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. 2017 Oct 5;19(10):e335.
doi: 10.2196/jmir.6989.

Comparison of Health Information Technology Use Between American Adults With and Without Chronic Health Conditions: Findings From The National Health Interview Survey 2012

Yan Zhang  1   2 , Romy Lauche  2 , David Sibbritt  2 , Bolanle Olaniran  3 , Ronald Cook  4 , Jon Adams  2
Affiliations

Comparison of Health Information Technology Use Between American Adults With and Without Chronic Health Conditions: Findings From The National Health Interview Survey 2012

Yan Zhang et al. J Med Internet Res. .

Abstract

Background: Health information technology (HIT) is utilized by people with different chronic conditions such as diabetes and hypertension. However, there has been no comparison of HIT use between persons without a chronic condition, with one chronic condition, and multiple (≥2) chronic conditions (MCCs).

Objective: The aim of the study was to assess the difference in HIT use between persons without a chronic condition, with one chronic condition, and with MCCs, to describe the characteristics of HIT use among those with chronic conditions and to identify the predictors of HIT use of the persons with one chronic condition and MCCs.

Methods: A secondary data analysis was conducted in spring 2017 using the National Health Interview Survey (NHIS) 2012 Family Core and Sample Adult Core datasets that yielded 34,525 respondents aged 18 years and older. Measures included overall HIT use (ie, any use of the following five HIT on the Internet: seeking health information, ordering prescription, making appointment, emailing health provider, and using health chat groups), as well as sociodemographic and health-related characteristics. Sociodemographic and health characteristics were compared between HIT users and nonusers among those who reported having at least one chronic condition using chi-square tests. Independent predictors of HIT use were identified using multiple logistic regression analyses for those with one chronic condition, with MCCs, and without a chronic condition. Analyses were weighted and performed at significance level of .005.

Results: In 2012, adults with one health chronic condition (raw count 4147/8551, weighted percentage 48.54%) was significantly higher than among those with MCCs (3816/9637, 39.55%) and those with none of chronic condition (7254/16,337, 44.40%, P<.001). Seeking health information was the most prevalent HIT use. Chi-square tests revealed that among adults with chronic conditions, those who used HIT were significantly different from their counterpart peers who did not use HIT in terms of sociodemographic and health characteristics (P<.001). Overall, the significant factors related to HIT use were similar among the adults with one chronic condition, with MCCs, or without a chronic condition: younger age, female sex, non-Hispanic white, higher education level, and higher income level were shown to be positively related to the HIT use.

Conclusions: This study provides a snapshot of HIT use among those with chronic conditions and potential factors related to such use. Clinical care and public health communication efforts attempting to leverage more HIT use should acknowledge differential HIT usage as identified in this study to better address communication inequalities and persistent disparities in socioeconomic status.

Keywords: chronic illness; health information technology.

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Conflict of interest statement

Conflicts of Interest: None declared.

References

    1. Ward BW, Schiller JS, Goodman RA. Multiple chronic conditions among US adults: a 2012 update. Prev Chronic Dis. 2014 Apr 17;11:E62. doi: 10.5888/pcd11.130389. https://www.cdc.gov/pcd/issues/2014/13_0389.htm - DOI - PMC - PubMed
    1. Jamal A, Khan SA, AlHumud A, Al-Duhyyim A, Alrashed M, Bin Shabr F, Alteraif A, Almuziri A, Househ M, Qureshi R. Association of online health information-seeking behavior and self-care activities among type 2 diabetic patients in Saudi Arabia. J Med Internet Res. 2015 Aug 12;17(8):e196. doi: 10.2196/jmir.4312. http://www.jmir.org/2015/8/e196/ - DOI - PMC - PubMed
    1. Sparud-Lundin C, Ranerup A, Berg M. Internet use, needs and expectations of web-based information and communication in childbearing women with type 1 diabetes. BMC Med Inform Decis Mak. 2011 Jul 07;11:49. doi: 10.1186/1472-6947-11-49. https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/1472-694... - DOI - PMC - PubMed
    1. Al Mamun M, Ibrahim HM, Turin TC. Social media in communicating health information: an analysis of facebook groups related to hypertension. Prev Chronic Dis. 2015 Jan 29;12:E11. doi: 10.5888/pcd12.140265. https://www.cdc.gov/pcd/issues/2015/14_0265.htm - DOI - PMC - PubMed
    1. Cohen RA, Adams PF. Use of health information technology among adults aged ≥18 years: national health interview survey (NHIS), United States, 2009 and 2011. MMWR. 2012 Aug 17;61(32):638. http://www.cdc.gov/mmwr/pdf/wk/mm6132.pdf

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