The Role of Pandemic Fatigue in Seeking and Avoiding Information on COVID-19 Among Young Adults.

The health information environment surrounding COVID-19 is complex, with varying and competing information. This study uses the risk information seeking and processing model (RISP) to examine COVID-19 information seeking and avoiding among young adults. Pandemic fatigue is also operationalized and tested as a more nuanced measure of negative affective response within the RISP framework. Survey results (N = 527) reveal pandemic fatigue predicts information seeking and avoidance, but may have a weaker influence on these outcome variables than the RISP's original construct of negative affective response. Additionally, the original RISP model achieved slightly more explanatory power in predicting risk information seeking than our revised RISP model, using pandemic fatigue as an alternative measure of negative affective response. These findings indicate that contemporary concepts such as pandemic fatigue may be incorporated into applications of the RISP model, thus allowing researchers to evaluate other types of negative affective responses to risk and further expanding the utility of the model. Theoretical implications and practical recommendations for public health officials and health care workers are discussed.

Communication Overload in Hospitals: Exploring Organizational Safety Communication, Worker Job Attitudes, and Communication Efficacy.

Hospitals represent complex organizations where a range of hospital workers, from physicians to administrators, encounter a deluge of information they must quickly process and act upon. New technologies implemented to streamline patient care, like electronic health records and wearable technologies, have both enhanced and complicated communicative exchanges between hospital workers and their organizations. Hospital workers feeling over saturated with workplace communication, and thus unable to effectively manage or interpret workplace messages, experience what has been labeled communication overload, which can negatively impact worker productivity and concentration. This study examines hospital workers (N = 303) in a Midwestern U.S. healthcare network, and uses structural equation modeling to offer a preliminary theoretical model that demonstrates the effects and outcomes of communication overload in high-risk organizations. The model offers theoretical implications through depicting communication overload as indirectly related to burnout, job satisfaction, and organizational identification through participation in decision-making and organizational safety climate. Results suggest that even if communication overload is an expected state in high-risk organizations, managers can prevent its negative effects on workers' job attitudes by providing workers opportunities to get involved in organizational decision-making and constructing a robust organizational safety climate. Finally, we suggest pairings of organizational safety communication channels and sources through which high quantities of safety information can be communicated without communicatively overloading workers.

Mediating Medical Marijuana: Exploring How Veterans Discuss Their Stigmatized Substance Use on Reddit.

This paper uses SIDE theory and an information seeking lens to examine the types of information and support messages (N = 126,977 posts) veterans seek on the social networking site Reddit regarding medical marijuana use. A combination of automated text analysis strategies paired with thematic analysis produced eight themes: Doctor Patient Conversations, Drug Test, Legality, Legal Policy, Prescription Drug Use/Other Substance Use, Point of View, Reasons for Use, and V.A. Findings reveal that a large portion of veterans discuss how medical marijuana can be used to self-medicate for a number of issues, including PTSD, anxiety, and sleep deprivation. Results also highlighted missing topics within veterans' conversations about medical marijuana use. For instance, veterans rarely discuss the strategies they use to talk to their doctor about their medical marijuana use. Practical implications and directions for future research are offered.

Using crowdsourced medicine to manage uncertainty on Reddit: The case of COVID-19 long-haulers.

OBJECTIVE: Causes of and treatments for long-COVID syndrome remain unknown. Drawing on uncertainty management theory (UMT), this study elucidates the communicative nature of crowdsourced medicine as a means by which COVID "long-haulers" respond to their poorly understood illness. METHODS: 31,892 posts on the long-haulers subreddit (r/covidlonghaulers) were analyzed, starting with its creation date, July 24th, 2020, until January 7, 2021. The Meaning Extraction Method was used to identify clusters of words that mathematically group together across the text observations. RESULTS: Analyses yielded 16 distinct factors of words, which we thematized based on their composition, the data, and UMT. The 16 themes encompassed symptoms (e.g., pain, respiratory, sensory), diagnostic concerns (testing, diagnosis), broad health concerns (immunity, physical activity, diet), chronicity, support, identity, and anxiety. CONCLUSION: Findings provide a succinct, yet robust set of themes reflecting the information-seeking (i.e., "This is happening to me") and support-seeking functions of long-haulers' talk (i.e., "Is this happening to you?"). Findings have implications for collective uncertainty management, online crowdsourcing, and patient advocacy. PRACTICE IMPLICATIONS: We recommend that health care providers employ sensitivity when addressing the anxiety that long-haulers are experiencing while also validating that their physical symptoms are real. Online communities help long-haulers manage their uncertainty.

Sending and Receiving Safety and Risk Messages in Hospitals: An Exploration into Organizational Communication Channels and Providers' Communication Overload.

This study explores hospital workers' experiences with workplace communication overload and its implications for effective safety and risk messaging in hospital organizations. We use a multi-step thematic analysis of interview (N = 12) and focus group (N = 8, 28 participants) data collected from hospital workers to analyze how they describe specific organizational communication channels influencing their communication overload. We specifically examine how workers' socially constructed channel affordances and constraints for sending/receiving safety information provide meaning to their communicatively overloaded states. Hospital workers explained that asynchronous channels such as e-mail and voicemail aggravated communication overload, while synchronous channels such as team huddles alleviated it. We discuss the implications of these results for the communication overload model by pointing to violations of communication channel preference and literature on the social affordances of communication channels. Study limitations and future directions are offered.

Heroes or Health Victims?: Exploring How the Elite Media Frames Veterans on Veterans Day.

We examine the frames the elite news media uses to portray veterans on and surrounding Veterans Day 2012, 2013, 2014, and 2015. We use mental health illness and media framing literature to explore how, why, and to what extent Veterans Day news coverage uses different media frames across the four consecutive years. We compiled a Media Coverage Corpora for each year, which contains the quotes and paraphrased remarks used in all veterans news stories for that year. In our primary study, we applied the meaning extraction method (MEM) to extract emergent media frames for Veterans Day 2014 and compiled a word frequency list, which captures the words most commonly used within the corpora. In post hoc analyses, we collected news stories and compiled word frequency lists for Veterans Day 2012, 2013, and 2015. Our findings reveal dissenting frames across 2012, 2013, and 2014 Veterans Day media coverage. Word frequency results suggest the 2012 and 2013 media frames largely celebrate Veterans as heroes, but the 2014 coverage depicts veterans as victimized by their wartime experiences. Furthermore, our results demonstrate how the prevailing 2015 media frames could be a reaction to 2014 frames that portrayed veterans as health victims. We consider the ramifications of this binary portrayal of veterans as either health victims or heroes and discuss the implications of these dueling frames for veterans' access to healthcare resources.

Electronic Health Record (EHR) Organizational Change: Explaining Resistance Through Profession, Organizational Experience, and EHR Communication Quality.

The American Recovery and Reinvestment Act passed by the U.S. government in 2009 mandates that all healthcare organizations adopt a certified electronic health record (EHR) system by 2015. Failure to comply will result in Medicare reimbursement penalties, which steadily increase with each year of delinquency. There are several repercussions of this seemingly top-down, rule-bound organizational change-one of which is employee resistance. Given the penalties for violating EHR meaningful use standards are ongoing, resistance to this mandate presents a serious issue for healthcare organizations. This study surveyed 345 employees in one healthcare organization that recently implemented an EHR. Analysis of variance results offer theoretical and pragmatic contributions by demonstrating physicians, nurses, and employees with more experience in their organization are the most resistant to EHR change. The job characteristics model is used to explain these findings. Hierarchical regression analyses also demonstrate the quality of communication surrounding EHR implementation-from both formal and informal sources-is negatively associated with EHR resistance and positively associated with perceived EHR implementation success and EHR's perceived relative advantage.

Making Electronic Health Records (EHRs) Work: Informal Talk and Workarounds in Healthcare Organizations.

A key provision of the American Recovery and Reinvestment Act of 2009 mandated that electronic health records (EHR) be adopted in US healthcare organizations by 2015. The purpose of this study is to examine the communicative processes involved as healthcare workers implement an EHR and make changes, known as workarounds. Guided by theories in social influence, and diffusion of innovations, we conducted a survey of healthcare professionals using an EHR system in an organization. Our structural equation modeling (SEM) and multiple regression results reveal coworker communication, in the form of informal social support and feedback, play an important role in whether people engage in workarounds. Understanding this relationship is important because our study also demonstrates that workarounds predict healthcare employees' overall satisfaction with the EHR system. Specifically, workarounds are associated with higher perceptions of the EHR's relative advantage, higher perceptions of EHR implementation success, and lower levels of resistance to EHR change. This study offers a health communication contribution to the growing research on EHR systems and demonstrates the persuasive effects that coworkers have on new technology use in healthcare organizations.