Screening donors for COVID-19 convalescent plasma.

BACKGROUND: Convalescent plasma is used as a treatment for COVID-19. Only limited data describe the efforts to recruit COVID-19 convalescent plasma (CCP) donors. We describe our experience engaging persons recovered from COVID-19 to donate CCP. STUDY DESIGN AND METHODS: We performed a retrospective analysis of the CCP recruitment for an 11-hospital health system in Houston, Texas. We sought CCP donations from: a) "volunteers" responding to advertisements in social media, press releases, and websites and b) "referred" individuals directed to the program or identified from hospitalization records. We determined the proportions of donor candidates who passed initial telephone health screening, who qualified after diagnostic testing, who presented to the regional CCP donation center, and who completed CCP donation. RESULTS: There were 900 CCP donor candidates, including 363 volunteers and 537 referred donors. Of 360 contacted volunteers, 186 (5.7%) were excluded by interview; 133 were referred for additional diagnostic screening, 97 completed donor antibody and antigen testing, and 87 were qualified for CCP donation, resulting in 35 CCP donations (9.7% of initial telephone contacts). Among 533 referred donors, 448 (84.1%) were excluded by interview, 71 were referred for additional screening, 48 completed donor antibody and antigen testing, and 40 were qualified for CCP donation, resulting in one CCP donation (0.2% of initial telephone contacts). CONCLUSION: In this community, screening of a high number of candidates yielded a limited number of CCP donations. These observations have important implications for CCP donor recruitment and community pandemic planning.

Access to Routinely Collected Clinical Data for Research: A Process Implemented at an Academic Medical Center.

Electronic health records are valuable for clinical and translational research. Institutions must protect patient privacy and comply with applicable regulations while allowing appropriate access to clinical data for research. The processes that investigators must follow to access clinical data can be substantially different at different institutions. In this paper, we describe the process developed at our institution that has been active for 5 years and was used to satisfy over 200 requests for access to identified clinical data, usually within 1 day for internal requests and 3 days for visiting researchers.

Randomized Quality Improvement Trial of Opting-In Versus Opting-Out to Increase Influenza Vaccination Rates during Pregnancy.

Introduction Despite strong recommendations, only 40.6% of pregnant women attending two prenatal clinics were vaccinated against influenza during the 2009 pandemic. We tested whether an opting-out approach would improve vaccine uptake. Methods We conducted a randomized quality improvement (QI) trial to compare opting-out with conventional opting-in consent for influenza immunization. Women age ≥ 18 years attending the University of Texas Health Science Center at Houston (UTHealth) or UT-Medical Branch (UTMB) prenatal clinics during the 2010-2011 influenza season, were eligible. Results We enrolled 280 women (140 UTHealth, 140 UTMB). Both groups had similar mean age (26.0 ± 5.5 years), mean gestational age (19.4 ± 9.5 weeks), and percent with underlying health conditions (20.7%). Vaccination rates with opting-in and opting-out were similar among all (83 vs. 84%), UTHealth (87 vs. 93%), and UTMB patients (79 vs.76%) ( p > 0.05). In subsamples of patients assessed, consent strategy did not significantly affect maternal recall of information provided. Conclusion While prenatal influenza vaccination uptake doubled from the 2009-2010 influenza season, opting-out did not perform better than opting-in, a conclusion opposite that we would have reached had this been a nonconcurrent trial. Vaccination rates dropped posttrial; hence, continued research is needed to increase the prenatal influenza immunizations.