ArticleJournal of medical Internet research2014
Predictors of eHealth usage: insights on the digital divide from the Health Information National Trends Survey 2012.
Article in Journal of medical Internet research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06867081 (Effectiveness of a Customized Digital Platform to Increase Coordination of Care and Uptake of Evidence-based Practices), which is not on this map. Cited by 485 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effectiveness of a Customized Digital Platform to Increase Coordination of Care and Uptake of Evidence-based Practices: a Protocol for a Stepped-wedge Cluster Randomized Trial in Quebec
Who cites it
485 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Understanding Inequalities in Mobile Health Utilization Across Phases: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Digital horizons in non-communicable disease care: a bibliometric exploration of intervention impact and innovation.Frontiers in digital health · 2025Pooled it
- Facilitators of and Barriers to Accessing Hospital Medical Specialty Telemedicine Consultations During the COVID-19 Pandemic: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Sociotechnical Factors Affecting Patients' Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis.JMIR mHealth and uHealth · 2022Pooled it
- Recommendations for Defining and Reporting Adherence Measured by Biometric Monitoring Technologies: Systematic Review.Journal of medical Internet research · 2022Pooled it
- The effectiveness of digital interventions for increasing physical activity in individuals of low socioeconomic status: a systematic review and meta-analysis.The international journal of behavioral nutrition and physical activity · 2021Pooled it
- Population reach, feasibility and acceptability of digital therapeutics for smoking cessation among people living with HIV: Results of the Quitting Matters pilot trial.Drug and alcohol dependence · 2026Trial
- Trial
- Enhanced Participation in Diabetes Screening and Care After Gestational Diabetes Through Community Health Workers: Results from the Es Mejor Saber Randomized Controlled Trial.Journal of immigrant and minority health · 2024Trial
- The impact of a family web-based nutrition intervention to increase fruit, vegetable, and dairy intakes: a single-blinded randomized family clustered intervention.Nutrition journal · 2022Trial
- Dose-Response Effects of Patient Engagement on Health Outcomes in an mHealth Intervention: Secondary Analysis of a Randomized Controlled Trial.JMIR mHealth and uHealth · 2022Trial
- Impact of Pre-visit Contextual Data Collection on Patient-Physician Communication and Patient Activation: a Randomized Trial.Journal of general internal medicine · 2021Trial
- Quality of life in women with urinary incontinence seeking care using e-health.BMC women's health · 2021Trial
- Monitoring Digital Health Equity Across the Digital Front Door: U.S. Trends in Broadband Access, Portal Offers, and Patient IT Use in 2017-2020.Healthcare (Basel, Switzerland) · 2026Article
- Covert Promotional Cancer-Related Content in Korean Search Engines: Computational Content Analysis of Naver and Google.Journal of medical Internet research · 2026Article
- Age-Related Patterns in Health Literacy and Health Information-Seeking Behavior in a Korean Population: Cross-Sectional Study.JMIR public health and surveillance · 2026Article
- Patterns of Telemedicine Use and the Digital Divide Among Adults in Poland's Postpandemic Era: Nationwide Cross-Sectional Survey.Journal of medical Internet research · 2026Article
- Predictors of perceived value of multi-cancer early detection testing: a national PRECEDE-PROCEED framework study.Cancer causes & control : CCC · 2026Article
- Digital engagement and online health information seeking behaviour among older adults: findings from Türkiye.BMC geriatrics · 2026Article
- Cancer information seeking and awareness of multi-cancer detection tests among U.S. adults: a cross-sectional study.Cancer causes & control : CCC · 2026Article
425 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundRecent eHealth developments have elevated the importance of assessing the extent to which technology has empowered patients and improved health, particularly among the most vulnerable populations. With noted disparities across racial and social groups in chronic health outcomes, such as cancer, obesity, and diabetes, it is essential that researchers examine any differences in the implementation, uptake, and impact of eHealth strategies across groups that bear a disproportionate burden of disease.
objectiveThe goal was to examine eHealth use by sociodemographic factors, such as race/ethnicity, socioeconomic status (SES), age, and sex.
methodsWe drew data from National Cancer Institute's 2012 Health Information National Trends Survey (HINTS) (N=3959) which is publicly available online. We estimated multivariable logistic regression models to assess sociodemographic predictors of eHealth use among adult Internet users (N=2358) across 3 health communication domains (health care, health information-seeking, and user-generated content/sharing).
resultsAmong online adults, we saw no evidence of a digital use divide by race/ethnicity. However, there were significant differences in use by SES, particularly for health care and health information-seeking items. Patients with lower levels of education had significantly lower odds of going online to look for a health care provider (high school or less: OR 0.50, 95% CI 0.33-0.76) using email or the Internet to communicate with a doctor (high school or less: OR 0.46, 95% CI 0.29-0.72), tracking their personal health information online (high school or less: OR 0.53, 95% CI 0.32-0.84), using a website to help track diet, weight, and physical activity (high school or less: OR 0.64, 95% CI 0.42-0.98; some college: OR 0.67, 95% CI 0.49-0.93), or downloading health information to a mobile device (some college: OR 0.54, 95% CI 0.33-0.89). Being female was a consistent predictor of eHealth use across health care and user-generated content/sharing domains, whereas age was primarily influential for health information-seeking.
conclusionsThis study illustrates that lower SES, older, and male online US adults were less likely to engage in a number of eHealth activities compared to their counterparts. Future studies should assess issues of health literacy and eHealth literacy and their influence on eHealth engagement across social groups. Clinical care and public health communication efforts attempting to leverage Web 2.0 and 3.0 platforms should acknowledge differential eHealth usage to better address communication inequalities and persistent disparities in health.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.