Calling Doctor Google? Technology Adoption and Health Information Seeking among Low-income African-American Older Adults
DOI:
https://doi.org/10.32473/jpic.v1.i2.p153Schlagworte:
underserved population, African-American older adults, technology adoption, healthAbstract
We conducted focus groups with low-income African American older adults in Kansas City, MO, to examine how this underserved group adopts and uses technology and how technology adoption/use is associated with health information seeking behavior. Low-income African American older adults have been shown to lag behind in terms of their technology access and use. Our findings show that although low-income African American older adults perceive technology to be highly useful, they do not view it as easy to use, thus preventing them from further adopting or using relevant technologies. Consequently, there is skepticism with respect to using technology to search for health information. Our study advances research on underserved groups’ technology use and health information seeking by looking at the intersectionality of race/ethnicity, age, and income.
Literaturhinweise
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. doi:10.1016/0749-5978(91)90020-T
Ajzen, I. (2012). The theory of planned behavior. In P. A. M. van Lange, A. W. Kruglanski, & E. T. Higgins (Eds.), Handbook of theories of social psychology (pp. 438-459). Thousand Oaks, CA: Sage.
Ancu, M. (2012). Older adults on Facebook: A survey examination of motives and use of social networking by people 50 and older. Florida Communications Journal, 40(2), 1-12.
Anders, M., & Perrin, A. (2016). 13% of Americans don’t use the internet. Who are they? Retrieved from Pew Research Center website: http://www.pewresearch.org/fact-tank/2016/09/07/some-americans-dont-use-the-internet-who-are-they/
Anderson, M. (2015). Technology device ownership: 2015. Retrieved from Pew Research Center website: http://www.pewinternet.org/2015/10/29/technology-device-ownership-2015/
Anderson, M., & Perrin, A. (2017). Tech adoption climbs among older adults. Retrieved from Pew Research Center website: http://www.pewinternet.org/2017/05/17/tech-adoption-climbs-among-older-adults/
Atkin, D. J., Hunt, D. S., & Lin, C. A. (2015). Diffusion theory in the new media environment: Toward an integrated technology adoption model. Mass Communication and Society, 18(5), 623-650. doi:10.1080/15205436.2015.1066014
Baker, C. (2013). A connection for all ages: Enabling the benefits of high-speed Internet access for older adults. AARP Public Policy Institute, 79, 18.
Barbour, R. (2008). Doing focus groups. Thousand Oaks, CA: Sage Publications Ltd.
Barker, V. (2012). A generational comparison of social networking site use: The influence of age and social identity. The International Journal of Aging and Human Development, 74(2), 163-187. doi:10.2190/AG.74.2.d
Canton, S. (2017). A year of free high-speed internet in Kansas City public housing. The Kansas City Star. Retrieved from http://www.kansascity.com/news/local/article135567663.html
Charmaz, K. (2014). Constructing grounded theory. Thousand Oaks, CA: Sage Publications Ltd.
Creswell, J. W. (2013). Qualitative inquiry & research design: Choosing among five approaches. Thousand Oaks, CA: Sage Publications Ltd.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319. doi:10.2307/249008.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models: Management Science, 35(8), 982-1003. doi:10.1287/mnsc.35.8.982
Emerson, A. R., Fretz, R.I., & Shaw, L. L. (1995). Writing ethnographic notes. Chicago, IL: University of Chicago Press.
Fry, R. (2016). Millennials overtake baby boomers as America’s largest generation: Pew Research Center.
Fusch, P. I., & Ness, L. R. (2015). Are we there yet? Data saturation in qualitative research. The Qualitative Report, 20(9), 1408-1416.
Geana, M. V., & Greiner, K. A. (2011). Health information and the digital divide. Journal of Management & Marketing in Healthcare, 4(2), 108-112. doi:10.1179/175330311X12943314049538
Geana, M. V., Greiner, K. A., Cully, A., Talawyma, M., & Daley, C. M. (2012). Improving health promotion to American Indians in the Midwest United States: Preferred sources of health information and its use for the medical encounter. Journal of Community Health, 37(6), 1253-1263.
doi: 10.1007/s10900-012-9564-x
Geanna, M. V., Kimminau, K. S., & Greiner, K. A. (2011). Sources of health information in a multiethnic, underserved, urban community: Does ethnicity matter? Journal of Health Communication, 16(6), 583-594. doi: 10.1080/10810730.2011.551992
Godin, G., & Kok, G. (1996). The Theory of Planned Behavior: A review of its applications to health-related behaviors. American Journal of Health Promotion, 11(2), 87-98. doi:10.4278/0890-1171-11.2.87
Goldberg, R. (2016). Lack of trust in internet privacy and security may deter economic and other online activities. Retrieved from National Telecommunications and Information Administration, United States Department of Commerce website: https://www.ntia.doc.gov/blog/2016/lack-trust-internet-privacy-and-security-may-deter-economic-and-other-online-activities
Gallop, C. J. (1997). Health information-seeking behavior and older African American women. Bulletin of the Medical Library Association, 85(2), 141-146.
Greenwood, S., Perrin, A., & Duggan, M. (2016). Social media update 2016. Retrieved from Pew Research Center website: http://www.pewinternet.org/2016/11/11/social-media-update-2016/
Hargittai, E., & Hinnant, A. (2008). Digital inequality: Differences in young adults' use of the Internet. Communication Research, 35(5), 602-621. doi:10.1177/0093650208321782
Hargittai, E., & Hsieh, Y. (2013). Digital inequality. The Oxford handbook of Internet studies. Oxford, UK: Oxford University Press. doi: 10.1093/oxfordhb/9780199589074.013.0007
Haughton, L. T. (2005). Digital divide and stability of access in African American women visiting urban public health centers. Journal of Health Care for the Poor and Underserved, 16(2), 362-374. doi: 10.1353/hpu.2005.0034
Helsper, E. J. (2016). The social relativity of digital exclusion: Applying relative deprivation theory to digital inequalities. Communication Theory 27(3), 223-242. doi: 10.1111/comt.12110
Hesse, B. W., Nelson, D. E., Kreps, G. L., 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(22), 2618-2624. doi:10.1001/archinte.165.22.2618
Holt, C. L. (2017). Health ministry and activities in African American faith-based organizations: A qualitative examination of facilitators, barriers, and use of technology. Journal of Health Care for the Poor and Underserved, 28(1), 378-388. doi:10.1353/hpu.2017.0029
Horrigan, J. B. (2016). Digital readiness gaps. Retrieved from Pew Research Center website: http://www.pewinternet.org/2016/09/20/digital-readiness-gaps/
Horrigan, J. B., & Duggan, M. (2015). Home broadband 2015. Retrieved from Pew Research Center website: http://www.pewinternet.org/2015/12/21/home-broadband-2015/
Jaeger, P. T., Bertot, J. C., Thompson, K. M., Katz, S. M., & DeCoster, E. J. (2012). The intersection of public policy and public access: Digital divides, digital literacy, digital inclusion, and public libraries. Public Library Quarterly, 31(1), 1-20. doi:10.1080/01616846.2012.654728
Kansas City Mayor’s Bi-State Innovation Team (2012). The state of internet connectivity in KC: Neighborhood-based research findings (Google Propriety Presentation). Retrieved from https://www.growyourgiving.org/sites/default/files/State%20of%20Internet%20Connectivity%20in%20KC%20Preso%20PDF.pdf
Kim, H., & Xie, B. (2017). Health literacy in the eHealth era: A systematic review of the literature. Patient Education and Counseling, 100(6), 1073-1082. doi:10.1016/j.pec.2017.01.015
Kontos, E. Z., Emmons, K. M., Puleo, E., & Viswanath, K. (2010). Communication inequalities and public health implications of adult social networking site use in the United States. Journal of Health Communication, 15(Suppl.3), 216-235. doi:10.1080/10810730.2010.522689
Krishnan, A., & Hunt, D. S. (2015). Influence of a multidimensional measure of attitudes on motives to use social networking sites. Cyberpsychology, Behavior, and Social Networking, 18(3), 165-172. doi:10.1089/cyber.2014.0423
Krueger, R. A., & Casey, M. A. (2009). Focus groups: A practical guide for applied research. Thousand Oaks, CA: Sage Publications Ltd.
Lumpkins, C. Y., Mabachi, N., Lee, J., Pacheco, C., Greiner, K. A., & Geana, M. (2017). A prescription for internet access: Appealing to middle-aged and older racial and ethnic minorities through social network sites to combat colorectal cancer. Health Communication, 7, 1-5. doi:10.1080/10410236.2016.1195679
Luo, M. M., Chea, S., & Chen, J.-S. (2011). Web-based information service adoption: A comparison of the motivational model and the uses and gratifications theory. Decision Support Systems, 51(1), 21-30. doi:10.1016/j.dss.2010.11.015
Luo, M. M., & Remus, W. (2014). Uses and gratifications and acceptance of web-based information services: An integrated model. Computers in Human Behavior, 38, 281-295. doi:10.1016/j.chb.2014.05.042
Manganello, J., Gerstner, G., Pergolino, K., Graham, Y., Falisi, A., & Strogatz, D. (2017). The relationship of health literacy with use of digital technology for health information: Implications for public health practice. Journal of Public Health Management and Practice, 23(4), 380-387.
doi: 10.1097/PHH.0000000000000366
Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
doi:10.1287/isre.2.3.173
Matthews, A. K., Sellergren, S. A., Manfredi, C., & Williams, M. (2002). Factors influencing medical information seeking among African American cancer patients. Journal of Health Communication, 7(3), 205-219. doi:10.1080/10810730290088094
Mattis, J. S. (2002). Religion and spirituality in the meaning–making and coping experiences of African American women: A qualitative analysis. Psychology of Women Quarterly, 26(4), 309-321. doi: 10.1111/1471-6402.t01-2-00070
Mehra, B., Merkel, C., & Bishop, A. P. (2004). The internet for empowerment of minority and marginalized users. New Media & Society, 6(6), 781-802. doi:10.1177/146144804047513
Mossberger, K. (2006). Race, place, and information technology. Urban Affairs Review, 41(5), 583-620. doi: 10.1177/1078087405283511
Patton, M. Q. (2002). Qualitative research & evaluation methods. London, UK: Sage Publications.
Perrin, A. (2015). Social media usage: 2005-2015. Retrieved from Pew Research Center website: http://www.pewinternet.org/2015/10/08/social-networking-usage-2005-2015/
Perrin, A., & Duggan, M. (2015). Americans’ internet access: 2000-2015. Retrieved from Pew Research Center website: http://www.pewinternet.org/2015/06/26/americans-internet-access-2000-2015/
Quan-Haase, A., & Young, A. L. (2010). Uses and gratifications of social media: A comparison of Facebook and instant messaging. Bulletin of Science, Technology & Society, 30(5), 350-361. doi:10.1177/0270467610380009
Raacke, J., & Bonds-Raacke, J. (2008). MySpace and Facebook: Applying the uses and gratifications theory to exploring friend-networking sites. CyberPsychology & Behavior, 11(2), 169-174. doi:10.1089/cpb.2007.0056
Raine, L. (2016). Digital divides 2016 in a PowerPoint presentation [PowerPoint slides]. Retrieved from http://www.pewinternet.org/2016/07/14/digital-divides-2016/
Rhinesmith, C. (2015). Digital inclusion and meaningful broadband adoption initatives. Evanston, IL: Benton Foundation.
Ruggiero, T. (2000). Uses and gratification theory in the 21st century. Mass Communication & Society, 3(1), 3-37.
doi: 10.1207/S15327825MCS0301_02
Seo, H., Houston, J. B., Knight, L. T., Kennedy, E., & Inglish, A. (2014). Teens' social media use and collective action. New Media & Society, 16(6), 883-902. doi:10.1177/1461444813495162
Seo, H. & Thorson, S. (2016). A mixture model of global Internet capacity distributions. Journal of the Association for Information Science and Technology, 67(8), 2032-2044. doi:10.1002/asi.23523
Smith, A. (2014). African Americans and Technology Use. Retrieved from http://www.pewinternet.org/2014/01/06/african-americans-and-technology-use/
Sundar, S. S., Jia, H., Waddell, T. F., & Huang, Y. (2015). Toward a theory of interactive media effects: Four models for explaining how interface features affect user psychology. In S. S. Sundar (Ed.), Handbook of psychology of communication technology (pp. 47-86). Malden, MA: Wiley Blackwell.
Tieu, L., Schillinger, D., Sarkar, U., Hoskote, M., Hahn, K. J., Ratanawongsa, N., Lyles, C. R. (2017). Online patient websites for electronic health record access among vulnerable populations: Portals to nowhere? Journal of the American Medical Informatics Association, 24(e1), e47-e54. doi:10.1093/jamia/ocw098
van Deursen, A. J. A. M., Helsper, E. J. & Eynon, R. (2014). Measuring digital skills. From Digital Skills to Tangible Outcomes project report. Retrieved from www.oii.ox.ac.uk/research/projects/?id=112
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. doi:10.1287/isre.11.4.342.11872
Viswanath, K., & Ackerson, L. K. (2011). Race, ethnicity, language, social class, and health communication inequalities: A nationally-representative cross-sectional study. PLOS ONE, 6(1), e14550.
doi:10.1371/journal.pone.0014550
Weaver III, J. B., Mays, D., Weaver, S. S., Hopkins, G. L., Eroğlu, D., & Bernhardt, J. M. (2010). Health information–seeking behaviors, health indicators, and health risks. American Journal of Public Health, 100(8), 1520-1525. doi:10.2105/AJPH.2009.180521
Whiting, A., & Williams, D. (2013). Why people use social media: A uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4), 362-369. doi:10.1108/QMR-06-2013-0041
Wilson, K. R., Wallin, J. S., & Reiser, C. (2003). Social stratification and the digital divide. Social Science Computer Review, 21(2), 133-143. doi:10.1177/0894439303021002001
Winbush, G. B. (2014). Health empowerment technologies (HET): Building a web-based tool to empower older African American patient-doctor relationships. Journal of Health Care for the Poor and Underserved, 24(4a), 106-117. doi:10.1353/hpu.2014.0017
Xie, B., Watkins, I., Golbeck, J., & Huang, M. (2012). Understanding and changing older adults' perceptions and learning of social media. Educational Gerontology, 38(4), 282-296.
doi: 10.1080/03601277.2010.544580
Downloads
Zusätzliche Dateien
Veröffentlicht
Ausgabe
Rubrik
Lizenz
By submitting to the Journal of Public Interest Communications, the author(s) agree to the terms of the Author Agreement. All authors retain copyrights associated with their article contributions and agree to make such contributions available under a Creative Commons Attribution License (CC-BY NC) 4.0 upon publication.
Author Agreement
This agreement takes effect upon acceptance of the Submission for publication in JPIC.
- I hereby grant to the University of Florida (“the University”) the non-exclusive right to retain, reproduce and distribute the Submission in whole or in part, in print and electronic format and in any medium. This agreement does not represent a transfer of copyright to the University.
- The University may make and keep multiple copies of the work for purposes of security, backup, preservation and access; and may migrate the work to any medium or format for the purpose of preservation and access.
- I represent and warrant to the University that the work is my original work and that I have the authority as sole author or I have the authority on behalf of my co-authors to grant the rights contained in this agreement. I also represent that the work does not, to the best of my knowledge, infringe or violate any rights of others.
- I further represent and warrant that I have obtained all necessary rights to permit the University to reproduce and distribute the work, including any third-party material. Alternatively, I represent that my use of any third-party material is allowed because the material is not in copyright or I have performed a fair use analysis and reasonably believe my use is permitted. Any content owned by a third party is clearly identified and acknowledged within the work.
- I grant these same rights to the George A. Smathers Libraries at the University of Florida. Additionally, I grant the right to both the University and Smathers Libraries to enter into agreements with third-party entities and the rights necessary to host, print, index and abstract the Submission.
Open Access and Self-Archiving
JPIC follows an open-access publishing model, meaning that all articles will be publicly accessible on the Internet immediately upon publication. I understand that I may share the submitted manuscript (preprint) of the Submission on the Internet at any point before or after publication, with a citation and link to the final version of record to be added as soon as the issue is available. I may disseminate the final peer-reviewed version at any point after publication.
Creative Commons License
JPIC applies a Creative Commons Attribution License (CC-BY NC) 4.0 to encourage sharing and reuse of content and to maximize the impact of published research. By publishing in JPIC, I agree that the terms of this license will be applied to the Submission. Smathers Libraries (copyright@uflib.ufl.edu) may be able to offer additional information.
By granting this license, I acknowledge that I have read and agreed to the terms of this agreement.