Health Communication最新文献

A healthy lifestyle, particularly having a balanced diet, regular physical activity, and abstaining from alcohol and smoking, is important for the recovery process of cancer survivors. The extent and form in which lifestyle information is provided by healthcare providers varies substantially, which could leave many patients with unmet information needs. To better understand current practices and areas for improvement in communicating about these health behaviors, we explored survivors' experiences and preferences regarding communication. Using deductive and inductive content analysis, we analyzed questionnaire responses from survivors with various types of cancers. The results revealed the experiences with information provision, and barriers and facilitators to adhere to treatments. Respondents reported having to search for information themselves, which could lead to negative feelings and neglecting vulnerable groups of patients. Most respondents preferred a multimodal distribution of information and receival of recommendations at the beginning of treatment. Additionally, respondents preferred personalized and non-coercive messages about their lifestyle. The results of this study provide insights into current shortcomings and points for improvement of healthy lifestyle communication practices in oncology. Understanding patients' communication preferences and ways in which they can be implemented could lead to adherence to health behaviors, potentially improving long-term survivorship outcomes. Future research could explore whether tailoring recommendations to individual needs and delivering information at critical stages can enhance patient satisfaction and engagement.

Generative artificial intelligence (AI) tools, such as ChatGPT, have become a convenient source of information. This study proposes and tests a model predicting intentions to use ChatGPT for health information and examines whether significant predictors differ by condition severity. The model included the original predictors of the unified theory of acceptance and use of technology (UTAUT). Guided by channel complementarity theory, which highlights source characteristics in a multisource information-seeking environment, dissatisfaction with human healthcare services and perceived credibility of ChatGPT were added to the model. Performance expectancy, social influence, and perceived credibility predicted attitudes toward using ChatGPT, which in turn predicted usage intentions, while effort expectancy was not significant. Condition severity moderated the effect of dissatisfaction with healthcare services, predicting greater intentions to use ChatGPT for mild conditions but not severe ones. This study extends UTAUT to health information seeking and discusses theoretical and practical implications for generative AI use in healthcare.

Increasingly, parents are turning to digital and social media for infant health information. Studies have called for more research investigating how parental characteristics influence digital media information seeking because these same characteristics impact approaches to infant caregiving and decision-making. Drawing on the selective exposure self- and affect- management model, the current study investigated how two common characteristics of infant parenting approaches (i.e. routine and nurturance) influenced digital and social media information-seeking behaviors in a cross-sectional survey (N = 124) with mothers of infants 12 months or younger. Key findings revealed that routine orientation positively predicted searching for topics related to naps, sleep training, developmental milestones, and nurturance negatively predicted seeking topics of sleep training, crying, and infant bonding. Further, nuanced differences in how routine orientation and nurturance influence social media behaviors may exist. Being routine-oriented predicted asking questions in chats, posts, and forums on social media. Being high in nurturance predicted reading about other parents' personal experiences and using social media to exchange opinions and experiences with other parents. Theoretical and practical implications are discussed.

The increasing popularity of electronic vaping products (EVPs) or Electronic Nicotine Delivery Systems (ENDS) among youth and young adults has increased health risk concerns, with long-term implications. This qualitative analysis presents a comparison of messaging and motivators depicted in anti-tobacco advertising originating in the 1960s, with modern cessation advertising attempting to reduce the use of EVPs. Content analysis on 100 YouTube videos indicated only 6% of the EVP content framed the social consequences of nicotine usage, while 26% of the tobacco content depicted social consequences as a detrimental outcome. EVP content did not promote financial aspects or the health of others as motivators. Those motivators were depicted as low, but not completely absent, within the tobacco content. Sentiment analysis specified the most significant difference between EVP and tobacco advertisements were in the negative adjective component, in which the pre-EVP transcript represented 0.27, and the post-EVP at 1.13. WordStat content analysis demonstrated that pre-EVP tobacco messaging held more direct reference to the nicotine user, such as "natural born smoker" and "grow up fast." Common sentiment for post-EVP campaigns were more affective, framing EVP as "depression sticks" associated with depression and anxiety. A low level of content diversity leads to a three-dimensional recommendation: User health outcomes should be retained while messaging specific to the potential health risk of non-users ingesting vape residue should be promoted. Finally, additional messaging should verify that vaping is a financially demanding habit.

Although rates in the United States have declined significantly since the 1990s, the U.S. continues to have among the highest teen birth rates in the developed world, and recent policy changes in the U.S. warrant increased attention to pregnancy prevention efforts. This research employed a computational approach to analyze social media messages about a pregnancy prevention campaign with focus on analyzing responsibility attribution and frames that might lead to potential stigmatization. Original posts from the Power to Decide campaign's Twitter account posted from 2017 to 2022 (N = 7,770) were analyzed. Automated topic modeling identified five topics extracted from the data: access, encouraging conversations, pregnancy prevention programs, voter voice, and barriers. A subsequent thematic analysis was conducted to uncover sub-themes that provide insight into each topic. Results revealed an emphasis on social responsibility in the organization's social media messaging, reflecting the multiple stakeholders the organization targets in its social media messaging, which are not limited to the at-risk population (i.e. teens), and to whom structural solutions to teen pregnancy prevention can be promoted.

This study examines agenda setting, framing, and the concepts of social media advocacy and mobilizing information related to the Violence Against Women Act through social network analysis and topic modeling of big data. Tweets on the Violence Against Women Act between 2019 and 2022 were examined. The network analysis showed the predictive effects of the issue ownership network on policy initiatives. The importance of addressing urgency, key policy details, and blame attribution related to an issue was also found. Mobilizing information through hashtags and hyperlinks was effective when they were symbolic and simple. Theoretical and practical implications are discussed.

The spread of misinformation is a growing problem, particularly in light of the COVID-19 pandemic. Implementing multiple psychological interventions simultaneously is a potential approach to countering misinformation, but little is known about the effectiveness of combined interventions. Based on accuracy nudge theory, which posits that inattention to accuracy is the primary driver of misinformation sharing, we hypothesized that accuracy nudges and warning labels would complement each other to enhance their effectiveness in reducing the intention to share misinformation. To investigate, we conducted an online survey with a sample of 1,399 U.S. adults. The results showed that the effect of the accuracy nudge alone was significantly enhanced when combined with the warning label; however, the effect of the warning label alone was not significantly enhanced when combined with the accuracy nudge, suggesting that they do not share a mutually complementary relationship. These findings remained consistent regardless of whether the intervention effects were assessed using sharing intentions for fake headlines or the difference in sharing intentions between fake and real headlines. We discuss potential explanations for and practical implications of these findings.

(Chronic) Lyme disease/post-treatment Lyme disease syndrome ([C]LD/PTLDS) is a post-infection illness that remains contested, resulting in a divergent epistemological landscape (i.e., biomedicine versus alternative medicine). Consequently, (C)LD/PTLDS patients exhaust their (health)care options in their search for symptom relief, falling into cycles of starting and stopping (health)care-seeking. This meta-synthesis reviewed 13 qualitative interview studies representing the (health)care-seeking experiences of 216 (C)LD/PTLDS patients across five countries (i.e., United States, Canada, Netherlands, Australia, France) to examine how communication catalyzes patients' (health)care-seeking behaviors. This study proposes a model of (health)care (dis)engagement, identifying communication as a motor moving patients through (health)care-seeking both within and outside of biomedical models of care. This model extends our understanding of communicative (dis)enfranchisement processes and understandings of why patients disengage and reengage in healthcare-seeking behaviors. Theoretical and practical implications and future directions are discussed.

This study employs the theory of planned behavior (TPB) to consider the efficacy of sport-related concussion (SRC) education materials among collegiate club sport athletes. In particular, variations in the targeted behavior (i.e. self-reporting SRC symptoms or other reporting SRC signs in teammates), format (i.e. digital text or video), and the presence of a personal narrative were considered. Data obtained from 443 club sport athletes in contact or semi-contact sports revealed several noteworthy findings: (a) subjective norms were the best predictor of self-reporting intentions and the only predictor of other-reporting intentions, (b) subjective norms were not directly influenced by education materials, and (c) video-based education materials were beneficial for promoting favorable self-reporting attitudes and subsequently self-reporting intentions. These findings have theoretical implications for TPB that highlight the role of specific health contexts and practical significance for sport and health practitioners seeking to promote SRC reporting.

Effective nurse-to-family communication is critical in intensive care units (ICUs), where high acuity and emotional complexity demand rapid trust-building and clear information exchange. This qualitative study explored ICU nurse leaders' perceptions of the COMFORT communication intervention, a structured, theory-driven model designed to enhance relationship-centered communication with families. Seventeen nurse leaders from a statewide health system participated in virtual focus groups assessing the COMFORT model's seven components of COMFORT: Connect, Options, Making Meaning, Family Caregiver, Openings, Relating, and Team for practicability, appeal, and relevance within ICU workflows. Directed content analysis revealed strong support for the Connect, Family Caregivers, and Openings components, emphasizing their foundational role in establishing rapport and supporting emotionally charged conversations. Components such as Relating and Options were perceived as less feasible due to time constraints and staff discomfort with sensitive discussions. Leaders recommended a phased, scaffolded implementation strategy using mobile technology to promote accessibility and just-in-time learning. Emphasis was placed on integrating training into onboarding and leveraging unit workflows to sustain communication practice over time. Findings suggest that nurse leaders view the COMFORT model as a practical and scalable framework to strengthen nurse-to-family communication. The study highlights the importance of tailoring communication interventions to clinical realities and leveraging leadership support to foster trust and engagement in critical care contexts.