ArticleBMC medical informatics and decision making2016
Characterizing internet health information seeking strategies by socioeconomic status: a mixed methods approach.
Article in BMC medical informatics and decision making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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
30 citing papers in PubMed.
- Individual Characteristics in the Comprehension of Pandemic Video Communication: Randomized Controlled Between-Subjects Design.Journal of medical Internet research · 2024Trial
- Patients' Use of the Internet to Find Reliable Medical Information About Minor Ailments: Vignette-Based Experimental Study.Journal of medical Internet research · 2019Trial
- Prevalence, determinants, and Help-Seeking behavior for major depressive disorder symptoms in the Lesotho population: A multilevel analysis from the Lesotho demographic and health survey 2023-24.Social psychiatry and psychiatric epidemiology · 2026Article
- Evaluating the quality and readability of AI-generated information on adenomyosis: a comparative analysis of ChatGPT and deepseek regarding query-model consistency.Frontiers in public health · 2026Article
- Does the Quality and Readability of Information Related to Varicocele Obtained from ChatGPT 4.0 Remain Consistent Across Different Models of Inquiry?The world journal of men's health · 2026Article
- Differences in eHealth Access, Use, and Perceived Benefit Between Different Socioeconomic Groups in the Dutch Context: Secondary Cross-Sectional Study.JMIR formative research · 2025Article
- Article
- Health literacy of trans and gender diverse individuals -a cross sectional survey in Germany.BMC public health · 2024Article
- Participatory Design and Evaluation of the "Stem Cells Australia" Website for Delivering Complex Health Knowledge: Mixed Methods Study.Journal of medical Internet research · 2023Article
- The longitudinal associations between perceived importance of the internet and depressive symptoms among a sample of Chinese adults.Frontiers in public health · 2023Article
- Impacts of Internet Use on Chinese Patients' Trust-Related Primary Healthcare Utilization.Healthcare (Basel, Switzerland) · 2022Article
- Health Information Sourcing and Health Knowledge Quality: Repeated Cross-sectional Survey.JMIR formative research · 2022Article
- Laypeople's Online Health Information Search Strategies and Use for Health-Related Problems: Cross-sectional Survey.Journal of medical Internet research · 2022Article
- The Impact of Student-Faculty Collaborative Clinics on Patients' Health Seeking Behaviors in Underserved Communities.Journal of community health · 2022Article
- Online health information seeking, health literacy, and human papillomavirus vaccination among transgender and gender-diverse people.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- The effectiveness of video animations as information tools for patients and the general public: A systematic review.Frontiers in digital health · 2022Review
- A data process of human knee joint kinematics obtained by motion-capture measurement.BMC medical informatics and decision making · 2021Article
- Predictors of Mind-Body Therapy Use Among Sexual Minority Older Adults.Journal of alternative and complementary medicine (New York, N.Y.) · 2021Article
- The costs outweigh the benefits: seeing side-effects online may decrease adherence to statins.BMC medical informatics and decision making · 2020Article
- Effect of socioeconomic status on the healthcare-seeking behavior of migrant workers in China.PloS one · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundThe Internet is valuable for those with limited access to health care services because of its low cost and wealth of information. Our objectives were to investigate how the Internet is used to obtain health-related information and how individuals with differing socioeconomic resources navigate it when presented with a health decision.
methodsStudy participants were recruited from public settings and social service agencies. Participants listened to one of two clinical scenarios - consistent with influenza or bacterial meningitis - and then conducted an Internet search. Screen-capture video software captured the Internet search. Participant Internet search strategies were analyzed and coded for pre- and post-Internet search guess at diagnosis and information seeking patterns. Individuals who did not have a college degree and were recruited from locations offering social services were categorized as "lower socioeconomic status" (SES); the remainder was categorized as "higher SES." Participants were 78 Internet health information seekers, ranging from 21-35 years of age, who experienced barriers to accessing health care services.
resultsLower-SES individuals were more likely to use an intuitive, rather than deliberative, approach to Internet health information seeking. Lower- and higher-SES participants did not differ in the tendency to make diagnostic guesses based on Internet searches. Lower-SES participants were more likely than their higher-SES counterparts to narrow the scope of their search.
conclusionsOur findings suggest that individuals with different levels of socioeconomic status vary in the heuristics and search patterns they rely upon to direct their searches. The influence and use of credible information in the process of making a decision is associated with education and prior experiences with healthcare services. Those with limited resources may be disadvantaged when turning to the Internet to make a health decision.
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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.