ArticleJournal of medical Internet research2019
Profiles of a Health Information-Seeking Population and the Current Digital Divide: Cross-Sectional Analysis of the 2015-2016 California Health Interview Survey.
Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
63 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evidence and implication of interventions across various socioecological levels to address pre-exposure prophylaxis uptake and adherence among men who have sex with men in the United States: a systematic review.AIDS research and therapy · 2022Pooled it
- Outcomes among patients with peripheral artery disease in the Aspirin Dosing: A Patient-Centric Trial Assessing Benefits and Long-Term Effectiveness (ADAPTABLE) study.Vascular medicine (London, England) · 2023Trial
- Impact of Pre-visit Contextual Data Collection on Patient-Physician Communication and Patient Activation: a Randomized Trial.Journal of general internal medicine · 2021Trial
- Comparing Characteristics of Patients Who Connect Their iPhones to an Electronic Health Records System Versus Patients Who Connect Without Personal Devices: Cohort Study.Journal of medical Internet research · 2019Trial
- Development and Preliminary Evaluation of the OCODES Digital Strategy in Response to Health Misinformation: Nominal Group Technique and Retrospective Usability Evaluation Study.JMIR formative research · 2026Article
- Health literacy and digital health service use among community residents in Taiwan: implications from a pilot assessment using the HLS-SF12.BMC public health · 2026Article
- Health information literacy mediates the relationship between active information seeking and HPV-related knowledge among female undergraduates: the moderating role of information channel characteristics.Frontiers in public health · 2026Article
- Health Information Seeking and Behavior in the Korean Population During the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2025Article
- Addressing Digital Disparities in Alzheimer Disease by Improving Access to Alzheimer Resources for Spanish-Speaking Latino or Latina Individuals in Los Angeles County: Mixed Methods Study.Journal of medical Internet research · 2025Article
- Spatial distribution of internet use and its determinants among reproductive age women in Jordan evidence 2023 DHS: a multilevel mixed effect analysis.BMC public health · 2025Article
- Measuring Digital Health Literacy in Older Adults: Development and Validation Study.Journal of medical Internet research · 2025Article
- Health-related resources and social support as enablers of digital device use among older Finns.Journal of public health (Berlin, Germany) · 2025Article
- Impact of health information seeking behavior and digital health literacy on self-perceived health and depression symptoms among older adults in the United States.Scientific reports · 2024Article
- Ever Use of Telehealth in Nebraska by March 2021: Cross-Sectional Analysis.Journal of medical Internet research · 2024Article
- Older adults' preferences in the utilization of digital health and social services: a qualitative analysis of responses to open-ended questions.BMC health services research · 2024Article
- Social media use and mental health among older adults with multimorbidity: the role of self-care efficacy.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- User profiles in digitalized healthcare: active, potential, and rejecting - a cross-sectional study using latent class analysis.BMC health services research · 2024Article
- Internet use, spatial variation and its determinants among reproductive age women in Ethiopia.BMC public health · 2024Article
- Tailoring Household Disaster Preparedness Interventions to Reduce Health Disparities: Nursing Implications from Machine Learning Importance Features from the 2018-2020 FEMA National Household Survey.International journal of environmental research and public health · 2024Article
- Online Health Information Seeking and Preventative Health Actions: Cross-Generational Online Survey Study.Journal of medical Internet research · 2024Article
3 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
backgroundInternet use for health information is important, given the rise of electronic health (eHealth) that integrates technology into health care. Despite the perceived widespread use of the internet, a persistent "digital divide" exists in which many individuals have ready access to the internet and others do not. To date, most published reports have compared characteristics of internet users seeking health information vs nonusers. However, there is little understanding of the differences between internet users seeking health information online and users who do not seek such information online. Understanding these differences could enable targeted outreach for health interventions and promotion of eHealth technologies.
objectiveThis study aims to assess population-level characteristics associated with different types of internet use, particularly for seeking online health information.
methodsThe 2015-2016 California Health Interview Survey datasets were used for this study. Internet use was classified as never used the internet (Never use), ever used the internet but not to search for health information in the last 12 months (Use not for health), and ever used the internet and have used it to search for health information in the last 12 months (Use for health). Weighted multinomial logistic regression was used to assess sociodemographic and health characteristics associated with types of internet use. Findings are reported as odds ratios (ORs) with 95% CIs.
resultsAmong 42,087 participants (weighted sample of 29,236,426), 19% reported Never Use of the internet, 27.9% reported Use not for health, and 53.1% reported Use for health. Compared to Never Use individuals, Use for health individuals were more likely to be younger (OR: 0.1, 95% CI 0.1-0.2 for ≥60 years vs <60 years), female (OR: 1.6, 95% CI 1.3-1.9 compared to males), and non-Hispanic white (OR: 0.54, 95% CI 0.4-0.7 for Latinos and OR: 0.2, 95% CI 0.2-0.4 for African Americans) and have a higher socioeconomic status (>400% of Federal Poverty Guidelines; OR: 1.3, 95% CI 1.4-2.4). Overall, characteristics for the Use not for health and Use for health groups were similar, except for those with lower levels of education and respondents not having visited a physician in the last year. For these two characteristics, the Use not for health group was more similar to the Never Use group.
conclusionsOur findings indicate that a digital divide characterized by sociodemographic and health information exists across three types of users. Our results are in line with those of previous studies on the divide, specifically with regard to disparities in use and access related to age, race/ethnicity, and socioeconomic status. Disparities in online health-seeking behavior may reflect existing disparities in health care access extending into a new era of health technology. These findings support the need for interventions to target internet access and health literacy among Never Use and Use not for health groups.
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