A strengths, weaknesses, opportunities, and threats analysis- A study of Association of Community/Public Health Nursing Educators members.

OBJECTIVE: Aims of this study were to identify the Association of Community/Public Health Nursing Educators members' demographics, educational preparation, and research competencies; and, to complete a strengths, weaknesses, opportunities, and threats (SWOT) analysis. METHODS: A descriptive-correlational design was employed. Primary data collection was via electronic survey. Authors developed a survey focusing on demographics and aligning Benner's theory with research skills/experience. SWOT and gap analyses were performed. RESULTS: A 27.2% response rate (N = 352) revealed a lack of diversity among 70% doctorally prepared membership, perceived competence with interprofessional collaboration (80%), and applying research to practice (80%). Doctorally prepared members reported experience using longitudinal designs (p = .05). PhD-prepared members reported experience using psychometrics and evaluations (p = .05). SWOT revealed a lack of service engagement. Gap analysis offered solutions to execute strategic goals. CONCLUSIONS: Association of Community/Public Health Nursing Educators may enhance future direction by advancing member diversity, professional development, collaborative scholarship, and mentoring.

The Omaha System as a Structured Instrument for Bridging Nursing Informatics With Public Health Nursing Education: A Feasibility Study.

Advancements in healthcare systems include adoption of health information technology to ensure healthcare quality. Educators are challenged to determine strategies to integrate health information technology into nursing curricula for building a nursing workforce competent with electronic health records, standardized terminology, evidence-based practice, and evaluation. Nursing informatics, a growing specialty field, comprises health information technology relative to the profession of nursing. It is essential to integrate nursing informatics across nursing curricula to effectively position competent graduates in technology-laden healthcare environments. Nurse scholars developed and evaluated a nursing informatics case study assignment used in undergraduate level public health nursing courses. The assignment included an unfolding scenario followed by electronic health record charting using standardized terminology to guide the nursing process. The assignment was delivered either online or in class. Seventy-two undergraduate students completed the assignment and a posttest. Fifty-one students completed a satisfaction survey. Results indicated that students who completed the assignment online demonstrated a higher level of content mastery than those who completed the assignment in class. Content mastery was based on posttest results, which evaluated students' electronic health record charting for the nursing assessment, evidence-based interventions, and evaluations. This innovative approach may be valuable to educators in response to the National Academy of Sciences recommendations for healthcare education reform.

Not Just Another Committee: How to Create a College-Specific Framework to Support Interprofessional Education.

During the 2019-2020 academic year, the Southeast Missouri State University College of Education, Health, and Human Studies initiated a college-level Interprofessional Education (IPE) Committee to identify methods for collaboration, interprofessional research opportunities, and cross-disciplinary learning experiences. The IPE Committee determined that IPE was an installed component of the healthcare majors, without significant interactions between programs, and non-healthcare programs were omitted from formal IPE efforts. The exclusion of the non-healthcare academic majors from traditional healthcare initiatives limited faculty and student interactions, notably between the educator preparatory and healthcare programs. The IPE Committee determined the need to develop a college-specific framework that includes healthcare and non-healthcare academic programs. The IPE Committee additionally decided to combine the IPEC Core Competencies with the 4Cs of Future Ready Learning to create an inclusive framework. The IPE Committee created a college-specific competency map and disseminated the information through all college departments to further promote IPE collaboration across the college. The IPE Committee purposely created a sustainable structure to leverage existing interprofessional relationships and discover new opportunities for interprofessional collaboration. Colleges housing healthcare and non-healthcare programs can develop distinctive methods for incorporating IPE into their collaborative academic structure.

Quantitative Structure-Activity Relationship Machine Learning Models and their Applications for Identifying Viral 3CLpro- and RdRp-Targeting Compounds as Potential Therapeutics for COVID-19 and Related Viral Infections.

In response to the ongoing COVID-19 pandemic, there is a worldwide effort being made to identify potential anti-SARS-CoV-2 therapeutics. Here, we contribute to these efforts by building machine-learning predictive models to identify novel drug candidates for the viral targets 3 chymotrypsin-like protease (3CLpro) and RNA-dependent RNA polymerase (RdRp). Chemist-curated training sets of substances were assembled from CAS data collections and integrated with curated bioassay data. The best-performing classification models were applied to screen a set of FDA-approved drugs and CAS REGISTRY substances that are similar to, or associated with, antiviral agents. Numerous substances with potential activity against 3CLpro or RdRp were found, and some were validated by published bioassay studies and/or by their inclusion in upcoming or ongoing COVID-19 clinical trials. This study further supports that machine learning-based predictive models may be used to assist the drug discovery process for COVID-19 and other diseases.

Potential Therapeutic Agents and Associated Bioassay Data for COVID-19 and Related Human Coronavirus Infections.

The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has led to several million confirmed cases and hundreds of thousands of deaths worldwide. To support the ongoing research and development of COVID-19 therapeutics, this report provides an overview of protein targets and corresponding potential drug candidates with bioassay and structure-activity relationship data found in the scientific literature and patents for COVID-19 or related virus infections. Highlighted are several sets of small molecules and biologics that act on specific targets, including 3CLpro, PLpro, RdRp, S-protein-ACE2 interaction, helicase/NTPase, TMPRSS2, and furin, which are involved in the viral life cycle or in other aspects of the disease pathophysiology. We hope this report will be valuable to the ongoing drug repurposing efforts and the discovery of new therapeutics with the potential for treating COVID-19.