The sustainability of public health practices requires collaboration between the government and its citizens. On the government's side, social media can provide a conduit for communicating health risk information in an effective and timely fashion, while also engaging citizens in informed decision-making. On the citizen's side, information communication technology (ICT)-based practices cannot function unless citizens recognize and act on their responsibility to actively engage with government social media platforms. Despite an increasing interest in understanding the adoption of ICT practices and e-government services for health risk communication, there remains a crucial need for a comprehensive framework to explain which factors determine citizen use of digital government resources. The purpose of this study is to investigate how to increase government accountability for motivating citizens to engage in ICT-based health risk communication, thereby attaining sustainable public health practices through collaborative governance. By integrating trust and health risk information into the e-government adoption model (GAM), this research examines factors that influence citizens' likelihood of using government social media resources. Survey data from 700 Korean citizens were analyzed using structural equation modeling. The results indicated that individuals with higher social media competency are more likely to (a) seek risk information through social media and (b) perceive the government's social media sites as easy to use. Consistent with the GAM, intentions to use the government's social media sites for information and interactions appear to increase as citizens perceive more value in using them regarding information quality, ease of use, functional benefit, and security. Furthermore, perceived trust in the government's social media resources appears to function as a mediator of this process. Initial trust in the government is an important determinant of perceptions of its digital resources. Citizens who trust the government tend to evaluate new initiatives positively and are more likely to accept and make use of them. The results of this study can inform policy design and implementation by elucidating the mechanisms that determine citizens' adoption and usage of digital government services. Theoretically, this work expands the GAM to include health risk communication and adds empirical evidence to the small yet growing body of knowledge of e-government initiatives. These findings also highlight the importance of public trust in the government, as this encourages citizens to seek health risk information and assistance from the government. Overall, the data and model generated in this investigation represent an important step toward the successful and sustainable modernization of public services.
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http://dx.doi.org/10.1016/j.giq.2018.12.008 | DOI Listing |
JMIR Form Res
December 2024
Department of Communication, Stanford University, Stanford, US.
Background: Contrary to popular concerns about the harmful effects of media use on mental health, research on this relationship is ambiguous, stalling advances in theory, interventions, and policy. Scientific explorations of the relationship between media and mental health have mostly found null or small associations, with the results often blamed on the use of cross-sectional study designs or imprecise measures of media use and mental health.
Objective: This exploratory empirical demonstration aimed to answer whether mental health effects are associated with media use experiences by (1) redirecting research investments to granular and intensive longitudinal recordings of digital experiences to build models of media use and mental health for single individuals over the course of one entire year, (2) using new metrics of fragmented media use to propose explanations of mental health effects that will advance person-specific theorizing in media psychology, and (3) identifying combinations of media behaviors and mental health symptoms that may be more useful for studying media effects than single measures of dosage and affect or assessments of clinical symptoms related to specific disorders.
J Med Internet Res
January 2025
Black Dog Institute, University of New South Wales, Sydney, Australia.
Background: With increasing adoption of remote clinical trials in digital mental health, identifying cost-effective and time-efficient recruitment methodologies is crucial for the success of such trials. Evidence on whether web-based recruitment methods are more effective than traditional methods such as newspapers, media, or flyers is inconsistent. Here we present insights from our experience recruiting tertiary education students for a digital mental health artificial intelligence-driven adaptive trial-Vibe Up.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Healthcare Economics and Quality Management, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Background: The COVID-19 pandemic, declared in March 2020, profoundly affected global health, societal, and economic frameworks. Vaccination became a crucial tactic in combating the virus. Simultaneously, the pandemic likely underscored the internet's role as a vital resource for seeking health information.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
School of Public Health, University of Haifa, Haifa, Israel.
Background: Increasing life expectancy has led to a rise in nursing home admissions, a context in which older adults often experience chronic physical and mental health conditions, chronic pain, and reduced well-being. Nonpharmacological approaches are especially important for managing older adults' chronic pain, mental health conditions (such as anxiety and depression), and overall well-being, including sensory stimulation (SS) and therapist support (TS). However, the combined effects of SS and TS have not been investigated.
View Article and Find Full Text PDFCyberpsychol Behav Soc Netw
January 2025
Israel-School of Social Work, Ariel University, Ariel, Israel.
In today's sociocultural milieu, characterized by pervasive social media and evolving conceptions of masculinity, this study examines the interplay among loneliness, social media addiction, self-reliance, and life satisfaction across Generations (Gen) X, Y, and Z. Employing a comprehensive model, the study explores social media addiction as a mediator between loneliness and life satisfaction, with a focus on the moderating role of the pivotal masculine trait of self-reliance in the loneliness-social media addiction relationship. Based on an online survey of 775 Israeli men aged 18-58, the findings reveal unique generational patterns.
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