Incivility in the Online and Hybrid Learning Environment During the COVID-19 Pandemic Era.

ABSTRACT: With the surge in online learning since the onset of the COVID-19 pandemic, fostering civil behavior in this environment is essential. This mixed-methods study examined online incivility among faculty and students at two schools of nursing using a quantitative survey instrument with several open-ended questions addressing the impact of the pandemic. Survey results suggested that faculty ( n = 23) and students ( n = 74) experienced a low frequency of online incivility that remained potentially disruptive. Qualitative analyses suggested that the pandemic placed considerable strain on nursing faculty and students while providing increased flexibility for working and learning.

Trends in Practice Patterns and Perspectives of Colorado Certified Nurse-Midwives.

Healthcare resources are stretched perilously thin and the demand for primary healthcare services has never been greater. Despite this demand for service, relatively little is known about the practice environment of primary healthcare providers, particularly certified nurse-midwives (CNMs), where workforce surveys frequently include these specialists within the broader nurse practitioner category. A distinct professional discipline, nurse-midwives are one type of primary care provider recommended to enhance access to services. The objective of this study was to understand the nature of the nurse-midwifery practice environment in the state of Colorado. Online survey of Colorado CNMs (N = 328) found little ethnic/racial diversity and an aging workforce, with most providing care in an urban, hospital/medical center environment. Several key legislative issues were identified though respondents felt ill prepared to engage in legislative change. Overall, CNMs were optimistic about the future of midwifery and were largely satisfied with their practice.

Modeling hospital response to mild and severe influenza pandemic scenarios under normal and expanded capacities.

William Beaumont Army Medical Center conducted quantitative modeling with FluSurge 2.0 (Centers for Disease Control and Prevention) to determine hospital capabilities in responding to patient arrival surges of the Fort Bliss population in mild 1968-type and severe 1918-type influenza pandemics. Model predictions showed that William Beaumont Army Medical Center could adequately care for all intensive care unit (ICU) and non-ICU patients during a mild pandemic, particularly if hospital capacity was expanded using the emergency management plan, excess surge plan, or activation of a contagious disease outbreak facility. For a severe influenza pandemic, model predictions showed that hospital beds, ventilators, and other resources would be exceeded within 2 or 3 weeks. Even at maximal hospital expansion, for a 12-week severe pandemic with a 35% attack rate there would be peak demand for 214% of available non-ICU beds, 785% of ICU beds, and 392% of ventilators. Health care planners and decision-makers should prepare for resource challenges when developing plans for the next influenza pandemic.