognitive load? learning from the web versus print. Communication Research, 28(1), 48–78.
   Web of Science ®Google Scholar
• Felder, R. M., & Silverman, L. K. (1988). Learning and teaching styles. Engineering Education, 78(7), 674–681.
   Web of Science ®Google Scholar
• Foley, L., Maddison, R., Jones, Z., Brown, P., & Davys, A. (2011). Comparison of two modes of delivery of an exercise prescription scheme. The New Zealand Medical Journal, 124(1338), 44–54.
   PubMedGoogle Scholar
• Hawthorn, D. (2000). Possible implications of aging for interface designers. Interacting with Computers, 12(5), 507–528.
   Web of Science ®Google Scholar
• Hayes, A. F. (2012). PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling [White paper]. Retrieved March 15, from http://www.afhayes.com/public/process2012.pdf
   Google Scholar
• Heo, J., & Cho, C. H. (2009). A new approach to target segmentation: Media-usage segmentation in the multi-media environment. Journal of Targeting, Measurement and Analysis for Marketing, 17(3), 145–155.
   Google Scholar
• Hill, R. L., Dickinson, A., Arnott, J. L., Gregor, P., & McIver, L. (2011). Older web users’ eye movements: Experience counts. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1151–1160. doi:10.1145/1978942.1979115
   Google Scholar
• Jensen, J. D., King, A. J., Carcioppolo, N., & Davis, L. (2012). Why are tailored messages more effective? A multiple mediation analysis of a breast cancer screening intervention. Journal of Communication, 62(5), 851–868.
   PubMed Web of Science ®Google Scholar
• Kalyanaraman, S., & Sundar, S. (2006). The psychological appeal of personalized content in web portals: Does customization affect attitudes and behavior? Journal of Communication, 56(1), 110–132. doi:10.1111/j.1460-2466.2006.00006.x
   Web of Science ®Google Scholar
• Kiessling, J., Pichora-Fuller, M. K., Gatehouse, S., Stephens, D., Arlinger, S., Chisolm, T., … Von Wedel, H. (2003). Candidature for and delivery of audiological services: Special needs of older people. International Journal of Audiology, 42(2), S92–S101. doi:10.3109/14992020309074650
   Google Scholar
• Laguna, K., & Babcock, R. L. (1997). Computer anxiety in young and older adults: Implications for human-computer interactions in older populations. Computers in Human Behavior, 13(3), 317–326.
   Web of Science ®Google Scholar
• Lee, S. Y., Hwang, H., Hawkins, R., & Pingree, S. (2008). Interplay of negative emotion and health self-efficacy on the use of health information and its outcomes. Communication Research, 35(3), 358–381.
   Web of Science ®Google Scholar
• Linn, A. J., van Dijk, L., Smit, E. G., Jansen, J., & van Weert, J. C. (2013). May you never forget what is worth remembering: the relation between recall of medical information and medication adherence in patients with inflammatory bowel disease. Journal of Crohn’s and Colitis, 7(11), e543–e550. doi:10.1016/j.crohns.2013.04.001
   PubMedGoogle Scholar
• Liu, Y., & Shrum, L. J. (2009). A dual-process model of interactivity effects. Journal of Advertising, 38(2), 53–68.
   Web of Science ®Google Scholar
• Loos, E. F. (2011). In search of information on websites: A question of age? In: C. Stephanidis (Ed.), Universal Access in HCI, Part II (196–204). Berlin, Germany: Springer.
   Google Scholar
• Loos, E. F., & Romano Bergstrom, J. (2014). Older adults. In: J. Romano Bergstrom, & A. J. Schall (Eds.), Eye tracking in user experience design (pp. 313–329). Amsterdam, The Netherlands: Elsevier.
   Google Scholar
• Lustria, M. L. A., Cortese, J., Gerend, M. A., Schmitt, K., Kung, Y. M., & McLaughlin, C. (2016). A model of tailoring effects: A randomized controlled trial examining the mechanisms of tailoring in a web-based STD screening intervention. Health Psychology, 35(11), 1214.
   PubMed Web of Science ®Google Scholar
• Lustria, M. L. A., Noar, S. M., Cortese, J., Van Stee, S. K., Glueckauf, R. L., & Lee, J. (2013). A meta-analysis of web-delivered tailored health behavior change interventions. Journal of Health Communication, 18(9), 1039–1069.
   PubMed Web of Science ®Google Scholar
• Marathe, S., & Sundar, S. S. (2011). What drives customization? Control or identity? Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 781–790. doi:10.1145/1978942.1979056
   Google Scholar
• McKay, H. G., King, D., Eakin, E. G., Seeley, J. R., & Glasgow, R. E. (2001). The diabetes network Internet-based physical activity intervention: A randomized pilot study. Diabetes Care, 24(8), 1328–1334. doi:10.2337/diacare.24.8.1328
   PubMed Web of Science ®Google Scholar
• McMellon, C. A., & Schiffman, L. G. (2002). Cybersenior empowerment: How some older individuals are taking control of their lives. Journal of Applied Gerontology, 21, 157–175.
   Web of Science ®Google Scholar
• Morrel, R. W. (2002). Older adults, health information, and the World Wide Web. Mahwah, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Nelson, E. A., & Dannefer, D. (1992). Aged heterogeneity: Fact or fiction? The fate of diversity in gerontological research. The Gerontologist, 32(1), 17–23. doi:10.1093/geront/32.1.17
   PubMed Web of Science ®Google Scholar
• Nguyen, M. H., Bol, N., van Weert, J. C. M., Loos, E. F., Tytgat, K. M. A. J., Geijsen, E. D., … Smets, E. M. A. (2018). Optimizing eHealth tools for older patients: Collaborative redesign of a hospital website. Manuscript submitted for publication.
   Google Scholar
• Nimrod, G. (2013). Probing the audience of seniors’ online communities. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 68(5), 773–782.
   PubMed Web of Science ®Google Scholar
• Nguyen, M. H., van Weert, J. C. M., Bol, N., Loos, E. F., Tytgat, K. M. A. J., van de Ven, A. W. H., & Smets, E. M. A. (2017). Tailoring the mode of information presentation: Effects on younger and older adults’ attention and recall of online information. Human Communication Research, 43( 1), 102–126. doi:10.1111/hcre.12097
   Google Scholar
• Ogozalek, V. Z. (1994). A comparison of the use of text and multimedia interfaces to provide information to the elderly. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 65–71. doi:10.1145/259963.260287
   Google Scholar
• Oh, J., & Sundar, S. S. (2015). How does interactivity persuade? An experimental test of interactivity on cognitive absorption, elaboration, and attitudes. Journal of Communication, 65(2), 213–236.
   Web of Science ®Google Scholar
• Petty, R., Barden, J., & Wheeler, S. (2002). The elaboration likelihood model of persuasion: Health promotions that yield sustained behavior change. In: R. DiClemente, R. Crosby, & M. Kegler (Eds.), Emerging theories in health promotion practice and research (pp. 71–99). San Fransisco, CA: Jossey-Bass.
   Google Scholar
• Pew Research Center (2014). Older adults and technology use. Retrieved February 15, 2016, from http://www.pewinternet.org/files/2014/04/PIP_Seniors-and-Tech-Use_040314.pdf
   Google Scholar
• Poynton, T. A. (2005). Computer literacy across the lifespan: A review with implications for educators. Computers in Human Behavior, 21(6), 861–872.
   Web of Science ®Google Scholar
• Rideout, V., Neuman, T., Kitchman, M., & Brodie, M. (2005). E-health and the elderly: How seniors use the internet for health information. Retrieved February 16, 2016, from https://kaiserfamilyfoundation.files.wordpress.com/2013/01/e-health-and-the-elderly-how-seniors-use-the-internet-for-health-information-key-findings-from-a-national-survey-of-older-americans-survey-report.pdf
   Google Scholar
• Rider, T., Malik, M., & Chevassut, T. (2014). Haematology patients and the internet–The use of on-line health information and the impact on the patient–Doctor relationship. Patient Education and Counseling, 97(2), 223–238.
   PubMed Web of Science ®Google Scholar
• Rimer, B. K., & Kreuter, M. W. (2006). Advancing tailored health communication: A persuasion and message effects perspective. Journal of Communication, 56, S184–S201.
   Web of Science ®Google Scholar
• Ritterband, L. M., Thorndike, F. P., Cox, D. J., Kovatchev, B. P., & Gonder-Frederick, L. A. (2009). A behavior change model for internet interventions. Annals of Behavioral Medicine, 38(1), 18–27.
   PubMed Web of Science ®Google Scholar
• Samoocha, D., Bruinvels, D. J., Elbers, N. A., Anema, J. R., & van der Beek, A. J. (2010). Effectiveness of Web-based interventions on patient empowerment: A systematic review and meta-analysis. Journal of Medical Internet Research, 12(2), e23.
   PubMedGoogle Scholar
• Smit, E. S., Linn, A. J., & Van Weert, J. C. (2015). Taking online computer-tailoring forward: The potential of tailoring the message frame and delivery mode of online health behaviour change interventions. European Health Psychologist, 17(1), 25–31.
   Google Scholar
• Soroka, A. J., Wright, P., Belt, S., Pham, D. T., Dimov, S. S., de Roure, D., & Petrie, H. (2006). User choices for modalities of instructional information. IEEE International Conference on Industrial Informatics, 411–416. doi:10.1109/indin.2006.275835
   Google Scholar
• Spittaels, H., de Bourdeaudhuij, I., Brug, J., & Vandelanotte, C. (2007). Effectiveness of an online computer-tailored physical activity intervention in a real-life setting. Health Education Research, 22(3), 385–396.
   PubMed Web of Science ®Google Scholar
• Statistics Netherlands (2011). Ouderen maken inhaalslag op het internet. Retrieved February 14, 2016, from http://www.cbs.nl/nl-NL/menu/themas/vrije-tijd-cultuur/publicaties/artikelen/archief/2011/2011-3537-wm.htm
   Google Scholar
• Statistics Netherlands (2013). Internet ouderen fors toegenomen. Retrieved February 14, 2016, from http://www.cbs.nl/nl-NL/menu/themas/vrije-tijd-cultuur/publicaties/artikelen/archief/2013/2013-4005-wm.htm
   Google Scholar
• Stone, M. E., Lin, J., Dannefer, D., & Kelley-Moore, J. A. (2016). The continued eclipse of heterogeneity in gerontological research. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 1–6.
   PubMed Web of Science ®Google Scholar
• Tennant, B., Stellefson, M., Dodd, V., Chaney, B., Chaney, D., Paige, S., & Alber, J. (2015). eHealth literacy and Web 2.0 health information seeking behaviors among baby boomers and older adults. Journal of Medical Internet Research, 17(3), e70.
   PubMed Web of Science ®Google Scholar
• Van Vliet, L. M., van der Wall, E., Albada, A., Spreeuwenberg, P. M., Verheul, W., & Bensing, J. M. (2012). The validity of using analogue patients in practitioner–Patient communication research: Systematic review and meta-analysis. Journal of General Internal Medicine, 27(11), 1528–1543.
   PubMed Web of Science ®Google Scholar
• Van Weert, J. C. M., Van Noort, G., Bol, N., Van Dijk, L., Tates, K., & Jansen, J. (2011). Tailored information for cancer patients on the Internet: Effects of visual cues and language complexity on information recall and satisfaction. Patient Education and Counseling, 84(3), 368–378.
   PubMed Web of Science ®Google Scholar
• Vandelanotte, C., Duncan, M. J., Plotnikoff, R. C., & Mummery, W. K. (2012). Do participants’ preferences for mode of delivery (text, video, or both) influence the effectiveness of a web-based physical activity intervention? Journal of Medical Internet Research, 14(1), e37.
   PubMed Web of Science ®Google Scholar
• Vandelanotte, C., Spathonis, K. M., Eakin, E. G., & Owen, N. (2007). Website-delivered physical activity interventions: A review of the literature. American Journal of Preventive Medicine, 33(1), 54–64.
   PubMed Web of Science ®Google Scholar
• Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365.
   Web of Science ®Google Scholar
• Visser, L. N., Tollenaar, M. S., Bosch, J. A., Van Doornen, L. J., De Haes, H. C., & Smets, E. M. (2016). Analogue patients’ self-reported engagement and psychophysiological arousal in a video-vignettes design: Patients versus disease-naïve individuals. Patient Education and Counseling, 99, 1724–1732. (article in press).
   PubMed Web of Science ®Google Scholar
• Voorveld, H. A. M., Neijens, P. C., & Smit, E. G. (2011). The relation between actual and perceived interactivity. Journal of Advertising, 40(2), 77–92.
   Web of Science ®Google Scholar
• Wagner, N., Hassanein, K., & Head, M. (2014). The impact of age on website usability. Computers in Human Behavior, 37, 270–282.
   Web of Science ®Google Scholar
• Wang, Z., Wang, J., & Maercker, A. (2016). Program use and outcome change in a Web-based trauma intervention: Individual and social factors. Journal of Medical Internet Research, 18(9), e243.
   PubMed Web of Science ®Google Scholar
• Watkins, I., & Xie, B. (2014). eHealth literacy interventions for older adults: A systematic review of the literature. Journal of Medical Internet Research, 16(11), e225.
   PubMed Web of Science ®Google Scholar
• Wright, P., Soroka, A. J., Belt, S., Pham, D. T., Dimov, S., DeRoure, D. C., & Petrie, H. (2008). Modality preference and performance when seniors consult online information. Gerontechnology, 7(3), 293–304.
   Google Scholar
• Zhang, S., & Fitzsimons, G. J. (1999). Choice-process satisfaction:The influence of attribute alignability and option limitation. Organizational Behavior and Human Decision Processes, 77(3), 192–214. doi:10.1006/obhd.1999.2821
   PubMed Web of Science ®Google Scholar
• Ziebland, S., Chapple, A., Dumelow, C., Evans, J., Prinjha, S., & Rozmovits, L. (2004). How the internet affects patients’ experience of cancer: A qualitative study. Bmj, 328(7439), 1–6.
   PubMedGoogle Scholar