Social Disparities in Online Health-Related Activities and Social Support: Findings from Health Information National Trends Survey

References

• Abbas, R., & Mesch, G. (2018). Do rich teens get richer? Facebook use and the link between offline and online social capital among Palestinian youth in Israel. Information, Communication & Society, 21(1), 63–79. https://doi.org/10.1080/1369118X.2016.1261168
   Web of Science ®Google Scholar
• Anderson, K., Smith, L., & Garrett, D. (2012). Social media “likes” healthcare: From marketing to social business. PWC Health Research Institute. https://www.pwc.com/us/en/health-industries/health-research-institute/publications/pdf/health-care-social-media-report.pdf
   Google Scholar
• Antonucci, T. C., Ajrouch, K. J., & Janevic, M. R. (2003). The effect of social relations with children on the education–health link in men and women aged 40 and over. Social Science & Medicine, 56(5), 949–960. https://doi.org/10.1016/S0277-9536(02)00099-0
   PubMed Web of Science ®Google Scholar
• Chae, J. (2019). How we use the Internet matters for health: The relationship between various online health-related activities and preventive dietary behaviors. Health Informatics Journal, 25(3), 973–983. https://doi.org/10.1177/1460458217735675
   PubMed Web of Science ®Google Scholar
• Chan, A. K. M., Nickson, C. P., Rudolph, J. W., Lee, A., & Joynt, G. M. (2020). Social media for rapid knowledge dissemination: Early experience from the COVID-19 pandemic. Anaesthesia, 75(12), 1579–1582. https://doi.org/10.1111/anae.15057
   PubMed Web of Science ®Google Scholar
• Chon, M. G., & Park, H. (2017). One does not fit all: Health audience segmentation and prediction of health behaviors in cancer prevention. Health Marketing Quarterly, 34(3), 202–216. https://doi.org/10.1080/07359683.2017.1346434
   PubMedGoogle Scholar
• Chou, W. Y. S., Hunt, Y. M., Beckjord, E. B., Moser, R. P., & Hesse, B. W. (2009). Social media use in the United States: Implications for health communication. Journal of Medical Internet Research, 11(4), e48. https://doi.org/10.2196/jmir.1249
   PubMed Web of Science ®Google Scholar
• Courtois, C., & Verdegem, P. (2016). With a little help from my friends: An analysis of the role of social support in digital inequalities. New Media & Society, 18(8), 1508–1527. https://doi.org/10.1177/1461444814562162
   Web of Science ®Google Scholar
• De Choudhury, M., Morris, M. R., & White, R. W. (2014). Seeking and sharing health information online: Comparing search engines and social media. Proceeding of the SIGCHI Conference on Human Factors in Computing Systems, 14, 1365–1376. https://doi.org/10.1145/2556288.2557214
   Google Scholar
• DiMaggio, P., & Garip, F. (2011). How network externalities can exacerbate intergroup inequality. American Journal of Sociology, 116(6), 1887–1933. https://doi.org/10.1086/659653
   Web of Science ®Google Scholar
• DiMaggio, P., & Garip, F. (2012). Network effects and social inequality. Annual Review of Sociology, 38(1), 93–118. http://doi.org/10.1146/annurev.soc.012809.102545
   Web of Science ®Google Scholar
• DiMaggio, P., Hargittai, E., Celeste, C., & Shafer, S. (2004). From unequal access to differentiated use: A literature review and agenda for research on digital inequality. In K. M. Neckerman (Ed.), Social inequality (pp. 355–400). Russell Sage Foundation.
   Google Scholar
• Emani, S., Yamin, C. K., Peters, E., Karson, A. S., Lipsitz, S. R., Wald, J. S., Williams, D. H., & Bates, D. W. (2012). Patient perceptions of a personal health record: A test of the diffusion of innovation model. Journal of Medical Internet Research, 14(6), e150. https://doi.org/10.2196/jmir.2278
   PubMed Web of Science ®Google Scholar
• Emanuel, A. S., Kiviniemi, M. T., Howell, J. L., Hay, J. L., Waters, E. A., Orom, H., & Shepperd, J. A. (2015). Avoiding cancer risk information. Social Science & Medicine, 147, 113–120. https://doi.org/10.1016/j.socscimed.2015.10.058
   PubMed Web of Science ®Google Scholar
• Estacio, E. V., Whittle, R., & Protheroe, J. (2019). The digital divide: Examining sociodemographic factors associated with health literacy, access and use of Internet to seek health information. Journal of Health Psychology, 24(12), 1668–1675. https://doi.org/10.1177/1359105317695429
   PubMed Web of Science ®Google Scholar
• Fareed, N., Swoboda, C. M., Jonnalagadda, P., & Huerta, T. R. (2021). Persistent digital divide in health-related internet use among cancer survivors: Findings from the Health Information National Trends Survey, 2003–2018. Journal of Cancer Survivorship, 15(1), 87–98. https://doi.org/10.1007/s11764-020-00913-8
   PubMed Web of Science ®Google Scholar
• Finney Rutten, L. J., Blake, K. D., Greenberg-Worisek, A. J., Allen, S. V., Moser, R. P., & Hesse, B. W. (2019). Online health information seeking among US adults: Measuring progress toward a healthy people 2020 objective. Public Health Reports, 134(6), 617–625. https://doi.org/10.1177/0033354919874074
   PubMed Web of Science ®Google Scholar
• Finney Rutten, L. J., Davis, T., Beckjord, E. B., Blake, K., Moser, R. P., & Hesse, B. W. (2012). Picking up the pace: Changes in method and frame for the Health Information National Trends Survey (2011–2014). Journal of Health Communication, 17(8), 979–989. https://doi.org/10.1080/10810730.2012.700998
   PubMed Web of Science ®Google Scholar
• Fox, S., & Duggan, M. (2013, November 26). Part two: Sources of health information. Pew Research Center. https://www.pewresearch.org/internet/2013/11/26/part-two-sources-of-health-information/
   Google Scholar
• Greenberg-Worisek, A. J., Kurani, S., Rutten, L. J. F., Blake, K. D., Moser, R. P., & Hesse, B. W. (2019). Assessing electronic personal health information use: An update on progress toward healthy people 2020 objectives. Health Policy and Technology, 8(3), 211–220. https://doi.org/10.1016/j.hlpt.2019.05.010
   Web of Science ®Google Scholar
• Greenberg, C. J., & Wang, L. (2012). Building health literacy among an urban teenage population by creating online health videos for public and school health curriculum use. Journal of Consumer Health on the Internet, 16(2), 135–146. https://doi.org/10.1080/15398285.2012.673459
   PubMedGoogle Scholar
• Hanson, G. L., Haridakis, P. M., & Sharma, R. (2011). Differing uses of YouTube during the 2008 US presidential primary election. Electronic News, 5(1), 1–19. https://doi.org/10.1177/1931243111398213
   Google Scholar
• Haslam, K., Doucette, H., Hachey, S., MacCallum, T., Zwicker, D., Smith-Brilliant, M., & Gilbert, R. (2019). YouTube videos as health decision aids for the public: An integrative review. Canadian Journal of Dental Hygiene, 53(1), 53–66. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7533808/
   PubMedGoogle Scholar
• Helsper, E. J., & Van Deursen, A. J. (2017). Do the rich get digitally richer? Quantity and quality of support for digital engagement. Information, Communication & Society, 20(5), 700–714. https://doi.org/10.1080/1369118X.2016.1203454
   Web of Science ®Google Scholar
• Helsper, E. J. (2017). The social relativity of digital exclusion: Applying relative deprivation theory to digital inequalities. Communication Theory, 27(3), 223–242. https://doi.org/10.1111/comt.12110
   Web of Science ®Google Scholar
• Heponiemi, T., Jormanainen, V., Leemann, L., Manderbacka, K., Aalto, A. M., & Hyppönen, H. (2020). Digital divide in perceived benefits of online health care and social welfare services: National cross-sectional survey study. Journal of Medical Internet Research, 22(7), e17616. https://doi.org/10.2196/17616
   PubMed Web of Science ®Google Scholar
• Hitlin, P. (2018, September, 28). Internet, social media use and device ownership in U.S. have plateaued after years of growth. Pew Research Center. https://www.pewresearch.org/fact-tank/2018/09/28/internet-social-media-use-and-device-ownership-in-u-s-have-plateaued-after-years-of-growth
   Google Scholar
• Hong, Y. A., & Cho, J. (2017). Has the digital health divide widened? Trends of health-related internet use among older adults from 2003 to 2011. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 72(5), 856–863. https://doi.org/10.1093/geronb/gbw100
   PubMed Web of Science ®Google Scholar
• Hudnut-Beumler, J., Po’e, E., & Barkin, S. (2016). The use of social media for health promotion in hispanic populations: A scoping systematic review. JMIR Public Health and Surveillance, 2(2), e32. https://doi.org/10.2196/publichealth.5579
   PubMedGoogle Scholar
• Jackson, D. N., Chou, W. Y. S., Coa, K. I., Oh, A., & Hesse, B. (2016). Implications of social media use on health information technology engagement: Data from HINTS 4 cycle 3. Translational Behavioral Medicine, 6(4), 566–576. https://doi.org/10.1007/s13142-016-0437-1
   PubMed Web of Science ®Google Scholar
• Katz, V. S., & Gonzalez, C. (2016). Toward meaningful connectivity: Using multilevel communication research to reframe digital inequality. Journal of Communication, 66(2), 236–249. https://doi.org/10.1111/jcom.12214
   Web of Science ®Google Scholar
• Kim, J. Y., & Song, Y. L. A. (2011). Social support: An effective resource for reducing the disparities in depression across socioeconomic strata. Korean Journal of Sociology, 45(6), 175–197.
   Google Scholar
• Kim, K., & Kwon, N. (2010). Profile of e-patients: Analysis of their cancer information-seeking from a national survey. Journal of Health Communication, 15(7), 712–733. https://doi.org/10.1080/10810730.2010.514031
   PubMed Web of Science ®Google Scholar
• Kontos, E., Blake, K. D., Chou, W. Y. S., & Prestin, A. (2014). Predictors of eHealth usage: Insights on the digital divide from the Health Information National Trends Survey 2012. Journal of Medical Internet Research, 16(7), e172. https://doi.org/10.2196/jmir.3117
   PubMedGoogle Scholar
• Korda, H., & Itani, Z. (2013). Harnessing social media for health promotion and behavior change. Health Promotion Practice, 14(1), 15–23. https://doi.org/10.1177/1524839911405850
   PubMedGoogle Scholar
• Laz, T. H., & Berenson, A. B. (2013). Racial and ethnic disparities in internet use for seeking health information among young women. Journal of Health Communication, 18(2), 250–260. https://doi.org/10.1080/10810730.2012.707292
   PubMed Web of Science ®Google Scholar
• Li, L., & Peng, W. (2020). Does health information technology promote healthy behaviors? The mediating role of self-regulation. Health Communication, 35(14), 1772–1781. https://doi.org/10.1080/10410236.2019.1663468
   PubMed Web of Science ®Google Scholar
• Li, X., & Chen, W. (2021). Core tech support networks and digital inequalities in American disadvantaged urban communities. Journal of Computer-Mediated Communication, 26(2), 91–107. https://doi.org/10.1093/jcmc/zmaa019
   Web of Science ®Google Scholar
• Lundblad, J. P. (2003). A review and critique of Rogers’ diffusion of innovation theory as it applies to organizations. Organization Development Journal, 21(4), 50–64. https://search.proquest.com/scholarly-journals/review-critique-rogers-diffusion-innovation/docview/197971687/se-2?accountid=6802
   Google Scholar
• Mackert, M., Mabry-Flynn, A., Champlin, S., Donovan, E. E., & Pounders, K. (2016). Health literacy and health information technology adoption: The potential for a new digital divide. Journal of Medical Internet Research, 18(10), e264. https://doi.org/10.2196/jmir.6349
   PubMed Web of Science ®Google Scholar
• McKinley, C. J., & Wright, P. J. (2014). Informational social support and online health information seeking: Examining the association between factors contributing to healthy eating behavior. Computers in Human Behavior, 37, 107–116. https://doi.org/10.1016/j.chb.2014.04.023
   Web of Science ®Google Scholar
• Moorhead, S. A., Hazlett, D. E., Harrison, L., Carroll, J. K., Irwin, A., & Hoving, C. (2013). A new dimension of health care: Systematic review of the uses, benefits, and limitations of social media for health communication. Journal of Medical Internet Research, 15(4). https://doi.org/10.2196/jmir.1933
   PubMed Web of Science ®Google Scholar
• National Cancer Institute. (n.d.). Health national trends survey: HINTS response. https://hints.cancer.gov/view-questions-topics/question-details.aspx?PK_Cycle=13&qid=1352
   Google Scholar
• Nguyen, A., Mosadeghi, S., & Almario, C. V. (2017). Persistent digital divide in access to and use of the Internet as a resource for health information: Results from a California population-based study. International Journal of Medical Informatics, 103, 49–54. https://doi.org/10.1016/j.ijmedinf.2017.04.008
   PubMed Web of Science ®Google Scholar
• Or, C. K., & Karsh, B. T. (2009). A systematic review of patient acceptance of consumer health information technology. Journal of the American Medical Informatics Association, 16(4), 550–560. https://doi.org/10.1197/jamia.M2888
   PubMed Web of Science ®Google Scholar
• Paige, S. R., Krieger, J. L., & Stellefson, M. L. (2017). The influence of eHealth literacy on perceived trust in online health communication channels and sources. Journal of Health Communication, 22(1), 53–65. https://doi.org/10.1080/10810730.2016.1250846
   PubMed Web of Science ®Google Scholar
• Prestin, A., Vieux, S. N., & Chou, W. Y. S. (2015). Is online health activity alive and well or flatlining? Findings from 10 years of the Health Information National Trends Survey. Journal of Health Communication, 20(7), 790–798. https://doi.org/10.1080/10810730.2015.1018590
   PubMed Web of Science ®Google Scholar
• Ricke, L. D. (2014). The impact of YouTube on US politics. Lexington Books.
   Google Scholar
• Rogers, E. M. (2003). Diffusion of innovations. Free Press.
   Google Scholar
• Scheerder, A., Van Deursen, A., & Van Dijk, J. (2017). Determinants of Internet skills, uses and outcomes. A systematic review of the second-and third-level digital divide. Telematics and Informatics, 34(8), 1607–1624. https://doi.org/10.1016/j.tele.2017.07.007
   Web of Science ®Google Scholar
• Selwyn, N. (2004). Reconsidering political and popular understandings of the digital divide. New Media & Society, 6(3), 341–362. https://doi.org/10.1177/1461444804042519
   Web of Science ®Google Scholar
• Southwell, B. G., & Yzer, M. C. (2009). When (and why) interpersonal talk matters for campaigns. Communication Theory, 19(1), 1–8. https://doi.org/10.1111/j.1468-2885.2008.01329.x
   Web of Science ®Google Scholar
• Southwell, B. G. (2013). Social networks and popular understanding of science and health: Sharing disparities. Johns Hopkins University Press.
   Google Scholar
• Taylor, S. E., & Seeman, T. E. (1999). Psychosocial resources and the SES-health relationship. Annals-New York Academy of Sciences, 896(1), 210–225. https://doi.org/10.1111/j.1749-6632.1999.tb08117.x
   PubMedGoogle Scholar
• Van Deursen, A. J., Helsper, E., Eynon, R., & Van Dijk, J. A. (2017). The compoundness and sequentiality of digital inequality. International Journal of Communication, 11, 452–473. https://ijoc.org/index.php/ijoc/article/view/5739
   Web of Science ®Google Scholar
• Van Deursen, A. J., Van Dijk, J. A., & Peter, M. (2015). Increasing inequalities in what we do online: A longitudinal cross sectional analysis of Internet activities among the Dutch population (2010 to 2013) over gender, age, education, and income. Telematics and Informatics, 32(2), 259–272. https://doi.org/10.1016/j.tele.2014.09.003
   Web of Science ®Google Scholar
• Van Dijk, J. A. (2005). The deepening divide: Inequality in the information society. Sage Publications.
   Google Scholar
• Van Stee, S. K., & Yang, Q. (2018). Online cancer information seeking: Applying and Extending the comprehensive model of information seeking. Health Communication, 33(12), 1583–1592. https://doi.org/10.1080/10410236.2017.1384350
   PubMed Web of Science ®Google Scholar
• 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. https://doi.org/10.1371/journal.pone.0014550
   PubMed Web of Science ®Google Scholar
• Viswanath, K., & Kreuter, M. W. (2007). Health disparities, communication inequalities, and eHealth. American Journal of Preventive Medicine, 32(5), 131–133. https://doi.org/10.1016/j.amepre.2007.02.012
   PubMed Web of Science ®Google Scholar
• Viswanath, K. (2005). The communications revolution and cancer control. Nature Reviews Cancer, 5(10), 828–835. https://doi.org/10.1038/nrc1718
   PubMed Web of Science ®Google Scholar
• Vogels, E. A. (2020, January 9). About one-in-five Americans use a smart watch or fitness tracker. Pew Research Center. https://www.pewresearch.org/fact-tank/2020/01/09/about-one-in-five-americans-use-a-smart-watch-or-fitness-tracker/
   Google Scholar
• Wright, K. B. (2016). Communication in health-related online social support groups/communities: A review of research on predictors of participation, applications of social support theory, and health outcomes. Review of Communication Research, 4, 65–87. https://doi.org/10.12840/.2255-4165.2016.04.01.010
   Web of Science ®Google Scholar
• Zarcadoolas, C., Vaughon, W. L., Czaja, S. J., Levy, J., & Rockoff, M. L. (2013). Consumers’ perceptions of patient-accessible electronic medical records. Journal of Medical Internet Research, 15(8), e168. https://doi.org/10.2196/jmir.2507
   PubMed Web of Science ®Google Scholar
• Zhang, M. (2015). Internet use that reproduces educational inequalities: Evidence from big data. Computers & Education, 86, 212–223. https://doi.org/10.1016/j.compedu.2015.08.007
   Web of Science ®Google Scholar
• Zhang, X., Yu, P., Yan, J., & Spil, I. T. A. (2015). Using diffusion of innovation theory to understand the factors impacting patient acceptance and use of consumer e-health innovations: A case study in a primary care clinic. BMC Health Services Research, 15(1), 71. https://doi.org/10.1186/s12913-015-0726-2
   PubMed Web of Science ®Google Scholar
• Zhang, Y., Lauche, R., Sibbritt, D., Olaniran, B., Cook, R., & Adams, J. (2017). Comparison of health information technology use between American adults with and without chronic health conditions: Findings from the National Health Interview Survey 2012. Journal of Medical Internet Research, 19(10), e335. https://doi.org/10.2196/jmir.6989
   PubMed Web of Science ®Google Scholar
• Zhao, J. Y., Song, B., Anand, E., Schwartz, D., Panesar, M., Jackson, G. P., & Elkin, P. L. (2018). Barriers, facilitators, and solutions to optimal patient portal and personal health record use: A systematic review of the literature. AMIA Annual Symposium Proceedings, American Medical Informatics Association, 2017, 1913–1922. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5977619/
   Google Scholar