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.

Impact of the COVID-19 pandemic on referral to and delivery of gynecologic oncology care.

OBJECTIVE: To evaluate the impact of the COVID-19 pandemic on referral to and delivery of gynecologic oncology care at a National Cancer Institute-designated Comprehensive Cancer Center. METHODS: We conducted a retrospective cohort study of patients referred for evaluation by a gynecologic oncologist at Washington University in St. Louis from October 2019 - February 2020 (pre-COVID-19), and April - August 2020 (COVID-19). The primary outcome, time from referral to evaluation by a gynecologic oncologist, was compared between the two time periods. Secondary outcomes included time from initial evaluation to treatment and delays/interruptions in care due to the pandemic. Sub-group analyses were performed on patients with a cancer diagnosis to evaluate the impact of COVID-19 on treatment decision making. RESULTS: 884 patients were referred during the study period. Total referrals fell by 32% (526 to 358 patients, p < 0.001) and referrals for cancer fell by 18% (228 to 188 patients, p = 0.049). The pandemic did not impact time from referral to initial gynecologic oncology appointment overall (pre-COVID-19: 19.1 vs. COVID-19: 17.4 days, p = 0.315) or among patients with cancer (14.4 vs. 13.9 days, p = 0.662). Time from initial appointment to cancer treatment decreased by 9 days (34 days to 25 days, p = 0.001). CONCLUSION: Referrals to gynecologic oncology decreased significantly during the early months of COVID-19. Though time from referral to evaluation was not impacted by the pandemic, time to treatment initiation decreased despite institutional changes related to COVID-19.