Stay Socially Distant and Wash Your Hands: Using the Health Belief Model to Determine Intent for COVID-19 Preventive Behaviors at the Beginning of the Pandemic.

BACKGROUND: The COVID-19 pandemic has quickly spread around the world, and since currently no treatments that are safe and effective for large groups of people nor a vaccine are available, the best way to prevent the illness is to avoid being exposed to the virus causing it. The purpose of this study was to examine the predictive effects of both demographic and psychosocial factors originating with the Health Belief Model on reported intent to adhere to COVID-19 preventive behaviors (e.g., social distancing, hand washing, and not attending large gatherings). METHOD: A Qualtrics survey of 500 U.S. adults was conducted to explore the relationships of demographics and psychosocial factors with the intent to adhere to COVID-19 preventive measures. RESULTS: Gender was a predictor of taking preventive action, with women more likely to take action. Health Belief Model constructs predicted uptake of most COVID-19 preventive actions, but the constructs often appeared to work independent of the model. Race/ethnicity was an infrequent predictor, but when it did, minorities were less likely to report intent to adhere to COVID-19 preventive behaviors. CONCLUSION/IMPLICATIONS: While not a perfect model for this pandemic, the Health Belief Model and its constructs should continue to be considered for use by public health communicators focusing on preventive measure campaign design in both the COVID-19 pandemic era and beyond.

Tweeting about #Diseases and #Publichealth: Communicating Global Health Issues across Nations.

Twitter is playing an increasing role in health communications, but little is known about the Twitter use of national health departments in general and across different nations in particular. This quantitative content analysis of 1,200 tweets from 12 national health departments showed that the topics covered in these tweets are often lacking in broad coverage - cardiovascular disease is barely mentioned, while infectious diseases are often highlighted - and the tweets do not try to initiate engagement through creating a two-way dialogue with followers. However, the tweets appear to use Health Belief Model constructs, such as initiating cues to action, mentioning self-efficacy and highlighting perceived benefits of health preventative, treatment or screening options, and this is associated with increased Twitter engagement. The paper ends with recommendations for both future studies and new challenges for the use of Twitter by national health departments.

Framing and visual type: Effect on future Zika vaccine uptake intent.

INTRODUCTION: The Zika virus is associated with the birth defect microcephaly, and while a vaccine was not available in early- 2017, several were under development. This study's purpose was to identify effective communication strategies to promote uptake of a new vaccine, particularly among women of reproductive age. DESIGN AND METHODS: In order to study the effects of Zika message framing (gain vs. loss) and visual type (photo vs. infographic) on future Zika vaccine uptake intent, a 2×2 between-subjects experiment was performed via an online survey in 2017 among 339 U.S. women of reproductive age (18-49 years). Participants were exposed to one of four messages, all resembling Instagram posts: gain-framed vs. loss-framed infographic, and gain-framed vs. loss-framed photo. These messages were followed by questions about Zika vaccine uptake intent as well as intermediate psychosocial variables that could lead to intent. RESULTS: There was no interaction between framing and visual type (P=0.116), and there was no effect for framing (P=0.185) or visual type (P=0.724) on future Zika vaccine uptake intent, which is likely indicative of insufficient dosage of the intervention. However, when focusing on intermediate psychosocial constructs that are known to influence behavior and intent, gain-framed messages were more effective in increasing subjective norms (P=0.005) as related to a future Zika vaccine, as well as perceived benefits (P=0.016) and self-efficacy (P=0.032). CONCLUSIONS: Gain-framed messages seem to be more effective than loss-framed messages to increase several constructs that could, in turn, affect future Zika vaccine uptake intent. This is a novel finding since, traditionally, loss-framed messages are considered more beneficial in promoting vaccine-related health behaviors.