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Implications of social media use on health information technology engagement: Data from HINTS 4 cycle 3

  • Original Research
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Translational Behavioral Medicine

ABSTRACT

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.

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REFERENCES

  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 

  5. Thackeray, R., Crookston, B. T., & West, J. H. (2013). Correlates of health-related social media use among adults. Journal of medical Internet research., 15(1), e21.

    Article  PubMed  PubMed Central  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.

  8. Roblin, D. W., Houston 2nd, T. K., Allison, J. J., Joski, P. J., & Becker, E. R. (2009). Disparities in use of a personal health record in a managed care organization. Journal of the American Medical Informatics Association : JAMIA, 16(5), 683–689.

    Article  PubMed  PubMed Central  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.

    Article  PubMed  PubMed Central  Google 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.

  11. Lustria, M. L., Smith, S. A., & Hinnant, C. C. (2011). Exploring digital divides: an examination of eHealth technology use in health information seeking, communication and personal health information management in the USA. Health informatics journal., 17(3), 224–243.

    Article  PubMed  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.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Gerber, D. E., Laccetti, A. L., Chen, B., et al. (2014). Predictors and intensity of online access to electronic medical records among patients with cancer. Journal of oncology practice / American Society of Clinical Oncology, 10(5), e307–e312.

    Article  Google Scholar 

  14. Klasnja, P., Hartzler, A., Powell, C., & Pratt, W. (2011). Supporting cancer patients’ unanchored health information management with mobile technology. AMIA Annual Symposium proceedings / AMIA Symposium AMIA Symposium, 2011, 732–741.

    PubMed  Google Scholar 

  15. Undem, T. (2010). Consumers and health information technology: a national survey. California HealthCare Foundation: Oakland, CA.

    Google Scholar 

  16. Choi, N. (2011). Relationship between health service use and health information technology use among older adults: analysis of the US National Health Interview Survey. Journal of medical Internet research., 13(2), 3–3.

    Article  CAS  Google Scholar 

  17. Government USF. American Recovery and Reinvestment Act 2009: Health Information Technology for Economic and Clincial Act: U.S. Federal Governement. 2009.

  18. Levy, H., Janke, A. T., & Langa, K. M. (2015). Health literacy and the digital divide among older americans. J Gen Intern Med, 30(3), 284–289.

    Article  PubMed  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.

  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.

  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.

  24. Kruse, C. S., Argueta, D. A., Lopez, L., & Nair, A. (2015). Patient and provider attitudes toward the use of patient portals for the management of chronic disease: a systematic review. Journal of medical Internet research., 17(2), e40.

    Article  PubMed  PubMed Central  Google Scholar 

  25. 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.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Young, R., Willis, E., Cameron, G., & Geana, M. (2014). “Willing but unwilling”: attitudinal barriers to adoption of home-based health information technology among older adults. Health informatics journal, 20(2), 127–135.

    Article  PubMed  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.

  28. Strekalova Y. Emergent health risks and audience information engagement on social media. American Journal of Infection Control. 2015.

  29. Dutta-Bergman, M. (2004). Complementarity in consumption of news types across traditional and new media. J Broadcast Electron Media, 48, 41–60.

    Article  Google Scholar 

  30. Dutta-Bergman, M. (2004). Interpersonal communication after 9/11 via telephone and internet: a theory of channel complementarity. New Media Soc, 6, 659–673.

    Article  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.

  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), 263–270

  33. Westat N. Health information national trends survey 4, cycle 3, methodology report. 2014.

  34. Chou, W. Y., 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.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Prestin, A., Vieux, S. N., & Chou, W. Y. (2015). Is online health activity alive and well or flatlining? Findings from 10 years of the Health Information National Trends Survey. J Health Commun, 20(7), 790–798.

    Article  PubMed  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.

  38. Group AM. US Hispanic trends and behaviors. 2013.

  39. Gevelber L. Your next big opportunity: The U.S. Hispanic market. 2014. Accessed April 5, 2015.

  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.

    Article  Google Scholar 

  42. Kontos, E., Blake, K. D., Chou, W. Y., & 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.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Commission FC. 2015 Broadband progress report and notice of inquiry on immediate action to accelerate deployment. Washington, DC. 2015.

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ACKNOWLEDGMENTS

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.

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Correspondence to Devlon N. Jackson PhD, MPH.

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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.

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IMPLICATIONS

Practice: The documented associations between social media and health IT use suggests that developers and clinicians must consider patients’ technology and implementing HIT activities and platforms.

Policy: For any policies and mandates related to health information technology to have a real impact, considerations must be given to how people currently use existing technology platforms for health information.

Research: Further research should explore reasons behind the populations’ differential use and preferences of technology platforms for health information

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Jackson, D.N., Chou, WY.S., Coa, K.I. et al. Implications of social media use on health information technology engagement: Data from HINTS 4 cycle 3. Behav. Med. Pract. Policy Res. 6, 566–576 (2016). https://doi.org/10.1007/s13142-016-0437-1

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  • DOI: https://doi.org/10.1007/s13142-016-0437-1

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