ArticleJournal of medical Internet research2015
Consumer Use of "Dr Google": A Survey on Health Information-Seeking Behaviors and Navigational Needs.
Article in Journal of medical Internet research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 4 of them syntheses that pooled it.
What it found
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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
91 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- The Relation Between eHealth Literacy and Online Health Information-Seeking Behavior: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- High-Quality eHealth Websites for Information on Endometriosis: Systematic Search.Journal of medical Internet research · 2024Pooled it
- The Relation Between eHealth Literacy and Health-Related Behaviors: Systematic Review and Meta-analysis.Journal of medical Internet research · 2023Pooled it
- Health Literacy in Web-Based Health Information Environments: Systematic Review of Concepts, Definitions, and Operationalization for Measurement.Journal of medical Internet research · 2018Pooled it
- Impact on Dietary Intake of Two Levels of Technology-Assisted Personalized Nutrition: A Randomized Trial.Nutrients · 2020Trial
- Patients' Use of the Internet to Find Reliable Medical Information About Minor Ailments: Vignette-Based Experimental Study.Journal of medical Internet research · 2019Trial
- Delivering effective genetic services for patients and families affected by cleft lip and/or palate.European journal of human genetics : EJHG · 2019Trial
- Barriers and Enablers to Integrating Patient-Generated Health Data in Shared Decision-Making From Health Care Professional and Patient Perspectives: Scoping Review.JMIR mHealth and uHealth · 2026Article
- Navigating Diabetes Management in the Digital Era: Scoping Review of Online Health Information-Seeking Behavior.Journal of medical Internet research · 2026Article
- Εhealth Literacy, Beliefs About Medication and Adherence in Older Adults with Chronic Diseases: A Cross-sectional Study.Advances in experimental medicine and biology · 2026Article
- AI in Psychiatric Education and Training From 2016 to 2024: Scoping Review of Trends.JMIR medical education · 2025Article
- What does Dr Google tell us about tendinopathies? An Italian analysis of online content.Pain management · 2025Article
- Review
- Evolving Health Information-Seeking Behavior in the Context of Google AI Overviews, ChatGPT, and Alexa: Interview Study Using the Think-Aloud Protocol.Journal of medical Internet research · 2025Article
- Global insights: fluorescence guided surgery.Surgical endoscopy · 2025Article
- A Mixed Methods Exploration of Social Media Use for Health Information in Under-Resourced Communities.International journal of environmental research and public health · 2025Article
- Evaluating User Interactions and Adoption Patterns of Generative AI in Health Care Occupations Using Claude: Cross-Sectional Study.Journal of medical Internet research · 2025Article
- eHealth literacy and cancer screening attitudes among chronic patients.Scientific reports · 2025Article
- A Future of Self-Directed Patient Internet Research: Large Language Model-Based Tools Versus Standard Search Engines.Annals of biomedical engineering · 2025Article
- A grounded theory study on medical students' proxy online health information seeking behavior.BMC public health · 2025Article
31 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
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Internet provides a platform to access health information and support self-management by consumers with chronic health conditions. Despite recognized barriers to accessing Web-based health information, there is a lack of research quantitatively exploring whether consumers report difficulty finding desired health information on the Internet and whether these consumers would like assistance (ie, navigational needs). Understanding navigational needs can provide a basis for interventions guiding consumers to quality Web-based health resources.
objectiveWe aimed to (1) estimate the proportion of consumers with navigational needs among seekers of Web-based health information with chronic health conditions, (2) describe Web-based health information-seeking behaviors, level of patient activation, and level of eHealth literacy among consumers with navigational needs, and (3) explore variables predicting navigational needs.
methodsA questionnaire was developed based on findings from a qualitative study on Web-based health information-seeking behaviors and navigational needs. This questionnaire also incorporated the eHealth Literacy Scale (eHEALS; a measure of self-perceived eHealth literacy) and PAM-13 (a measure of patient activation). The target population was consumers of Web-based health information with chronic health conditions. We surveyed a sample of 400 Australian adults, with recruitment coordinated by Qualtrics. This sample size was required to estimate the proportion of consumers identified with navigational needs with a precision of 4.9% either side of the true population value, with 95% confidence. A subsample was invited to retake the survey after 2 weeks to assess the test-retest reliability of the eHEALS and PAM-13.
resultsOf 514 individuals who met our eligibility criteria, 400 (77.8%) completed the questionnaire and 43 participants completed the retest. Approximately half (51.3%; 95% CI 46.4-56.2) of the population was identified with navigational needs. Participants with navigational needs appeared to look for more types of health information on the Internet and from a greater variety of information sources compared to participants without navigational needs. However, participants with navigational needs were significantly less likely to have high levels of eHealth literacy (adjusted odds ratio=0.83, 95% CI 0.78-0.89, P<.001). Age was also a significant predictor (P=.02).
conclusionsApproximately half of the population of consumers of Web-based health information with chronic health conditions would benefit from support in finding health information on the Internet. Despite the popularity of the Internet as a source of health information, further work is recommended to maximize its potential as a tool to assist self-management in consumers with chronic health conditions.
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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.