Behaviors and Advocacy Related to COVID-19 among Cancer Patients: The Health Belief Model and Opportunities for Messaging and Education.

Cancer patients have an increased risk of severe COVID-19 outcomes and were recommended to be vaccinated, wear a mask, practice social distancing, and increase hand hygiene. We used the Health Belief Model (HBM) to identify constructs that were associated with the likelihood of adhering to and advocating for CDC COVID-19 prevention recommendations. We surveyed adult cancer patients who had an onsite appointment at the Penn State Cancer Institute or at the Hematology and Oncology Associates of Northeastern Pennsylvania. Survey measures included adherence to and informing others of COVID-19 recommendations as well as HBM constructs. Relationships between HBM constructs and outcomes were assessed with Spearman's correlation and multivariable ordinal logistic regression. Of the 106 participants who completed the survey for our objectives of interest, 76% always wore a mask, 29% always practiced social distancing, and 24% washed their hands at least 10 times a day. Limited advocacy behaviors were captured for the COVID-19 vaccine (30%), social distancing (36%), and wearing masks (27%). Perceived benefits, perceived barriers, and cues-to-action were positively associated with the likelihood of adherence or advocacy of COVID-19 recommendations among cancer patients, whereas perceived susceptibility and self-efficacy were negatively associated with the likelihood of adherence or advocacy of COVID-19 recommendations among cancer patients. Perceived benefits may be the strongest predictor for adherence and advocacy for specific COVID-19 guidelines. Future messaging and educational campaigns focused on improving adherence to or advocacy of specific health behaviors should be informed by the HBM and originate from multiple outlets.

LionVu 2.0 Usability Assessment for Pennsylvania, United States.

The Penn State Cancer Initiative implemented LionVu 1.0 (Penn State University, United States) in 2017 as a web-based mapping tool to educate and inform public health professionals about the cancer burden in Pennsylvania and 28 counties in central Pennsylvania, locally known as the catchment area. The purpose of its improvement, LionVu 2.0, was to assist investigators answer person-place-time questions related to cancer and its risk factors by examining several data variables simultaneously. The primary objective of this study was to conduct a usability assessment of a prototype of LionVu 2.0 which included area- and point-based data. The assessment was conducted through an online survey; 10 individuals, most of whom had a masters or doctorate degree, completed the survey. Although most participants had a favorable view of LionVu 2.0, many had little to no experience with web mapping. Therefore, it was not surprising to learn that participants wanted short 10-15-minute training videos to be available with future releases, and a simplified user-interface that removes advanced functionality. One unexpected finding was the suggestion of using LionVu 2.0 for teaching and grant proposals. The usability study of the prototype of LionVu 2.0 provided important feedback for its future development.