ArticleMedical care2019
Health Information-seeking Behaviors and Preferences of a Diverse, Multilingual Urban Cohort.
Article in Medical care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 42 citations in OpenAlex.
- Digital communication tools used to promote healthy lifestyles: an overview of reviews from the BRIDGE project.Frontiers in digital health · 2026Review
- Determinants of health information seeking behavior among people at risk of statelessness in Ghana.Scientific reports · 2025Article
- Online Health Information-Seeking Behaviors Among the Chongqing Population: Cross-Sectional Questionnaire Study.JMIR formative research · 2025Article
- Article
- Which educational messengers do medical students prefer for receiving healthinformation? Development and psychometrics of using health messengers questionnaire.BMC public health · 2024Article
- Development of a Symptom Self-Management Guide for Older Chinese Americans Kidney Receiving Replacement Therapy.Nursing research and practice · 2024Article
- Colorectal cancer screening disparities in Asian Americans: the influences of patient-provider communication and social media use.Cancer causes & control : CCC · 2023Article
- Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries.NPJ digital medicine · 2023Review
- Impact of language preference and health literacy on health information-seeking experiences among a low-income, multilingual cohort.Patient education and counseling · 2022Article
- Socioeconomic status and colorectal cancer screening behaviors in a vulnerable multiethnic population.Ethnicity & health · 2022Article
- Health information-seeking behavior associated with linguistic group membership: latent class analysis of a population-based cross-sectional survey in Italy, August to September 2014.Archives of public health = Archives belges de sante publique · 2022Article
- From Cancer Epidemiology to Policy and Practice: the Role of a Comprehensive Cancer Center.Current epidemiology reports · 2022Review
- Social Media and the Transformation of the Physician-Patient Relationship: Viewpoint.Journal of medical Internet research · 2021Article
- Frequency of Online Health Information Seeking and Types of Information Sought Among the General Chinese Population: Cross-sectional Study.Journal of medical Internet research · 2021Article
- Mobile health strategies for blood pressure self-management in urban populations with digital barriers: systematic review and meta-analyses.NPJ digital medicine · 2021Review
- Patient interest in and barriers to telemedicine video visits in a multilingual urban safety-net system.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Communication About Health Information Technology Use Between Patients and Providers.Journal of general internal medicine · 2020Article
- Initial Glycemic Control and Care Among Younger Adults Diagnosed With Type 2 Diabetes.Diabetes care · 2020Article
- The Use of Technology for Communicating With Clinicians or Seeking Health Information in a Multilingual Urban Cohort: Cross-Sectional Survey.Journal of medical Internet research · 2020Article
- Advancing Cancer Control in San Francisco: Cancer Screening in Under-Represented Populations.American journal of preventive medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
introductionIn order to address health disparities, it is important to understand how vulnerable individuals seek information. This study used an adapted version of the Health Information National Trends Survey (HINTS) administered in English, Spanish, and Chinese to describe the behaviors and preferences of a diverse group of vulnerable urban residents.
methodsWe administered a modified HINTS survey in English, Spanish, and Chinese and used purposive sampling to ensure 50% were non-English speakers evenly divided between Spanish and Chinese speakers, and 50% of English-speakers identified as Black. We used multivariable logistic regression to determine characteristics associated with sources used for health information and preferences for delivery of health information.
resultsAmong 1027survey respondents (514 English, 256 Spanish, 260 Chinese), 55% had adequate health literacy, and 50% reported household income <$20,000, but 77% reported owning a smartphone. A plurality sought health information on the Internet (39%) or from a health care provider (36%). In multivariable analyses, smartphone ownership predicted higher odds of seeking health information on the Internet [odds ratio, (OR) 2.98; 95% confidence interval (CI), 1.81-4.91]. Participants most preferred email (41%) and brochures (40%) for delivery of health information, but non-English survey respondents were less likely to prefer email: Spanish (OR, 0.30; 95% CI, 0.11-0.83) and Chinese (OR, 0.25; 95% CI, 0.09-0.71). Smartphone ownership predicted an email preference (OR, 2.19; 95% CI, 1.43-3.36).
conclusionsAmong vulnerable populations, smartphone ownership and language preferences impact preferences for seeking and receiving health information. These preferences need to be considered in designing health messages.
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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.