Bradford William Hesse
The presence of large-scale data systems can be felt, consciously or not, in almost every facet of modern life, whether through the simple act of selecting travel options online, purchasing products from online retailers, or navigating through the streets of an unfamiliar neighborhood using global positioning system (GPS) mapping. These systems operate through the momentum of big data, a term introduced by data scientists to describe a data-rich environment enabled by a superconvergence of advanced computer-processing speeds and storage capacities; advanced connectivity between people and devices through the Internet; the ubiquity of smart, mobile devices and wireless sensors; and the creation of accelerated data flows among systems in the global economy. Some researchers have suggested that big data represents the so-called fourth paradigm in science, wherein the first paradigm was marked by the evolution of the experimental method, the second was brought about by the maturation of theory, the third was marked by an evolution of statistical methodology as enabled by computational technology, while the fourth extended the benefits of the first three, but also enabled the application of novel machine-learning approaches to an evidence stream that exists in high volume, high velocity, high variety, and differing levels of veracity.
In public health and medicine, the emergence of big data capabilities has followed naturally from the expansion of data streams from genome sequencing, protein identification, environmental surveillance, and passive patient sensing. In 2001, the National Committee on Vital and Health Statistics published a road map for connecting these evidence streams to each other through a national health information infrastructure. Since then, the road map has spurred national investments in electronic health records (EHRs) and motivated the integration of public surveillance data into analytic platforms for health situational awareness. More recently, the boom in consumer-oriented mobile applications and wireless medical sensing devices has opened up the possibility for mining new data flows directly from altruistic patients. In the broader public communication sphere, the ability to mine the digital traces of conversation on social media presents an opportunity to apply advanced machine learning algorithms as a way of tracking the diffusion of risk communication messages. In addition to utilizing big data for improving the scientific knowledge base in risk communication, there will be a need for health communication scientists and practitioners to work as part of interdisciplinary teams to improve the interfaces to these data for professionals and the public. Too much data, presented in disorganized ways, can lead to what some have referred to as “data smog.” Much work will be needed for understanding how to turn big data into knowledge, and just as important, how to turn data-informed knowledge into action.
Janice L. Krieger and Jordan M. Neil
Strategic communication is an essential component in the science and practice of recruiting participants to clinical research studies. Unfortunately, many clinical research studies do not consider the role of communication in the recruitment process until efforts to enroll patients in a timely manner have failed. The field of communication is rich with theory and research that can inform the development of an effective recruitment plan from the inception of a clinical research study through informed consent. The recruitment context is distinct from many other health contexts in that there is often not a behavioral response that can be universally promoted to patients. The appropriateness of a clinical research study for an individual is based on a number of medical, psychological, and contextual factors, making it impossible to recommend that everyone who is eligible for a clinical research study enroll. Instead, clinical research study recruitment efforts must utilize strategic communication principles to ensure that messages promote awareness of clinical research, maximize personal relevance, minimize information overload, and facilitate informed choice. This can be accomplished through careful consideration of various aspects of the communication context described in this chapter, including audience segmentation, message content, message channels, and formative, process, and outcome evaluation, as well as the enrollment encounter.
A community of practice (CoP) situated in a health and risk context is an approach to collaboration among members that promotes learning and development. In a CoP, individuals come together virtually or physically and coalesce around a common purpose. CoPs are defined by knowledge, rather than task, and encourage novices and experienced practitioners to work together to co-create and embed sustainable outputs that impact on theory and practice development. As a result, CoPs provide an innovative approach to incorporating evidence-based research associated with health and risk into systems and organizations aligned with public well-being.
CoPs provide a framework for constructing authentic and collaborative learning. Jeanne Lave and Etienne Wenger are credited with the original description of a CoP as an approach to learning that encompasses elements of identity, situation, and active participation. CoPs blend a constructivist view of learning, where meaningful experience is set in the context of “self” and the relationship of “self” with the wider professional community. The result is an integrated approach to learning and development achieved through a combination of social engagement and collaborative working in an authentic practice environment. CoPs therefore provide a strategic approach to acknowledging cultural differences related to translating health and risk theory into practice.
In health and risk settings, CoPs situate and blend theory and practice to create a portal for practitioners to generate, shape, test, and evaluate new ideas and innovations. Membership of a CoP supports the development of professional identity within a wider professional sphere and may support community members to attain long range goals.
Brenda L. Berkelaar and LaRae Tronstad
How people negotiate the work–life interface remains a popular topic for scholars and the public. Work–life research is a large body of interdisciplinary scholarship that considers how people experience, navigate, and negotiate different roles, commitments, and boundaries within and across life domains—often with the goal of improving individual, organizational, and social well-being and success. Spurred by demographic, social, economic, and technological changes, scholars take difference perspectives on overlapping research areas which include work–life balance, work–life conflict, work–family conflict, boundary management, work–life enrichment or facilitation, as well as positive or negative spillover. Key issues addressed include the implications of framing work–life as a dichotomy, drivers of work–life outcomes, how ideals shape work–life negotiations, how individuals negotiate everyday work–life challenges and opportunities, and the influence of evolving information and communication technologies on the work–life interface. Research from multiple disciplines highlights the demographic, economic, moral, cultural, and national factors that affect work–life practices, processes, policies, tactics, and outcomes. This multidisciplinary perspective provides relevant insights for generative research and resilient practice for individuals, groups, organizations, or societies.
Self-disclosure, or revealing information about the self to others, plays an integral role in interpersonal experiences and relationships. It has captivated the interest of scholars of interpersonal communication for decades, to the extent that some have positioned self-disclosure as the elixir of social life. Sharing personal information is the means by which relationships are built and maintained, because effective disclosures contribute to greater intimacy, trust, and closeness in a relationship. Self-disclosure also confers personal benefits, including reduced stress and improved physical and psychological health. Furthermore, disclosing private thoughts and feelings is often a necessary precondition for reaping the benefits of other types of communication, such as supportive communication. Despite the apparent advantages for personal and relational well-being, self-disclosure is not a panacea. Revealing intimate information can be risky, awkward, and incite judgment from close others. People make concerted efforts to avoid self-disclosure when information has the potential to cause harm to themselves, others, and relationships. Research on self-disclosure has primarily focused on dyadic interactions; however, online technologies enable people to share personal information with a large audience and are challenging taken-for-granted understandings about the role of self-disclosure in relating. As social networking sites become indispensable tools for maintaining a large and robust personal network, people are adapting their self-disclosure practices to the features and affordances of these technologies. Taken together, this body of research helps illuminate what is at stake when communicating interpersonally.