Implications of social media use on health information technology engagement: Data from HINTS 4 cycle 3
- 244 Downloads
Little is known about the association between Internet/social media use and health information technology (HIT) engagement. This study examines patterns of social media use and HIT engagement in the U.S.A. using data from the 2013 Health Information National Trends Survey (N = 3,164). Specifically, predictors of two HIT activities (i.e., communicating with a healthcare provider using the Internet or email and tracking personal health information electronically) are examined. Persons who were females, higher education, non-Hispanic others, having a regular healthcare provider, and ages 35–44 were more likely to participate in HIT activities. After controlling for sociodemographics and health correlates, social media use was significantly associated with HIT engagement. To our knowledge, this is one of the first studies to systematically examine the use and relationships across multiple types of health-related online media.
KEYWORDSInternet access Social media use Health information technology engagement Communication inequalities
We would like to dedicate this project to Dr. Abby Prestin, who passed away September 3, 2014. Dr. Prestin’s contribution to the Health Information National Trends Survey (HINTS) enabled this analysis and she is dearly missed.
COMPLIANCE WITH ETHICAL STANDARDS
Conflict of interest
Devlon N. Jackson has no conflict of interest to report.
The findings reported within this manuscript have not been previously published and this manuscript is not being simultaneously submitted elsewhere. It was presented at the 2015 DC Health Communication Conference, April 2015.
The data used to conduct this research was a publicly accessible secondary data set and the authors of this manuscript agree to allow the journal to review the data if requested.
The first author of this manuscript did not receive any funding support to conduct this research. The National Institutes of Health, National Cancer Institute and funding partner, Westat, provided funding support for the development of this publicly accessible secondary data set.
The research study for this manuscript used a publicly accessible secondary data set of human subjects ages 18 years of age and older, did not involve any animals, formal consent was not required as well.
IRB approval was not required to conduct this secondary data analysis using this publicly accessible data set by the National Institutes of Health, National Cancer Institute.
- 1.Brenner, J., & Smith, A. (2013). 72 % of online adults are social networking site users. Washington, DC: Pew Research Center’s Internet & American Life Project.Google Scholar
- 2.Project PI. Social networking fact sheet 2014; http://www.pewinternet.org/fact-sheets/social-networking-fact-sheet/. Accessed March 1, 2015.
- 3.Smith, A. (2011). Why Americans use social media. Pew Research Center: Washington, DC.Google Scholar
- 4.Fox, S., & Duggan, M. (2013). Health online 2013. Washington, DC: Pew Reserach Center’s Internet & American Life Project.Google Scholar
- 6.Patel, V., Barker, W., & Siminerio, E. (2014). Individual’s access and use of their online medical record nationwide. Washington, DC: The Office of the National Coordinator for Health Information Technology.Google Scholar
- 7.Klinger EV, Carlini SV, Gonzalez I, et al. Accuracy of race, ethnicity, and language preference in an electronic health record. Journal of general internal medicine. 2014.Google Scholar
- 9.Beckjord, E. B., Finney Rutten, L. J., Squiers, L., et al. (2007). Use of the internet to communicate with health care providers in the United States: estimates from the 2003 and 2005 Health Information National Trends Surveys (HINTS). Journal of medical Internet research., 9(3), e20.CrossRefPubMedPubMedCentralGoogle Scholar
- 10.Wen, K. Y., Kreps, G., Zhu, F., & Miller, S. (2010). Consumers’ perceptions about and use of the Internet for personal health records and health information exchange: analysis of the 2007 health information national trends survey. Journal of Medical Internet Research., 12(4), e73.Google Scholar
- 12.Attai, D. J., Cowher, M. S., Al-Hamadani, M., Schoger, J. M., Staley, A. C., & Landercasper, J. (2015). Twitter social media is an effective tool for breast cancer patient education and support: patient-reported outcomes by survey. Journal of medical Internet research., 17(7), e188.CrossRefPubMedPubMedCentralGoogle Scholar
- 15.Undem, T. (2010). Consumers and health information technology: a national survey. California HealthCare Foundation: Oakland, CA.Google Scholar
- 17.Government USF. American Recovery and Reinvestment Act 2009: Health Information Technology for Economic and Clincial Act: U.S. Federal Governement. 2009.Google Scholar
- 19.Smith SG, O’Conor R, Aitken W, Curtis LM, Wolf MS, Goel MS. Disparities in registration and use of an online patient portal among adults: findings from the LitCog cohort. Journal of the American Medical Informatics Association 2015;First published online: 25 April 2015.Google Scholar
- 20.Technology TOotNCfHI. EHR Incentives and Certification. 2015; www.healthit.gov/providers-professionals/meaningful-use-definition-objectives. Accessed March 2015.
- 21.Hsaiao, C.-J., & Hing, E. (2014). Use and characteristics of electronic health record systems among office-based physicians practices: United States, 2001–2013. National Center for Health Statistics: Hyattsville, MD.Google Scholar
- 22.Coordinator TOotN. Report to Congress: Update on the adoption of health information technology and related efforts to facilitate the electronic use and exchange of health information Washington, DC: The Office of the National Coordinator for Health Information Technology. 2014.Google Scholar
- 23.Swain M, Charles D, Furukawa M. ONC data brief-Health information exchange among U.S. non-federal acute hospitals: 2008–2013: The Office of the National Coordinator for Health Information Technology. 2014.Google Scholar
- 27.Rutten LF, Agunwamba A, Wilson P, et al. Cancer-related information seeking among cancer survivors: Trends over a decade (2003–2013). Journal of Cancer Education. 2015.Google Scholar
- 28.Strekalova Y. Emergent health risks and audience information engagement on social media. American Journal of Infection Control. 2015.Google Scholar
- 31.Rains, S., & Ruppel, E. (2013). Channel complementarity theory and teh health information-seeking process: further investigating the implications of source characteristics complementarity. Commun Res, 1-21.Google Scholar
- 32.Chou, W. S., Liu, B., Post, S., & Hesse, B. (2011). Health-related Internet use among cancer survivors: data from the health information national trends survey, 2003-2007. Journal of Cancer Survivorship., 5(3), 263–270Google Scholar
- 33.Westat N. Health information national trends survey 4, cycle 3, methodology report. 2014.Google Scholar
- 36.Purcell, K. (2013). Online video 2013. Washington, DC: Pew Research Center.Google Scholar
- 37.Company TN. The U.S. digital consumer report. 2014.Google Scholar
- 38.Group AM. US Hispanic trends and behaviors. 2013.Google Scholar
- 39.Gevelber L. Your next big opportunity: The U.S. Hispanic market. 2014. Accessed April 5, 2015.Google Scholar
- 40.Duggan, M., & Brenner, J. (2013). The demographics of social media users - 2012. Washington, DC: Pew Research Center.Google Scholar
- 41.DuBenske, L., Gustafson, D., Shaw, B., & Cleary, J. (2010). Web-based cancer communication and decision making systems: connecting patients, caregivers, and clinicians for improved health outcomes. Medical decision making: an international journal of the Society for Medical Decision Making, 30(6), 732–744.CrossRefGoogle Scholar
- 43.Commission FC. 2015 Broadband progress report and notice of inquiry on immediate action to accelerate deployment. Washington, DC. 2015.Google Scholar