ArticleJournal of medical Internet research2017
Comparison of Health Information Technology Use Between American Adults With and Without Chronic Health Conditions: Findings From The National Health Interview Survey 2012.
Article in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.
- Characteristics of the Measurement Tools for Assessing Health Information-Seeking Behaviors in Nationally Representative Surveys: Systematic Review.Journal of medical Internet research · 2021Pooled it
- A Randomized Trial to Train Vulnerable Primary Care Patients to Use a Patient Portal.Journal of the American Board of Family Medicine : JABFMTrial
- Listening to Patients' Voices on the Use of AI in Health Care: Cross-Sectional Study.Journal of medical Internet research · 2025Article
- Assessing Self-Help Orientation Among German Rehabilitation Clinics: Website Content Analysis.Journal of medical Internet research · 2025Article
- Health Information Technology Use among Foreign-Born Adults of Middle Eastern and North African Descent in the United States.Journal of immigrant and minority health · 2024Article
- Health information technology use among foreign-born adults of Middle Eastern and North African decent in the United States.Research square · 2023Article
- Information and Communication Technologies in Patients With Immune-Mediated Inflammatory Diseases: Cross-sectional Survey.Journal of medical Internet research · 2022Article
- Internet-Based Health Care Communication Among Cancer Survivors, 2011-2018 National Health Interview Survey.Preventing chronic disease · 2021Article
- Email Patient-Provider Communication and Cancer Screenings Among US Adults: Cross-sectional Study.JMIR cancer · 2021Article
- The current state and future of internet technology-based hypertension management in Japan.Hypertension research : official journal of the Japanese Society of Hypertension · 2021Review
- Use of eHealth by Patients With Rheumatoid Arthritis: Observational, Cross-sectional, Multicenter Study.Journal of medical Internet research · 2021Article
- Article
- An app for supporting older people receiving home care - usage, aspects of health and health literacy: a quasi-experimental study.BMC medical informatics and decision making · 2020Article
- Patient characteristics associated with objective measures of digital health tool use in the United States: A literature review.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Article
- Mobile Health Divide Between Clinicians and Patients in Cancer Care: Results From a Cross-Sectional International Survey.JMIR mHealth and uHealth · 2019Article
- Article
- Sepsis information-seeking behaviors via Wikipedia between 2015 and 2018: A mixed methods retrospective observational study.PloS one · 2019Observational
- Mobile Phone, Computer, and Internet Use Among Older Homeless Adults: Results from the HOPE HOME Cohort Study.JMIR mHealth and uHealth · 2018Article
- Assessment of Personal Health Care Management and Chronic Disease Prevalence: Comparative Analysis of Demographic, Socioeconomic, and Health-Related Variables.Journal of medical Internet research · 2018Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealth 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).
objectiveThe 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.
methodsA 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.
resultsIn 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.
conclusionsThis 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.
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