Working conditions for hospital-based maternity and neonatal health care workers during extraordinary situations - A pre-/post COVID-19 pandemic analysis and lessons learned.

OBJECTIVE: The aim of this study was to investigate how the changed work routines during the COVID-19 pandemic has been affecting the working environment for hospital-based maternity and neonatal health care workers, and to identify preventive measures to be used in future situations when health care organizations are under pressure. METHODS: All maternity and neonatal health care workers in a Swedish university hospital were surveyed during October 2019 and September 2020. The data was analyzed by document analysis of implemented changes in working routines, a quantitative analysis of the overall effects on the working conditions, and a qualitative analysis of open-ended responses. RESULTS: A total of 660 maternity and neonatal health care workers completed the pre-COVID-19 survey (74% response rate) and 382 the COVID-19 survey (35% response rate). Lack of personal protective equipment, worry about becoming infected, uncertainty whether implemented changes were enough, and challenges in communicating updated routines had negative effects on maternity and neonatal health care workers' working conditions. Team spirit and feeling valued by peers had a positive effect. CONCLUSIONS: Results suggest that negative effects on maternity and neonatal health care workers' health can partly be prevented in future critical situations by creating a work climate that acknowledges the employees' worry about being infected, securing adequate pre-conditions for managers, creating a strong psychosocial safety climate and systematically improving the working conditions for the maternity and neonatal health care workers, as well as maintaining the positive perceived effects of increased team spirit and feeling valued by peers.

"Should I stay or should I go?" Nurses' perspectives about working during the Covid-19 pandemic's first wave in the United States: A summative content analysis combined with topic modeling.

BACKGROUND: The COVID-19 pandemic had its first peak in the United States between April and July of 2020, with incidence and prevalence rates of the virus the greatest in the northeastern coast of the country. At the time of study implementation, there were few studies capturing the perspectives of nurses working the frontlines of the pandemic in any setting as research output in the United States focused largely on treating the disease. OBJECTIVE: The purpose of this study was to capture the perspectives of nurses in the United States working the frontlines of the COVID-19 pandemic's first wave. We were specifically interested in examining the impact of the pandemic on nurses' roles, professional relationships, and the organizational cultures of their employers. DESIGN: We conducted an online qualitative study with a pragmatic design to capture the perspectives of nurses working during the first wave of the United States COVID-19 pandemic. Through social networking recruitment, frontline nurses from across the country were invited to participate. Participants provided long form, text-based responses to four questions designed to capture their experiences. A combination of Latent Dirichlet Allocation--a natural language processing technique--along with traditional summative content analysis techniques were used to analyze the data. SETTING: The United States during the COVID-19 pandemic's first wave between May and July of 2020. RESULTS: A total of 318 nurses participated from 29 out of 50 states, with 242 fully completing all questions. Findings suggested that the place of work mattered significantly in terms of the frontline working experience. It influenced role changes, risk assumption, interprofessional teamwork experiences, and ultimately, likelihood to leave their jobs or the profession altogether. Organizational culture and its influence on pandemic response implementation was a critical feature of their experiences. CONCLUSIONS: Findings suggest that organizational performance during the pandemic may be reflected in nursing workforce retention as the risk for workforce attrition appears high. It was also clear from the reports that nurses appear to have assumed higher occupational risks during the pandemic when compared to other providers. The 2020 data from this study also offered a number of signals about potential threats to the stability and sustainability of the US nursing workforce that are now manifesting. The findings underscore the importance of conducting health workforce research during a crisis in order to discern the signals of future problems or for long-term crisis response. TWEETABLE ABSTRACT: Healthcare leaders made the difference for nurses during the pandemic. How many nurses leave their employer in the next year will tell you who was good, who wasn't.

The Utilization of an Electronic Consultation Service During the Coronavirus Disease 2019 Pandemic.

Objective: The coronavirus disease 2019 (COVID-19) pandemic forced many clinicians to rapidly adopt changes in their practice. In this study, we compared patterns of utilization of Ontario eConsult before and after the onset of the COVID-19 pandemic, to assess COVID 19's impact on how eConsult is used. Materials and Methods: We conducted a longitudinal analysis of registration and utilization data for Ontario eConsult. All primary care providers (PCPs) and specialists who joined the service between March 2019 and November 2020, and all eConsult cases closed during the same period were included. The data were divided into two timeframes for comparison: prepandemic (March 2019-February 2020) and pandemic (March 2020-November 2020). Results: In total, 5,925 PCPs joined during the study period, more than doubling total enrollment to 11,397. The average monthly number of eConsults increased from 2,405 (standard deviation [SD] = 260) prepandemic to 3,906 (SD = 420) pandemic. Case volume jumped to 24.3% in the first month of the pandemic, and increased by 71% during the COVID-19 pandemic timeframe. The median response time was similar in both timeframes (prepandemic: 1.0 days; pandemic: 0.9 days). The proportion of cases resulting in new/additional information (prepandemic: 55%, pandemic: 57%) or avoidance of a contemplated referral (prepandemic: 52%, pandemic: 51%) remained consistent between timeframes. Conclusions: Registration to and usage of eConsult increased during the pandemic. Metrics of the service's impact, including response time, percentage of cases resulting in new or additional information, and avoidance of originally contemplated referrals were all consistent between the prepandemic and COVID-19 pandemic timeframes, suggesting scalability.