Background: The rapid and widespread development of mass media sources including the Internet is occurring worldwide. Users are being confronted with a flood of health information through a wide availability of sources. Studies on how the availability of health information has triggered users' interest in utilizing health care services remain limited within the Vietnamese population.
Objective: This study examined the associations between the wider availability of sources for health information and health care utilization in Vietnam after adjusting for potential confounding variables.
Methods: The data for this study were drawn from a cross-sectional study conducted over a 6-month period in Hue, a city in central Vietnam. The participants were 993 randomly selected adults aged between 18 and 60 years. Information was collected through face-to-face interviews on the types of information sources that were consulted, including traditional media (television), Internet, and health education courses, as well as the impact of such information on health care use (emergency department visits, hospitalizations, doctor visits). Multivariable logistic regression analyses were performed at a 95% confidence level.
Results: The prevalence of watching television, using the Internet, and attending health education courses to obtain health information were 50.9% (505/993), 32.9% (327/993), and 8.7% (86/993), respectively. After further adjustments for self-reported health status, the presence of health insurance, and monthly income, respondents who watched television and used the Internet to obtain health information were 1.7 times more likely to visit a doctor (television: adjusted odds ratio [AOR] 1.69, 95% CI 1.30-2.19; Internet: AOR 1.64, 95% CI 1.23-2.19), and also significantly associated with inpatient hospitalization (P=.003).
Conclusions: The use of widely available mass media sources (eg, television and the Internet) to obtain health information was associated with higher health care utilization. How this interest in health-related information can be used so that it will have a beneficial effect on care-seeking behavior should be a topic of concern to further health promotion in developing countries.
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http://dx.doi.org/10.2196/jmir.8328 | DOI Listing |
Comput Biol Med
January 2025
Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32610, United States; Department of Medicine, University of Florida, Gainesville, FL, 32610, United States; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, 32610, United States; Intelligent Clinical Care Center, University of Florida, Gainesville, FL, 32610, United States. Electronic address:
Retinal image registration is essential for monitoring eye diseases and planning treatments, yet it remains challenging due to large deformations, minimal overlap, and varying image quality. To address these challenges, we propose RetinaRegNet, a multi-stage image registration model with zero-shot generalizability across multiple retinal imaging modalities. RetinaRegNet begins by extracting image features using a pretrained latent diffusion model.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Background: Although existing disease preparedness and response frameworks provide guidance about strengthening emergency response capacity, little attention is paid to health service continuity during emergency responses. During the 2014 Ebola outbreak, there were 11,325 reported deaths due to the Ebola virus and yet disruption in access to care caused more than 10,000 additional deaths due to measles, HIV/AIDS, tuberculosis, and malaria. Low- and middle-income countries account for the largest disease burden due to HIV, tuberculosis, and malaria and yet previous responses to health emergencies showed that HIV, tuberculosis, and malaria service delivery can be significantly disrupted.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Hospital Administration, Ramaiah Memorial Hospital, Bengaluru, Karnataka, India.
Background: Monitoring vital signs in hospitalized patients is crucial for evaluating their clinical condition. While early warning scores like the modified early warning score (MEWS) are typically calculated 3 to 4 times daily through spot checks, they might not promptly identify early deterioration. Leveraging technologies that provide continuous monitoring of vital signs, combined with an early warning system, has the potential to identify clinical deterioration sooner.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Institute of Nursing Science, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Background: Health care systems and the nursing profession worldwide are being transformed by technology and digitalization. Nurses acquire digital competence through their own experience in daily practice, but also from education and training; nursing education providers thus play an important role. While nursing education providers have some level of digital competence, there is a need for ongoing training and support for them to develop more advanced skills and effectively integrate technology into their teaching.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Vibrent Health, Inc, Fairfax, VA, United States.
Background: Longitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used.
Objective: We sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal data, and engage participants from diverse backgrounds in the National Institutes of Health's (NIH) All of Us Research Program (AOU).
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