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The SARS-CoV-2 outbreak from October 2020 through February 2021 was the largest outbreak as of February 2021, and timely information on current representative prevalence, vaccination, and loss of prior antibody protection was unknown. In February 2021, the South Carolina Department of Health and Environmental Control conducted a random sampling point prevalence investigation consisting of viral and antibody testing and an associated health survey, after selecting participants aged ≥5 years using a population proportionate to size of South Carolina residents. A total of 1917 residents completed a viral test, 1803 completed an antibody test, and 1463 completed ≥1 test and a matched health survey. We found an incidence of 2.16 per 100 residents and seroprevalence of 16.4% among South Carolina residents aged ≥5 years. Undetectable immunoglobulin G and immunoglobulin M antibodies were noted in 28% of people with a previous positive test result, highlighting the need for targeted education among people who may be susceptible to reinfection. We also found a low rate of vaccine hesitancy in the state (13%). The results of this randomly selected surveillance and associated health survey have important implications for prospective COVID-19 public health response efforts. Most notably, this article provides a feasible framework for prompt rollout of a statewide evidence-based surveillance initiative.

Ethical and legal requirements for healthcare providers in the United States, stipulate that patients sign a consent form prior to undergoing medical treatment or participating in a research study. Currently, the majority of the hospitals obtain these consents using paper-based forms, which makes patient preference data cumbersome to store, search and retrieve. To address these issues, Health Sciences of South Carolina (HSSC), a collaborative of academic medical institutions and research universities in South Carolina, is developing an electronic consenting system, the Research Permissions Management System (RPMS). This article reports the findings of a study conducted to investigate the efficacy of the two proposed interfaces for this system - an iPad-based and touchscreen-based by comparing them to the paper-based and Topaz-based systems currently in use.This study involved 50 participants: 10 hospital admission staff and 40 patients. The four systems were compared with respect to the time taken to complete the consenting process, the number of errors made by the patients, the workload experienced by the hospital staff and the subjective ratings of both patients and staff on post-test questionnaires.The results from the empirical study indicated no significant differences in the time taken to complete the tasks. More importantly, the participants found the new systems more usable than the conventional methods with the registration staff experiencing the least workload in the iPad and touchscreen-based conditions and the patients experiencing more privacy and control during the consenting process with the proposed electronic systems. In addition, they indicated better comprehension and awareness of what they were signing using the new interfaces.The results indicate the two methods proposed for capturing patient consents are at least as effective as the conventional methods, and superior in several important respects. While more research is needed, these findings suggest the viability of cautious adoption of electronic consenting systems, especially because these new systems appear to address the challenge of identifying the participants required for the complex research being conducted as the result of advances in the biomedical sciences.

BackgroundOne mechanism to increase participation in research is to solicit potential research participants’ general willingness to be recruited into clinical trials. Such research permissions and consents typically are collected on paper upon patient registration. We describe a novel method of capturing this information electronically.PurposeThe objective is to enable the collection of research permissions and informed consent data electronically to permit tracking of potential research participants’ interest in current and future research involvement and to provide a foundation for facilitating the research workflow.MethodsThe project involved systematic analysis focused on key areas, including existing business practices, registration processes, and permission collection workflows, and ascertaining best practices for presenting consent information to users via tablet technology and capturing permissions data. Analysis was followed by an iterative software development cycle with feedback from subject matter experts and users.ResultsAn initial version of the software was piloted at one institution in South Carolina for a period of 1 year, during which consents and permission were collected during 2524 registrations of patients. The captured research permission data were transmitted to a clinical data warehouse. The software was later released as an open-source package that can be adopted for use by other institutions.LimitationsThere are significant ethical, legal, and informatics challenges that must be addressed at an institution to deploy such a system. We have not yet assessed the long-term impact of the system on recruitment of patients to clinical trials.ConclusionsWe propose that by improving the ability to track willing potential research participants, we can improve recruitment into clinical trials and, in the process, improve patient education by introducing multimedia to informed consent documents.