Eliciting Opinions on Health Messaging During the COVID-19 Pandemic: Qualitative Survey Study.

BACKGROUND: Effective public health messaging has been necessary throughout the COVID-19 pandemic, but stakeholders have struggled to communicate critical information to the public, especially in different types of locations such as urban and rural areas. OBJECTIVE: This study aimed to identify opportunities to improve COVID-19 messages for community distribution in rural and urban settings and to summarize the findings to inform future messaging. METHODS: We purposively sampled by region (urban or rural) and participant type (general public or health care professional) to survey participants about their opinions on 4 COVID-19 health messages. We designed open-ended survey questions and analyzed the data using pragmatic health equity implementation science approaches. Following the qualitative analysis of the survey responses, we designed refined COVID-19 messages incorporating participant feedback and redistributed them via a short survey. RESULTS: In total, 67 participants consented and enrolled: 31 (46%) community participants from the rural Southeast Missouri Bootheel, 27 (40%) community participants from urban St Louis, and 9 (13%) health care professionals from St Louis. Overall, we found no qualitative differences between the responses of our urban and rural samples to the open-ended questions. Participants across groups wanted familiar COVID-19 protocols, personal choice in COVID-19 preventive behaviors, and clear source information. Health care professionals contextualized their suggestions within the specific needs of their patients. All groups suggested practices consistent with health-literate communications. We reached 83% (54/65) of the participants for message redistribution, and most had overwhelmingly positive responses to the refined messages. CONCLUSIONS: We suggest convenient methods for community involvement in the creation of health messages by using a brief web-based survey. We identified areas of improvement for future health messaging, such as reaffirming the preventive practices advertised early in a crisis, framing messages such that they allow for personal choice of preventive behavior, highlighting well-known source information, using plain language, and crafting messages that are applicable to the readers' circumstances.

Challenges and Possible Solutions to Adapting to Virtual Recruitment: Lessons Learned from a Survey Study during the Covid-19 Pandemic.

The Covid-19 pandemic required rapid changes to research protocols, including immediate transitions to recruiting research participants and conducting the informed consent process virtually. This case study details the challenges our research team faced adapting an in-person, behavioral-intervention and survey study to virtual recruitment. We reflect on the impact of these rapid changes on recruitment and retention, discuss protocol changes we made to address these challenges and the needs of potential and enrolled participants, and propose recommendations for future work. Using computer technology to display professional return phone numbers, being flexible by contacting potential participants through various means, minimizing email communication due to added regulatory requirements, and partnering with the institutional review board to shorten and improve the consent document and process were critical to study success. This case study can offer insight to other researchers as they navigate similar processes. Virtual recruitment is likely to continue; it is important to ensure that it facilitates, rather than hinders, equitable and just recruitment practices.

A case study of adapting a health insurance decision intervention from trial into routine cancer care.

OBJECTIVE: This study adapted Improving Cancer Patients' Insurance Choices (I Can PIC), an intervention to help cancer patients navigate health insurance decisions and care costs. The original intervention improved knowledge and confidence making insurance decisions, however, users felt limited by choices provided in insurance markets. Using decision trees and frameworks to guide adaptations, we modified I Can PIC to focus on using rather than choosing health insurance. The COVID-19 pandemic introduced unforeseen obstacles, prompting changes to study protocols. As a result, we allowed users outside of the study to use I Can PIC (> 1050 guest users) to optimize public benefit. This paper describes the steps took to conduct the study, evaluating both the effectiveness of I Can PIC and the implementation process to improve its impact. RESULTS: Although I Can PIC users had higher knowledge and health insurance literacy compared to the control group, results were not statistically significant. This outcome may be associated with systems-level challenges as well as the number and demographic characteristics of participants. The publicly available tool can be a resource for those navigating insurance and care costs, and researchers can use this flexible approach to intervention delivery and testing as future health emergencies arise.