When individuals are asked whether they will someday own their own home, enjoy a productive career, or develop a myriad of diseases, many are optimistic. Generally, they think they will experience more good than bad outcomes in life and they view themselves as more likely than similar others to experience the good things and less likely than others to experience the bad things. In the area of health behavior and communication, there are three primary types of optimism that have been defined and operationalized: (1) Dispositional optimism is the generalized positive expectancy that one will experience good outcomes. (2) Comparative optimism refers to the belief that one is either more likely than others to experience positive events or less likely than others to experience negative events. (3) Unrealistic optimism refers to an underestimation of one’s actual risk of experiencing some negative event. Although the three types of optimism may be correlated, their associations may be modest. Also, unlike dispositional optimism, which is an individual difference, comparative and unrealistic optimism are often risk perceptions about specific events and therefore can be defined as accurate or inaccurate. For this reason, the latter two types of optimism have sometimes been labeled the optimistic bias. Research on all three varieties of optimism affords opportunities to understand how optimism influences information processing in a health message or one’s behavioral intentions following the message.
Amanda J. Dillard and Erin M. Ellis
Simon Zebregs and Gert-Jan de Bruijn
Meta-analyses are becoming increasingly popular in the field of health and risk communication—meta-analyses allow for more precise estimations of the magnitude of effects and the robustness of those effects across empirical studies in a particular domain. Despite its popularity, most scholars are not trained in the basic methods involved with meta-analyses. There are advantages to meta-analysis in comparison to other forms of research synthesis. An overview of the methods involved in conducting and reporting meta-analytical research is helpful. However, the methods involved with meta-analyses are not as clear-cut as they may first appear. Numerous issues must be considered and various arbitrary decisions are required during the process. These issues and decisions relate to various topics such as inclusion criteria, the selection of sources, quality assessments for eligible studies, and publication bias. Basic knowledge of these issues and decisions is important for interpreting the outcomes of a meta-analysis correctly.
Shirley S. Ho and Andrew Z. H. Yee
Health communication research has often focused on how features of persuasive health messages can directly influence the intended target audience of the messages. However, scholars examining presumed media influence on human behavior have underscored the need to think about how various audience’s health behavior can be unexpectedly influenced by their exposure to media messages. Two central theoretical frameworks have been used to guide research examining the unintended effects: the third-person effect and the influence of presumed media influence (IPMI). The theoretical explanations for presumed media influence is built on attribution bias, self-enhancement, perceived exposure, perceived relevance, and self-categorization. Even though both the third-person effect and the IPMI share some theoretical foundations, and are historically related, the IPMI has been argued to be better suited to explaining a broader variety of behavioral consequences. One major way that presumed media influence can affect an individual’s health behavior is through the shifting of various types of normative beliefs: descriptive, subjective, injunctive, and personal norms. These beliefs can manifest through normative pressure that is theoretically linked to behavioral intentions. In other words, media have the capability to create the perception that certain behaviors are prevalent, inculcating a normative belief that can lead to the uptake of, or restrain, health behaviors. Scholars examining presumed media influence have since provided empirical support in a number of specific media and behavioral health contexts. Existing findings provide a useful base for health communication practitioners to think about how presumed media influence can be integrated into health campaigns and message design. Despite the proliferation of research in this area, there remains a need for future research to examine these effects in a new media environment, to extend research into a greater number of health outcomes, to incorporate actual behavioral measures, and to ascertain the hypothesized causal chain of events in the model.
J. Craig Andrews, Scot Burton, and Laurel Aynne Cook
It has been since 1990 that the landmark Nutritional Labeling Education Act (NLEA) was passed in the United States, and since 1969 that the first White House Conference on Food, Nutrition and Health occurred. In the time since these important events, considerable research has been conducted on how U.S. consumers process and use nutritional labeling. An up-to-date review of nutritional labeling research must address key findings on the processing and use of nutrition facts panels (NFPs), restaurant labeling, front-of-pack (FOP) symbols, health and nutrient content claims, new labeling efforts (e.g., for meat products), and claims not regulated by the U.S. Food and Drug Administration (FDA). Message structure mediates the ways in which consumers process nutritional labeling while moderating conditions affect research outcomes associated with labeling efforts. The most recent policy issues and problems to be considered (e.g., by the FDA) include nutritional labeling as well as identifying opportunities for consumer research in helping to promote healthy lifestyles and reducing obesity in the United States and throughout the world. For example, several unanswered research questions remain regarding how the proposed changes to the NFPs—beef, poultry, and seafood labeling; restaurant chain calorie labeling; alternative FOP formats; and regulated and unregulated health and nutrient content claims—will affect consumers. Researchers have yet to examine not only these different labeling and nutrition information formats, but also how they might interact with one another and the role of key moderating conditions (e.g., one’s motivation, ability opportunity to process nutrition information) in affecting consumer processing and behavior.
Paul Sebastian Ruppel and Günter Mey
Grounded theory methodology is one of the most widely used approaches to collect and analyze data within qualitative research. It can be characterized as a framework for study design, data collection, and analysis, which aims at the development of middle-range theories. The final result of such a study is called a “grounded theory,” and it consists of categories that are related to each other. Health and risk message design researchers working with grounded theory methodology are explicitly invited to use any kind of data they consider suitable for a particular project. Grounded theory methodology studies were originally based on intense fieldwork data, but in the meantime, interviews have become the most widely used type of data. In addition, there is a growing interest in using visual data such as pictures or film. Grounded theory methodology originated from sociology, but has since been applied in many different disciplines. This widened application went along with modifications, new developments, and innovations, and led to several current variants of grounded theory methodology. Basic features of grounded theory methodology include theoretical sampling, specific coding procedures with a comparative approach to analysis, and memo writing. The strategy of theoretical sampling requires that theoretical insights gained from the analysis of initially collected data guide subsequent data collection. Hence, during the research process data collection and analysis alternate and interact. For data analysis, different ways of coding enable the researcher to develop increasingly abstract conceptual ideas and reflections, first embodied in codes, later in categories. This analytical process allows for a step-by-step development of categories that are grounded in data. Category development entails comparisons at all stages, for example, of different cases during sampling, of different data pieces, and of different codes and categories during analysis. As a result, grounded theory methodology is also known as the constant comparative method. Throughout the research process the researcher writes memos and keeps track of the development of conceptual ideas, methodological reflections, and practical to-dos. Today, many researchers use software specifically developed to assist the process of qualitative data analysis.
Melissa J. Robinson and Silvia Knobloch-Westerwick
In today’s media-saturated environment, individuals may be exposed to hundreds of media messages on a wide variety of topics each day. It is impossible for individuals to attend to every media message, and instead, they engage in the phenomenon of selective exposure, where certain messages are chosen and attended to more often than others. Health communication professionals face challenges in creating messages that can attract the attention of targeted audiences when health messages compete with more entertaining programming. In fact, one of the greatest obstacles for health campaigns is a lack of adequate exposure among targeted recipients. Individuals may avoid health messages completely or counterargue against persuasive attempts to change their health-related attitudes and behaviors. Once individuals have been exposed to a health message, their current mood plays an important role in the processing of health information and decision making. Early research indicated that a positive mood might actually be detrimental to information processing because individuals are more likely to process the information heuristically. However, recent studies countered these results and suggested that individuals in positive moods are more likely to attend to self-relevant health information, with increased recall and greater intent to change their behaviors. Since mood has the ability to influence exposure to health messages and subsequent message processing, it is important for individuals to be able to manage their mood prior to health information exposure and possibly even during exposure. One way individuals can influence their moods is through media use including TV shows, movies, and music. Mood management theory predicts that individuals choose media content to improve and maintain positive moods and examines the mood-impacting characteristics of stimuli that influence individuals’ media selections. Therefore, an individual’s mood plays an important role in selection of any type of communication (e.g., news, documentaries, comedies, video games, or sports). How can health message designers influence individuals’ selection and attention to health messages when negative moods may be blocking overtly persuasive attempts to change behaviors and a preference for entertaining media content? The narrative persuasion research paradigm suggests that embedding health information into entertainment messages may be a more effective method to overcome resistance or counterarguing than traditional forms of health messages (e.g., advertisements or articles). It is evident that mood plays a complex role in message selection and subsequent processing. Future research is necessary to examine the nuances between mood and health information processing including how narratives may maintain positive moods through narrative selection, processing, and subsequent attitude and/or behavior change.
Yvonnes Chen and Joseph Erba
Media literacy describes the ability to access, analyze, evaluate, and produce media messages. As media messages can influence audiences’ attitudes and behaviors toward various topics, such as attitudes toward others and risky behaviors, media literacy can counter potential negative media effects, a crucial task in today’s oversaturated media environment. Media literacy in the context of health promotion is addressed by analyzing the characteristics of 54 media literacy programs conducted in the United States and abroad that have successfully influenced audiences’ attitudes and behaviors toward six health topics: prevention of alcohol use, prevention of tobacco use, eating disorders and body image, sex education, nutrition education, and violent behavior. Because media literacy can change how audiences perceive the media industry and critique media messages, it could also reduce the potential harmful effects media can have on audiences’ health decision-making process. The majority of the interventions have focused on youth, likely because children’s and adolescents’ lack of cognitive sophistication may make them more vulnerable to potentially harmful media effects. The design of these health-related media literacy programs varied. Many studies’ interventions consisted of a one-course lesson, while others were multi-month, multi-lesson interventions. The majority of these programs’ content was developed and administered by a team of researchers affiliated with local universities and schools, and was focused on three main areas: reduction of media consumption, media analysis and evaluations, and media production and activism. Media literacy study designs almost always included a control group that did not take part in the intervention to confirm that potential changes in health and risk attitudes and behaviors among participants could be attributed to the intervention. Most programs were also designed to include at least one pre-intervention test and one post-intervention test, with the latter usually administered immediately following the intervention. Demographic variables, such as gender, age or grade level, and prior behavior pertaining to the health topic under study, were found to affect participants’ responses to media literacy interventions. In these 54 studies, a number of key media literacy components were clearly absent from the field. First, adults—especially those from historically underserved communities—were noticeably missing from these interventions. Second, media literacy interventions were often designed with a top-down approach, with little to no involvement from or collaboration with members of the target population. Third, the creation of counter media messages tailored to individuals’ needs and circumstances was rarely the focus of these interventions. Finally, these studies paid little attention to evaluating the development, process, and outcomes of media literacy interventions with participants’ sociodemographic characteristics in mind. Based on these findings, it is recommended that health-related media literacy programs fully engage community members at all steps, including in the critical analysis of current media messages and the production and dissemination of counter media messages. Health-related media literacy programs should also impart participants and community members with tools to advocate for their own causes and health behaviors.
Jessica Gasiorek and R. Kelly Aune
A majority of the extant literature in health and risk message processing focuses—for obvious reasons—on social influence and compliance-gaining. Interpersonal and relational issues with doctors and patients are a secondary focus. In contrast, research that specifically addresses comprehension of health and risk messaging is somewhat scant. However, other domains (e.g., cognitive psychology, reading studies) offer models and studies of comprehension that address message processing more generally. This material can usefully inform research in a health and risk context. An important aspect of any communicative event is the degree to which that event allows interactivity. This can be described in terms of a continuum from static messaging to dynamic messaging. Message features may affect simple comprehension (in the former case) and active understanding (in the latter case) of messaging along this continuum. For static messaging, text features are the dominant focus; for dynamic messaging, how communicators cooperate, collaborate, and adjust their behavior relative to each other’s knowledge states is the focus. Moderators of these effects, which include sources’ dual goals informing and influencing targets, are also important to consider. Examples of this include direct-to-consumer-advertising (DTCA) of pharmaceutical medicines and pharmaceutical companies, which must meet the demands of the government regulatory bodies (e.g., fair and balanced presentation of benefits and risks) while simultaneously influencing the message processing experience of the target to minimize negative perceptions of their products. Impediments to creating understanding can arise in both the highly interactive setting of the face-to-face doctor-patient context as well as more static messaging situations such as PSAs, pamphlets, and pharmaceutical package inserts. Making sense of message comprehension in health and risk communication is complex, and it is complex because it is broad in scope. Health and risk communication runs the gamut of static to dynamic messaging, employing everything from widely distributed patient information leaflets and public service announcements, to interactive web pages and massively connected social networking sites, to the highly interactive and personalized face-to-face meeting between doctor and patient. An equally comprehensive theoretical and methodological tool box must be employed to develop a thorough understanding of health and risk communication.
Kevin Real and Andy Pilny
Effective communication in health care teams is central to the delivery of high-quality, safe, dependable, and efficient patient care. Understanding how health care team communication operates within healthcare systems is important. Viewing health care teams in hospital settings as creators and channels for diffusions of health and risk messages is an important contribution to health communication scholarship. Health care teams are essential elements of healthcare systems. In many instances, they are components of multiteam systems embedded within larger network ecosystems. These teams are not identical, thus, considering how team type (e.g., unidisciplinary, multidisciplinary, interdisciplinary) shapes distinct communication processes offers a better understanding of how these teams facilitate health and risk message diffusion. TeamSTEPPS is an important framework for essential teamwork behaviors that facilitate team processes in healthcare systems. Significantly, we develop specific communication competencies drawn from observation work that facilitate health care team effectiveness. Ideas developed by Kurt Lewin are utilized to consider how different types of multiteam systems can be effective as channels and facilitators of health and risk messages. We end the chapter with examples from field research. A set of hospital nursing unidisciplinary teams comprise a network of teams that form a heterarchical structure with important messages flowing between teams. An innovative form of hospital interdisciplinary rounds relies on specific communication practices to create and exchange health and risk messages to patients, families, health care team members, and other healthcare stakeholders.