Contributions to Research and Practice Made by the National Cancer Institute's Health Communication and Informatics Research Branch.

The Health Communication and Informatics Research Branch at the U.S. National Cancer Institute was founded in 1999 in response to increasing evidence demonstrating a link between effective health communication and improved cancer-related outcomes and in recognition of the rapid and dramatic technological changes that were transforming health communication at the turn of the 21st century. For the past 25 years, the Health Communication and Informatics Research Branch has been conducting and supporting research at the forefront of emerging cancer communication trends and technologies, making numerous contributions to health communication science, public health, and cancer control practice. In this essay, we provide a brief history of the branch and the context that led to its establishment, discuss contributions made by the branch to health communication research and practice through key projects and initiatives, and conclude by highlighting health communication and informatics research priorities that offer opportunities for significant impact going forward in light of the challenges posed by the current communication environment.

Mitigating Health and Science Misinformation: A Scoping Review of Literature from 2017 to 2022.

Literature on how to address misinformation has rapidly expanded in recent years. The aim of this scoping review was to synthesize the growing published literature on health and science misinformation mitigation interventions. English-language articles published from January 2017 to July 2022 were included. After title/abstract screening, 115 publications (148 empirical studies) met inclusion criteria and were coded for sample characteristics, topics, mitigation strategies, research methods, outcomes, and intervention efficacy. A marked increase in misinformation mitigation research was observed in 2020-2022. COVID-19, vaccines, and climate change were the most frequently addressed topics. Most studies used general population samples recruited online; few focused on populations most vulnerable to misinformation. Most studies assessed cognitive outcomes (e.g., knowledge), with fewer assessing health behavior, communication behavior, or skills. Correction (k = 97) was the most used misinformation mitigation strategy, followed by education and other literacy initiatives (k = 39) and prebunking/inoculation (k = 24). Intervention efficacy varied, with 76 studies reporting positive, 17 reporting null, and 68 reporting mixed results. Most misinformation mitigation interventions were limited to short-term online experiments focused on improving cognitive outcomes. Priority research areas going forward include expanding and diversifying study samples, scaling interventions, conducting longitudinal observations, and focusing on communities susceptible to misinformation.

Using Behavioral Science to Address COVID-19 Vaccine Hesitancy Among Cancer Survivors: Communication Strategies and Research Opportunities.

Due to cancer survivors' increased vulnerability to complications from COVID-19, addressing vaccine hesitancy and improving vaccine uptake among this population is a public health priority. However, several factors may complicate efforts to increase vaccine confidence in this population, including the underrepresentation of cancer patients in COVID-19 vaccine trials and distinct recommendations for vaccine administration and timing for certain subgroups of survivors. Evidence suggests vaccine communication efforts targeting survivors could benefit from strategies that consider factors such as social norms, risk perceptions, and trust. However, additional behavioral research is needed to help the clinical and public health community better understand, and more effectively respond to, drivers of vaccine hesitancy among survivors and ensure optimal protection against COVID-19 for this at-risk population. Knowledge generated by this research could also have an impact beyond the current COVID-19 pandemic by informing future vaccination efforts and communication with cancer survivors more broadly.

U.S. public opinion toward policy restrictions to limit tobacco product placement and advertising at point-of-sale and on social media.

The Family Smoking Prevention and Tobacco Control Act granted the U.S. Food and Drug Administration authority to regulate tobacco advertising and promotion, including at the retail level, and preserved state, tribal, and local tobacco advertising and promotion authorities. Public health experts have proposed prohibiting point-of-sale tobacco advertisements and product displays, among other tobacco advertising restrictions. We examined the prevalence and correlates of public support, opposition, and neutrality toward proposed tobacco product placement and advertising restrictions at point-of-sale and on social media utilizing the National Cancer Institute's 2020 Health Information National Trends Survey (HINTS) (N = 3865), a cross-sectional, probability-based postal survey of U.S. addresses conducted from Feb 24, 2020 to June 15, 2020 (Bethesda, MD). Frequencies and unadjusted, weighted proportions were calculated for support, neutrality, and opposition toward the three policies under study, and weighted, adjusted multivariable logistic regression was employed to examine predictors of neutrality and opposition. Tests of significance were conducted at the p < 0.05 level. Sixty-two percent of U.S. adults supported a policy prohibiting tobacco product advertising on social media; 55% supported a policy restricting the location of tobacco product advertising at point-of-sale; and nearly 50% supported a policy to keep tobacco products out of view at the checkout counter. Neutrality and opposition varied by sociodemographic characteristics including age, sex, education, rurality, and presence of children in the household. Understanding public opinion toward tobacco product placement and advertising restrictions may inform policy planning and implementation.

Public Support for Cigarette Pack Pictorial Health Warnings Among US Adults: A Cross-sectional Analysis of the 2020 Health Information National Trends Survey.

INTRODUCTION: The US Food and Drug Administration issued a final rule requiring new warnings for cigarette packages and advertisements. This study examines population-level characteristics of support for-versus neutrality or opposition toward-cigarette pack warnings that use text and images to portray the negative health effects of smoking. METHODS: We used nationally representative cross-sectional data of US adults age 18 and older from the 2020 Health Information National Trends Survey (n = 3865). Frequencies and weighted proportions were calculated for neutrality toward, opposition to, and support for pictorial warnings across sociodemographics and other predictors. Weighted, multivariable logistic regression examined predictors of being neutral or opposed versus supportive of pictorial warnings. RESULTS: In 2020, an estimated 69.9% of US adults supported pictorial warnings, 9.1% opposed, and 20.9% neither supported nor opposed them. In fully adjusted models, current smokers had almost twice the odds of being neutral or opposed to pictorial warnings as never smokers (odds ratio [OR] = 1.99, confidence interval [CI] 1.12, 3.52). Adults 75 years and older (vs. 18-34) (OR = 0.55, CI 0.33, 0.94) and those with children under 18 in their household (vs. no children) (OR = 0.67, CI 0.46, 0.98) were less likely to be neutral or opposed. CONCLUSIONS: In advance of the Food and Drug Administration's implementation of pictorial warnings on cigarette packages, nearly 70% of American adults support this policy. Disseminating information about the effectiveness of pictorial warnings may further strengthen support among current smokers who are less supportive than never smokers. Furthermore, framing messages around the benefits of pictorial warnings for protecting youth may increase public support. IMPLICATIONS: While public support for pictorial warnings on cigarette packages is high in the United States, it may increase further after policy implementation and be strengthened by utilizing information campaigns that convey the evidence that pictorial warnings are an effective public health strategy.

Factors Associated with Cancer Message Believability: a Mixed Methods Study on Simulated Facebook Posts.

The ability to share and obtain health information on social media (SM) places higher burden on individuals to evaluate the believability of such health messages given the growing nature of misinformation circulating on SM. Message features (i.e., format, veracity), message source, and an individual's health literacy all play significant roles in how a person evaluates health messages on SM. This study assesses how message features and SM users' health literacy predict assessment of message believability and time spent looking at simulated Facebook messages. SM users (N = 53) participated in a mixed methods experimental study, using eye-tracking technology, to measure relative time and message believability. Measures included individual health literacy, message format (narrative/non-narrative), and information veracity (evidence-based/non-evidence-based). Results showed individuals with adequate health literacy rated evidence-based posts as more believable than non-evidence-based posts. Additionally, individuals with limited health literacy spent more relative time on the source compared to individuals with adequate health literacy. Public health and health communication efforts should focus on addressing myths and misinformation found on SM. Additionally, the source of message may be equally important when evaluating messages on SM, and strategies should identify reliable sources to prevent limited health literate individuals from falling prey to misinformation.

Missing the Bigger Picture: The Need for More Research on Visual Health Misinformation.

Research shows that health misinformation is widespread online and poses a potentially significant threat to public health. Visual misinformation has been largely overlooked, a notable gap given the unique features and ubiquity of visual content. In this essay, we (a) provide a working definition of visual misinformation, (b) summarize the main categories of visual misinformation, (c) offer examples of the functions visuals can serve within misinformation content, and (d) outline priorities for advancing research on visual misinformation. A systematic approach to studying visual misinformation can improve efforts to mitigate health misinformation and optimize science communication in the current information environment.

Communication research at the National Cancer Institute, 2013-2019: a grant portfolio analysis.

PURPOSE: To analyze communication-focused grants funded by the National Cancer Institute (NCI) between fiscal years 2013 and 2019 to provide insight into the characteristics of funded projects and identify promising areas for future research. METHODS: iSearch, a portfolio analysis tool, was queried to identify communication-related grants funded by NCI. Abstracts and specific aims were coded for key study characteristics. 344 unique competing grants with a substantial communication component were included in the final analysis. SAS version 9.4 was used to calculate code frequencies. RESULTS: Most communication grants focused on cancer prevention (n = 197), with fewer targeting diagnosis, treatment, survivorship, or end-of-life. Tobacco product use was the most frequently addressed topic (n = 128). Most grants targeted or measured outcomes at the individual (n = 332) or interpersonal level (n = 127). Cancer patients/survivors (n = 101) and healthcare providers (n = 63) were often the population of focus, while caregivers or those at increased risk for cancer received less attention. Studies were often based in healthcare settings (n = 125); few studies were based in schools or worksites. Many grants employed randomized controlled trials (n = 168), but more novel methods, like optimization trials, were uncommon. CONCLUSION: NCI's support of health communication research covers a diverse array of topics, populations, and methods. However, the current analysis also points to several promising opportunities for future research, including efforts focused on communication at later stages of the cancer control continuum and at multiple levels of influence, as well as studies that take advantage of a greater diversity of settings and leverage novel methodological approaches.

Using Social Media for Health: National Data from HINTS 2019.

Social media (SM) have fundamentally changed the way we exchange information, including how we communicate about health. The goal of this study was to describe current prevalence and predictors of SM use by analyzing nationally representative data from the 2019 Health Information National Trends Survey (HINTS). Multivariate logistic regression models examined the odds of engaging in four SM activities: visiting social networking sites, sharing health information on SM, participating in online support groups, and watching health-related videos. In 2019, approximately 86% of Internet users reported engaging in at least one SM activity. Younger age and female gender were associated with higher likelihood of engaging in all SM activities. No significant ethnic/racial disparities were observed for most SM activities, but Hispanics were found to be more likely to report watching health-related videos. Additionally, those with regular health care access were more likely to participate in online support groups. Previous HINTS survey cycles were also used to examine change in SM use over time, showing that general SM use has increased substantially since 2007, but the use of SM for health-related purposes has not increased to the same extent. The dynamic and evolving nature of SM makes systematic assessment vital. Knowledge of current SM use patterns could make health communication efforts more effective and equitable.

Cancer communication research in the era of genomics and precision medicine: a scoping review.

Effective use of genetic and genomic data in cancer prevention and treatment depends on adequate communication with patients and the public. Although relevant empirical work has emerged, the scope and outcomes of this communication research have not been characterized. We conducted a comprehensive scoping review of recent published research (2010-2017) on communication of cancer-related genetic and genomic testing (CGT) information. Searches in six databases revealed 9243 unique records; 513 papers were included. Most papers utilized an observational quantitative design; fewer utilized an experimental design. More attention has been paid to outcomes of CGT results disclosure than to decision making regarding CGT uptake or the process of results disclosure. Psychosocial outcomes were most common across studies. This literature has a strong focus on BRCA1/2, with few papers focused on Lynch syndrome or next-generation technologies. Women, Caucasians, older adults, and those of higher socioeconomic status were overrepresented. Research gaps identified include the need for studies on the process of CGT communication; examining behavioral, decision making, and communication outcomes; and inclusion of diverse populations. Addressing these gaps can help improve the use of genomics in cancer control and reduce disparities in access to and use of CGT.

"Obesity is the New Major Cause of Cancer": Connections Between Obesity and Cancer on Facebook and Twitter.

Social media interactions can inform public health risk perceptions. While research has examined the risk relationships between obesity and cancer, public attitudes about their associations remain largely unknown. We explored how these constructs were discussed together on two social media platforms. Publicly accessible Facebook and Twitter posts from a 2-month period in 2012 containing references to obesity ("obese/obesity," "overweight," and "fat") and cancer-related words were extracted (N = 3702 posts). Data cleaning yielded a final set of 1382 posts (Facebook: N = 291; Twitter: N = 1091). Using a mixed-methods approach, themes were inductively generated, and sentiment valence, structural elements, and epistemic stance were coded. Seven relational themes emerged: obesity is associated with cancer (n = 389), additional factors are associated with both obesity and cancer (n = 335), obesity causes cancer (n = 85), cancer causes obesity (n = 6), obesity is not linked to cancer (n = 13), co-occurrence (n = 492), and obesity is valued differently than cancer (n = 60). Fifty-nine percent of posts focused on an associative or causal link between obesity and cancer. Thirty-one percent of posts contained positive and/or negative sentiment. Facebook was more likely to contain any sentiment, but Twitter contained proportionately more negative sentiment. Concurrent qualitative analysis revealed a dominance of individual blame for overweight/obese persons and more support and empathy for cancer survivors. Our study reflects wide recognition of the evidence linking obesity to increased risk of cancer, a diverse set of factors perceived to be dually associated with both conditions and differing attribution of responsibility. We demonstrate that social media monitoring can provide an important gauge of public health risk perception.

"My YAP Family": Analysis of a Facebook Group for Young Adults Living with HIV.

Little research exists regarding the use of social networking sites, like Facebook, for improving patient well-being. The aim of this study was to evaluate a private Facebook group established for members of an HIV clinic's young adult program. This study employed directed content analysis to examine the types and frequencies of interactions observable in the 3,838 posts and comments that appeared on the Facebook group page between March 1, 2011 and July 1, 2012. Analysis revealed that a large percentage (41.7 %) of the content was classified as "administrative/engagement in group" and functioned to enhance the operations of the program as a whole. Additionally, positive interactions were frequently observed, especially socializing (24.8 %), banter (20.2 %), and offers of social support (15.1 %). Emotional support was the most frequent type of support requested, while esteem support was the most commonly provided form of support. The results of this study demonstrate that a Facebook group can be a means of providing patients with social support and positive social interaction and can improve services for young adults with HIV.

Meeting the healthy people 2020 goals: using the Health Information National Trends Survey to monitor progress on health communication objectives.

The Healthy People initiative outlines a comprehensive set of goals aimed at improving the nation's health and reducing health disparities. Health communication has been included as an explicit goal since the launch of Healthy People 2010. The Health Information National Trends Survey (HINTS) was established as a means of exploring how the changing information environment was affecting the public's health, and is therefore an ideal tool for monitoring key health communication objectives included in the Healthy People agenda. In this article, the authors apply an integrative data analysis strategy to more than 10 years of HINTS data to demonstrate how public health surveillance can be used to evaluate broad national health goals, like those set forth under the Healthy People initiative. The authors analyzed just one item from the HINTS survey regarding Internet access in order to illustrate what public health surveillance tools, like HINTS, can reveal about important indicators that are of interest to all those who work to improve the health of the public. Results show that reported Internet penetration has exceeded the Healthy People 2020 target of 75.4%. HINTS data also allowed modeling of the effects of various sociodemographic factors, which revealed persistent differences on the basis of age and education, with the oldest age groups and those with less than a college education falling short of the Healthy People 2020 target as of 2013. Furthermore, although differences by race/ethnicity were observed, the analyses suggest that race in itself accounts for very little of the variance in Internet access.

Perceptions of Health Misinformation on Social Media: Cross-Sectional Survey Study.

BACKGROUND: Health misinformation on social media can negatively affect knowledge, attitudes, and behaviors, undermining clinical care and public health efforts. Therefore, it is vital to better understand the public's experience with health misinformation on social media. OBJECTIVE: The goal of this analysis was to examine perceptions of the social media information environment and identify associations between health misinformation perceptions and health communication behaviors among US adults. METHODS: Analyses used data from the 2022 Health Information National Trends Survey (N=6252). Weighted unadjusted proportions described respondents' perceptions of the amount of false or misleading health information on social media ("perceived misinformation amount") and how difficult it is to discern true from false information on social media ("perceived discernment difficulty"). Weighted multivariable logistic regressions examined (1) associations of sociodemographic characteristics and subjective literacy measures with misinformation perceptions and (2) relationships between misinformation perceptions and health communication behaviors (ie, sharing personal or general health information on social media and using social media information in health decisions or in discussions with health care providers). RESULTS: Over one-third of social media users (35.61%) perceived high levels of health misinformation, and approximately two-thirds (66.56%) reported high perceived discernment difficulty. Odds of perceiving high amounts of misinformation were lower among non-Hispanic Black/African American (adjusted odds ratio [aOR] 0.407, 95% CI 0.282-0.587) and Hispanic (aOR 0.610, 95% CI 0.449-0.831) individuals compared to White individuals. Those with lower subjective health literacy were less likely to report high perceived misinformation amount (aOR 0.602, 95% CI 0.374-0.970), whereas those with lower subjective digital literacy were more likely to report high perceived misinformation amount (aOR 1.775, 95% CI 1.400-2.251). Compared to White individuals, Hispanic individuals had lower odds of reporting high discernment difficulty (aOR 0.620, 95% CI 0.462-0.831). Those with lower subjective digital literacy (aOR 1.873, 95% CI 1.478-2.374) or numeracy (aOR 1.465, 95% CI 1.047-2.049) were more likely to report high discernment difficulty. High perceived misinformation amount was associated with lower odds of sharing general health information on social media (aOR 0.742, 95% CI 0.568-0.968), using social media information to make health decisions (aOR 0.273, 95% CI 0.156-0.479), and using social media information in discussions with health care providers (aOR 0.460, 95% CI 0.323-0.655). High perceived discernment difficulty was associated with higher odds of using social media information in health decisions (aOR 1.724, 95% CI 1.208-2.460) and health care provider discussions (aOR 1.389, 95% CI 1.035-1.864). CONCLUSIONS: Perceptions of high health misinformation prevalence and discernment difficulty are widespread among social media users, and each has unique associations with sociodemographic characteristics, literacy, and health communication behaviors. These insights can help inform future health communication interventions.