Examining Utilization of an Outpatient Telenutrition Service Across Primary Care Clinics in South Carolina.

Introduction: Limited research exists on outpatient telenutrition, and more evidence is needed on service utilization and program evaluation. This study explored service utilization trends and patterns of the Medical University of South Carolina (MUSC) Outpatient Telehealth Nutrition (OT Nutrition) service. Methods: De-identified patient service utilization data were obtained from MUSC's OT Nutrition administrative files (2012-2020). Service utilization (referrals, visits scheduled, consultations, no-shows, no-show rate) was measured at the clinic level and stratified by patient type (adult/pediatric) and clinic rurality (rural/urban). Data were analyzed using descriptive statistics and a K-means cluster analysis. Results: Service utilization (2012-2020) reflected 6,212 referrals, 3,993 visits scheduled, and 2,880 consultations across 56 clinics. Yearly utilization trends showed high variability with no statistically significant differences observed on univariate comparisons of patient type or clinic rurality. The introduction of the Direct-To-Consumer modality mitigated a 36.7% decrease in consultations during the COVID-19 pandemic in 2020. Results of a K-means cluster analysis (p < 0.001) indicated 7% (n = 4) of clinics were very high and high utilizers, 36% (n = 21) were moderate and low utilizers, and 53% (n = 31) were very low utilizers. Discussion: Telenutrition can be delivered effectively to patients without requiring travel outside patients' medical homes or residences. Although continued advocacy is necessary for South Carolina to expand telenutrition coverage, more research is needed to evaluate the OT Nutrition service. Cluster analysis is an effective tool for identifying statistically significant groupings of clinics based on service utilization and could be used with implementation science in future program evaluation.

Design and preclinical evaluation of a universal SARS-CoV-2 mRNA vaccine.

Because of the rapid mutations of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), an effective vaccine against SARS-CoV-2 variants is needed to prevent coronavirus disease 2019 (COVID-19). T cells, in addition to neutralizing antibodies, are an important component of naturally acquired protective immunity, and a number of studies have shown that T cells induced by natural infection or vaccination contribute significantly to protection against several viral infections including SARS-CoV-2. However, it has never been tested whether a T cell-inducing vaccine can provide significant protection against SARS-CoV-2 infection in the absence of preexisting antibodies. In this study, we designed and evaluated lipid nanoparticle (LNP) formulated mRNA vaccines that induce only T cell responses or both T cell and neutralizing antibody responses by using two mRNAs. One mRNA encodes SARS-CoV-2 Omicron Spike protein in prefusion conformation for induction of neutralizing antibodies. The other mRNA encodes over one hundred T cell epitopes (multi-T cell epitope or MTE) derived from non-Spike but conserved regions of the SARS-CoV-2. We show immunization with MTE mRNA alone protected mice from lethal challenge with the SARS-CoV-2 Delta variant or a mouse-adapted virus MA30. Immunization with both mRNAs induced the best protection with the lowest viral titer in the lung. These results demonstrate that induction of T cell responses, in the absence of preexisting antibodies, is sufficient to confer protection against severe disease, and that a vaccine containing mRNAs encoding both the Spike and MTE could be further developed as a universal SARS-CoV-2 vaccine.

Development and Evolution of a Statewide Outpatient Consultation Service: Leveraging Telemedicine to Improve Access to Specialty Care.

Despite a robust health care system in the United States, many Americans experience health care disparities as a result of poor access to medical care. Academic medicine plays an important role in addressing health care disparities by providing primary and specialty care for the poor and uninsured. In South Carolina, 43 of its 46 counties are designated as fully or partially Medically Underserved Areas (MUAs), defined as areas with a shortage of medical providers, high infant mortality, and either high elderly population or high poverty rates. To address these health care disparities, an academic medical center in South Carolina created a hub-and-spoke specialty care model using telemedicine in partnership with primary care providers across community settings. Initial private foundation grant funding enabled the development and dissemination of technology to provide remote teleconsultations by physicians at the academic medical center (hub) to patients in their primary care offices (spoke). This model, now supported by recurring state funding and professional billing, provides much-needed services, including psychiatry, nutrition counseling, and various surgical and medical subspecialties, to rural and underserved populations in the state. This manuscript provides a narrative review of the development of this statewide telemedicine service, with an emphasis on identification of stakeholders, technology issues, barriers to implementation, and future directions.

A mixed methods descriptive investigation of readiness to change in rural hospitals participating in a tele-critical care intervention.

BACKGROUND: Telemedicine technology can improve care to patients in rural and medically underserved communities yet adoption has been slow. The objective of this study was to study organizational readiness to participate in an academic-community hospital partnership including clinician education and telemedicine outreach focused on sepsis and trauma care in underserved, rural hospitals. METHODS: This is a multi-method, observational case study. Participants included staff from 4 participating rural South Carolina hospitals. Using a readiness-for-change model, we evaluated 5 general domains and the related factors or topics of organizational context via key informant interviews (n=23) with hospital leadership and staff, compared these to data from hospital staff surveys (n=86) and triangulated data with investigators' observational reports. Survey items were grouped into 4 categories (based on content and fit with conceptual model) and scored, allowing regression analyses for inferential comparisons to assess factors related to receptivity toward the telemedicine innovation. RESULTS: General agreement existed on the need for the intervention and feasibility of implementation. Previous experience with a telemedicine program appeared pivotal to enthusiasm. Perception of need, task demands and resource need explained nearly 50% of variation in receptivity. Little correlation emerged with hospital or ED leadership culture and support. However qualitative data and investigator observations about communication and differing support among disciplines and between staff and leadership could be important to actual implementation. CONCLUSIONS: A mixed methods approach proved useful in assessing organizational readiness for change in small organizations. Further research on variable operational definitions, potential influential factors, appropriate and feasible methods and valid instruments for such research are needed.